{
  "data": {
    "a": {
      "slug": "google-cloud-document-ai",
      "name": "Google Cloud Document AI",
      "vendor": "Google Cloud",
      "vendorUrl": "https://cloud.google.com/document-ai",
      "kind": "http-api",
      "category": "document-extraction",
      "summary": "Google Cloud's service for OCR, layout parsing, chunking, form and table extraction, classification and splitting of documents. Work runs through processors created per project and location. Access is a REST and gRPC API with client libraries in eight languages.",
      "url": "https://www.anchorterminal.com/tools/google-cloud-document-ai",
      "markdownUrl": "https://www.anchorterminal.com/tools/google-cloud-document-ai.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/google-cloud-document-ai.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/google-cloud-document-ai.json",
      "repo": "https://github.com/googleapis/google-cloud-python/tree/main/packages/google-cloud-documentai",
      "license": "Proprietary service under the Google Cloud Platform Terms of Service. The client libraries are Apache-2.0",
      "transports": [
        "http"
      ],
      "packages": [
        {
          "registry": "pypi",
          "name": "google-cloud-documentai"
        },
        {
          "registry": "npm",
          "name": "@google-cloud/documentai"
        }
      ],
      "auth": "oauth",
      "authNotes": "Access starts with a Google Cloud project that has the Document AI API and billing enabled, all self-serve in the console. Calls take an OAuth 2.0 bearer token from a service account or Application Default Credentials in the `Authorization` header, with the single scope `https://www.googleapis.com/auth/cloud-platform`. IAM decides what the caller can do, through four predefined roles from `roles/documentai.apiUser` (process only) to `roles/documentai.admin`, grantable on a project or one processor. The docs show no API key flow. Three pretrained processors are open to limited access customers only, by request form.",
      "pricing": "freemium",
      "pricingNotes": "Pay as you go per page, with no plan. Enterprise Document OCR is $1.50 per 1,000 pages ($0.60 past 5 million), and the pricing page shows the first 1,000 at $0.00. Layout Parser is $10, Form Parser and Custom Extractor $30 ($20 past a million), Custom Classifier and Splitter $5 ($3 past a million), all per 1,000 pages. Invoice, expense and identity parsers are $0.10 per document of up to 10 pages. A deployed custom processor version costs $0.05 an hour to host. Failed requests are not billed. New customers get $300 of credit for 90 days, and sign-up needs a credit card or other payment method (https://cloud.google.com/document-ai/pricing, https://docs.cloud.google.com/free/docs/free-cloud-features).",
      "priceSummary": "$1.50 / 1k pages",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the docs, the Discovery document or the pricing page (checked 2026-10-09).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": 498819,
        "pypiWeekly": 793248,
        "asOf": "2026-10-09"
      },
      "docsUrl": "https://docs.cloud.google.com/document-ai/docs",
      "openapi": "https://documentai.googleapis.com/$discovery/rest?version=v1",
      "capabilities": [
        "docs.parse",
        "docs.ocr",
        "docs.extract",
        "docs.tables",
        "docs.chunk"
      ],
      "tags": [
        "hosted",
        "freemium",
        "free-tier",
        "closed-source",
        "openapi",
        "oauth",
        "python",
        "typescript",
        "java",
        "dotnet",
        "enterprise",
        "eu",
        "async-jobs",
        "batch",
        "card-required"
      ],
      "lastRelease": "2026-10-08",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 73.9,
        "grade": "BB",
        "agentReady": true,
        "rank": 82,
        "ranked": true,
        "rankOf": 950,
        "categoryRank": 1,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 70,
          "maintenance": 80,
          "payments": 20,
          "reliability": 90,
          "schema": 81,
          "security": 80,
          "transparency": 90
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-09"
        },
        "negative": 0,
        "verdict": "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.",
        "bestFor": "Agents already on Google Cloud that need OCR, form and table extraction or chunks for retrieval, with IAM, audit logs and EU processing.",
        "strengths": [
          "Discovery document for v1 (revision 20260929) with 42 methods and 326 schemas, and descriptions on 952 of 966 properties",
