diff --git a/scripts/parse_pdf.py b/scripts/parse_pdf.py
new file mode 100644
index 0000000..e6052ca
--- /dev/null
+++ b/scripts/parse_pdf.py
@@ -0,0 +1,15 @@
+import json
+
+from cv_analysis.server.pipeline import make_image_analysis_pipeline
+from cv_analysis.table_inference import infer_lines
+
+pipe = make_image_analysis_pipeline(infer_lines)
+
+# FIXME: Implement argparsing
+
+pdf_bytes = open("/home/junverfehrt/Documents/rosario_test_file.pdf", "rb").read()
+vlp_output = json.load(open("/home/junverfehrt/Documents/rosario_test_file_vlp.json", "r"))
+
+best_result = list(pipe(data={"pdf": pdf_bytes, "vlp_output": vlp_output}))
+
+print(best_result)
diff --git a/src/cv_analysis/utils/annotate.py b/src/cv_analysis/utils/annotate.py
new file mode 100644
index 0000000..5822186
--- /dev/null
+++ b/src/cv_analysis/utils/annotate.py
@@ -0,0 +1,58 @@
+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], predictions, output_path: Union[str, Path] = None):
+    pdf_bytes = provide_byte_stream(pdf)
+    with fitz.open(stream=pdf_bytes) as pdf_handle:
+        for prediction in predictions:
+            # FIXME: Adapt to line drawing
+            index = prediction["page_idx"]
+            annotate_page(pdf_handle[index], prediction)
+        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["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))
+
+    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()