Document Conversion & Preprocessing

Fast Rust library for PDF classification and text extraction that detects scanned vs text-based documents to route RAG pipelines without OCR. MIT licensed.

Accessibility-aware PDF parser and conversion pipeline for AI-ready markdown and structured data workflows.

Python tool for converting files and office documents to Markdown. Supports PDF, PowerPoint, Word, Excel, images, audio, HTML, and more with OCR and transcription capabilities. MIT licensed.

Lightweight document parsing toolkit for AI and RAG pipelines with PDF/OCR extraction and clean preprocessing defaults.

Large-scale OCR suite with detection, recognition, and layout analysis, used widely for document digitization and downstream RAG pipelines.

Agentic LLM-powered data processing and ETL system for complex document processing. Query rewriting and evaluation for unstructured data analysis with 80% higher accuracy than baselines. MIT licensed.

TypeScript library, CLI, and MCP server that converts Korean documents (HWP 3.x/5.x, HWPX, HWPML) as well as PDF, DOCX, XLSX, PPTX, and images to Markdown and structured data. MIT licensed.