          "`fieldMask`, `imagelessMode` and page selectors on the process request limit what comes back and what is billed",
          "The Document AI API User role allows processing only, roles can be granted on one processor, and process calls write Data Access audit logs once enabled",
          "The security page says online requests are processed in memory and not written to disk, and content is never used to train Document AI models",
          "99.9 per cent monthly uptime SLA for online and batch prediction on the `us` and `eu` multi-region endpoints",
          "Layout Parser returns layout-aware chunks with ancestor headings at $10 per 1,000 pages, and reads PDF, HTML, DOCX, PPTX and XLSX"
        ],
        "weaknesses": [
          "An online request reads at most 15 pages (30 with `imagelessMode`). Longer files need a batch job through Cloud Storage",
          "A processor must be created in a project and location before any document can be sent, and the endpoint host changes with the location",
          "No guidance on retrying quota errors was found on the quotas, limits or request pages, and there is no idempotency key",
          "The $300 trial credit and the free first 1,000 OCR pages both sit on a billing account that needs a card or other payment method",
          "Legacy processor versions were discontinued on 30 June 2026 on a notice dated 17 February 2026, under the six months the version lifecycle page states",
          "No guidance on instructions hidden in document text was found in the pages read",
          "Layout Parser versions built on Gemini 3.0 use a global endpoint and, per the docs, do not meet data residency"
        ],
        "agentNotes": [
          "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`",
          "Use the host that matches the processor's location, `us-documentai.googleapis.com` or `eu-documentai.googleapis.com`",
          "Set `fieldMask` (for example `text,entities`) and `imagelessMode` to keep page images and token geometry out of the response",
          "Send more than 15 pages through `:batchProcess` with Cloud Storage input and output, then poll the operation. Jobs unfinished after 24 hours are cancelled",
          "Grant the service account `roles/documentai.apiUser` only. Failed requests (4xx or 5xx) are not billed, so a retry costs nothing extra",
          "Treat extracted text as untrusted input"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "BB",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 73.9
          }
        ],
        "editorialScores": {
          "ergonomics": 70,
          "maintenance": 80,
          "payments": 20,
          "reliability": 90,
          "schema": 81,
          "security": 80,
          "transparency": 80
        },
        "provenanceScore": 99
      },
      "connect": {
        "install": "pip install --upgrade google-cloud-documentai   # or: npm install @google-cloud/documentai",
        "http": "curl -X POST -H \"Authorization: Bearer $(gcloud auth print-access-token)\" -H \"Content-Type: application/json; charset=utf-8\" -d @request.json \"https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID:process\""
      },
      "letme": {
        "capability": "https://letme.dev/docs.parse",
        "tool": "https://letme.dev/google-cloud-document-ai"
      },
      "sameCompany": [
        "gemini-api",
        "gemini-embedding",
        "vertex-ai-tuning",
        "google-model-armor",
        "google-imagen",
        "google-veo",
        "google-lyria",
        "google-speech-to-text",
        "gemini-live",
        "google-adk",
        "google-secret-manager",
        "google-weather-api",
        "chrome-devtools-mcp",
        "google-maps-platform",
        "google-cloud-translation",
        "google-calendar-api",
        "firebase-cloud-messaging",
        "google-drive-api",
        "gemini-cli",
        "google-search-console",
        "google-ads-api",
        "google-forms",
        "google-sheets-api",
        "gmail-api"
      ],
      "area": "web-data",
      "unitPrices": [
        {
          "item": "Enterprise Document OCR",
          "unit": "1k-pages",
          "usd": 1.5,
          "note": "Up to 5 million pages. $0.60 after. The page shows the first 1,000 at $0.00"
        },
        {
          "item": "OCR add-ons",
          "unit": "1k-pages",
          "usd": 6,
          "note": "On top of the OCR price, Enterprise Document OCR v2 only"
        },
        {
          "item": "Layout Parser",
          "unit": "1k-pages",
          "usd": 10,
          "note": "Includes the first chunking. DOCX and HTML count 3,000 characters as a page"
        },
        {
