Reducto vs AWS Textract | Agentic Platform vs Cloud OCR

Reducto leads independent benchmark on structured extraction with Deep Extract

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

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.

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.

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.