Rossum

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.

ETL for LLMs — turn PDFs, decks, and emails into clean, structured data.

Ingests 64+ file types and partitions, chunks, enriches, and embeds them into LLM-ready output, handling OCR, tables, and document hierarchy. An open-source library plus a low-code platform and API; a staple preprocessing layer for production RAG.

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.