          "item": "Form Parser",
          "unit": "1k-pages",
          "usd": 30,
          "note": "First million pages. $20 after"
        },
        {
          "item": "Custom Extractor",
          "unit": "1k-pages",
          "usd": 30,
          "note": "First million pages. $20 after. Hosting is $0.05 an hour per deployed version"
        },
        {
          "item": "Custom Classifier or Splitter",
          "unit": "1k-pages",
          "usd": 5,
          "note": "First million pages. $3 after"
        },
        {
          "item": "Invoice, expense or identity parser",
          "unit": "tx",
          "usd": 0.1,
          "note": "Per document of up to 10 pages. Each further 10 pages is another $0.10"
        },
        {
          "item": "Bank statement parser",
          "unit": "tx",
          "usd": 0.75,
          "note": "Per classified document"
        }
      ],
      "provenance": {
        "legalEntity": "Google LLC",
        "domain": "google.com",
        "domainRegistered": "1997-09-15",
        "domainNote": "The endpoints are on googleapis.com, Google's API domain. Docs are on docs.cloud.google.com.",
        "endpointOnVendorDomain": true,
        "terms": "https://cloud.google.com/terms",
        "privacy": "https://cloud.google.com/terms/cloud-privacy-notice",
        "statusPage": "https://status.cloud.google.com",
        "changelog": "https://docs.cloud.google.com/document-ai/docs/release-notes",
        "securityTxt": "valid",
        "checked": "2026-10-09",
        "notes": [
          "The Google Cloud Platform Terms of Service were last modified on 2 September 2026. They set the contracting Google entity by customer region at https://cloud.google.com/terms/google-entity.",
          "The Service Specific Terms (https://cloud.google.com/terms/service-terms, last modified 8 October 2026) carry the training restriction and the benchmarking clause.",
          "The Google Cloud Privacy Notice, effective 28 September 2026, covers Service Data and names Google LLC, 1600 Amphitheatre Parkway. Customer documents fall under the Cloud Data Processing Addendum.",
          "https://www.google.com/.well-known/security.txt shows Expires 2030-04-01 and points to the vulnerability reward programme.",
          "RDAP gives 1997-09-15 for google.com."
        ],
        "score": 99
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/google-cloud-document-ai.json",
      "live": {
        "slug": "google-cloud-document-ai",
        "vendorStatus": {
          "page": "https://status.cloud.google.com",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-10T00:50:37.922164095Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "googleapis/google-cloud-python",
            "version": "google-devicesandservices-health-v0.1.4",
            "released": "2026-10-08",
            "seenAt": "2026-10-09T16:55:32.090616373Z"
          },
          {
            "registry": "npm",
            "name": "@google-cloud/documentai",
            "version": "10.1.1",
            "seenAt": "2026-10-09T16:55:31.078020463Z"
          },
          {
            "registry": "pypi",
            "name": "google-cloud-documentai",
            "version": "3.16.0",
            "released": "2026-10-01",
            "seenAt": "2026-10-09T16:55:30.888054925Z"
          }
        ],
        "githubStars": 5404,
        "npmWeekly": 498819,
        "pypiWeekly": 793248,
        "pages": [
          {
            "url": "https://docs.cloud.google.com/document-ai/docs/release-notes",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-09T18:36:50.7725009Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "e935ad11b444"
          },
          {
            "url": "https://cloud.google.com/document-ai/pricing",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-10-09T18:33:50.823409679Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "cd273ea5fefa"
          },
          {
            "url": "https://cloud.google.com/terms/cloud-privacy-notice",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-09T18:34:03.79726444Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "98f84e10526a"
          },
          {
            "url": "https://cloud.google.com/terms",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-09T18:34:01.379172107Z",
            "changedAt": "2026-10-08T18:16:24.0781454Z",
            "fingerprint": "92f14ada0b50"
          }
        ],
        "updatedAt": "2026-10-10T00:50:37.922164095Z"
      }
    },
    "answer": "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 \u0026 pricing.",
    "b": {
      "slug": "llamaparse",
      "name": "LlamaParse API + MCP",
