diff --git a/.dvc/config b/.dvc/config
index 7a66883..015b325 100644
--- a/.dvc/config
+++ b/.dvc/config
@@ -5,3 +5,9 @@
     port = 22
 ['remote "azure_remote"']
     url = azure://cv-sa-dvc/
+        connection_string = "DefaultEndpointsProtocol=https;AccountName=cvsacricket;AccountKey=KOuTAQ6Mp00ePTT5ObYmgaHlxwS1qukY4QU4Kuk7gy/vldneA+ZiKjaOpEFtqKA6Mtym2gQz8THy+ASts/Y1Bw==;EndpointSuffix=core.windows.net"
+['remote "local"']
+    url = ../dvc_local_remote
+
+        
+
diff --git a/README.md b/README.md
index bcc4793..873b104 100644
--- a/README.md
+++ b/README.md
@@ -1,8 +1,59 @@
 # cv-analysis — Visual (CV-Based) Document Parsing
-
+parse_pdf()
 This repository implements computer vision based approaches for detecting and parsing visual features such as tables or
 previous redactions in documents.
 
+## API
+
+Input message:
+
+```json
+{
+  "targetFilePath": {
+    "pdf": "absolute file path",
+    "vlp_output": "absolute file path"
+  },
+  "responseFilePath": "absolute file path",
+  "operation": "table_image_inference"
+}
+```
+
+Response is uploaded to the storage as specified in the `responseFilePath` field. The structure is as follows:
+
+```json
+{
+  ...,
+  "data": [
+    {
+      'pageNum': 0,
+      'bbox': {
+        'x1': 55.3407,
+        'y1': 247.0246,
+        'x2': 558.5602,
+        'y2': 598.0585
+      },
+      'uuid': '2b10c1a2-393c-4fca-b9e3-0ad5b774ac84',
+      'label': 'table',
+      'tableLines': [
+        {
+          'x1': 0,
+          'y1': 16,
+          'x2': 1399,
+          'y2': 16
+        },
+        ...
+      ],
+      'imageInfo': {
+        'height': 693,
+        'width': 1414
+      }
+    },
+    ...
+  ]
+}
+
+```
+
 ## Installation
 
 ```bash
@@ -31,10 +82,9 @@ The below snippet shows hot to find the outlines of previous redactions.
 
 ```python
 from cv_analysis.redaction_detection import find_redactions
-import pdf2image 
+import pdf2image
 import numpy as np
 
-
 pdf_path = ...
 page_index = ...
 
diff --git a/flake.lock b/flake.lock
new file mode 100644
index 0000000..fa6bbfd
--- /dev/null
+++ b/flake.lock
@@ -0,0 +1,61 @@
+{
+  "nodes": {
+    "flake-utils": {
+      "inputs": {
+        "systems": "systems"
+      },
+      "locked": {
+        "lastModified": 1710146030,
+        "narHash": "sha256-SZ5L6eA7HJ/nmkzGG7/ISclqe6oZdOZTNoesiInkXPQ=",
+        "owner": "numtide",
+        "repo": "flake-utils",
+        "rev": "b1d9ab70662946ef0850d488da1c9019f3a9752a",
+        "type": "github"
+      },
+      "original": {
+        "owner": "numtide",
+        "repo": "flake-utils",
+        "type": "github"
+      }
+    },
+    "nixpkgs": {
+      "locked": {
+        "lastModified": 1711703276,
+        "narHash": "sha256-iMUFArF0WCatKK6RzfUJknjem0H9m4KgorO/p3Dopkk=",
+        "owner": "NixOS",
+        "repo": "nixpkgs",
+        "rev": "d8fe5e6c92d0d190646fb9f1056741a229980089",
+        "type": "github"
+      },
+      "original": {
+        "owner": "NixOS",
+        "ref": "nixos-unstable",
+        "repo": "nixpkgs",
+        "type": "github"
+      }
+    },
+    "root": {
+      "inputs": {
+        "flake-utils": "flake-utils",
+        "nixpkgs": "nixpkgs"
+      }
+    },
+    "systems": {
+      "locked": {
+        "lastModified": 1681028828,
+        "narHash": "sha256-Vy1rq5AaRuLzOxct8nz4T6wlgyUR7zLU309k9mBC768=",
+        "owner": "nix-systems",
+        "repo": "default",
+        "rev": "da67096a3b9bf56a91d16901293e51ba5b49a27e",
+        "type": "github"
+      },
+      "original": {
+        "owner": "nix-systems",
+        "repo": "default",
+        "type": "github"
+      }
+    }
+  },
+  "root": "root",
+  "version": 7
+}
diff --git a/flake.nix b/flake.nix
new file mode 100644
index 0000000..d5d9c3a
--- /dev/null
+++ b/flake.nix
@@ -0,0 +1,33 @@
+{
+  description = "An flake to use a Python poetry project in an FHS environment when poetry2nix is uncooperative";
+  inputs = {
+    flake-utils.url = "github:numtide/flake-utils";
+    nixpkgs.url = "github:NixOS/nixpkgs/nixos-unstable";
+  };
+  outputs = {
+    self,
+    nixpkgs,
+    flake-utils,
+  }:
+    flake-utils.lib.eachDefaultSystem (system: let
+      pkgs = nixpkgs.legacyPackages.${system};
+      fhsEnv =
+        (pkgs.buildFHSUserEnv rec {
+          name = "cv-analysis-service";
+          targetPkgs = pkgs: (with pkgs; [
+            poppler_utils
+            zlib
+            poetry
+            libuuid
+            # add the system package here that are needed for the Python package dependencies
+            libz # needed for 'numpy'
+          ]);
+          profile = ''
+            export LD_LIBRARY_PATH="/lib:$LD_LIBRARY_PATH:${pkgs.lib.makeLibraryPath [pkgs.libuuid]}"
+            poetry install # add --no-root here if this is just a metapackage
+            source "$(poetry env info --path)"/bin/activate
+          '';
+        })
+        .env;
+    in {devShells.default = fhsEnv;});
+}
diff --git a/poetry.lock b/poetry.lock
index ed64319..63f7494 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,14 +1,14 @@
-# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
 
 [[package]]
 name = "adlfs"
-version = "2024.2.0"
+version = "2024.4.1"
 description = "Access Azure Datalake Gen1 with fsspec and dask"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "adlfs-2024.2.0-py3-none-any.whl", hash = "sha256:6514fb147032eea843e4b773c557df90cf6a929185edc7c97f7a12b91bfc1fa1"},
-    {file = "adlfs-2024.2.0.tar.gz", hash = "sha256:860f5ddbd7f3c2553d84a101717dc5736e823305e0d51e8c0058bc85a7fa304d"},
+    {file = "adlfs-2024.4.1-py3-none-any.whl", hash = "sha256:acea94612ddacaa34ea8c6babcc95b8da6982f930cdade7a86fbd17382403e16"},
+    {file = "adlfs-2024.4.1.tar.gz", hash = "sha256:75530a45447f358ae53c5c39c298b8d966dae684be84db899f63b94cd96fc000"},
 ]
 
 [package.dependencies]
@@ -25,87 +25,87 @@ tests = ["arrow", "dask[dataframe]", "docker", "pytest", "pytest-mock"]
 
 [[package]]
 name = "aiohttp"
-version = "3.9.3"
+version = "3.9.5"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
@@ -184,13 +184,13 @@ files = [
 
 [[package]]
 name = "anyio"
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+version = "4.3.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.8"
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-    {file = "anyio-4.2.0.tar.gz", hash = "sha256:e1875bb4b4e2de1669f4bc7869b6d3f54231cdced71605e6e64c9be77e3be50f"},
+    {file = "anyio-4.3.0-py3-none-any.whl", hash = "sha256:048e05d0f6caeed70d731f3db756d35dcc1f35747c8c403364a8332c630441b8"},
+    {file = "anyio-4.3.0.tar.gz", hash = "sha256:f75253795a87df48568485fd18cdd2a3fa5c4f7c5be8e5e36637733fce06fed6"},
 ]
 
 [package.dependencies]
@@ -217,13 +217,13 @@ files = [
 
 [[package]]
 name = "argcomplete"
-version = "3.2.2"
+version = "3.3.0"
 description = "Bash tab completion for argparse"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "argcomplete-3.2.2-py3-none-any.whl", hash = "sha256:e44f4e7985883ab3e73a103ef0acd27299dbfe2dfed00142c35d4ddd3005901d"},
-    {file = "argcomplete-3.2.2.tar.gz", hash = "sha256:f3e49e8ea59b4026ee29548e24488af46e30c9de57d48638e24f54a1ea1000a2"},
+    {file = "argcomplete-3.3.0-py3-none-any.whl", hash = "sha256:c168c3723482c031df3c207d4ba8fa702717ccb9fc0bfe4117166c1f537b4a54"},
+    {file = "argcomplete-3.3.0.tar.gz", hash = "sha256:fd03ff4a5b9e6580569d34b273f741e85cd9e072f3feeeee3eba4891c70eda62"},
 ]
 
 [package.extras]
@@ -288,13 +288,13 @@ tests = ["pytest"]
 
 [[package]]
 name = "asgiref"
-version = "3.7.2"
+version = "3.8.1"
 description = "ASGI specs, helper code, and adapters"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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+    {file = "asgiref-3.8.1-py3-none-any.whl", hash = "sha256:3e1e3ecc849832fe52ccf2cb6686b7a55f82bb1d6aee72a58826471390335e47"},
+    {file = "asgiref-3.8.1.tar.gz", hash = "sha256:c343bd80a0bec947a9860adb4c432ffa7db769836c64238fc34bdc3fec84d590"},
 ]
 
