# Reducto leads independent benchmark on structured extraction with Deep Extract

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

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

| Dimension | Reducto | AWS Textract |
| --- | --- | --- |
| Category | Full platform: parse, extract, split, classify, and edit in one API. | Cloud OCR primitive with fixed feature types (text, forms, tables, queries). |
| Parsing accuracy | Yes: Up to 99–100% zero-shot accuracy on complex documents. | Partial: Reliable on single-column text; degrades on multi-column and irregular layouts. |
| Table extraction | Yes: 0.90 on RD-TableBench; merged cells, multi-level headers, borderless tables. | Partial: Solid on simple grids; degrades on merged cells and irregular structure. |
| Figures, checkboxes & handwriting | Yes: Charts to structured tables; checkbox detection; handwriting in standard pipeline. | Partial: Figures unstructured; checkbox and handwriting are documented weak points. |
| Multilingual support | Yes: 100+ languages with automatic detection, including mixed-language documents. | Partial: Small set of mostly Latin-script languages; handwriting is English-only. |
| Extraction & citations | Yes: Per-field citations and bounding boxes; Deep Extract 99.6% precision and recall. | Partial: Block-level geometry only; no first-class extraction citations. |
| Enterprise deployment | Yes: SOC 2 Type II, HIPAA, zero data retention; VPC to air-gapped. | Yes: AWS-native with SOC 2, HIPAA, FedRAMP under AWS compliance. |
| Pricing | From $0.015/page pay-as-you-go; 15,000 free credits. | Cheap raw OCR; forms, tables, and queries priced per feature. |

## Choose Reducto if…
- Your documents include complex layouts, dense tables, scans, handwriting, checkboxes, or figures: the cases where OCR-first services degrade.
- You're feeding LLM pipelines and need structured, citation-backed output rather than raw blocks that require heavy post-processing.
- Your corpus is multilingual; Reducto reads 100+ languages with automatic detection.
- Your workflow extends beyond OCR into classification, splitting, extraction with citations, or writing data back into documents.
- You want document processing inside your own AWS VPC (or on-prem/air-gapped) without assembling and maintaining a multi-service pipeline.

## AWS Textract may be a fit if…
- Your documents are mostly clean, single-column, printed English text and raw OCR at low volume is all you need.
- You're deeply committed to AWS: existing enterprise agreements, credits, IAM, and S3 workflows make a native service the path of least resistance.
- You need FedRAMP authorization within the AWS compliance framework for government workloads.
- You have the engineering capacity to own mode selection, async job management, and post-processing as part of a custom AWS pipeline.