      "vendor": "LlamaIndex",
      "vendorUrl": "https://www.llamaindex.ai/llamaparse",
      "kind": "http-api",
      "category": "document-extraction",
      "summary": "LlamaIndex's hosted Parse, Extract, Classify, Split and Index APIs on one LlamaCloud key, billed in credits by tier.",
      "url": "https://www.anchorterminal.com/tools/llamaparse",
      "markdownUrl": "https://www.anchorterminal.com/tools/llamaparse.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/llamaparse.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/llamaparse.json",
      "transports": [
        "http",
        "streamable-http"
      ],
      "remoteUrl": "https://api.cloud.llamaindex.ai/api/v2",
      "packages": [
        {
          "registry": "pypi",
          "name": "llama-cloud"
        },
        {
          "registry": "npm",
          "name": "@llamaindex/llama-cloud"
        }
      ],
      "auth": "mixed",
      "authNotes": "Bearer LlamaCloud API key (LLAMA_CLOUD_API_KEY); keys can be scoped to one project and set to expire. The hosted MCP takes OAuth or the same key as a bearer token. EU accounts use api.cloud.eu.llamaindex.ai and mcp.eu.llamaindex.ai, and tokens don't cross regions.",
      "pricing": "freemium",
      "pricingNotes": "Credits cost $1.25 per 1,000. Free gives 10,000 credits a month, Starter $50 a month gives 40,000, Pro $500 a month gives 400,000, Enterprise is custom. Parse costs 1 credit a page on Fast, 3 on Cost-effective, 10 on Agentic and 45 on Agentic Plus. Extract adds 5, 15 or 50 credits a page on top of the parse tier. Paid plans bill overage at the same rate up to a spending cap (https://www.llamaindex.ai/pricing).",
      "priceSummary": "$1.25 / 1k pages",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402 or per-call crypto payment in docs or pricing (checked 2026-09-30).",
        "endpoints": []
      },
      "toolCount": 26,
      "popularity": {
        "githubStars": 4267,
        "npmWeekly": 124970,
        "pypiWeekly": 767328,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://developers.llamaindex.ai/llamaparse/",
      "llmsTxt": "https://developers.llamaindex.ai/llms.txt",
      "openapi": "https://api.cloud.llamaindex.ai/api/openapi.json",
      "capabilities": [
        "docs.parse",
        "docs.ocr",
        "docs.extract",
        "docs.tables",
        "docs.chunk",
        "docs.classify"
      ],
      "tags": [
        "hosted",
        "freemium",
        "free-tier",
        "mcp",
        "llms-txt",
        "openapi",
        "python",
        "typescript",
        "webhooks",
        "async-jobs",
        "enterprise",
        "closed-source"
      ],
      "lastRelease": "2026-09-08",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 59.2,
        "grade": "C",
        "agentReady": false,
        "rank": 556,
        "ranked": true,
        "rankOf": 950,
        "categoryRank": 8,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 72,
          "maintenance": 80,
          "payments": 40,
          "reliability": 55,
          "schema": 82,
          "security": 48,
          "transparency": 66
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": -3,
        "negativeNotes": [
          "2026-08-12 to 2026-09-08. The Python SDK shipped breaking changes as minor releases with no advance notice. 2.14.0 renamed files.get() to files.content(), and 2.16.0 removed the classify v1 job methods. Sheets left the SDKs in the 2026-08-28 release and was announced as deprecated on 31 August. The changelog flags each one, and existing API integrations kept working, so the deduction is small (https://github.com/run-llama/llama-cloud-py/blob/main/CHANGELOG.md, https://developers.llamaindex.ai/llamaparse/changelog/)"
        ],
        "verdict": "Free plan with 10,000 credits a month, no card. Breaking SDK changes shipped as minor releases (files.get renamed, classify v1 removed).",
        "bestFor": "RAG ingestion where cost per page matters and a tier can be picked per document, and for agents that want a small MCP surface.",
        "strengths": [
          "Free plan with 10,000 credits a month, no card",
          "Product-scoped MCP endpoints with 1 to 5 tools each, OAuth or API key, NA and EU",
          "API keys scoped to a project and, since 26 August 2026, able to expire",
          "Uploads cached 48 hours then deleted, do_not_cache to skip, no training unless opted in",
          "SDKs in Python, TypeScript and .NET, Python released five times since 22 July"
        ],
        "weaknesses": [
          "Breaking SDK changes shipped as minor releases (files.get renamed, classify v1 removed)",
