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light estimateLast updated 2026-08-20

Amazon Web Services vs Z.ai

AWS Textract (DetectDocumentText) vs GLM-OCR for ocr & document extraction. Max pages: 3000 vs 100 — edge Amazon Web Services Computed from public benchmarks with dated sources; updated 2026-08-20.

Head to head
AWS Textract (DetectDocumentText) compared with GLM-OCR per decision axis
AxisAWS Textract (DetectDocumentText)GLM-OCREdge
Price$1.5 per 1000 pages—*—
Score—95.22—
Max pages3000100Amazon Web Services
tables✓✓—
handwriting✓✓—
JSON✓✓—

* token-/credit-priced — the headline understates real per-unit cost, so no price edge is awarded.

Strengths & caveats
Amazon Web ServicesBattle-tested at enterprise scale; basic OCR $1.50/1000 dropping to $0.60 above 1M pages, async handles up to 3000-page/500MB PDFs and TIFFs, strong forms/tables/queries and printed+handwritten English, with Layout free when used alongside Tables. No public OmniDocBench score (null); language coverage limited to six Latin-script languages (English, French, German, Italian, Portuguese, Spanish) with handwriting and Queries English-only and no vertical-text support; tables +$15 and forms +$50 per 1000 (falling to $10 and $40 above 1M) make real-world cost far above the headline, and sync calls cap at 1 page / 10MB.Z.aiHighest published independent OmniDocBench composite of any hosted API in this table (95.22 on v1.6; Z.ai cites 94.62 on v1.5), callable at api.z.ai/api/paas/v4/layout_parsing with text, markdown and image-link output, HTML table reconstruction and handwriting support; the underlying 0.9B model is also self-hostable, and throughput is quoted at 1.86 PDF pages/second. Priced per token ($0.03 per million tokens for both input and output), not per page, so no comparable $/1000-pages rate exists without estimating — excluded from the price axis. Tight caps (100 pages per document, PDF 50MB, single image 10MB) rule it out for large documents, the documented language list is narrower than the hyperscalers', and China-hosted inference may raise data-residency questions for EU/US buyers.
Sources