Unstract

Agentic document parsing and extraction for AI teams, via one API.

A document-intelligence API that parses, splits, extracts, and edits PDFs, images, spreadsheets, and slides into clean, structured output for RAG and AI pipelines. It blends custom in-house models with frontier ones and bills via usage credits, automatically discounting pages it can parse without the heavier pipeline.

Open-source document intelligence API for RAG-ready data.

A document parsing and intelligence API that turns complex PDFs, slides, Word docs, and images into clean, LLM/RAG-ready chunks. Chunkr runs layout analysis, OCR, reading-order detection, semantic chunking, and schema-based extraction, emitting HTML, Markdown, or JSON. Self-host the open-source pipeline or call the managed cloud API, which includes a free tier of 200 pages with no card required.

Agentic document parsing that turns complex PDFs into AI-ready markdown.

LlamaParse is LlamaIndex's managed document-parsing service: it extracts text, tables, charts, and images from PDFs and 90+ other formats into clean markdown for RAG pipelines. It offers layout-aware and multimodal parsing modes and 100+ language support, and anchors the LlamaCloud platform alongside Extract, Classify, Split, and Index.

Full-stack document processing platform for AI agents and pipelines.

Extend is an LLM-powered document processing platform that parses, extracts, classifies, splits, and edits complex documents — handwriting, tables, and mixed formats — into reliable structured data via API or its web Studio. It combines multiple frontier models with proprietary context engineering to target 99%+ accuracy on messy real-world files. Used by teams at Brex, Square, Checkr, and Flatiron Health.