          "No 429 or Retry-After guidance, and most endpoint rate limits unpublished",
          "Agentic Plus parse plus Agentic Plus extract costs 95 credits a page, about $119 per 1,000 pages",
          "Trust centre and certifications need JavaScript, no security.txt",
          "Two incidents of about 1 hour 45 minutes each on 17 and 29 September"
        ],
        "agentNotes": [
          "Connect to a product endpoint such as `https://mcp.llamaindex.ai/parse/mcp` instead of the unified one to load 3 tools plus helpers",
          "API-key MCP callers can't use `getUploadUrl`; upload with `uploadFileByUrl` or connect with OAuth",
          "Pin `version` on every parse so tier behaviour stays reproducible",
          "Add `expand=usage` when fetching a finished job to read the credits it cost",
          "Treat a 402 as out of credits, not a transient error"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 3.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "C",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 59.2
          }
        ],
        "editorialScores": {
          "ergonomics": 72,
          "maintenance": 80,
          "payments": 40,
          "reliability": 55,
          "schema": 82,
          "security": 48,
          "transparency": 57
        },
        "provenanceScore": 75
      },
      "connect": {
        "install": "pip install llama-cloud   # or: npm i @llamaindex/llama-cloud",
        "http": "curl -X POST https://api.cloud.llamaindex.ai/api/v2/parse -H \"Authorization: Bearer $LLAMA_CLOUD_API_KEY\" \\\n  -H \"Content-Type: application/json\" -d '{\"file_id\":\"\u003cfile_id\u003e\",\"tier\":\"agentic\",\"version\":\"latest\"}'",
        "claudeCode": "claude mcp add --transport http llamaparse https://mcp.llamaindex.ai/mcp"
      },
      "letme": {
        "capability": "https://letme.dev/docs.parse",
        "tool": "https://letme.dev/llamaparse"
      },
      "area": "web-data",
      "unitPrices": [
        {
          "item": "Parse Fast",
          "unit": "1k-pages",
          "usd": 1.25,
          "note": "1 credit a page"
        },
        {
          "item": "Parse Cost-effective",
          "unit": "1k-pages",
          "usd": 3.75,
          "note": "3 credits a page"
        },
        {
          "item": "Parse Agentic",
          "unit": "1k-pages",
          "usd": 12.5,
          "note": "10 credits a page"
        },
        {
          "item": "Parse Agentic Plus",
          "unit": "1k-pages",
          "usd": 56.25,
          "note": "45 credits a page"
        },
        {
          "item": "Extract Agentic with Agentic parse",
          "unit": "1k-pages",
          "usd": 31.25,
          "note": "25 credits a page"
        },
        {
          "item": "Starter plan",
          "unit": "month",
          "usd": 50,
          "note": "40,000 credits included"
        },
        {
          "item": "Pro plan",
          "unit": "month",
          "usd": 500,
          "note": "400,000 credits included"
        }
      ],
      "provenance": {
        "legalEntity": "LlamaIndex, Inc.",
        "domain": "llamaindex.ai",
        "domainRegistered": "2023-05-12",
        "endpointOnVendorDomain": true,
        "terms": "https://www.llamaindex.ai/terms-of-service",
        "privacy": "https://www.llamaindex.ai/privacy-policy",
        "statusPage": "https://llamaindex.statuspage.io",
        "changelog": "https://developers.llamaindex.ai/llamaparse/changelog/",
        "securityTxt": "none",
        "checked": "2026-09-30",
        "score": 75
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/llamaparse.json",
      "live": {
        "slug": "llamaparse",
        "probe": {
          "target": "https://api.cloud.llamaindex.ai/api/v2",
          "method": "get",
          "lastAt": "2026-10-10T01:37:56.86966507Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 276,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 265,
          "p95ms24h": 347,
          "samples24h": 250,
          "samples30d": 2453,
          "days": [
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              "probes": 35,
              "ok": 35
            },
            {
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              "probes": 276,
              "ok": 276
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        "question": "Which is better for AI agents, Google Cloud Document AI or LlamaParse API + MCP?"
      },
      {
        "answer": "Google Cloud Document AI uses an OAuth sign-in. LlamaParse API + MCP takes an API key or an OAuth sign-in.",
        "question": "Do Google Cloud Document AI and LlamaParse API + MCP need an API key?"
