# Reducto leads independent benchmark on structured extraction with Deep Extract

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

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

| Dimension | Reducto | Pulse |
| --- | --- | --- |
| Category | Full platform: parse, extract, split, classify, and edit in one API. | Focused parsing and extraction product, emphasizing financial documents. |
| Parsing accuracy | Yes: Up to 99–100% zero-shot accuracy on complex documents. | Partial: Solid on its core document types; narrower pipeline. |
| Structured extraction | Yes: Deep Extract: 99.6% precision and recall on micro1's benchmark. | Partial: Extraction offered, without granular per-field spatial citations. |
| Table extraction | Yes: 0.90 on RD-TableBench; merged cells, multi-level headers, borderless tables. | Yes: A stated focus, particularly for financial documents. |
| Enterprise readiness | Yes: SOC 2 Type II, HIPAA, zero data retention; VPC to air-gapped. | Partial: Fewer documented compliance and deployment options. |
| Production track record | Yes: 5B+ pages processed; Harvey, Scale AI, and Vanta in production. | Partial: Newer product, serving primarily small to mid-market teams. |
| Agent tooling | Yes: MCP server, CLI, Python/Node.js/Go SDKs, and Studio. | Partial: API-first; agent-native tooling is not the focus. |
| Pricing | From $0.015/page pay-as-you-go; 15,000 free credits. | $340 minimum monthly fee; volume discounts are enterprise-tier only. |

### Choose Reducto if…

- Accuracy on complex documents (dense tables, handwriting, scans, charts, redlines) directly gates your product quality.
- You're in a regulated industry where SOC 2, HIPAA, zero data retention, or VPC/on-prem/air-gapped deployment are non-negotiable.
- Your workflow extends beyond parsing into extraction with citations, splitting, classification, or form filling and document editing.
- You need per-field spatial citations for compliance review, audit, or human-in-the-loop verification.
- You're standardizing a document layer for production scale and want a vendor with a proven track record: 5B+ pages processed for teams like Harvey, Scale AI, and Vanta.

### Pulse may be a fit if…

- Your needs center on parsing a well-defined set of documents, particularly the financial documents where Pulse focuses.
- You want a focused, API-first parsing product and don't need splitting, classification, editing, or granular citations.
- You prefer working with a smaller, earlier-stage vendor and its monthly-minimum pricing fits your steady usage.