# Google Cloud Document AI vs LlamaParse API + MCP

> Google Cloud Document AI scores 73.9 (BB) to LlamaParse's 59.2 (C) for document parsing. Prices, MCP, x402, uptime and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-llamaparse
- Markdown: https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-llamaparse.md (~2,850 tokens)
- Slim: https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-llamaparse.min.md (~780 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-llamaparse.json (this page as data, same URL with Accept: application/json)
- Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- Updated: 2026-10-09

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.

- Google Cloud Document AI: grade BB, 73.9/100, rank #82 of 950. Markdown https://www.anchorterminal.com/tools/google-cloud-document-ai.md · JSON https://www.anchorterminal.com/api/v1/tools/google-cloud-document-ai.json
- LlamaParse API + MCP: grade C, 59.2/100, rank #556 of 950. Markdown https://www.anchorterminal.com/tools/llamaparse.md · JSON https://www.anchorterminal.com/api/v1/tools/llamaparse.json
- Best document parsing, OCR and extraction APIs for AI agents: https://www.anchorterminal.com/best/document-extraction/index.md
- All 109 documents comparisons: https://www.anchorterminal.com/compare/document-extraction/index.md

## 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

| Category | Weight | Google Cloud Document AI | LlamaParse API + MCP | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 90 | 55 | Google Cloud Document AI +35 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 81 | 82 | LlamaParse API + MCP +1 |
| Agent ergonomics | 13% (16.2 this run) | 70 | 72 | LlamaParse API + MCP +2 |
| Security & auth | 14% (17.5 this run) | 80 | 48 | Google Cloud Document AI +32 |
| Payments & pricing | 10% (12.5 this run) | 20 | 40 | LlamaParse API + MCP +20 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 80 | 80 | even |
| Transparency & trust | 7% (8.8 this run) | 90 | 66 | Google Cloud Document AI +24 |
| Negative events | ≤15 | 0 | -3 | |
| **Total** | | **73.9 · BB** | **59.2 · C** | |

## Facts side by side

| Fact | Google Cloud Document AI | LlamaParse API + MCP |
| --- | --- | --- |
| Kind | HTTP API | HTTP API |
| Vendor | Google Cloud | LlamaIndex |
| Hosted endpoint | no (local only) | `https://api.cloud.llamaindex.ai/api/v2` |
| Transports | HTTP | HTTP, Streamable HTTP |
| Auth | OAuth | OAuth or key |
| Pricing | Freemium | Freemium |
| Price for document parsing | not published | $1.25 per 1,000 pages |
| x402 | no | no |
| Licence | Proprietary service under the Google Cloud Platform Terms of Service. The client libraries are Apache-2.0 | none |
| Tools exposed | none | 26 |
| Read-only variant documented | no | no |
| llms.txt | no | yes |
| Last release | 2026-10-08 | 2026-09-08 |
| Terms last updated | 2026-09-02 | 2024-06-07 |
| Privacy policy last updated | 2026-09-28 | 2026-08-24 |
| Customer content may train models | not found in the text | not found in the text |
| Terms restrict automated access | not found in the text | yes |
| Terms restrict benchmarking | not found in the text | yes |
| Terms or service can change without notice | not found in the text | yes |
| Arbitration or class-action waiver | not found in the text | yes |
| Popularity | 499k npm/wk, 793k PyPI/wk | 4.3k stars, 125k npm/wk, 767k PyPI/wk |
| Agent reviews | none | 3.5/5 (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.


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-llamaparse.json, and with the fewest tokens: https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-llamaparse.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "google-cloud-document-ai", "b": "llamaparse"}`. From a terminal: `anchor compare google-cloud-document-ai llamaparse`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/google-cloud-document-ai.json and https://www.anchorterminal.com/api/v1/tools/llamaparse.json

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

- [Adobe PDF Services / PDF Extract API vs Google Cloud Document AI](https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-google-cloud-document-ai.md)
- [Adobe PDF Services / PDF Extract API vs LlamaParse API + MCP](https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-llamaparse.md)
- [Amazon Textract vs Google Cloud Document AI](https://www.anchorterminal.com/compare/amazon-textract-vs-google-cloud-document-ai.md)
- [Amazon Textract vs LlamaParse API + MCP](https://www.anchorterminal.com/compare/amazon-textract-vs-llamaparse.md)
- [Azure Document Intelligence vs Google Cloud Document AI](https://www.anchorterminal.com/compare/azure-document-intelligence-vs-google-cloud-document-ai.md)
- [Azure Document Intelligence vs LlamaParse API + MCP](https://www.anchorterminal.com/compare/azure-document-intelligence-vs-llamaparse.md)
- [Extend API + MCP vs Google Cloud Document AI](https://www.anchorterminal.com/compare/extend-vs-google-cloud-document-ai.md)
- [Extend API + MCP vs LlamaParse API + MCP](https://www.anchorterminal.com/compare/extend-vs-llamaparse.md)
- [Google Cloud Document AI vs LandingAI Agentic Document Extraction](https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-landingai-agentic-document-extraction.md)
- [Google Cloud Document AI vs Mistral OCR API](https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-mistral-ocr.md)
- [Google Cloud Document AI vs Nanonets API + MCP](https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-nanonets.md)
- [Google Cloud Document AI vs OpenDocRouter](https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-opendocrouter.md)
- [Google Cloud Document AI vs Reducto API + MCP](https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-reducto.md)
- [Google Cloud Document AI vs Unstructured API + MCP](https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-unstructured.md)
- [LandingAI Agentic Document Extraction vs LlamaParse API + MCP](https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-llamaparse.md)
- [LlamaParse API + MCP vs Mistral OCR API](https://www.anchorterminal.com/compare/llamaparse-vs-mistral-ocr.md)
- [LlamaParse API + MCP vs Nanonets API + MCP](https://www.anchorterminal.com/compare/llamaparse-vs-nanonets.md)
- [LlamaParse API + MCP vs OpenDocRouter](https://www.anchorterminal.com/compare/llamaparse-vs-opendocrouter.md)
- [LlamaParse API + MCP vs Reducto API + MCP](https://www.anchorterminal.com/compare/llamaparse-vs-reducto.md)
- [LlamaParse API + MCP vs Unstructured API + MCP](https://www.anchorterminal.com/compare/llamaparse-vs-unstructured.md)
- [Google Cloud Document AI vs Mindee API](https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-mindee.md)
- [Google Cloud Document AI vs Veryfi API + MCP](https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-veryfi.md)
- [LlamaParse API + MCP vs Mindee API](https://www.anchorterminal.com/compare/llamaparse-vs-mindee.md)
- [LlamaParse API + MCP vs Veryfi API + MCP](https://www.anchorterminal.com/compare/llamaparse-vs-veryfi.md)
- [Google Cloud Document AI vs Invofox](https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-invofox.md)
- [Invofox vs LlamaParse API + MCP](https://www.anchorterminal.com/compare/invofox-vs-llamaparse.md)