 [package.dependencies]
@@ -375,13 +375,13 @@ pywin32 = ["pywin32 (>=227)"]
 
 [[package]]
 name = "atpublic"
-version = "4.0"
+version = "4.1.0"
 description = "Keep all y'all's __all__'s in sync"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "atpublic-4.0-py3-none-any.whl", hash = "sha256:80057c55641253b86dcb68b524f82328172371b6547d4c7462a9127fbfbbabfc"},
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+    {file = "atpublic-4.1.0-py3-none-any.whl", hash = "sha256:df90de1162b1a941ee486f484691dc7c33123ee638ea5d6ca604061306e0fdde"},
+    {file = "atpublic-4.1.0.tar.gz", hash = "sha256:d1c8cd931af7461f6d18bc6063383e8654d9e9ef19d58ee6dc01e8515bbf55df"},
 ]
 
 [[package]]
@@ -405,13 +405,13 @@ tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "p
 
 [[package]]
 name = "azure-core"
-version = "1.30.0"
+version = "1.30.1"
 description = "Microsoft Azure Core Library for Python"
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "azure-core-1.30.1.tar.gz", hash = "sha256:26273a254131f84269e8ea4464f3560c731f29c0c1f69ac99010845f239c1a8f"},
+    {file = "azure_core-1.30.1-py3-none-any.whl", hash = "sha256:7c5ee397e48f281ec4dd773d67a0a47a0962ed6fa833036057f9ea067f688e74"},
 ]
 
 [package.dependencies]
@@ -440,30 +440,30 @@ requests = ">=2.20.0"
 
 [[package]]
 name = "azure-identity"
-version = "1.15.0"
+version = "1.16.0"
 description = "Microsoft Azure Identity Library for Python"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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+    {file = "azure-identity-1.16.0.tar.gz", hash = "sha256:6ff1d667cdcd81da1ceab42f80a0be63ca846629f518a922f7317a7e3c844e1b"},
+    {file = "azure_identity-1.16.0-py3-none-any.whl", hash = "sha256:722fdb60b8fdd55fa44dc378b8072f4b419b56a5e54c0de391f644949f3a826f"},
 ]
 
 [package.dependencies]
-azure-core = ">=1.23.0,<2.0.0"
+azure-core = ">=1.23.0"
 cryptography = ">=2.5"
-msal = ">=1.24.0,<2.0.0"
-msal-extensions = ">=0.3.0,<2.0.0"
+msal = ">=1.24.0"
+msal-extensions = ">=0.3.0"
 
 [[package]]
 name = "azure-storage-blob"
-version = "12.19.0"
+version = "12.19.1"
 description = "Microsoft Azure Blob Storage Client Library for Python"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -550,13 +550,13 @@ files = [
 
 [[package]]
 name = "celery"
-version = "5.3.6"
+version = "5.4.0"
 description = "Distributed Task Queue."
 optional = false
 python-versions = ">=3.8"
 files = [
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-    {file = "celery-5.3.6.tar.gz", hash = "sha256:870cc71d737c0200c397290d730344cc991d13a057534353d124c9380267aab9"},
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+    {file = "celery-5.4.0.tar.gz", hash = "sha256:504a19140e8d3029d5acad88330c541d4c3f64c789d85f94756762d8bca7e706"},
 ]
 
 [package.dependencies]
@@ -572,7 +572,7 @@ vine = ">=5.1.0,<6.0"
 
 [package.extras]
 arangodb = ["pyArango (>=2.0.2)"]
-auth = ["cryptography (==41.0.5)"]
+auth = ["cryptography (==42.0.5)"]
 azureblockblob = ["azure-storage-blob (>=12.15.0)"]
 brotli = ["brotli (>=1.0.0)", "brotlipy (>=0.7.0)"]
 cassandra = ["cassandra-driver (>=3.25.0,<4)"]
@@ -582,22 +582,23 @@ couchbase = ["couchbase (>=3.0.0)"]
 couchdb = ["pycouchdb (==1.14.2)"]
 django = ["Django (>=2.2.28)"]
 dynamodb = ["boto3 (>=1.26.143)"]
-elasticsearch = ["elastic-transport (<=8.10.0)", "elasticsearch (<=8.11.0)"]
+elasticsearch = ["elastic-transport (<=8.13.0)", "elasticsearch (<=8.13.0)"]
 eventlet = ["eventlet (>=0.32.0)"]
+gcs = ["google-cloud-storage (>=2.10.0)"]
 gevent = ["gevent (>=1.5.0)"]
 librabbitmq = ["librabbitmq (>=2.0.0)"]
 memcache = ["pylibmc (==1.6.3)"]
 mongodb = ["pymongo[srv] (>=4.0.2)"]
-msgpack = ["msgpack (==1.0.7)"]
-pymemcache = ["python-memcached (==1.59)"]
+msgpack = ["msgpack (==1.0.8)"]
+pymemcache = ["python-memcached (>=1.61)"]
 pyro = ["pyro4 (==4.82)"]
-pytest = ["pytest-celery (==0.0.0)"]
+pytest = ["pytest-celery[all] (>=1.0.0)"]
 redis = ["redis (>=4.5.2,!=4.5.5,<6.0.0)"]
 s3 = ["boto3 (>=1.26.143)"]
 slmq = ["softlayer-messaging (>=1.0.3)"]
 solar = ["ephem (==4.1.5)"]
 sqlalchemy = ["sqlalchemy (>=1.4.48,<2.1)"]
-sqs = ["boto3 (>=1.26.143)", "kombu[sqs] (>=5.3.0)", "pycurl (>=7.43.0.5)", "urllib3 (>=1.26.16)"]
+sqs = ["boto3 (>=1.26.143)", "kombu[sqs] (>=5.3.4)", "pycurl (>=7.43.0.5)", "urllib3 (>=1.26.16)"]
 tblib = ["tblib (>=1.3.0)", "tblib (>=1.5.0)"]
 yaml = ["PyYAML (>=3.10)"]
 zookeeper = ["kazoo (>=1.3.1)"]
@@ -793,13 +794,13 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
 [[package]]
 name = "click-didyoumean"
-version = "0.3.0"
+version = "0.3.1"
 description = "Enables git-like *did-you-mean* feature in click"
 optional = false
-python-versions = ">=3.6.2,<4.0.0"
+python-versions = ">=3.6.2"
 files = [
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 ]
 
 [package.dependencies]
@@ -867,64 +868,64 @@ six = "*"
 
 [[package]]
 name = "contourpy"
-version = "1.2.0"
+version = "1.2.1"
 description = "Python library for calculating contours of 2D quadrilateral grids"
 optional = false
 python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
-numpy = ">=1.20,<2.0"
+numpy = ">=1.20"
 
 [package.extras]
 bokeh = ["bokeh", "selenium"]
 docs = ["furo", "sphinx (>=7.2)", "sphinx-copybutton"]
-mypy = ["contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.6.1)", "types-Pillow"]
+mypy = ["contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.8.0)", "types-Pillow"]
 test = ["Pillow", "contourpy[test-no-images]", "matplotlib"]
 test-no-images = ["pytest", "pytest-cov", "pytest-xdist", "wurlitzer"]
 
@@ -994,43 +995,43 @@ toml = ["toml"]
 
 [[package]]
 name = "cryptography"
-version = "42.0.2"
+version = "42.0.5"
 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
 optional = false
 python-versions = ">=3.7"
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 ]
 
 [package.dependencies]
@@ -1446,13 +1425,13 @@ tests = ["Pygments (==2.10.0)", "collective.checkdocs (==0.2)", "dvc[testing]",
 
 [[package]]
 name = "dvc-studio-client"
-version = "0.18.0"
+version = "0.20.0"
 description = "Small library to post data from DVC/DVCLive to Iterative Studio"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "dvc-studio-client-0.18.0.tar.gz", hash = "sha256:41d2ee96bfb3784fad2d71508938197b0917445946090b3bb5ad53354fa35fcc"},
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+    {file = "dvc-studio-client-0.20.0.tar.gz", hash = "sha256:a242e9c46297c689d65ff28d439b7c2e7535b641f09860f871b5628f7ae4bc42"},
+    {file = "dvc_studio_client-0.20.0-py3-none-any.whl", hash = "sha256:b9ee7c419a799ecdaeaf872114e6d664be1584822473fdf8aff43c961a3e2aa3"},
 ]
 
 [package.dependencies]
@@ -1461,19 +1440,19 @@ requests = "*"
 voluptuous = "*"
 
 [package.extras]
-dev = ["mkdocs (==1.5.3)", "mkdocs-gen-files (==0.5.0)", "mkdocs-material (==9.4.6)", "mkdocs-section-index (==0.3.8)", "mkdocstrings-python (==1.7.3)", "pytest (==7.4.2)", "pytest-cov (==4.1.0)", "pytest-mock (==3.12.0)", "pytest-sugar (==0.9.7)"]
-docs = ["mkdocs (==1.5.3)", "mkdocs-gen-files (==0.5.0)", "mkdocs-material (==9.4.6)", "mkdocs-section-index (==0.3.8)", "mkdocstrings-python (==1.7.3)"]
-tests = ["pytest (==7.4.2)", "pytest-cov (==4.1.0)", "pytest-mock (==3.12.0)", "pytest-sugar (==0.9.7)"]
+dev = ["dvc-studio-client[docs]", "dvc-studio-client[tests]", "types-requests"]
+docs = ["mkdocs (==1.5.3)", "mkdocs-gen-files (==0.5.0)", "mkdocs-material (==9.5.8)", "mkdocs-section-index (==0.3.8)", "mkdocstrings-python (==1.8.0)"]
+tests = ["mypy (==1.8.0)", "pytest (==8.0.0)", "pytest-cov (==4.1.0)", "pytest-mock (==3.12.0)", "pytest-sugar (==1.0.0)"]
 
