Google Cloud vs Microsoft Azure
Google Document AI (Enterprise Document OCR) vs Azure Document Intelligence (Read) for ocr & document extraction. Max pages: 200 vs 2000 — edge Microsoft Azure Computed from public benchmarks with dated sources; updated 2026-08-20.
Head to head
| Axis | Google Document AI (Enterprise Document OCR) | Azure Document Intelligence (Read) | Edge |
|---|---|---|---|
| Price | $1.5 per 1000 pages | $1.5 per 1000 pages | — |
| Score | — | — | — |
| Max pages | 200 | 2000 | Microsoft Azure |
| tables | ✓ | ✓ | — |
| handwriting | ✓ | ✓ | — |
| JSON | ✓ | ✓ | — |
Strengths & caveats
Google CloudMature, broad processor suite (OCR $1.50/1000 -> $0.60 above 5M pages, Layout Parser $10, Form/Custom $30) with strong layout, tables and handwriting; high-volume tiering is the cheapest at scale. No published OmniDocBench score for the dedicated processors (null); real cost rises sharply for table/form parsing ($10-30/1000) plus GCP project overhead; sync OCR caps ~15 pages, async to ~200 per call.Microsoft AzureBroadest language coverage for print/handwriting, Read OCR $1.50/1000 (->$0.60 above 1M), strong Layout API for tables/structure, mature prebuilt models (invoice, receipt, ID) and JSON output. No public OmniDocBench score (null); Layout/prebuilt $10/1000 and Custom Extraction $30/1000 plus $6/1000 add-ons (formula, high-res) push real cost up well beyond Read pricing.
Sources
- Mistral Pricing2026-08-20
- Mistral API Pricing (OCR tiers)2026-08-20
- Mistral OCR 4 — SOTA OCR for Document Intelligence2026-08-20
- Mistral OCR 4.1 model card2026-08-20
- CodeSOTA — OmniDocBench Leaderboard2026-08-20
- OmniDocBench (CVPR 2025) — opendatalab2026-08-20
- Google Cloud Document AI Pricing2026-06-22
- AWS Textract Pricing2026-08-20
- AWS Textract — Set Quotas2026-08-20
- Azure Document Intelligence Pricing2026-06-22
- Reducto Pricing2026-08-20
- LlamaParse / LlamaIndex Pricing2026-08-20
- LlamaParse Pricing — tiers & credits2026-08-20
- GLM-OCR — Z.AI Developer Docs2026-08-20