Amazon Textract vs Competitors: Side-by-Side Comparisons [2026]

Textract delivers competitive accuracy of 95-98% for standard printed documents and excels at handwriting recognition with 85-90% accuracy. Azure Document Intelligence often outperforms on complex table layouts and offers custom model training, which Textract lacks entirely. Textract wins decisively on per-page pricing at high volumes — dropping to $0.0006/page after 1 million pages monthly. Choose Textract if you're already on AWS; choose Azure if you need custom models or are processing complex tabular data.

No. Textract only offers prebuilt models for general documents, forms, tables, invoices, IDs, and lending documents. There's no equivalent to Azure Document Intelligence's custom model training or Google Document AI's custom processors. For domain-specific extraction beyond the prebuilt APIs, you'd need to combine Textract with downstream processing using SageMaker or external ML pipelines, or switch to a competitor that supports custom training.

Textract handles documents up to 3,000 pages using the asynchronous API with S3 storage. Individual pages can be up to 10MB in size, with supported formats including PDF, JPEG, PNG, and TIFF. The synchronous API is restricted to single pages only, so any multi-page workflow requires uploading the document to S3 first and then polling or receiving an SNS notification when processing completes. Most production workflows use the async pattern with Lambda triggers.

Textract requires significant post-processing to be usable in RAG pipelines. The raw JSON output includes bounding boxes, hierarchical block structures, and confidence scores that need conversion to clean text or markdown before feeding into vector databases or LLMs. The open-source amazon-textract-response-parser library (Apache 2.0) is widely recommended for this preprocessing. Plan to build a dedicated transformation layer — the raw output won't feed cleanly into LangChain or LlamaIndex without intermediate processing.

Textract uses a pay-per-page model with significant volume discounts kicking in after 1 million pages monthly. Basic OCR drops from $0.0015 to $0.0006/page (a 60% discount), table extraction drops from $0.015 to $0.01/page, and form extraction drops from $0.05 to $0.04/page. At 2 million pages per month for basic OCR, the cost is approximately $2,100/month. The free tier provides 1,000 pages/month for basic OCR and 100 pages/month for advanced features during the first three months for new AWS accounts.