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About
Reducto is an enterprise-grade AI document ingestion and extraction platform designed for AI teams that need reliable, high-accuracy data from complex documents. By combining traditional OCR with vision-language models (VLMs) in a multi-pass agentic pipeline, Reducto reads documents the way humans do—capturing layout, structure, tables, charts, handwriting, and meaning with exceptional fidelity. The platform offers four core capabilities: Parse intelligently extracts content while preserving document structure and correcting errors in real-time via Agentic OCR; Split automatically separates multi-document files into individually useful units without manual preprocessing; Extract pulls structured data from documents using schema-level precision, ideal for invoices, onboarding forms, and financial disclosures; and Edit fills in detected blanks, tables, and checkboxes dynamically without requiring bounding boxes or templates. Reducto supports PDFs, images, spreadsheets, slides, scanned pages, and faxed documents across 100+ languages. Its output is optimized for LLM pipelines with intelligent chunking, embedding optimization, and figure summaries. Serving clients from startups to Fortune 10 enterprises—including Harvey, Scale AI, JLL, and Toast—Reducto is the go-to solution for industries where document accuracy is mission-critical. Backed by $108M in total funding and a Series B led by a16z, Reducto is built for scale.
Key Features
- Agentic OCR Parser: Reads documents like a human using layout-aware models and VLMs that review and self-correct outputs in real-time, achieving near-perfect accuracy even on edge cases.
- Structured Data Extraction: Extracts schema-level structured data from any document type—invoices, financial disclosures, onboarding forms—ensuring data lands exactly where your pipeline needs it.
- Intelligent Document Splitting: Automatically separates multi-document files and long forms into individually useful units using layout-aware heuristics, eliminating manual preprocessing.
- Dynamic Form Editing: Detects and fills blanks, tables, and checkboxes in scanned PDFs, digital forms, and complex multi-page documents without requiring predefined templates or bounding boxes.
- LLM-Ready Output: Delivers intelligently chunked, embedding-optimized document data with figure summaries and multilingual support across 100+ languages, ready for downstream AI workflows.
Use Cases
- Parsing dense SEC filings, financial statements, and investor decks into structured data for quantitative finance and hedge fund analytics pipelines.
- Extracting structured fields from insurance forms, medical records, and onboarding documents in healthcare and insurance workflows.
- Ingesting legal contracts, court filings, and discovery documents into AI-powered legal research and contract analysis systems.
- Processing invoices, purchase orders, and receipts for automated accounts payable and procurement data extraction.
- Building RAG (retrieval-augmented generation) applications that require accurate, chunked, and embedding-ready content from enterprise document repositories.
Pros
- Exceptional Accuracy on Complex Documents: The multi-pass agentic pipeline—combining OCR with vision-language model correction—handles dense tables, charts, handwriting, and mixed-language documents that defeat traditional parsers.
- Flexible, All-in-One API: A single API covers parsing, splitting, extraction, and editing for PDFs, images, spreadsheets, and slides, reducing integration overhead for AI engineering teams.
- Enterprise-Ready at Scale: Trusted by Fortune 10 companies and high-accuracy-demanding industries like finance and legal, with a proven track record processing millions of pages reliably.
Cons
- Primarily API-Driven: Reducto is built for developers and AI teams; non-technical users without coding experience may find the platform difficult to adopt without a no-code interface.
- Enterprise Pricing Opacity: Full pricing details for large-scale usage require contacting sales, making cost estimation difficult for teams evaluating the platform at scale.
Frequently Asked Questions
What document types does Reducto support?
Reducto supports PDFs (including scanned and handwritten), images, Excel spreadsheets, PowerPoint slides, faxes, and more—all through a single unified API.
How does Reducto achieve high parsing accuracy?
Reducto uses a multi-pass system: layout-aware computer vision first breaks down the document structure, then vision-language models interpret each region in context, and an Agentic OCR layer reviews and corrects any mistakes in real-time.
Is Reducto suitable for regulated industries like healthcare and finance?
Yes. Reducto is purpose-built for accuracy-critical industries including finance, healthcare, insurance, and legal. It is trusted by top hedge funds, law firms, and enterprise clients for processing sensitive and complex documents.
Can I try Reducto for free?
Yes, Reducto offers a free tier so developers and AI teams can get started and test the platform before committing to a paid plan. Enterprise pricing is available via the sales team.
How does Reducto integrate with LLM pipelines?
Reducto outputs are LLM-optimized by default, with intelligent document chunking, embedding optimization, figure summaries, and structured data formats that plug directly into RAG pipelines and AI workflows.