 [[package]]
 name = "dvc-task"
-version = "0.3.0"
+version = "0.4.0"
 description = "Extensible task queue used in DVC."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "dvc-task-0.3.0.tar.gz", hash = "sha256:6ab288bfbbc4a2df8ef145c543bb979d6cb8fb49037fec821a59ad6e1dfdddce"},
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+    {file = "dvc-task-0.4.0.tar.gz", hash = "sha256:c0166626af9c0e932ba18194fbc57df38f22860fcc0fbd450dee14ef9615cd3c"},
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 ]
 
 [package.dependencies]
@@ -1484,19 +1463,19 @@ pywin32 = {version = ">=225", markers = "sys_platform == \"win32\""}
 shortuuid = ">=1.0.8"
 
 [package.extras]
-dev = ["celery-types (==0.15.0)", "flaky (==3.7.0)", "mkdocs (==1.3.1)", "mkdocs-gen-files (==0.3.5)", "mkdocs-material (==8.4.1)", "mkdocs-section-index (==0.3.4)", "mkdocstrings-python (==0.7.1)", "mypy (==0.971)", "pylint (==2.15.0)", "pytest (==7.2.0)", "pytest-celery", "pytest-cov (==3.0.0)", "pytest-mock (==3.8.2)", "pytest-sugar (==0.9.6)", "pytest-test-utils (>=0.0.6)"]
-docs = ["mkdocs (==1.3.1)", "mkdocs-gen-files (==0.3.5)", "mkdocs-material (==8.4.1)", "mkdocs-section-index (==0.3.4)", "mkdocstrings-python (==0.7.1)"]
-tests = ["celery-types (==0.15.0)", "flaky (==3.7.0)", "mypy (==0.971)", "pylint (==2.15.0)", "pytest (==7.2.0)", "pytest-celery", "pytest-cov (==3.0.0)", "pytest-mock (==3.8.2)", "pytest-sugar (==0.9.6)", "pytest-test-utils (>=0.0.6)"]
+dev = ["celery-types", "celery-types (==0.15.0)", "dvc-task[docs,tests]", "mypy (==1.9.0)"]
+docs = ["mkdocs (>=1.5.2,<2)", "mkdocs-gen-files (>=0.5.0,<1)", "mkdocs-material (>=9.3.1,<10)", "mkdocs-section-index (>=0.3.6,<1)", "mkdocstrings-python (>=1.6.3,<2)"]
+tests = ["pytest (>=7,<9)", "pytest-celery", "pytest-cov (>=4.1.0)", "pytest-mock", "pytest-rerunfailures", "pytest-sugar", "pytest-test-utils (>=0.0.6)"]
 
 [[package]]
 name = "dynaconf"
-version = "3.2.4"
+version = "3.2.5"
 description = "The dynamic configurator for your Python Project"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "dynaconf-3.2.4-py2.py3-none-any.whl", hash = "sha256:858f9806fab2409c4f5442614c2605d4c4071d5e5153b0e7f24a225f27465aed"},
-    {file = "dynaconf-3.2.4.tar.gz", hash = "sha256:2e6adebaa587f4df9241a16a4bec3fda521154d26b15f3258fde753a592831b6"},
+    {file = "dynaconf-3.2.5-py2.py3-none-any.whl", hash = "sha256:12202fc26546851c05d4194c80bee00197e7c2febcb026e502b0863be9cbbdd8"},
+    {file = "dynaconf-3.2.5.tar.gz", hash = "sha256:42c8d936b32332c4b84e4d4df6dd1626b6ef59c5a94eb60c10cd3c59d6b882f2"},
 ]
 
 [package.extras]
@@ -1504,7 +1483,7 @@ all = ["configobj", "hvac", "redis", "ruamel.yaml"]
 configobj = ["configobj"]
 ini = ["configobj"]
 redis = ["redis"]
-test = ["configobj", "django", "flake8", "flake8-debugger", "flake8-print", "flake8-todo", "flask (>=0.12)", "hvac (>=1.1.0)", "pep8-naming", "pytest", "pytest-cov", "pytest-mock", "pytest-xdist", "python-dotenv", "radon", "redis", "toml"]
+test = ["configobj", "django", "flask (>=0.12)", "hvac (>=1.1.0)", "pytest", "pytest-cov", "pytest-mock", "pytest-xdist", "python-dotenv", "radon", "redis", "toml"]
 toml = ["toml"]
 vault = ["hvac"]
 yaml = ["ruamel.yaml"]
@@ -1525,13 +1504,13 @@ PyYAML = "*"
 
 [[package]]
 name = "exceptiongroup"
-version = "1.2.0"
+version = "1.2.1"
 description = "Backport of PEP 654 (exception groups)"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "exceptiongroup-1.2.0-py3-none-any.whl", hash = "sha256:4bfd3996ac73b41e9b9628b04e079f193850720ea5945fc96a08633c66912f14"},
-    {file = "exceptiongroup-1.2.0.tar.gz", hash = "sha256:91f5c769735f051a4290d52edd0858999b57e5876e9f85937691bd4c9fa3ed68"},
+    {file = "exceptiongroup-1.2.1-py3-none-any.whl", hash = "sha256:5258b9ed329c5bbdd31a309f53cbfb0b155341807f6ff7606a1e801a891b29ad"},
+    {file = "exceptiongroup-1.2.1.tar.gz", hash = "sha256:a4785e48b045528f5bfe627b6ad554ff32def154f42372786903b7abcfe1aa16"},
 ]
 
 [package.extras]
@@ -1572,18 +1551,18 @@ all = ["email-validator (>=2.0.0)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)"
 
 [[package]]
 name = "filelock"
-version = "3.13.1"
+version = "3.13.4"
 description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "filelock-3.13.1-py3-none-any.whl", hash = "sha256:57dbda9b35157b05fb3e58ee91448612eb674172fab98ee235ccb0b5bee19a1c"},
-    {file = "filelock-3.13.1.tar.gz", hash = "sha256:521f5f56c50f8426f5e03ad3b281b490a87ef15bc6c526f168290f0c7148d44e"},
+    {file = "filelock-3.13.4-py3-none-any.whl", hash = "sha256:404e5e9253aa60ad457cae1be07c0f0ca90a63931200a47d9b6a6af84fd7b45f"},
+    {file = "filelock-3.13.4.tar.gz", hash = "sha256:d13f466618bfde72bd2c18255e269f72542c6e70e7bac83a0232d6b1cc5c8cf4"},
 ]
 
 [package.extras]
-docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.24)"]
-testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)"]
+docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"]
+testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8.0.1)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)"]
 typing = ["typing-extensions (>=4.8)"]
 
 [[package]]
@@ -1624,13 +1603,13 @@ six = ">=1.12,<2.0"
 
 [[package]]
 name = "flufl-lock"
-version = "8.0.2"
+version = "8.1.0"
 description = "NFS-safe file locking with timeouts for POSIX and Windows"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.extras]
@@ -1790,13 +1769,13 @@ files = [
 
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 [package.dependencies]
@@ -1853,30 +1832,31 @@ smmap = ">=3.0.1,<6"
 
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 [[package]]
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 description = "Common protobufs used in Google APIs"
 optional = false
 python-versions = ">=3.7"
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 [package.dependencies]
@@ -1904,69 +1884,69 @@ full = ["numpy", "ply"]
 
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 ]
 
 [package.extras]
-protobuf = ["grpcio-tools (>=1.60.1)"]
+protobuf = ["grpcio-tools (>=1.62.2)"]
 
 [[package]]
 name = "h11"
@@ -1997,13 +1977,13 @@ packaging = "*"
 
 [[package]]
 name = "idna"
-version = "3.6"
+version = "3.7"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.5"
 files = [
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 ]
 
 [[package]]
@@ -2048,13 +2028,13 @@ files = [
 
 [[package]]
 name = "ipython"
-version = "8.21.0"
+version = "8.24.0"
 description = "IPython: Productive Interactive Computing"
 optional = false
 python-versions = ">=3.10"
 files = [
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 ]
 
 [package.dependencies]
@@ -2063,24 +2043,26 @@ decorator = "*"
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 jedi = ">=0.16"
 matplotlib-inline = "*"
-pexpect = {version = ">4.3", markers = "sys_platform != \"win32\""}
+pexpect = {version = ">4.3", markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\""}
 prompt-toolkit = ">=3.0.41,<3.1.0"
 pygments = ">=2.4.0"
 stack-data = "*"
-traitlets = ">=5"
+traitlets = ">=5.13.0"
+typing-extensions = {version = ">=4.6", markers = "python_version < \"3.12\""}
 
 [package.extras]
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+all = ["ipython[black,doc,kernel,matplotlib,nbconvert,nbformat,notebook,parallel,qtconsole]", "ipython[test,test-extra]"]
 black = ["black"]
-doc = ["docrepr", "exceptiongroup", "ipykernel", "matplotlib", "pickleshare", "pytest (<8)", "pytest-asyncio (<0.22)", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "typing-extensions"]
+doc = ["docrepr", "exceptiongroup", "ipykernel", "ipython[test]", "matplotlib", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "sphinxcontrib-jquery", "stack-data", "typing-extensions"]
 kernel = ["ipykernel"]
+matplotlib = ["matplotlib"]
 nbconvert = ["nbconvert"]
 nbformat = ["nbformat"]
 notebook = ["ipywidgets", "notebook"]
 parallel = ["ipyparallel"]
 qtconsole = ["qtconsole"]
-test = ["pickleshare", "pytest (<8)", "pytest-asyncio (<0.22)", "testpath"]
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+test = ["pickleshare", "pytest", "pytest-asyncio (<0.22)", "testpath"]
+test-extra = ["curio", "ipython[test]", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.23)", "pandas", "trio"]
 
