agentskillexchange Build OCR and layout-analysis preprocessing pipelines with deepdoctection
Use deepdoctection when an agent workflow needs a local Python pipeline for document layout analysis, OCR, table recognition, and page-level extraction before LLM ingestion.
Prerequisites
Python environment; deepdoctection package; selected OCR/layout/model dependencies; local PDFs or scanned document images
Installation
Use the upstream install or setup path that matches your environment:
- uv pip install timm # needed for the default setup
- uv pip install transformers
- uv pip install python-doctr
- uv pip install deepdoctection
Requirements and caveats from upstream:
- deepdoctection is a Python library that orchestrates Scan and PDF document layout analysis, OCR and document
- python
- Python >= 3.10
Basic usage or getting-started notes:
and token classification. Build and run a pipeline for your document extraction tasks, develop your own document
The following example shows how to use the built-in analyzer to decompose a PDF document into its layout structures.
Extracted from upstream docs: https://raw.githubusercontent.com/deepdoctection/deepdoctection/HEAD/README.md