Reducto

Reducto is an agent document platform built for AI teams that need documents turned into structured data. It uses a multi-channel system that combines OCR with vision-language models, so it reads a page the way a person does rather than treating it as a flat stream of text. The core r1 model is positioned as a replacement for a chain of separate tools, and it costs about one cent per page. On top of parsing, it extracts structured data with schema-level accuracy for things like invoice fields and onboarding forms, splits multi-document files into individual units, and fills blanks, tables, and checkboxes from supplied data. Multiple languages and handwriting are supported, and the platform connects to AI agents through the Model Context Protocol. New users get 15,000 free credits.

- Parse complex layouts, tables, and formatting with bounding boxes

- Extract structured fields at schema level from forms and reports

- Split long or multi-document files into usable units

- Fill detected blanks, tables, and checkboxes from your data

- Handle multiple languages and handwritten content

- Connect the pipeline to AI agents through MCP

Startups use it to get document processing working without building an OCR stack. Financial enterprises use it to pull key information out of investor reports and statements for decision support. Healthcare organisations use it for medical documents where compliance is not optional, backed by HIPAA and SOC2 posture, BAAs, and on-premises deployment. Legal teams use the high-accuracy parsing for documents with complex structure. Any team feeding documents into an AI pipeline is in scope.

The 15,000 free credits are an evaluation allowance; production volume is pay-as-you-go, so cost scales with page count. Complex documents, unusual scans, and dense handwriting can still produce errors that need human review, and schema-level accuracy depends on how well your schema describes the document. The compliance and deployment features that matter to regulated industries sit on the growth and enterprise tiers rather than the standard plan. Finally, this is an API-first platform, so someone on your side has to design the schemas and wire the integration.