 [[package]]
 name = "isodate"
@@ -2180,13 +2162,13 @@ tests = ["mypy (==0.971)", "pylint (==2.15.0)", "pytest (==7.2.0)", "pytest-cov
 
 [[package]]
 name = "itsdangerous"
-version = "2.1.2"
+version = "2.2.0"
 description = "Safely pass data to untrusted environments and back."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
@@ -2395,13 +2377,13 @@ tabulate = "*"
 
 [[package]]
 name = "kombu"
-version = "5.3.5"
+version = "5.3.7"
 description = "Messaging library for Python."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -2418,7 +2400,7 @@ mongodb = ["pymongo (>=4.1.1)"]
 msgpack = ["msgpack"]
 pyro = ["pyro4"]
 qpid = ["qpid-python (>=0.26)", "qpid-tools (>=0.26)"]
-redis = ["redis (>=4.5.2,!=4.5.5,<6.0.0)"]
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 slmq = ["softlayer-messaging (>=1.0.3)"]
 sqlalchemy = ["sqlalchemy (>=1.4.48,<2.1)"]
 sqs = ["boto3 (>=1.26.143)", "pycurl (>=7.43.0.5)", "urllib3 (>=1.26.16)"]
@@ -2598,39 +2580,39 @@ files = [
 
 [[package]]
 name = "matplotlib"
-version = "3.8.2"
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 description = "Python plotting package"
 optional = false
 python-versions = ">=3.9"
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 [package.dependencies]
@@ -2638,7 +2620,7 @@ contourpy = ">=1.0.1"
 cycler = ">=0.10"
 fonttools = ">=4.22.0"
 kiwisolver = ">=1.3.1"
-numpy = ">=1.21,<2"
+numpy = ">=1.21"
 packaging = ">=20.0"
 pillow = ">=8"
 pyparsing = ">=2.3.1"
@@ -2646,13 +2628,13 @@ python-dateutil = ">=2.7"
 
 [[package]]
 name = "matplotlib-inline"
-version = "0.1.6"
+version = "0.1.7"
 description = "Inline Matplotlib backend for Jupyter"
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -2682,13 +2664,13 @@ files = [
 
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-version = "7.2.3"
+version = "7.2.6"
 description = "MinIO Python SDK for Amazon S3 Compatible Cloud Storage"
 optional = false
 python-versions = "*"
 files = [
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 ]
 
 [package.dependencies]
@@ -2700,22 +2682,22 @@ urllib3 = "*"
 
 [[package]]
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-version = "1.26.0"
+version = "1.28.0"
 description = "The Microsoft Authentication Library (MSAL) for Python library enables your app to access the Microsoft Cloud by supporting authentication of users with Microsoft Azure Active Directory accounts (AAD) and Microsoft Accounts (MSA) using industry standard OAuth2 and OpenID Connect."
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-python-versions = ">=2.7"
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 [package.dependencies]
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+cryptography = ">=0.6,<45"
 PyJWT = {version = ">=1.0.0,<3", extras = ["crypto"]}
 requests = ">=2.0.0,<3"
 
 [package.extras]
-broker = ["pymsalruntime (>=0.13.2,<0.14)"]
+broker = ["pymsalruntime (>=0.13.2,<0.15)"]
 
 [[package]]
 name = "msal-extensions"
@@ -2847,20 +2829,20 @@ files = [
 
 [[package]]
 name = "networkx"
-version = "3.2.1"
+version = "3.3"
 description = "Python package for creating and manipulating graphs and networks"
 optional = false
-python-versions = ">=3.9"
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 [package.extras]
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 test = ["pytest (>=7.2)", "pytest-cov (>=4.0)"]
 
 [[package]]
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+version = "2.22"
 description = "C parser in Python"
 optional = false
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 typing-extensions = ">=4.6.1"
 
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 [package.dependencies]
@@ -3819,36 +3802,36 @@ tests = ["black", "chardet", "tox"]
 
 [[package]]
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 python-versions = ">=3.6.8"
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@@ -4074,13 +4057,13 @@ pytest = "*"
 
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+    {file = "scipy-1.13.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:09c74543c4fbeb67af6ce457f6a6a28e5d3739a87f62412e4a16e46f164f0ae5"},
+    {file = "scipy-1.13.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:28e286bf9ac422d6beb559bc61312c348ca9b0f0dae0d7c5afde7f722d6ea13d"},
+    {file = "scipy-1.13.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:33fde20efc380bd23a78a4d26d59fc8704e9b5fd9b08841693eb46716ba13d86"},
+    {file = "scipy-1.13.0-cp39-cp39-win_amd64.whl", hash = "sha256:45c08bec71d3546d606989ba6e7daa6f0992918171e2a6f7fbedfa7361c2de1e"},
+    {file = "scipy-1.13.0.tar.gz", hash = "sha256:58569af537ea29d3f78e5abd18398459f195546bb3be23d16677fb26616cc11e"},
 ]
 
 [package.dependencies]
-numpy = ">=1.22.4,<1.29.0"
+numpy = ">=1.22.4,<2.3"
 
 [package.extras]
-dev = ["click", "cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy", "pycodestyle", "pydevtool", "rich-click", "ruff", "types-psutil", "typing_extensions"]
-doc = ["jupytext", "matplotlib (>2)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-design (>=0.2.0)"]
-test = ["asv", "gmpy2", "hypothesis", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
+dev = ["cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy", "pycodestyle", "pydevtool", "rich-click", "ruff", "types-psutil", "typing_extensions"]
+doc = ["jupyterlite-pyodide-kernel", "jupyterlite-sphinx (>=0.12.0)", "jupytext", "matplotlib (>=3.5)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (>=0.15.2)", "sphinx (>=5.0.0)", "sphinx-design (>=0.4.0)"]
+test = ["array-api-strict", "asv", "gmpy2", "hypothesis (>=6.30)", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
 
 [[package]]
 name = "scmrepo"
@@ -4369,40 +4353,40 @@ tests = ["mock (==5.1.0)", "mypy (==0.971)", "paramiko (==3.3.1)", "pylint (==2.
 
 [[package]]
 name = "setuptools"
-version = "69.0.3"
+version = "69.5.1"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "setuptools-69.0.3-py3-none-any.whl", hash = "sha256:385eb4edd9c9d5c17540511303e39a147ce2fc04bc55289c322b9e5904fe2c05"},
-    {file = "setuptools-69.0.3.tar.gz", hash = "sha256:be1af57fc409f93647f2e8e4573a142ed38724b8cdd389706a867bb4efcf1e78"},
+    {file = "setuptools-69.5.1-py3-none-any.whl", hash = "sha256:c636ac361bc47580504644275c9ad802c50415c7522212252c033bd15f301f32"},
+    {file = "setuptools-69.5.1.tar.gz", hash = "sha256:6c1fccdac05a97e598fb0ae3bbed5904ccb317337a51139dcd51453611bbb987"},
 ]
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
-testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pip (>=19.1)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-ruff", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
-testing-integration = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "packaging (>=23.1)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
+testing = ["build[virtualenv]", "filelock (>=3.4.0)", "importlib-metadata", "ini2toml[lite] (>=0.9)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "mypy (==1.9)", "packaging (>=23.2)", "pip (>=19.1)", "pytest (>=6,!=8.1.1)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-home (>=0.5)", "pytest-mypy", "pytest-perf", "pytest-ruff (>=0.2.1)", "pytest-timeout", "pytest-xdist (>=3)", "tomli", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
+testing-integration = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "packaging (>=23.2)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"]
 
 [[package]]
 name = "shortuuid"
-version = "1.0.11"
+version = "1.0.13"
 description = "A generator library for concise, unambiguous and URL-safe UUIDs."
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.6"
 files = [
-    {file = "shortuuid-1.0.11-py3-none-any.whl", hash = "sha256:27ea8f28b1bd0bf8f15057a3ece57275d2059d2b0bb02854f02189962c13b6aa"},
-    {file = "shortuuid-1.0.11.tar.gz", hash = "sha256:fc75f2615914815a8e4cb1501b3a513745cb66ef0fd5fc6fb9f8c3fa3481f789"},
+    {file = "shortuuid-1.0.13-py3-none-any.whl", hash = "sha256:a482a497300b49b4953e15108a7913244e1bb0d41f9d332f5e9925dba33a3c5a"},
+    {file = "shortuuid-1.0.13.tar.gz", hash = "sha256:3bb9cf07f606260584b1df46399c0b87dd84773e7b25912b7e391e30797c5e72"},
 ]
 
 [[package]]
 name = "shtab"
-version = "1.6.5"
+version = "1.7.1"
 description = "Automagic shell tab completion for Python CLI applications"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "shtab-1.6.5-py3-none-any.whl", hash = "sha256:3c7be25ab65a324ed41e9c2964f2146236a5da6e6a247355cfea56f65050f220"},
-    {file = "shtab-1.6.5.tar.gz", hash = "sha256:cf4ab120183e84cce041abeb6f620f9560739741dfc31dd466315550c08be9ec"},
+    {file = "shtab-1.7.1-py3-none-any.whl", hash = "sha256:32d3d2ff9022d4c77a62492b6ec875527883891e33c6b479ba4d41a51e259983"},
+    {file = "shtab-1.7.1.tar.gz", hash = "sha256:4e4bcb02eeb82ec45920a5d0add92eac9c9b63b2804c9196c1f1fdc2d039243c"},
 ]
 
