Extract | Structured Data Extraction from Any Document | Reducto
Reducto leads independent benchmark on structured extraction with Deep Extract
Helping everyone from startups to Fortune 10 enterprises unlock their data.
Companies Using Reducto
- Harvey
- Scale AI
- Newfront
- Medallion
- Vanta
- Legora
- Rogo
- Levelpath
- JLL
- Vise
- Laurel
- Toast
- Mercor
- Zip
- Anterior
- Supio
API Endpoints
/parse
Use when: Structured content from any document is needed for LLM or RAG use.
- Output: Structured chunks with typed blocks, bounding boxes, and confidence scores.
/extract
Use when: The fields to pull are defined and typed JSON is needed.
- Output: Schema-typed JSON with optional citations on every value.
- Read the Extract docs
/split
Use when: One file contains multiple logical documents or sections.
- Output: Page ranges for each section, with confidence scores.
/classify
Use when: Files need to be routed by type before processing.
- Output: Best-matching category with per-criterion confidence.
/edit
Use when: A PDF form needs filling or a DOCX needs updating.
- Output: A downloadable edited file, plus a reusable form schema.
Use Cases
- Invoice & AP automation: Pull header fields, taxes, and every line item into typed JSON.
- Contract & clause data: Capture effective date, expiration, parties, and more.
- Financial statements & filings: Extract totals, holdings, and transactions from complex documents.
- KYC, claims, and onboarding: Handle identity verification and claims processing.
- Long arrays & transaction lists: Verify fields accurately across long documents.
Features
- Schema-typed, every time: Output shape matches your schema.
- Citations on every value: Citations wrap each field for clarity.
- Complete extraction on long docs: Verify outputs across extensive documents.
- Deep Extract for complex documents: Handles nuanced layout variations.
- Reuse parsed work via
jobid://: Efficient re-usage of parsed documents. - Schema or schemaless: Adaptability based on output needs.
Steps to Use Extract
- Send a file + schema: Upload a file or URL and define fields.
- Parse runs underneath: Processes content with OCR and layout detection.
- LLM locates each field: Guides model to extract accurately.
- You get typed JSON: Outputs match your schema with citations.
Built for Production
Enterprise-ready features: SOC 2 Type II, HIPAA compliance, and more.
Try out Extract in Studio or via the API: Open Studio | Request a demo