Pulse

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.

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.

Turn unstructured documents into structured data.

An agentic document-processing platform that extracts clean, structured JSON from PDFs, scans, and other complex documents using LLMs. Its Prompt Studio gives a no-code IDE to author and test extraction prompts per field, which you then deploy as APIs or ETL pipelines into your warehouse. Built by Zipstack, Unstract is open source under AGPL-3.0 and self-hostable via Docker Compose, with a managed cloud that adds SSO, human-in-the-loop review, and compliance certifications (SOC 2, HIPAA, ISO 27001, GDPR).