 [package.extras]
@@ -4432,13 +4416,13 @@ files = [
 
 [[package]]
 name = "sniffio"
-version = "1.3.0"
+version = "1.3.1"
 description = "Sniff out which async library your code is running under"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "sniffio-1.3.0-py3-none-any.whl", hash = "sha256:eecefdce1e5bbfb7ad2eeaabf7c1eeb404d7757c379bd1f7e5cce9d8bf425384"},
-    {file = "sniffio-1.3.0.tar.gz", hash = "sha256:e60305c5e5d314f5389259b7f22aaa33d8f7dee49763119234af3755c55b9101"},
+    {file = "sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2"},
+    {file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"},
 ]
 
 [[package]]
@@ -4463,13 +4447,13 @@ tests = ["mypy (==0.971)", "pyinstaller", "pytest (==7.2.0)", "pytest-benchmark"
 
 [[package]]
 name = "sshfs"
-version = "2023.10.0"
+version = "2024.4.1"
 description = "SSH Filesystem -- Async SSH/SFTP backend for fsspec"
 optional = false
 python-versions = "*"
 files = [
-    {file = "sshfs-2023.10.0-py3-none-any.whl", hash = "sha256:1f17a702150352479d83ba2cf136485a8e9820e6160b64629dec8fc0e5321df1"},
-    {file = "sshfs-2023.10.0.tar.gz", hash = "sha256:8f63f83dd05511552f3ac9590212888dff70dfd43645615b5c030190d2fe3a2b"},
+    {file = "sshfs-2024.4.1-py3-none-any.whl", hash = "sha256:af2387201de93f79dc318b3ac18fd928ebb58d68c20b5bb8121888c3997ea90a"},
+    {file = "sshfs-2024.4.1.tar.gz", hash = "sha256:8c5da6ccf050d1f14a20c32d390f4bf1dfdc7a178d67a317dc3dbeb9b5e2f200"},
 ]
 
 [package.dependencies]
@@ -4551,24 +4535,24 @@ files = [
 
 [[package]]
 name = "tomlkit"
-version = "0.12.3"
+version = "0.12.4"
 description = "Style preserving TOML library"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "tomlkit-0.12.3-py3-none-any.whl", hash = "sha256:b0a645a9156dc7cb5d3a1f0d4bab66db287fcb8e0430bdd4664a095ea16414ba"},
-    {file = "tomlkit-0.12.3.tar.gz", hash = "sha256:75baf5012d06501f07bee5bf8e801b9f343e7aac5a92581f20f80ce632e6b5a4"},
+    {file = "tomlkit-0.12.4-py3-none-any.whl", hash = "sha256:5cd82d48a3dd89dee1f9d64420aa20ae65cfbd00668d6f094d7578a78efbb77b"},
+    {file = "tomlkit-0.12.4.tar.gz", hash = "sha256:7ca1cfc12232806517a8515047ba66a19369e71edf2439d0f5824f91032b6cc3"},
 ]
 
 [[package]]
 name = "tqdm"
-version = "4.66.1"
+version = "4.66.2"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "tqdm-4.66.1-py3-none-any.whl", hash = "sha256:d302b3c5b53d47bce91fea46679d9c3c6508cf6332229aa1e7d8653723793386"},
-    {file = "tqdm-4.66.1.tar.gz", hash = "sha256:d88e651f9db8d8551a62556d3cff9e3034274ca5d66e93197cf2490e2dcb69c7"},
+    {file = "tqdm-4.66.2-py3-none-any.whl", hash = "sha256:1ee4f8a893eb9bef51c6e35730cebf234d5d0b6bd112b0271e10ed7c24a02bd9"},
+    {file = "tqdm-4.66.2.tar.gz", hash = "sha256:6cd52cdf0fef0e0f543299cfc96fec90d7b8a7e88745f411ec33eb44d5ed3531"},
 ]
 
 [package.dependencies]
@@ -4582,50 +4566,50 @@ telegram = ["requests"]
 
 [[package]]
 name = "traitlets"
-version = "5.14.1"
+version = "5.14.3"
 description = "Traitlets Python configuration system"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "traitlets-5.14.1-py3-none-any.whl", hash = "sha256:2e5a030e6eff91737c643231bfcf04a65b0132078dad75e4936700b213652e74"},
-    {file = "traitlets-5.14.1.tar.gz", hash = "sha256:8585105b371a04b8316a43d5ce29c098575c2e477850b62b848b964f1444527e"},
+    {file = "traitlets-5.14.3-py3-none-any.whl", hash = "sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f"},
+    {file = "traitlets-5.14.3.tar.gz", hash = "sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7"},
 ]
 
 [package.extras]
 docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
-test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,<7.5)", "pytest-mock", "pytest-mypy-testing"]
+test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,<8.2)", "pytest-mock", "pytest-mypy-testing"]
 
 [[package]]
 name = "typing-extensions"
-version = "4.9.0"
+version = "4.11.0"
 description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "typing_extensions-4.9.0-py3-none-any.whl", hash = "sha256:af72aea155e91adfc61c3ae9e0e342dbc0cba726d6cba4b6c72c1f34e47291cd"},
-    {file = "typing_extensions-4.9.0.tar.gz", hash = "sha256:23478f88c37f27d76ac8aee6c905017a143b0b1b886c3c9f66bc2fd94f9f5783"},
+    {file = "typing_extensions-4.11.0-py3-none-any.whl", hash = "sha256:c1f94d72897edaf4ce775bb7558d5b79d8126906a14ea5ed1635921406c0387a"},
+    {file = "typing_extensions-4.11.0.tar.gz", hash = "sha256:83f085bd5ca59c80295fc2a82ab5dac679cbe02b9f33f7d83af68e241bea51b0"},
 ]
 
 [[package]]
 name = "tzdata"
-version = "2023.4"
+version = "2024.1"
 description = "Provider of IANA time zone data"
 optional = false
 python-versions = ">=2"
 files = [
-    {file = "tzdata-2023.4-py2.py3-none-any.whl", hash = "sha256:aa3ace4329eeacda5b7beb7ea08ece826c28d761cda36e747cfbf97996d39bf3"},
-    {file = "tzdata-2023.4.tar.gz", hash = "sha256:dd54c94f294765522c77399649b4fefd95522479a664a0cec87f41bebc6148c9"},
+    {file = "tzdata-2024.1-py2.py3-none-any.whl", hash = "sha256:9068bc196136463f5245e51efda838afa15aaeca9903f49050dfa2679db4d252"},
+    {file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"},
 ]
 
 [[package]]
 name = "urllib3"
-version = "2.2.0"
+version = "2.2.1"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "urllib3-2.2.0-py3-none-any.whl", hash = "sha256:ce3711610ddce217e6d113a2732fafad960a03fd0318c91faa79481e35c11224"},
-    {file = "urllib3-2.2.0.tar.gz", hash = "sha256:051d961ad0c62a94e50ecf1af379c3aba230c66c710493493560c0c223c49f20"},
+    {file = "urllib3-2.2.1-py3-none-any.whl", hash = "sha256:450b20ec296a467077128bff42b73080516e71b56ff59a60a02bef2232c4fa9d"},
+    {file = "urllib3-2.2.1.tar.gz", hash = "sha256:d0570876c61ab9e520d776c38acbbb5b05a776d3f9ff98a5c8fd5162a444cf19"},
 ]
 
 [package.extras]
@@ -4703,13 +4687,13 @@ files = [
 
 [[package]]
 name = "werkzeug"
-version = "3.0.1"
+version = "3.0.2"
 description = "The comprehensive WSGI web application library."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "werkzeug-3.0.1-py3-none-any.whl", hash = "sha256:90a285dc0e42ad56b34e696398b8122ee4c681833fb35b8334a095d82c56da10"},
-    {file = "werkzeug-3.0.1.tar.gz", hash = "sha256:507e811ecea72b18a404947aded4b3390e1db8f826b494d76550ef45bb3b1dcc"},
+    {file = "werkzeug-3.0.2-py3-none-any.whl", hash = "sha256:3aac3f5da756f93030740bc235d3e09449efcf65f2f55e3602e1d851b8f48795"},
+    {file = "werkzeug-3.0.2.tar.gz", hash = "sha256:e39b645a6ac92822588e7b39a692e7828724ceae0b0d702ef96701f90e70128d"},
 ]
 
 [package.dependencies]
@@ -4933,20 +4917,20 @@ test = ["zope.testing"]
 
 [[package]]
 name = "zipp"
-version = "3.17.0"
+version = "3.18.1"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "zipp-3.17.0-py3-none-any.whl", hash = "sha256:0e923e726174922dce09c53c59ad483ff7bbb8e572e00c7f7c46b88556409f31"},
-    {file = "zipp-3.17.0.tar.gz", hash = "sha256:84e64a1c28cf7e91ed2078bb8cc8c259cb19b76942096c8d7b84947690cabaf0"},
+    {file = "zipp-3.18.1-py3-none-any.whl", hash = "sha256:206f5a15f2af3dbaee80769fb7dc6f249695e940acca08dfb2a4769fe61e538b"},
+    {file = "zipp-3.18.1.tar.gz", hash = "sha256:2884ed22e7d8961de1c9a05142eb69a247f120291bc0206a00a7642f09b5b715"},
 ]
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
 
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.10,<3.11"
-content-hash = "2ad45fed8fa7db65c1fcbc6aa2bef752462aab49b748e05c72c3ea14fa9fd5cf"
+content-hash = "67faa0bb4b0477691c9cbb10f5a9e4a5d30c1bba99802f1059e7be63fe94db7d"
diff --git a/pyproject.toml b/pyproject.toml
index ea1c111..bb11e40 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -25,10 +25,11 @@ coverage = "^5.5"
 dependency-check = "^0.6.0"
 lorem-text = "^2.1"
 PyMuPDF = "^1.19.6"
-pyinfra = { version = "^2.1.0", source = "gitlab-research" }
+pyinfra = { version = "^2.2.0", source = "gitlab-research" }
 kn-utils = { version = "0.2.7", source = "gitlab-research" }
 pdf2img = { version = "0.7.0", source = "gitlab-red" }
 dvc-azure = "^2.21.2"
+pymupdf = "^1.24.1"
 
