Reducto
Document ingestion API that turns complex PDFs into LLM-ready data.
About
Reducto is a specialized document ingestion layer for LLM workflows: it converts complex unstructured documents — PDFs, redlined contracts, financial statements, medical records — into structured, LLM-ready data by combining OCR with vision-language models. Founded in 2023 by MIT alumni, it closed a $75M Series B led by Andreessen Horowitz in October 2025, bringing total funding to $108M, and reports processing nearly a billion pages per month with 6x volume growth between April and October 2025.
Customers include AI-native companies like Harvey, Rogo, Mercor, and Scale AI plus enterprise accounts, and benchmarks cited by the company show 20%+ accuracy margins over legacy providers like AWS Textract and Google Document AI. It ships a developer API plus Reducto Studio for building document pipelines. The honest caveats: growth and accuracy figures are self-reported with no independent analyst validation, and Reducto is deliberately a parsing/extraction API, not a workflow platform — validation, routing, and integration remain your job.
What it can do
- OCR + vision-language models for complex documents
- Structured extraction, splitting, and chunking for RAG
- LLM-ready output tuned for vector databases
- Reducto Studio visual pipeline builder
- AI document editing API
Setup
Sign up for an API key, POST documents to the parse/extract endpoints, or build pipelines in Reducto Studio.
Prerequisites
Documents to process and an API key; LLM stack downstream.
Use cases
Works with
Trust score — 9/10
Scored 9/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 77; Trending score 88/100 from researcher assessment.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.