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        "question": "Can an agent call Google Cloud Document AI and LlamaParse API + MCP without installing anything?"
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    "scores": [
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        "edge": "google-cloud-document-ai",
        "google-cloud-document-ai": 90,
        "key": "reliability",
        "llamaparse": 55,
        "name": "Reliability",
        "weight": 16
      },
      {
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        "name": "Performance",
        "pending": true,
        "weight": 10
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      {
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        "google-cloud-document-ai": 81,
        "key": "schema",
        "llamaparse": 82,
        "name": "Schema \u0026 documentation",
        "weight": 13
      },
      {
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        "edge": "llamaparse",
        "google-cloud-document-ai": 70,
        "key": "ergonomics",
        "llamaparse": 72,
        "name": "Agent ergonomics",
        "weight": 13
      },
      {
        "by": 32,
        "edge": "google-cloud-document-ai",
        "google-cloud-document-ai": 80,
        "key": "security",
        "llamaparse": 48,
        "name": "Security \u0026 auth",
        "weight": 14
      },
      {
        "by": 20,
        "edge": "llamaparse",
        "google-cloud-document-ai": 20,
        "key": "payments",
        "llamaparse": 40,
        "name": "Payments \u0026 pricing",
        "weight": 10
      },
      {
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        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
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        "edge": "",
        "google-cloud-document-ai": 80,
        "key": "maintenance",
        "llamaparse": 80,
        "name": "Maintenance \u0026 community",
        "weight": 7
      },
      {
        "by": 24,
        "edge": "google-cloud-document-ai",
        "google-cloud-document-ai": 90,
        "key": "transparency",
        "llamaparse": 66,
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
    ],
    "summary": "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 \u0026 pricing. Both do document parsing.",
    "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": "Free plan with 10,000 credits a month, no card. Breaking SDK changes shipped as minor releases (files.get renamed, classify v1 removed)."
    }
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  "markdown": "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 \u0026 pricing. Both do document parsing.\n\n- 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\n- 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\n- Best document parsing, OCR and extraction APIs for AI agents: https://www.anchorterminal.com/best/document-extraction/index.md\n- All 109 documents comparisons: https://www.anchorterminal.com/compare/document-extraction/index.md\n\n## Which one, for what\n\n### Google Cloud Document AI (BB)\n\nGood for: Agents already on Google Cloud that need OCR, form and table extraction or chunks for retrieval, with IAM, audit logs and EU processing.\n\nAhead on:\n- Reliability, 90 against 55\n- Security \u0026 auth, 80 against 48\n- Transparency \u0026 trust, 90 against 66\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n- No incidents deducted, where LlamaParse API + MCP loses 3 points for them\n\nWatch for: An online request reads at most 15 pages (30 with `imagelessMode`). Longer files need a batch job through Cloud Storage\n\n### LlamaParse API + MCP (C)\n\nGood 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.\n\nAhead on:\n- Payments \u0026 pricing, 40 against 20\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n\nWatch for: Breaking SDK changes shipped as minor releases (files.get renamed, classify v1 removed)\n\n\n## Score by category\n\n| Category | Weight | Google Cloud Document AI | LlamaParse API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 90 | 55 | Google Cloud Document AI +35 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 81 | 82 | LlamaParse API + MCP +1 |\n| Agent ergonomics | 13% (16.2 this run) | 70 | 72 | LlamaParse API + MCP +2 |\n| Security \u0026 auth | 14% (17.5 this run) | 80 | 48 | Google Cloud Document AI +32 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 40 | LlamaParse API + MCP +20 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 80 | 80 | even |\n| Transparency \u0026 trust | 7% (8.8 this run) | 90 | 66 | Google Cloud Document AI +24 |\n| Negative