Reducto is a document ingestion and parsing API that turns complex files into clean, structured data for AI. It handles PDFs, scans, tables, and charts that break traditional parsers.
Most AI pipelines fail because the source documents are messy. Reducto uses vision-language models to extract accurate text, tables, and figures from any layout, then returns chunked, structured output ready for RAG or analytics. It is built for accuracy at scale.
Product Features
- High-accuracy parsing of PDFs, scans, and images
- Table, chart, and figure extraction with structure preserved
- Layout-aware chunking optimized for RAG
- Structured extraction against custom schemas
- Async pipeline API for high-volume processing
- Simple REST API and SDKs
Product Highlights
- Vision-based parsing beats rule-based extractors
- Handles the hard documents others fail on
- Outputs clean chunks that improve retrieval quality
- Built for enterprise document volumes
Use Cases
- Ingesting financial reports into a RAG system
- Extracting tables from scanned invoices
- Turning research papers into structured data
- Preparing legacy archives for search
- Feeding clean context to document Q&A agents
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