Google Cloud Document AI
Google Cloud Document AI uses machine learning to automatically classify, extract, and enrich data from documents. It processes scanned and digital documents including forms, invoices, receipts, and contracts, transforming unstructured content into structured, actionable data.
Google Cloud Document AI publishes 1 API contract indexed on the APIs.io network: Projects API. Tagged areas include Data Extraction, Document Processing, Forms, Google Cloud, and Machine Learning.
The Google Cloud Document AI catalog on APIs.io includes 1 JSON-LD context and 1 Spectral governance ruleset.
Google Cloud Document AI’s developer surface includes developer portal, getting-started guide, documentation, authentication, pricing, support, and 14 more developer resources.
What this lets a business do 1
Business capabilities this provider's published APIs can perform, derived from its own contracts. Browse all capabilities →
Kin Score
Markets this provider is in provisional
The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.
| Market | Position | Depth | Registered MCP server | Declares compatibility |
|---|---|---|---|---|
| RPA and Document AI (RPA marketplaces, intelligent document processing) | undeclared | - | - | - |
Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.
Standards implemented 1
Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.
APIs 1
Individual APIs this provider publishes, each with its own machine-readable definition.
Google Cloud Document AI Projects API
The Projects API from Google Cloud Document AI — 4 operation(s) for projects.
Postman Collections 1
Ready-to-run Postman collections for exercising this provider's APIs.
Open Collections 2
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Google Cloud Document AI Projects API
OPEN COLLECTIONGoogle Cloud Document AI API
OPEN COLLECTIONGoogle Cloud Document AI API pricing
Prices published by Google Cloud Document AI, read 2026-10-28 from cloud.google.com/products/document-ai/pricing.
| Plan | Price |
|---|---|
| Enterprise Document OCR Processor (1,000 to 5,000,000 count) | $1.50 per 1,000 pages Includes: 0 count to 1,000 count $0.00 (Free) |
| OCR add ons | $6.00 per 1,000 pages |
| Custom extractor | $30.00 |
| Form Parser | $30.00 |
| Layout Parser (Includes initial chunking) | $10.00 |
| Re-chunking parsed documents | $0.02/ 1,000 count |
| Custom splitter | $5.00 |
| Custom classifier | $5.00 |
All 15 plans, limits and sources →
Rate limits
- Free Tier Default: 10 requests per minute
- Free Tier Monthly Quota: 1000 requests per month
- Professional Tier Default: 100 requests per minute
Compiled by API Evangelist, not yet checked against Google Cloud Document AI's documentation. All 5 limits →
Billed by: 0 count to 1,000,000 count · FinOps profile →
Pricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Google Cloud Document Ai Rate Limits
RATE LIMITSService Levels 1
Uptime the provider promises or reports, as SLA4OAI. Read from its own pages; APIs.io runs no monitors.
FinOps 1
Cost, billing, and metering signals for API financial operations.
Semantic Vocabularies 1
JSON-LD contexts and semantic vocabularies used across these APIs.
context Context
JSON-LDSpectral Rules 1
Spectral governance rulesets for linting and validating these APIs.
JSON Schema 1
Standalone JSON Schema definitions for this provider's data models.
Document Processing Request
JSON SCHEMASecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Resources
Get Started 2
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 1
Pagination, idempotency, versioning, errors, and events
Build 2
SDKs, sample code, and the tooling you integrate with
Access & Security 3
Authentication, authorization, and security posture
Operate 3
Status, limits, changes, and where to get help
Commercial 5
Pricing, plans, and the legal terms of use
Company 1
The organization behind the API
Other 1
Properties that don't map to a standard resource type
Source (apis.yml)
Google Cloud Document AI API — frequently asked questions
Does Google Cloud Document AI have an API?
Yes. APIs.io lists 1 API from Google Cloud Document AI, including Google Cloud Document AI Projects API.
Is there an OpenAPI specification for the Google Cloud Document AI API?
Yes. APIs.io indexes 1 OpenAPI specification for Google Cloud Document AI, each linked for download from this page.
How do I authenticate with the Google Cloud Document AI API?
Google Cloud Document AI uses bearer-token authentication.
How much does the Google Cloud Document AI API cost?
Google Cloud Document AI publishes its prices; its Enterprise Document OCR Processor (1,000 to 5,000,000 count) plan is $1.50 per 1,000 pages as of 2026-10-28. APIs.io lists 15 pricing plans for Google Cloud Document AI, with each plan's price, limits and inclusions under Pricing on this page.
Is the Google Cloud Document AI API ready for AI agents?
Google Cloud Document AI has a Kin Score of 49.3 out of 100 (developing) and an Agent Readiness score of 19.6 (agent-aware), scored by API Evangelist on 2026-11-06.
Work with this as data
Every provider here is available over the APIs.io API and to AI agents over MCP.