Reducto

Reducto

Reducto is an agentic document-parsing platform that turns messy PDFs, scans, and spreadsheets into accurate, LLM-ready data for RAG pipelines and extraction. Reducto combines computer vision with vision-language models to produce layout-aware output across 30+ formats, and as of 2026 its agentic OCR layer runs multi-pass review to catch and correct last-mile parsing errors. Reducto also handles document splitting and schema-based data extraction, and is aimed at AI and enterprise teams building document-intelligence workflows.

Production credibility: Raised a $75M Series B led by Andreessen Horowitz (October 2025), bringing total funding to $108M; earlier rounds include a $24.5M Series A led by Benchmark and an $8.4M seed from First Round Capital, with Y Combinator backing. Named customers include Scale AI, Harvey, Vanta, and JLL, and the company reports processing billions of pages, with availability on AWS Marketplace.

Key Features

• Parse API: computer vision plus vision-language models for layout-aware output
• Agentic OCR: multi-pass review that auto-corrects parsing errors
• Schema-based structured extraction from forms and financial documents
• Automatic splitting of multi-document files
• Edit and fill of detected blanks and checkboxes in forms
• 30+ formats (PDFs, images, spreadsheets, scans) across 100+ languages

Ideal Use Case

AI and data teams building retrieval and document-intelligence pipelines that need complex, real-world documents — financial statements, contracts, scanned forms — parsed accurately into structured data an LLM can use.

How Reducto differentiates

Unstructured is a popular open-source toolkit for partitioning documents; Reducto is a managed, API-first platform that adds self-correcting agentic OCR and schema extraction tuned for enterprise accuracy at scale. The trade-off is that Reducto is commercial rather than open source, but for teams where parsing accuracy on hard documents is the binding constraint on a RAG system, that managed accuracy is the reason a16z and Benchmark backed it and customers like Harvey rely on it.

FAQ

Q: What does Reducto do? A: Reducto parses complex documents — PDFs, scans, spreadsheets — into accurate, structured, LLM-ready data for RAG and extraction, using computer vision plus vision-language models with a self-correcting OCR layer.

Q: Reducto vs Unstructured? A: Reducto is a managed, agentic document platform with self-correcting OCR and schema extraction, while Unstructured is an open-source partitioning toolkit. Reducto positions on enterprise accuracy at scale.

Q: Is Reducto open source? A: No — Reducto is a commercial, API-first product from a Y Combinator-backed company that has raised $108M total, with a $75M Series B led by a16z.

Q: What formats and languages does it support? A: 30+ formats including PDFs, images, spreadsheets, and scanned documents, across 100+ languages.

tl;dr

Reducto is an agentic document-parsing platform that converts messy PDFs, scans, and spreadsheets into accurate, LLM-ready data for RAG. It pairs computer vision with vision-language models and a self-correcting OCR layer across 30+ formats. $108M raised ($75M Series B, a16z); used by Harvey, Scale AI, and Vanta. A managed alternative to Unstructured.