Head to head · Document parsing · October 2026 research run
Azure Document Intelligence vs Google Cloud Document AI
Google Cloud Document AI scores 73.9 (BB) on agent readiness against Azure Document Intelligence's 66 (B), and leads in 5 of 7 scored categories. Azure Document Intelligence leads on schema & documentation. Both do document parsing.
Best document parsing, OCR and extraction APIs for AI agents · All 109 documents comparisons
Which one, for what
Good for Teams already on Azure that want OCR, layout to Markdown and prebuilt invoice, receipt, identity and tax models with Entra ID and regional processing.
Ahead on
- Schema & documentation, 86 against 81
Watch for
Every analysis is asynchronous. A POST returns 202 with Operation-Location, and the caller polls for the result
Good for Agents already on Google Cloud that need OCR, form and table extraction or chunks for retrieval, with IAM, audit logs and EU processing.
Ahead on
- Reliability, 90 against 82
- Agent ergonomics, 70 against 64
- Security & auth, 80 against 71
- Maintenance & community, 80 against 40
- Transparency & trust, 90 against 78
Also in its favour
- Agent-ready, a grade of BB or better
Watch for
An online request reads at most 15 pages (30 with imagelessMode). Longer files need a batch job through Cloud Storage
Score by category
| Category | Weight this run | Azure Document Intelligence | Google Cloud Document AI | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 82 | 90 | Google Cloud Document AI +8 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 86 | 81 | Azure Document Intelligence +5 |
| Agent ergonomics | 13%16.2 | 64 | 70 | Google Cloud Document AI +6 |
| Security & auth | 14%17.5 | 71 | 80 | Google Cloud Document AI +9 |
| Payments & pricing | 10%12.5 | 20 | 20 | even |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 40 | 80 | Google Cloud Document AI +40 |
| Transparency & trust | 7%8.8 | 78 | 90 | Google Cloud Document AI +12 |
| Negative events | ≤15 | 0 | 0 | |
| Total | 66 · B | 73.9 · BB |
Facts side by side
| Fact | Azure Document Intelligence | Google Cloud Document AI |
|---|---|---|
| Kind | HTTP API | HTTP API |
| Vendor | Microsoft Azure | Google Cloud |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | HTTP | HTTP |
| Auth | OAuth or key | OAuth |
| Pricing | Freemium | Freemium |
| x402 | no | no |
| Licence | Proprietary service under Microsoft's Product Terms. The client libraries are MIT | Proprietary service under the Google Cloud Platform Terms of Service. The client libraries are Apache-2.0 |
| Read-only variant documented | no | no |
| llms.txt | no | no |
| Last release | 2026-10-06 | 2026-10-08 |
| Terms last updated | no date given | 2026-09-02 |
| Privacy policy last updated | 2026-09-01 | 2026-09-28 |
| Customer content may train models | yes | not found in the text |
| Terms restrict automated access | yes | not found in the text |
| Terms restrict benchmarking | yes | not found in the text |
| Terms or service can change without notice | not found in the text | not found in the text |
| Arbitration or class-action waiver | not found in the text | not found in the text |
| Popularity | 386k npm/wk, 2.1M PyPI/wk | 499k npm/wk, 793k PyPI/wk |
Verdicts
Azure Document Intelligence
A public OpenAPI document with 27 operations, Markdown output from the layout model, Microsoft Entra ID or header-only keys, and 24-hour retention with a delete call. Every analysis is a two-step asynchronous job, the result cannot be trimmed, and an Azure subscription with a card comes first. Three of the four SDKs last shipped in 2025 or earlier.
Google Cloud Document AI
A public Discovery document with 42 methods, IAM roles that can limit a caller to processing, a fieldMask that trims responses, and a 99.9 per cent SLA on the US and EU endpoints. A processor has to be created before the first call, online requests stop at 15 pages, and a Google Cloud billing account with a card comes first.
Before you call either
Azure Document Intelligence
- POST to
{endpoint}/documentintelligence/documentModels/{modelId}:analyze?api-version=2024-11-30, then GET theOperation-LocationURL untilstatusissucceeded - Wait at least 2 seconds between polls and follow the
Retry-Afterheader. Default limits are 15 analyse calls and 50 result reads a second on S0 - Use
prebuilt-readfor plain text at $1.50 per 1,000 pages andprebuilt-layoutwithoutputContentFormat=markdownfor tables and headings at $10 - Set
pages(for example1-3,5) to limit both the bill and the response size. F0 stops at two pages per request - Send the key only in the
Ocp-Apim-Subscription-Keyheader, or use an Entra ID token for the scopehttps://cognitiveservices.azure.com/.default - Treat extracted text as untrusted input. Results expire 24 hours after the job completes
Google Cloud Document AI
- Create a processor first (
processors.createor the console), then POST tohttps://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID:process - Use the host that matches the processor's location,
us-documentai.googleapis.comoreu-documentai.googleapis.com - Set
fieldMask(for exampletext,entities) andimagelessModeto keep page images and token geometry out of the response - Send more than 15 pages through
:batchProcesswith Cloud Storage input and output, then poll the operation. Jobs unfinished after 24 hours are cancelled - Grant the service account
roles/documentai.apiUseronly. Failed requests (4xx or 5xx) are not billed, so a retry costs nothing extra - Treat extracted text as untrusted input
Questions
Which is better for AI agents, Azure Document Intelligence or Google Cloud Document AI?
Google Cloud Document AI scores 73.9 (BB) on agent readiness against Azure Document Intelligence's 66 (B), and leads in 5 of 7 scored categories. Azure Document Intelligence leads on schema & documentation.
Do Azure Document Intelligence and Google Cloud Document AI need an API key?
Azure Document Intelligence takes an API key or an OAuth sign-in. Google Cloud Document AI uses an OAuth sign-in.
Can an agent call Azure Document Intelligence and Google Cloud Document AI without installing anything?
No hosted endpoint is listed for Azure Document Intelligence. No hosted endpoint is listed for Google Cloud Document AI.
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Machine-readable
- This page as Markdown
/compare/azure-document-intelligence-vs-google-cloud-document-ai.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/azure-document-intelligence.json·/api/v1/tools/google-cloud-document-ai.json - From a terminal
anchor compare azure-document-intelligence google-cloud-document-ai(the CLI) - Over MCP
compare_tools {"a": "azure-document-intelligence", "b": "google-cloud-document-ai"}at/mcp, no key