# 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

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

\+ many more

| Dimension            | Reducto                                                             | Unstructured                                                       |
|----------------------|----------------------------------------------------------------------|-------------------------------------------------------------------|
| Category             | Full platform: parse, extract, split, classify, and edit in one API.| Open-source parsing and ETL library, with a hosted platform on top.|
| Parsing accuracy      | Yes: Up to 99–100% zero-shot accuracy on complex documents.         | Partial: Solid on standard types; mixed on complex layouts and long-tail documents. |
| Table extraction      | Yes: 0.90 on RD-TableBench; merged cells, multi-level headers, borderless tables. | Partial: Documented weak point; no reconstruction pass for irregular tables. |
| Structured extraction  | Yes: Deep Extract: 99.6% precision and recall on micro1's benchmark.| Partial: Single enrichment pass; no self-correction loop or spatial citations. |
| Platform breadth       | Yes: Parse, Extract, Split, Classify, Edit; MCP server, CLI, SDKs, Studio. | Partial: 65+ file types and broad connectors; no editing or form filling. |
| Enterprise readiness   | Yes: SOC 2 Type II, HIPAA, zero data retention; VPC to air-gapped. | Yes: SOC 2 Type II, HIPAA, ISO 27001, GDPR on hosted platform. |
| Operations at scale    | Yes: Managed autoscaling for bursty workloads; 5B+ pages processed. | No: Self-hosting means you own scaling; no documented autoscaling. |
| Pricing                | From $0.015/page pay-as-you-go; 15,000 free credits.               | Open source is free to self-host; hosted platform priced separately. |

Parse one of your hardest documents in Studio and compare the output side by side.

[Open Studio](https://studio.reducto.ai/#__ph_did=019fe457-514b-7f2f-b04b-1020f8830cc4&__ph_sid=019fe457-514b-7f2f-b04b-101ec5ff05e9) [Request a demo](/content/contact?source=compare_reducto_vs_unstructured/index.html)

## Choose Reducto if…

- Accuracy on complex, long-tail documents is the bottleneck: dense tables, scans, charts, handwriting, mixed-content pages.
- You'd rather delete pipeline code than maintain it: parsing, extraction, splitting, classification, and editing in one managed API.
- You're in a regulated industry where zero data retention, a BAA, or VPC/on-prem/air-gapped deployment are non-negotiable.
- You need spatial citations linking every extracted value to its source for compliance, audit, or human review.
- You're running production workloads that need autoscaling for bursty volume, not a self-managed cluster.

## Unstructured may be a fit if…

- You want an open-source, self-hosted library you can inspect, modify, and run entirely on your own infrastructure.
- Your priority is broad ETL connector coverage into cloud storage and data warehouses, across a wide range of file types.
- You're prototyping with standard document types where complex-layout accuracy isn't yet critical, and community support fits your workflow.