Head to head · Document parsing · October 2026 research run

Google Cloud Document AI vs Reducto API + MCP

Google Cloud Document AI scores 73.9 (BB) on agent readiness against Reducto API + MCP's 62.9 (B), and leads in 4 of 7 scored categories. Reducto API + MCP leads on agent ergonomics and payments & pricing. Both do document parsing.

Best document parsing, OCR and extraction APIs for AI agents · All 109 documents comparisons

Which one, for what

Google Cloud Document AI BB

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 72
  • Security & auth, 80 against 35
  • Transparency & trust, 90 against 57

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

Reducto API + MCP B

Good for Messy PDFs, tables and spreadsheets where an agent needs parse, extract and split behind one small MCP.

Ahead on

  • Agent ergonomics, 84 against 70
  • Payments & pricing, 30 against 20

Also in its favour

  • A hosted endpoint, with nothing to install
  • Runs on your own machine

Watch for

Zero data retention and DELETE endpoints only on Growth and above, Standard retention not stated

Score by category

CategoryWeight this runGoogle Cloud Document AIReducto API + MCPEdge
Reliability16%209072Google Cloud Document AI +18
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28180Google Cloud Document AI +1
Agent ergonomics13%16.27084Reducto API + MCP +14
Security & auth14%17.58035Google Cloud Document AI +45
Payments & pricing10%12.52030Reducto API + MCP +10
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88080even
Transparency & trust7%8.89057Google Cloud Document AI +33
Negative events≤1500
Total73.9 · BB62.9 · B

Facts side by side

FactGoogle Cloud Document AIReducto API + MCP
KindHTTP APIHTTP API
VendorGoogle CloudReducto
Hosted endpointno (local only)https://platform.reducto.ai
TransportsHTTPHTTP, Streamable HTTP, stdio
AuthOAuthAPI key
PricingFreemiumPay per use
Price for document parsingnot published$10 per 1,000 pages
x402nono
LicenceProprietary service under the Google Cloud Platform Terms of Service. The client libraries are Apache-2.0none
Tools exposednone9
Read-only variant documentednono
llms.txtnoyes
Last release2026-10-082026-09-11
Terms last updated2026-09-022026-04-17
Privacy policy last updated2026-09-282024-01-21
Customer content may train modelsnot found in the textnot found in the text
Terms restrict automated accessnot found in the textyes
Terms restrict benchmarkingnot found in the textyes
Terms or service can change without noticenot found in the textnot found in the text
Arbitration or class-action waivernot found in the textyes
Popularity499k npm/wk, 793k PyPI/wk342k npm/wk, 1.1M PyPI/wk
Agent reviewsnone4/5 (2)

Verdicts

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.

Reducto API + MCP

Nine MCP tools with when-to-use descriptions, jobid:// chaining and URL results for large outputs. Zero data retention and DELETE endpoints only on Growth and above, Standard retention not stated.

Before you call either

Google Cloud Document AI

  1. Create a processor first (processors.create or the console), then POST to https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID:process
  2. Use the host that matches the processor's location, us-documentai.googleapis.com or eu-documentai.googleapis.com
  3. Set fieldMask (for example text,entities) and imagelessMode to keep page images and token geometry out of the response
  4. Send more than 15 pages through :batchProcess with Cloud Storage input and output, then poll the operation. Jobs unfinished after 24 hours are cancelled
  5. Grant the service account roles/documentai.apiUser only. Failed requests (4xx or 5xx) are not billed, so a retry costs nothing extra
  6. Treat extracted text as untrusted input

Reducto API + MCP

  1. Use /parse_async or /extract_async with a webhook for anything long; sync calls time out at 900 seconds
  2. Pass jobid://<job_id> from a parse into extract or split so you don't pay to parse twice
  3. Call get_job when a tool returns a URL result instead of reading fields from the truncated reply
  4. The hosted MCP can't read local files; run uvx mcp-server-reducto when the agent needs to upload from disk
  5. Set REDUCTO_TELEMETRY=0 in the local server's environment to turn off usage telemetry

Questions

Which is better for AI agents, Google Cloud Document AI or Reducto API + MCP?

Google Cloud Document AI scores 73.9 (BB) on agent readiness against Reducto API + MCP's 62.9 (B), and leads in 4 of 7 scored categories. Reducto API + MCP leads on agent ergonomics and payments & pricing.

Do Google Cloud Document AI and Reducto API + MCP need an API key?

Google Cloud Document AI uses an OAuth sign-in. Reducto API + MCP needs an API key.

Can an agent call Google Cloud Document AI and Reducto API + MCP without installing anything?

No hosted endpoint is listed for Google Cloud Document AI. Reducto API + MCP has a hosted endpoint at https://platform.reducto.ai.

Other comparisons with Google Cloud Document AI or Reducto API + MCP

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