Papermill

A general-purpose FastAPI microservice that extracts text, structured data from tables, and metadata from various document types (TXT, DOCX, PDF, etc.).

Core Functions:

• Document Parsing: Handles multiple file types (TXT, DOCX and PDF).

• Metadata Extraction: Pulls out standard metadata like author, creation date, etc.

• Output: Returns a comprehensive JSON object containing all the extracted information.

Installation and Setup

# Fork and clone the repository
git clone https://github.com/<username>/papermill.git
cd papermill

# Create a branch for your changes
git checkout -b feature/your-feature-name

# Create and activate a virtual environment
uv venv
source .venv/bin/activate  # On Windows use `.venv\Scripts\activate`

# Install dependencies
uv pip sync requirements.txt

# Start the FastAPI Server
uvicorn src.app:app --reload

Push and make a pull request when your changes are ready.

Endpoints

• POST /extract: Upload a document and receive extracted text and metadata.
• POST /extract/url: Provide a URL to a document for extraction.
• GET /health: Check the health status of the service.
• GET /docs: Access the interactive API documentation.