Reducto leads independent benchmark on structured extraction with Deep Extract

Helping everyone from startups to Fortune 10 enterprises unlock their data.

Clients

• Harvey
• Scale AI
• Newfront
• Medallion
• Vanta
• Legora
• Rogo
• Levelpath
• JLL
• Vise
• Laurel
• Toast
• Mercor
• Zip
• Anterior
• Supio

Endpoint Usage

/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.

/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.

Document Triage at Upload

• Sort IDs, statements, contracts, and voided checks into the right processing queue.
• Schema routing for extraction applies based on document type.

Classify Process

1. Send file + classification_schema: Upload a file or point at a URL with defined categories.
2. Lightweight ingestion: Classify reads the document without a full parse.
3. Best match + structured reasoning: You receive the best-matching category and per-criterion breakdown.

Built for Production

• SOC 2 Type II
• HIPAA
• Zero Data Retention
• VPC · On-prem · Air-gapped
• EU · AU regional endpoints
• 99.9%+ uptime SLA
• Enterprise support