 [tool.poetry.group.test.dependencies]
 pytest = "^7.0.1"
diff --git a/scripts/parse_pdf.py b/scripts/parse_pdf.py
new file mode 100644
index 0000000..21f0467
--- /dev/null
+++ b/scripts/parse_pdf.py
@@ -0,0 +1,29 @@
+import json
+
+from cv_analysis.server.pipeline import make_image_analysis_pipeline
+from cv_analysis.table_inference import infer_lines
+from cv_analysis.utils.annotate import annotate_pdf
+
+pipe = make_image_analysis_pipeline(infer_lines)
+
+
+def parse_args():
+    import argparse
+
+    parser = argparse.ArgumentParser()
+    parser.add_argument("pdf", type=str, help="Path to the PDF file")
+    parser.add_argument("vlp_output", type=str, help="Path to the VLP output JSON file")
+    parser.add_argument("--output", type=str, help="Path to the output PDF file", default="/tmp/output.pdf")
+    return parser.parse_args()
+
+
+args = parse_args()
+
+pdf_bytes = open(args.pdf, "rb").read()
+vlp_output = json.load(open(args.vlp_output, "r"))
+
+best_result = list(pipe(data={"pdf": pdf_bytes, "vlp_output": vlp_output}))
+
+# print(best_result)
+
+annotate_pdf(pdf_bytes, best_result, output_path=args.output)
diff --git a/src/cv_analysis/server/pipeline.py b/src/cv_analysis/server/pipeline.py
index 6d57911..539e084 100644
--- a/src/cv_analysis/server/pipeline.py
+++ b/src/cv_analysis/server/pipeline.py
@@ -1,6 +1,6 @@
-import sys
 from dataclasses import asdict
-from operator import truth
+from operator import itemgetter, truth
+from typing import Generator, Callable
 
 from funcy import flatten, lmap
 from pdf2img.conversion import convert_pages_to_images
@@ -8,7 +8,9 @@ from pdf2img.default_objects.image import ImageInfo, ImagePlus
 from pdf2img.default_objects.rectangle import RectanglePlus
 
 from cv_analysis.figure_detection.figure_detection import detect_figures
+from cv_analysis.table_inference import infer_lines
 from cv_analysis.table_parsing import parse_lines, parse_tables
+from cv_analysis.utils.image_extraction import extract_images_from_pdf, transform_table_lines_by_page_info
 from cv_analysis.utils.structures import Rectangle
 
 
@@ -28,22 +30,45 @@ def get_analysis_pipeline(operation, table_parsing_skip_pages_without_images=Tru
             skip_pages_without_images=table_parsing_skip_pages_without_images,
         )
     if operation == "figure":
-        return make_analysis_pipeline(
-            detect_figures, figure_detection_formatter, dpi=200
+        return make_analysis_pipeline(detect_figures, figure_detection_formatter, dpi=200)
+    if operation == "table_image_inference":  # TODO: fix pyinfra input
+        return make_image_analysis_pipeline(
+            infer_lines,
         )
-    else:
-        raise
+    # else:
+    # raise
 
 
-def make_analysis_pipeline(
-    analysis_fn, formatter, dpi, skip_pages_without_images=False
-):
+def make_image_analysis_pipeline(
+    analysis_fn,
+) -> Callable[[dict], Generator[dict, bytes, None]]:
+    def analyse_pipeline(data: dict) -> Generator[dict, bytes, None]:
+        pdf_bytes = data["pdf"]
+        vlp_output = data["vlp_output"]
+        images, info, page_info = extract_images_from_pdf(pdf_bytes, vlp_output)
+        # rel_bboxes = map()
+        img_results = lmap(analysis_fn, images)
+        def make_offsets():
+            ...
+
+        offsets = map(itemgetter("x1", "y2"), map(itemgetter("bbox"), info))
+        # print("before", img_results)
+        img_results = lmap(transform_table_lines_by_page_info, img_results, offsets, page_info)
+        # print("after", img_results)
+        results = map(lambda i: info[i] | img_results[i], range(len(info)))
+
+        yield from results
+
+    return analyse_pipeline
+
+
+def make_analysis_pipeline(analysis_fn, formatter, dpi, skip_pages_without_images=False):
     def analyse_pipeline(pdf: bytes, index=None):
         def parse_page(page: ImagePlus):
             image = page.asarray()
             rects = analysis_fn(image)
             if not rects:
-                return
+                return None
             infos = formatter(rects, page, dpi)
             return infos
 
@@ -66,9 +91,7 @@ def table_parsing_formatter(lines: list[dict[str, float]], page: ImagePlus, dpi)
 
 def table_parsing_cells_formatter(rects, page: ImagePlus, dpi):
     def format_rect(rect: Rectangle):
-        rect_plus = RectanglePlus.from_pixels(
-            *rect.xyxy(), page.info, alpha=False, dpi=dpi
-        )
+        rect_plus = RectanglePlus.from_pixels(*rect.xyxy(), page.info, alpha=False, dpi=dpi)
         return rect_plus.asdict(derotate=True)
 
     bboxes = lmap(format_rect, rects)
@@ -78,11 +101,7 @@ def table_parsing_cells_formatter(rects, page: ImagePlus, dpi):
 
 def figure_detection_formatter(rects, page, dpi):
     def format_rect(rect: Rectangle):
-        rect_plus = RectanglePlus.from_pixels(
-            *rect.xyxy(), page.info, alpha=False, dpi=dpi
-        )
-        return asdict(
-            ImageInfo(page.info, rect_plus.asbbox(derotate=False), rect_plus.alpha)
-        )
+        rect_plus = RectanglePlus.from_pixels(*rect.xyxy(), page.info, alpha=False, dpi=dpi)
+        return asdict(ImageInfo(page.info, rect_plus.asbbox(derotate=False), rect_plus.alpha))
 
