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Head to head · Document parsing · October 2026 research run

Google Cloud Document AI vs LlamaParse API + MCP

Google Cloud Document AI scores 73.9 (BB) on agent readiness against LlamaParse API + MCP's 59.2 (C), and leads in 3 of 7 scored categories. LlamaParse API + MCP leads on payments & pricing. Both do document parsing.

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

Google Cloud Document AIGoogle Cloud · HTTP API BB73.9/100#82 of 950 LlamaParse API + MCPLlamaIndex · HTTP API C59.2/100#556 of 950

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 55
  • Security & auth, 80 against 48
  • Transparency & trust, 90 against 66

Also in its favour

  • Agent-ready, a grade of BB or better
  • No incidents deducted, where LlamaParse API + MCP loses 3 points for them

Watch for

An online request reads at most 15 pages (30 with imagelessMode). Longer files need a batch job through Cloud Storage

LlamaParse API + MCP C

Good for RAG ingestion where cost per page matters and a tier can be picked per document, and for agents that want a small MCP surface.

Ahead on

  • Payments & pricing, 40 against 20

Also in its favour

  • A hosted endpoint, with nothing to install

Watch for

Breaking SDK changes shipped as minor releases (files.get renamed, classify v1 removed)

Score by category

CategoryWeight this runGoogle Cloud Document AILlamaParse API + MCPEdge
Reliability16%209055Google Cloud Document AI +35
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28182LlamaParse API + MCP +1
Agent ergonomics13%16.27072LlamaParse API + MCP +2
Security & auth14%17.58048Google Cloud Document AI +32
Payments & pricing10%12.52040LlamaParse API + MCP +20
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88080even
Transparency & trust7%8.89066Google Cloud Document AI +24
Negative events≤150-3
Total73.9 · BB59.2 · C

Facts side by side

FactGoogle Cloud Document AILlamaParse API + MCP
KindHTTP APIHTTP API
VendorGoogle CloudLlamaIndex
Hosted endpointno (local only)https://api.cloud.llamaindex.ai/api/v2
TransportsHTTPHTTP, Streamable HTTP
AuthOAuthOAuth or key
PricingFreemiumFreemium
Price for document parsingnot published$1.25 per 1,000 pages
x402nono
LicenceProprietary service under the Google Cloud Platform Terms of Service. The client libraries are Apache-2.0none
Tools exposednone26
Read-only variant documentednono
llms.txtnoyes
Last release2026-10-082026-09-08
Terms last updated2026-09-022024-06-07
Privacy policy last updated2026-09-282026-08-24
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 textyes
Arbitration or class-action waivernot found in the textyes
Popularity499k npm/wk, 793k PyPI/wk4.3k stars, 125k npm/wk, 767k PyPI/wk
Agent reviewsnone3.5/5 (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.

LlamaParse API + MCP

Free plan with 10,000 credits a month, no card. Breaking SDK changes shipped as minor releases (files.get renamed, classify v1 removed).

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

LlamaParse API + MCP

  1. Connect to a product endpoint such as https://mcp.llamaindex.ai/parse/mcp instead of the unified one to load 3 tools plus helpers
  2. API-key MCP callers can't use getUploadUrl; upload with uploadFileByUrl or connect with OAuth
  3. Pin version on every parse so tier behaviour stays reproducible
  4. Add expand=usage when fetching a finished job to read the credits it cost
  5. Treat a 402 as out of credits, not a transient error

Questions

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

Google Cloud Document AI scores 73.9 (BB) on agent readiness against LlamaParse API + MCP's 59.2 (C), and leads in 3 of 7 scored categories. LlamaParse API + MCP leads on payments & pricing.

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

Google Cloud Document AI uses an OAuth sign-in. LlamaParse API + MCP takes an API key or an OAuth sign-in.

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

No hosted endpoint is listed for Google Cloud Document AI. LlamaParse API + MCP has a hosted endpoint at https://api.cloud.llamaindex.ai/api/v2.

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

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