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# PDF Layout Extraction Companion
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A streamlined workflow for extracting figures, tables, annotated layouts, and markdown text from scientific PDFs using [DocLayout-YOLO](https://github.com/juliozhao/DocLayout-YOLO), PyMuPDF, and Flask. The project exposes a command-line pipeline (`main.py`) and a modern Flask web UI (`app.py`).
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---
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## Features
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- **Layout-aware extraction** of figures and tables with YOLO-based detection
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- **Cross-page stitching** for multi-page tables, captions, titles, and body text
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- **Annotated PDF output** with bounding boxes for detected regions
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- **Markdown export** powered by `pymupdf4llm` / `pymupdf-layout`
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- **Flask Web UI** with modern design, dark/light theme, GPU/CPU status, and individual PDF viewing
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- Unified `output/<PDF stem>/` directory structure for CLI + UI runs
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---
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Install dependencies:
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```bash
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uv pip install
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```
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> If you prefer a virtualenv, create/activate it first, then run `uv pip install` inside.
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---
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### Command Line Pipeline
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Process all PDFs in `./pdfs` and write outputs to `./output/<PDF stem>/`:
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```bash
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uv run python main.py
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```
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Each subdirectory contains:
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- `* _content_list.json` β metadata for extracted figures/tables
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- `*_layout.pdf` β annotated PDF with layout boxes
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- `*.md` β markdown export (if `pymupdf4llm` is installed)
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- `figures/` & `tables/` β cropped PNGs with stitched captions/titles
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### Flask Web App (Recommended)
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Launch the modern Flask web interface locally:
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```bash
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python run_flask_gpu.py
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```
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Then open your browser to `http://localhost:5000`
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**Features:**
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- Clean, modern UI with dark/light theme support
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- Multiple PDF upload and processing
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- Individual PDF output viewing with sidebar navigation
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- Real-time GPU/CPU status display
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- Image gallery for figures and tables
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- Markdown preview and download
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- Responsive design for mobile and desktop
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All Flask app runs also write into `./output/<PDF stem>/` using the same structure as the CLI.
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### Deploy to Modal.com (Cloud with GPU)
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Deploy your Flask app online with GPU support using Modal:
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```bash
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# Install Modal CLI
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pip install modal
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# Authenticate with Modal
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modal token new
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# Deploy to Modal
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modal deploy modal_app.py
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```
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See [MODAL_DEPLOYMENT.md](MODAL_DEPLOYMENT.md) for detailed instructions.
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**Benefits:**
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- GPU support (T4, A10G, or A100)
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- Pay-per-use pricing
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- Automatic HTTPS
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- Auto-scaling
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- Global deployment
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---
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## Configuration Highlights
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- **Detection model:** DocLayout-YOLO (`doclayout_yolo_docstructbench_imgsz1024.pt`)
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- **Detection thresholds:** configurable in `main.py`
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- **Layout stitching:** tables, captions, titles, body text
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- **Markdown extraction:** defaults to enabled (`pymupdf4llm.to_markdown`); falls back gracefully if the package is missing
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- **Output directory:** `./output` (configurable near the bottom of `main.py`)
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---
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## File Overview
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| Path | Description |
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|------|-------------|
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| `main.py` | CLI pipeline for batch PDF processing |
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| `app.py` | Flask web application (recommended UI) |
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| `run_flask_gpu.py` | Local Flask runner with GPU support |
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| `modal_app.py` | Modal.com deployment configuration (cloud GPU) |
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| `MODAL_DEPLOYMENT.md` | Modal.com deployment guide |
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| `templates/` | Flask HTML templates |
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| `static/` | Flask static files (CSS, JS) |
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| `pdfs/` | Source PDFs (gitignored) |
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| `output/` | Generated outputs per PDF |
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| `pyproject.toml` | Project metadata & dependency list |
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| `uv.lock` | Locked dependency versions (auto-maintained by `uv`) |
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---
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## Troubleshooting
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- **`ModuleNotFoundError: pymupdf4llm`** β install it via `uv pip install pymupdf4llm` (already listed in `pyproject.toml`).
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- **Slow performance** β ensure GPU CUDA drivers are available or reduce concurrency by toggling `USE_MULTIPROCESSING` in `main.py`.
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- **Large outputs** β clean the `output/` directory before reruns to avoid confusing duplicates.
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For additional logging, set `LOG_LEVEL` or edit the `logger` configuration in `main.py`.
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---
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## Acknowledgements
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- [DocLayout-YOLO](https://github.com/juliozhao/DocLayout-YOLO)
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- [PyMuPDF](https://pymupdf.readthedocs.io/)
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- [PyMuPDF4LLM](https://github.com/pymupdf/RAG/blob/main/pymupdf4llm.md)
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- [Flask](https://flask.palletsprojects.com/)
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Happy extracting! π
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---
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title: AI PDF Tool
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emoji: π
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colorFrom: gray
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colorTo: green
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sdk: docker
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pinned: false
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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