A modular FastAPI backend that extracts text, tables, and images from uploaded PDF files.
The extracted content is returned as a ZIP file containing:

• ✅ text.txt – extracted text
• ✅ table_X.csv – tables saved as CSV (without using pandas, lightweight CSV writer)
• ✅ extracted image files (image_1.png, image_2.png, …)

This project is designed with clean modular structure, Dockerized deployment, and can be consumed easily by any frontend (e.g., Streamlit).

• Upload a PDF via REST API
• Extract:
  • Text (saved in .txt)
  • Tables (saved in .csv without pandas, using Python’s built-in csv)
  • Images (saved as .png)
• Get everything in a single downloadable ZIP file
• Modular project structure (services, utils, routes)
• Dockerized for easy deployment

pdf-extractor-backend/
│── app/
│   ├── main.py                 # FastAPI entrypoint
│   ├── routes/
│   │   └── extract.py          # API endpoint
│   ├── services/
│   │   └── extractor.py        # PDF extraction logic
│   ├── utils/
│   │   └── file_ops.py         # File saving helpers
│── requirements.txt            # Python dependencies
│── Dockerfile                  # Container build file
│── README.md                   # Documentation

git clone https://github.com/Dipesh-Ydv/pdf-extractor-backend-api.git
cd pdf-extractor-backend

pip install -r requirements.txt

uvicorn app.main:app --reload

Go to: http://127.0.0.1:8000/docs

POST /extract/pdf

Upload a PDF file with the key file.

Example using curl:

curl -X POST "http://127.0.0.1:8000/extract/pdf" \
  -F "file=@sample.pdf" \
  -o output.zip

• Returns a ZIP file containing:
  • text.txt
  • table_1.csv, table_2.csv, …
  • image_1.png, image_2.png, …

docker build -t pdf-extractor-backend .

docker run -d -p 8000:8000 pdf-extractor-backend

Now API is available at: 👉 http://localhost:8000/docs

docker tag pdf-extractor-backend:latest dipeshydv/pdf-extractor-backend:latest

docker push dipeshydv/pdf-extractor-backend:latest

docker pull dipeshydv/pdf-extractor-backend:latest
docker run -d -p 8000:8000 dipeshydv/pdf-extractor-backend:latest

See requirements.txt:

fastapi
uvicorn[standard]
python-multipart
pdfplumber
pillow
pandas
zipfile36
pyMuPdf

1. Fork the project
2. Create a feature branch (git checkout -b feature/xyz)
3. Commit changes (git commit -m 'Add xyz')
4. Push to branch (git push origin feature/xyz)
5. Create a Pull Request

MIT License – free to use & modify.