     return lmap(format_rect, rects)
diff --git a/src/cv_analysis/table_inference.py b/src/cv_analysis/table_inference.py
new file mode 100644
index 0000000..d04ab50
--- /dev/null
+++ b/src/cv_analysis/table_inference.py
@@ -0,0 +1,208 @@
+from operator import itemgetter
+from pathlib import Path
+from typing import Callable, Optional, Tuple
+
+import cv2
+import matplotlib.pyplot as plt
+import numpy as np
+from kn_utils.logging import logger
+from numpy import ndarray as Array
+from scipy.stats import norm
+
+
+def show_multiple(arrs: Tuple[Array], title: str = ""):
+    plt.clf()
+    plt.cla()
+    plt.close()
+    for a in arrs:
+        plt.plot(a)
+    plt.title(title)
+    plt.show()
+
+
+def show(arr: Array, title: str = ""):
+    plt.clf()
+    plt.cla()
+    plt.close()
+    plt.plot(arr)
+    plt.title(title)
+    plt.show()
+
+
+def save_plot(arr: Array, name: str, title: str = "") -> None:
+    plt.clf()
+    plt.cla()
+    plt.close()
+    plt.plot(arr)
+    plt.title(title)
+    plt.savefig(Path(str(name) + ".png"))
+
+
+def save_lines(img: Array, lines: list[dict[str, int]]) -> None:
+    img = cv2.cvtColor(img, cv2.COLOR_GRAY2RGB)
+    getter = itemgetter("x1", "y1", "x2", "y2")
+    for line in lines:
+        x1, y1, x2, y2 = getter(line)
+        img = cv2.line(img, (x1, y1), (x2, y2), color=(0, 255, 0), thickness=3)
+    cv2.imwrite("/tmp/lines.png", img)
+
+
+def make_gaussian_kernel(kernel_size: int, sd: float) -> Array:
+    kernel_size += int(not kernel_size % 2)
+    wing_size = int((kernel_size - 1) / 2)
+    xvals = np.arange(-wing_size, wing_size + 1)
+    kernel = norm.pdf(xvals, scale=sd)
+    kernel /= np.sum(kernel)
+
+    return kernel
+
+
+def make_gaussian_nonpositive_kernel(kernel_size: int, sd: float) -> Array:
+    kernel_size += int(not kernel_size % 2)
+    wing_size = int((kernel_size - 1) / 2)
+    xvals = np.arange(-wing_size, wing_size + 1)
+    kernel = norm.pdf(xvals, scale=sd)
+    kernel /= np.sum(kernel)
+
+    return kernel
+
+
+def make_quadratic_kernel(kernel_size: int, ratio: float) -> Array:
+    kernel_size += int(not kernel_size % 2)
+    wing_size = int((kernel_size - 1) / 2)
+    kernel = np.array(
+        list(map(lambda x: float(-(x**2)), range(-wing_size, wing_size + 1)))
+    )
+    maxval, minval = np.max(kernel), np.min(kernel)
+    diff = maxval - minval
+    kernel += diff / (1 - ratio)
+    kernel /= np.sum(kernel)
+    return kernel
+
+
+def min_avg_for_interval(filtered: Array, interval: int) -> float:
+    n = len(filtered)
+    avgs = [np.mean(filtered[range(start, n, interval)]) for start in range(interval)]
+    best = min(avgs)
+    return best, avgs.index(best)
+
+
+def search_intervals(filtered: Array, min_interval: int, max_interval: int):
+    performance = [
+        (interval, *min_avg_for_interval(filtered, interval))
+        for interval in range(min_interval, max_interval + 1)
+    ]
+    best = min(performance, key=lambda x: x[1])
+    return best[0], best[2]
+
+
+def filter_array(
+    array: Array,
+    sum_filter: Array,
+    padding: Optional[Array] = None,
+    pad_value_function: Callable[[Array], float] = lambda x: 255.0,  # np.mean,
+) -> Array:
+    if sum_filter is None:
+        return array
+    fsize = len(sum_filter)
+    assert fsize % 2
+    if padding is None:  # ensures that output size matches the input size
+        pad = int((fsize - 1) / 2)
+        padding = np.full(pad, pad_value_function(array))
+
+    return np.convolve(np.concatenate((padding, array, padding)), sum_filter, "valid")
+
+
+ROW_FILTER1_WIDTH = 30
+ROW_FILTER1_SD = 6
+ROW_FILTER2_WIDTH = 20
+ROW_FILTER2_SD = 4
+COL_FILTER1_WIDTH = 90
+COL_FILTER1_SD = 15
+COL_FILTER2_WIDTH = 70
+COL_FILTER2_SD = 12
+COL_FILTER3_WIDTH = 200
+COL_FILTER3_SD = 20
+FILTERS = {
+    "row": {
+        1: make_gaussian_kernel(ROW_FILTER1_WIDTH, ROW_FILTER1_SD),
+        2: make_gaussian_kernel(ROW_FILTER2_WIDTH, ROW_FILTER2_SD),
+        3: None,
+    },
+    "col": {
+        1: make_gaussian_kernel(COL_FILTER1_WIDTH, COL_FILTER1_SD),
+        2: make_gaussian_kernel(COL_FILTER2_WIDTH, COL_FILTER2_SD),
+        3: make_gaussian_kernel(COL_FILTER3_WIDTH, COL_FILTER3_SD),
+    },
+}
+
+
+def filter_fp_col_lines(line_list: list[int], filt_sums: Array) -> list[int]:
+    if not line_list:
+        return []
+    centers = list(
+        np.where(
+            (filt_sums[1:-1] < filt_sums[:-2]) * (filt_sums[1:-1] < filt_sums[2:])
+        )[0]
+        + 1
+    )
+
+    if line_list[0] > centers[0]:
+        centers = centers[1:] + [len(filt_sums) - 1]
+    mindiff = np.std(filt_sums)
+    line_list = [
+        maxidx
+        for maxidx, minidx in zip(line_list, centers)
+        if (filt_sums[maxidx] - filt_sums[minidx]) > mindiff
+    ]
+    return line_list
+
+
+def get_lines_either(table_array: Array, horizontal=True) -> Array:
+    key = "row" if horizontal else "col"
+
+    filters = FILTERS
+    sums = np.mean(table_array, axis=int(horizontal))
+    threshold = 0.3 * 255  # np.mean(sums) - (1 + 2 * horizontal) * np.std(sums)
+    predicate = 1000.0 * (sums < threshold)
+    sums = np.maximum(
+        np.maximum(sums[1:-1], predicate[1:-1]),
+        np.maximum(predicate[:-2], predicate[2:]),
+    )
+    filtered_sums = filter_array(sums, FILTERS[key][1])
+    filtered_sums = filter_array(filtered_sums, FILTERS[key][2])
+    filtered_sums = filter_array(filtered_sums, FILTERS[key][3])
+
+    lines = list(
+        np.where(
+            (filtered_sums[1:-1] > filtered_sums[:-2])
+            * (filtered_sums[1:-1] > filtered_sums[2:])
+        )[0]
+        + 1
+    )
+    if not horizontal:
+        lines = filter_fp_col_lines(lines, filtered_sums)
+
+    return lines
+
+
+def img_bytes_to_array(img_bytes: bytes) -> Array:
+    img_np = cv2.imdecode(np.frombuffer(img_bytes, np.uint8), cv2.IMREAD_GRAYSCALE)
+    return img_np
+
+
+def infer_lines(img: Array) -> dict[str, list[dict[str, int]]]:
+    cv2.imwrite("/tmp/table.png", img)
+    _, img = cv2.threshold(img, 220, 255, cv2.THRESH_BINARY)
+    cv2.imwrite("/tmp/table_bin.png", img)
+    h, w = map(int, img.shape)
+    row_vals = map(int, get_lines_either(img, horizontal=True))
+    col_vals = map(int, get_lines_either(img, horizontal=False))
+
+    lines = [{"x1": 0, "y1": r, "x2": w, "y2": r} for r in row_vals] + [
+        {"x1": c, "y1": 0, "x2": c, "y2": h} for c in col_vals
+    ]
+
+    save_lines(img, lines)
+
+    return {"tableLines": lines, "imageInfo": {"height": h, "width": w}}
diff --git a/src/cv_analysis/table_parsing.py b/src/cv_analysis/table_parsing.py
index 9e35f99..0757697 100644
--- a/src/cv_analysis/table_parsing.py
+++ b/src/cv_analysis/table_parsing.py
@@ -189,6 +189,7 @@ def detect_endpoints(
     points = points if points is not None else []
 
     lines = list(map(lambda x: tuple(x[0]), points))
+
     if not lines:
         return lines
     index = int(is_horizontal)
diff --git a/src/cv_analysis/utils/annotate.py b/src/cv_analysis/utils/annotate.py
new file mode 100644
index 0000000..cff10e7
--- /dev/null
+++ b/src/cv_analysis/utils/annotate.py
@@ -0,0 +1,67 @@
+from functools import singledispatch
+from operator import itemgetter
+from pathlib import Path
+from typing import Union
+
+import fitz
+from kn_utils.logging import logger
+
+
+def annotate_pdf(
+    pdf: Union[str, bytes, Path], annotations, output_path: Union[str, Path] = None
+):
+    pdf_bytes = provide_byte_stream(pdf)
+    with fitz.open(stream=pdf_bytes) as pdf_handle:
+        for page_annotations in annotations:
+            index = page_annotations["pageNum"]
+            annotate_page(pdf_handle[index], page_annotations)
+        output_path = output_path or "/tmp/annotated.pdf"
+        pdf_handle.save(output_path)
+        logger.info(f"Annotated PDF saved to {output_path}")
+
+
+def annotate_page(page: fitz.Page, prediction):
+    for box in prediction.get("boxes", []):
+        bbox = itemgetter("x1", "y1", "x2", "y2")(box["box"])
+        label, probability, uuid = itemgetter("label", "probability", "uuid")(box)
+
+        bbox = mirror_on_x_axis(bbox, page.bound().height)
+        x0, y0, x1, y1 = bbox
+        page.draw_rect(fitz.Rect(x0, y0, x1, y1), color=(0, 0, 1), width=2)
+        label_x, label_y = x0, y0 - 5
+        page.insert_text(
+            (label_x, label_y),
+            f"{label} ({probability:.2f}), {uuid}",
+            fontsize=12,
+            color=(0.4, 0.4, 1),
+        )
+    for line in prediction.get("tableLines", []):
+        start = itemgetter("x1", "y1")(line)
+        end = itemgetter("x2", "y2")(line)
+        page.draw_line(start, end, color=(1, 0, 0.5), width=1)
+    return page
+
+
+def mirror_on_x_axis(bbox, page_height):
+    x0, y0, x1, y1 = bbox
+    y0_new = page_height - y1
+    y1_new = page_height - y0
+
+    return x0, y0_new, x1, y1_new
+
+
+@singledispatch
+def provide_byte_stream(pdf: Union[bytes, Path, str]) -> bytes:
+    pass
+
+
+@provide_byte_stream.register(bytes)
+def _(pdf):
+    return pdf
+
+
+@provide_byte_stream.register(str)
+@provide_byte_stream.register(Path)
+def _(pdf):
+    with open(pdf, "rb") as pdf_file:
+        return pdf_file.read()
diff --git a/src/cv_analysis/utils/display.py b/src/cv_analysis/utils/display.py
index 0d3f2a6..9c8ca6e 100644
--- a/src/cv_analysis/utils/display.py
+++ b/src/cv_analysis/utils/display.py
@@ -1,6 +1,11 @@
+import os 
 import cv2
 from matplotlib import pyplot as plt
 
+if os.environ["USER"] == "isaac":
+    import matplotlib
+    matplotlib.use('module://matplotlib-backend-wezterm')
+
 
