AWS Textract is a cost-effective starting point for raw OCR within the AWS ecosystem, and its pricing on simple text extraction is hard to beat. Reducto is the complete agentic document platform for AI teams who need multilingual support, accurate figure extraction, reliable checkbox detection, and a product experience built for modern document workflows rather than cloud infrastructure primitives.
Last updated: May 20, 2026
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Reducto consistently delivers high accuracy and reliable extraction where other systems fail, from the common scenarios (handwriting, complex tables) to the specialized ones (strikethroughs, redlines, advanced chart extraction).
Read and extract critical data out of documents, then fill out forms and create net-new documents all within Reducto.
Reducto provides flexible, pay-as-you-go pricing for small stage startups all the way to custom volume discounts for growing teams and enterprises. Plans start as low as $0.015/page parse and even lower at higher volume.
Reducto is built by a team of researchers and engineers advancing the frontier of document intelligence in both academic and production settings.
Textract is extremely cost-effective for raw OCR and benefits from AWS procurement advantages, making it a natural starting point for teams already on AWS. Reducto is the clear choice once teams need multilingual support, accurate figure and chart extraction, reliable checkboxes, spatial citations, or a developer experience that does not require deciphering which mode to use.
| Reducto | AWS Textract | |
|---|---|---|
| Parsing accuracy on complex layouts | Multi-pass Agentic OCR combining computer vision, OCR, and VLM. Up to 99-100% accuracy on complex real-world documents including multi-column layouts, mixed-content pages, and scanned documents. | Reliable on standard single-column text and forms. Accuracy degrades on complex multi-column layouts, overlapping content, and documents with irregular structure. |
| Figure and chart extraction | Purpose-built figure and chart extraction. Converts charts to structured tabular data and extracts figure captions and associated labels as structured output. | Figure and chart extraction is not supported. Textract treats figures as unstructured regions and does not extract data points or chart structure. |
| Checkbox extraction | Accurate checkbox detection and state extraction across scanned forms, digital PDFs, and mixed-format documents. Returns checkbox state and spatial position. | Checkbox extraction is a documented weakness. Form analysis mode covers some checkbox scenarios but accuracy on varied checkbox styles and scanned forms is inconsistent. |
| Handwriting recognition | Strong handwriting recognition built into the standard parse pipeline. Handles mixed handwritten and printed text on the same page. | Handwriting recognition is a documented weak point. Performance is poor on cursive and informal handwriting, and mixed handwriting and print on the same page is unreliable. |
| Multilingual support | 100+ languages including mixed-language documents. Language detection is automatic within the standard pipeline. | No multilingual support. Textract processes English-language documents. Teams with non-English documents must route to other services. |
| Table extraction | 0.90 table similarity score on RD-TableBench. Agentic table pass reconstructs merged cells, multi-level headers, rotated text, and tables with missing or faint borders. | Table extraction is available in Tables mode. Performance is solid on simple grids but degrades on complex layouts with merged cells or irregular structure. Tables mode costs approximately 15x more than basic OCR. |
| Spatial citations and sub-page regions | Every extracted field is linked to its exact bounding-box position in the source document. Citations are accessible via API and viewable in Reducto Studio. | No spatial sub-page citations for extracted values. Block-level geometry is returned by the API but is not surfaced as first-class extraction citations. |
| Document editing | Edit API writes data back into documents. Fills PDF form fields and DOCX controls using natural-language instructions. Supports scanned forms and digital PDFs. | Not available. Textract is read-only. There is no AWS Textract API for writing or editing document content. |
| Platform breadth | Full platform: Parse, Classify, Split, Extract, and Edit in one API. MCP server, CLI, and HITL workflow orchestration included. Reducto Studio provides a visual pipeline environment. | OCR and structured extraction only. Classification, editing, workflow orchestration, and agent tooling require additional AWS services and custom integration work. |
| Pricing model | Pay-as-you-go from $0.015/page with 15,000 free credits to start. Single pricing model regardless of document type or content. Volume discounts on Growth tier and above. | Very low cost for raw OCR (approximately 1/15th the cost of Textract's Tables mode per page). Multiple pricing modes create complexity: Detect Text, Analyze Document, Forms and Queries, and Tables are priced separately. |
| Ease of use and developer experience | Python, Node.js, and Go SDKs. Reducto Studio for visual pipeline building and citation inspection. Single unified API regardless of document type or content mix. | AWS SDK integration for teams already on AWS. Poor ergonomics is a common complaint: mode selection, async job management, and response parsing add significant implementation overhead. |
| Enterprise deployment | Cloud (multi-tenant), hybrid VPC, full VPC (AWS, GCP, Azure), on-premises, and fully air-gapped. SOC 2 Type II, HIPAA compliant with BAA available. | AWS-only deployment. Strong procurement advantage for teams with existing AWS enterprise agreements. SOC 2, HIPAA, and FedRAMP certifications available within the AWS compliance framework. |
Reducto's multi-pass system utilizes both OCR and vision language models for unmatched accuracy and reliability.
Reducto first uses layout-aware models to break down the document visually, capturing regions, tables, figures, and text.
Like a human editor, our Agentic model can detect minor mistakes and correct them, ensuring accuracy even in the most detailed cases.
Vision-language models then interpret each region in context—linking labels to values, understanding tables, and classifying segments.
Hands-on forward deployed support and tailored SLAs to meet your enterprise needs.
Run Reducto entirely within your own infrastructure—ideal for strict security, compliance, and data residency requirements.
Battle-tested infrastructure you can trust in production and at scale.
Enterprise-grade security, certified for sensitive and regulated data. View our security policies here.
