Skip to content
#

pdf-extraction

Here are 66 public repositories matching this topic...

A polyglot document intelligence framework with a Rust core. Extract text, metadata, and structured information from PDFs, Office documents, images, and 50+ formats. Available for Rust, Python, Ruby, Go, and TypeScript/Node.js—or use via CLI, REST API, or MCP server.

  • Updated Nov 29, 2025
  • HTML

Conversion of PDF documents to structured Markdown, optimized for Retrieval Augmented Generation (RAG) and other NLP tasks. Extract text, tables, and images with preserved formatting for enhanced information retrieval and processing.

  • Updated Nov 22, 2024
  • Python

Anyparser Typescript SDK for RAG/ETL Pipelines - File Content Extraction. Supports extraction from various file formats including PDF, Microsoft Office documents, OCR/Image to Text, Audio to Text, and Website to Text.

  • Updated Feb 26, 2025
  • TypeScript

A high-performance Python library for extracting structured content from PDF documents with layout-aware text extraction. pdf_to_json preserves document structure including headings (H1-H6) and body text, outputting clean JSON format.

  • Updated Nov 24, 2025
  • Python

Improve this page

Add a description, image, and links to the pdf-extraction topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the pdf-extraction topic, visit your repo's landing page and select "manage topics."

Learn more