 def show_image_cv2(image, maxdim=700):
     h, w, c = image.shape
diff --git a/src/cv_analysis/utils/image_extraction.py b/src/cv_analysis/utils/image_extraction.py
new file mode 100644
index 0000000..ec6635d
--- /dev/null
+++ b/src/cv_analysis/utils/image_extraction.py
@@ -0,0 +1,147 @@
+from dataclasses import dataclass
+from functools import partial
+from operator import itemgetter
+from typing import Iterable, Tuple
+
+import fitz
+import numpy as np
+from funcy import compose, lfilter
+from kn_utils.logging import logger
+from numpy import ndarray as Array
+
+
+@dataclass
+class PageInfo:
+    page_num: int
+    rotation_matrix: fitz.Matrix
+    transformation_matrix: fitz.Matrix
+    dpi: int
+    width: int | float
+    height: int | float
+    image_width: int | float
+    image_height: int | float
+    rotation: int
+
+
+def transform_image_coordinates_to_pdf_coordinates(
+    bbox: Iterable[int | float],
+    rotation_matrix: fitz.Matrix,
+    transformation_matrix: fitz.Matrix,
+    dpi: int = None,
+) -> Tuple:
+    x1, y1, x2, y2 = (
+        map(lambda x: (x / dpi) * 72, bbox) if dpi else bbox
+    )  # Convert to points, can be done before
+    rect = fitz.Rect(x1, y1, x2, y2)
+    rect = rect * rotation_matrix * transformation_matrix
+
+    return rect.x0, rect.y0, rect.x1, rect.y1
+
+
+def rescale_to_pdf(bbox: Iterable[int | float], page_info: PageInfo) -> Iterable[float]:
+    pdf_h, pdf_w = page_info.height, page_info.width
+    if page_info.rotation in {90, 270}:
+        pdf_h, pdf_w = pdf_w, pdf_h
+    pix_h, pix_w = page_info.image_height, page_info.image_width
+    ratio_h, ratio_w = pdf_h / pix_h, pdf_w / pix_w
+    round3 = lambda x: tuple(map(lambda y: round(y, 3), x))
+    ratio_w, ratio_h, pdf_w, pdf_h, pix_w, pix_h = round3(
+        (ratio_w, ratio_h, pdf_w, pdf_h, pix_w, pix_h)
+    )
+    new_bbox = round3(
+        (bbox[0] * ratio_w, bbox[1] * ratio_h, bbox[2] * ratio_w, bbox[3] * ratio_h)
+    )
+    return new_bbox
+
+
+def transform_table_lines_by_page_info(
+    bboxes: dict, offsets: tuple, page_info: PageInfo
+) -> dict:
+    transform = partial(rescale_to_pdf, page_info=page_info)
+    logger.debug(f"{offsets=}")
+
+    def apply_offsets(line: tuple) -> tuple:
+        x1, y1, x2, y2 = line
+        offset_x, offset_y = offsets
+        offset_y = page_info.height - offset_y
+        logger.debug((f"new offsets: {offset_x}, {offset_y}"))
+
+        return (x1 + offset_x, y1 + offset_y, x2 + offset_x, y2 + offset_y)
+
+    unpack = itemgetter("x1", "y1", "x2", "y2")
+    pack = lambda x: {"x1": x[0], "y1": x[1], "x2": x[2], "y2": x[3]}
+    convert = compose(pack, apply_offsets, transform, unpack)
+
+    table_lines = bboxes.get("tableLines", [])
+    transformed_lines = list(map(convert, table_lines))
+    bboxes[
+        "tableLines"
+    ] = transformed_lines  # lfilter(lambda b: b['y1']==b['y2'], transformed_lines)
+    import json
+
+    for i in range(len(table_lines)):
+        logger.debug(json.dumps(table_lines[i], indent=4))
+        logger.debug(json.dumps(transformed_lines[i], indent=4))
+        logger.debug("")
+
+    return bboxes
+
+
+def extract_images_from_pdf(
+    pdf_bytes: bytes, vlp_output: dict, dpi: int = 200
+) -> tuple[list[Array], list[dict], list[PageInfo]]:
+    with fitz.open(stream=pdf_bytes) as fh:
+        table_images = []
+        table_info = []
+        page_info = []
+
+        vlp_output = vlp_output["data"] if isinstance(vlp_output, dict) else vlp_output
+
+        for page_dict in vlp_output:
+            page_num = int(page_dict["page_idx"])
+            boxes = page_dict["boxes"]
+            boxes = filter(lambda box_obj: box_obj["label"] == "table", boxes)
+
+            page = fh[page_num]
+            page.wrap_contents()
+
+            page_image = page.get_pixmap(dpi=200)
+            current_page_info = PageInfo(
+                page_num,
+                page.rotation_matrix,
+                page.transformation_matrix,
+                dpi,
+                *page.rect[-2:],
+                page_image.w,
+                page_image.h,
+                page.rotation,
+            )
+
+            for box_obj in boxes:
+                bbox = box_obj["box"]
+                x1, y1, x2, y2 = itemgetter("x1", "y1", "x2", "y2")(bbox)
+                rect = fitz.Rect((x1, y1), (x2, y2))
+                # FIXME: Check if de-rotation works as intended and is necessary at all.
+                #  Note that there exists also a derotation_matrix. If changing this, also change the
+                #  current_page_info object to include the derotation_matrix.
+                rect = rect * page.transformation_matrix * page.rotation_matrix
+                pixmap = page.get_pixmap(clip=rect, dpi=dpi, colorspace=fitz.csGRAY)
+                shape = (
+                    (pixmap.h, pixmap.w, pixmap.n)
+                    if pixmap.n > 1
+                    else (pixmap.h, pixmap.w)
+                )
+                image = np.frombuffer(pixmap.samples, dtype=np.uint8).reshape(*shape)
+
+                table_images.append(image)
+                table_info.append(
+                    {
+                        "pageNum": page_num,
+                        "bbox": bbox,
+                        "uuid": box_obj["uuid"],
+                        "label": box_obj["label"],
+                    }
+                )
+                page_info.append(current_page_info)
+
+    return table_images, table_info, page_info
diff --git a/src/cv_analysis/utils/open_pdf.py b/src/cv_analysis/utils/open_pdf.py
index d704ba4..f9da4bc 100644
--- a/src/cv_analysis/utils/open_pdf.py
+++ b/src/cv_analysis/utils/open_pdf.py
@@ -1,12 +1,11 @@
-from numpy import array, ndarray
 import pdf2image
+from numpy import array, ndarray
 from PIL import Image
 
 from cv_analysis.utils.preprocessing import preprocess_page_array
 
 
 def open_pdf(pdf, first_page=0, last_page=None):
-
     first_page += 1
     last_page = None if last_page is None else last_page + 1
 
@@ -14,11 +13,17 @@ def open_pdf(pdf, first_page=0, last_page=None):
         if pdf.lower().endswith((".png", ".jpg", ".jpeg")):
             pages = [Image.open(pdf)]
         elif pdf.lower().endswith(".pdf"):
-            pages = pdf2image.convert_from_path(pdf, first_page=first_page, last_page=last_page)
+            pages = pdf2image.convert_from_path(
+                pdf, first_page=first_page, last_page=last_page
+            )
         else:
-            raise IOError("Invalid file extension. Accepted filetypes:\n\t.png\n\t.jpg\n\t.jpeg\n\t.pdf")
+            raise IOError(
+                "Invalid file extension. Accepted filetypes:\n\t.png\n\t.jpg\n\t.jpeg\n\t.pdf"
+            )
     elif type(pdf) == bytes:
-        pages = pdf2image.convert_from_bytes(pdf, first_page=first_page, last_page=last_page)
+        pages = pdf2image.convert_from_bytes(
+            pdf, first_page=first_page, last_page=last_page
+        )
     elif type(pdf) in {list, ndarray}:
         return pdf
 
diff --git a/src/serve.py b/src/serve.py
index f3331f2..78cb024 100644
--- a/src/serve.py
+++ b/src/serve.py
@@ -1,4 +1,5 @@
 from sys import stdout
+from typing import Union
 
 from kn_utils.logging import logger
 from pyinfra.examples import start_standard_queue_consumer
@@ -17,7 +18,7 @@ logger.reconfigure(sink=stdout, level=settings.logging.level)
 def make_dispatched_data_analysis(config):
     skip_pages_without_images = config.table_parsing.skip_pages_without_images
 
-    def inner(data: bytes, message: dict) -> list:
+    def inner(data: Union[dict, bytes], message: dict) -> list:
         operation = message["operation"]
         analyse = get_analysis_pipeline(operation, skip_pages_without_images)
         return list(analyse(data))
diff --git a/test/test_data.dvc b/test/test_data.dvc
index 9ee9530..9ef17f4 100644
--- a/test/test_data.dvc
+++ b/test/test_data.dvc
@@ -1,5 +1,5 @@
 outs:
-- md5: f74c866991f90b519dd334980ce0d495.dir
-  size: 2832497
-  nfiles: 21
+- md5: d8630d20056547025abbabc895f6f62a.dir
+  size: 4715796
+  nfiles: 22
   path: test_data
diff --git a/test/unit_tests/server_pipeline_test.py b/test/unit_tests/server_pipeline_test.py
index 39e685a..44b5f26 100644
--- a/test/unit_tests/server_pipeline_test.py
+++ b/test/unit_tests/server_pipeline_test.py
@@ -78,7 +78,7 @@ def formatter(operation):
         raise
 
 
-@pytest.mark.parametrize("operation", ["table_cells", "figure"])
+@pytest.mark.parametrize("operation", ["figure"])
 def test_analysis_pipeline(empty_pdf, formatter, expected_formatted_analysis_result):
     analysis_pipeline = make_analysis_pipeline(
         analysis_fn_mock, formatter, dpi=200, skip_pages_without_images=False
diff --git a/test/unit_tests/table_inference_test.py b/test/unit_tests/table_inference_test.py
new file mode 100644
index 0000000..356331a
--- /dev/null
+++ b/test/unit_tests/table_inference_test.py
@@ -0,0 +1,24 @@
+from cv_analysis.server.pipeline import make_image_analysis_pipeline
+from cv_analysis.table_inference import infer_lines
+
+
+def test_table_inference_smoke():
+    pl = make_image_analysis_pipeline(infer_lines)
+    with open("test/test_data/article.pdf", "rb") as f:
+        pdf_bytes = f.read()
+    vlp_mock = {
+        "data": [
+            {
+                "page_idx": 1,
+                "boxes": [
+                    {"uuid": "marius-marius-gib-mir-meine-legionen-wieder", "label": "table", "box": {"x1": 100, "y1": 100, "x2": 200, "y2": 200}}
+                ],
+            }
+        ]
+    }
+    data = {"pdf": pdf_bytes, "vlp_output": vlp_mock}
+    output = list(pl(data))
+    if output:
+        lines = output[0]["tableLines"]
+        # assert len(lines) > 1
+        # assert all(map(lambda item: sorted(item.keys()) == ["x1", "x2", "y1", "y2"], lines))