Compare Amazon Textract with top alternatives in the document processing category. Find detailed side-by-side comparisons to help you choose the best tool for your needs.
These tools are commonly compared with Amazon Textract and offer similar functionality.
Document AI
Cloud document processing platform that automates data extraction and classification with industry-leading OCR accuracy. Processes invoices, receipts, forms, and custom document types to optimize document workflows and improve processing efficiency.
Other tools in the document processing category that you might want to compare with Amazon Textract.
Document Processing
Enterprise-grade text extraction and document processing framework that detects and extracts content from 1,000+ file formats. Free, containerized, and battle-tested across 18 years of production deployment.
Document Processing
Extract structured data from documents using AI models trained on your specific formats. Automates form processing, invoice extraction, and contract analysis with 95%+ accuracy through custom model training and 16+ prebuilt models.
Document Processing
AWS document processing service that extracts text, tables, forms, and structured data from scanned documents and images using machine learning. Pay-per-page pricing starting at $0.0015/page for OCR.
Document Processing
Microsoft's document processing service with prebuilt and custom extraction models for forms, invoices, receipts, IDs, and contracts. Pay-per-page from $0.001/page for read. Custom model training available.
💡 Pro tip: Most tools offer free trials or free tiers. Test 2-3 options side-by-side to see which fits your workflow best.
Textract delivers competitive accuracy (95-98%) for standard documents and excels at handwriting recognition. Azure Document Intelligence often outperforms on complex table layouts and offers custom model training that Textract lacks. Textract wins on per-page pricing at high volumes.
No. Textract only offers prebuilt models for general documents, forms, tables, invoices, IDs, and lending documents. For custom extraction, consider Azure Document Intelligence or Google Document AI which support custom model training.
Up to 3,000 pages using the asynchronous API with S3 storage. Individual pages can be up to 10MB. The synchronous API is limited to single pages.
Textract requires significant post-processing for RAG. The JSON output includes bounding boxes and hierarchical structures that need conversion to clean text or markdown before feeding to vector databases or LLMs. Build preprocessing pipelines for clean output.
Volume discounts kick in after 1 million pages/month. Basic OCR drops from $0.0015 to $0.0006/page. Table extraction drops from $0.015 to $0.01/page. Form extraction drops from $0.05 to $0.04/page. At 2M pages/month, basic OCR costs about $2,100.
Compare features, test the interface, and see if it fits your workflow.