events | ≤15 | 0 | -3 | |\n| **Total** | | **73.9 · BB** | **59.2 · C** | |\n\n## Facts side by side\n\n| Fact | Google Cloud Document AI | LlamaParse API + MCP |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Google Cloud | LlamaIndex |\n| Hosted endpoint | no (local only) | `https://api.cloud.llamaindex.ai/api/v2` |\n| Transports | HTTP | HTTP, Streamable HTTP |\n| Auth | OAuth | OAuth or key |\n| Pricing | Freemium | Freemium |\n| Price for document parsing | not published | $1.25 per 1,000 pages |\n| x402 | no | no |\n| Licence | Proprietary service under the Google Cloud Platform Terms of Service. The client libraries are Apache-2.0 | none |\n| Tools exposed | none | 26 |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| Last release | 2026-10-08 | 2026-09-08 |\n| Terms last updated | 2026-09-02 | 2024-06-07 |\n| Privacy policy last updated | 2026-09-28 | 2026-08-24 |\n| Customer content may train models | not found in the text | not found in the text |\n| Terms restrict automated access | not found in the text | yes |\n| Terms restrict benchmarking | not found in the text | yes |\n| Terms or service can change without notice | not found in the text | yes |\n| Arbitration or class-action waiver | not found in the text | yes |\n| Popularity | 499k npm/wk, 793k PyPI/wk | 4.3k stars, 125k npm/wk, 767k PyPI/wk |\n| Agent reviews | none | 3.5/5 (2) |\n\n## Verdicts\n\n**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.\n\n**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).\n\n## Before you call either\n\n### Google Cloud Document AI\n\n1. 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`\n2. Use the host that matches the processor's location, `us-documentai.googleapis.com` or `eu-documentai.googleapis.com`\n3. Set `fieldMask` (for example `text,entities`) and `imagelessMode` to keep page images and token geometry out of the response\n4. Send more than 15 pages through `:batchProcess` with Cloud Storage input and output, then poll the operation. Jobs unfinished after 24 hours are cancelled\n5. Grant the service account `roles/documentai.apiUser` only. Failed requests (4xx or 5xx) are not billed, so a retry costs nothing extra\n6. Treat extracted text as untrusted input\n\n### LlamaParse API + MCP\n\n1. Connect to a product endpoint such as `https://mcp.llamaindex.ai/parse/mcp` instead of the unified one to load 3 tools plus helpers\n2. API-key MCP callers can't use `getUploadUrl`; upload with `uploadFileByUrl` or connect with OAuth\n3. Pin `version` on every parse so tier behaviour stays reproducible\n4. Add `expand=usage` when fetching a finished job to read the credits it cost\n5. Treat a 402 as out of credits, not a transient error\n\n## Questions\n\n### Which is better for AI agents, Google Cloud Document AI or LlamaParse API + MCP?\n\nGoogle 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 \u0026 pricing.\n\n### Do Google Cloud Document AI and LlamaParse API + MCP need an API key?\n\nGoogle Cloud Document AI uses an OAuth sign-in. LlamaParse API + MCP takes an API key or an OAuth sign-in.\n\n### Can an agent call Google Cloud Document AI and LlamaParse API + MCP without installing anything?\n\nNo hosted endpoint is listed for Google Cloud Document AI. LlamaParse API + MCP has a hosted endpoint at https://api.cloud.llamaindex.ai/api/v2.\n\n\n## For agents\n\n- 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\n- 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`\n- 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\n\n## Other comparisons with Google Cloud Document AI or LlamaParse API + MCP\n\n- [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)\n- [Adobe PDF Services / PDF Extract API vs LlamaParse API + MCP](https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-llamaparse.md)\n- [Amazon Textract vs Google Cloud Document AI](https://www.anchorterminal.com/compare/amazon-textract-vs-google-cloud-document-ai.md)\n- [Amazon Textract vs LlamaParse API + MCP](https://www.anchorterminal.com/compare/amazon-textract-vs-llamaparse.md)\n- [Azure Document Intelligence vs Google Cloud Document AI](https://www.anchorterminal.com/compare/azure-document-intelligence-vs-google-cloud-document-ai.md)\n- [Azure Document Intelligence vs LlamaParse API + MCP](https://www.anchorterminal.com/compare/azure-document-intelligence-vs-llamaparse.md)\n- [Extend API + MCP vs Google Cloud Document AI](https://www.anchorterminal.com/compare/extend-vs-google-cloud-document-ai.md)\n- [Extend API + MCP vs LlamaParse API + MCP](https://www.anchorterminal.com/compare/extend-vs-llamaparse.md)\n- [Google Cloud Document AI vs LandingAI Agentic Document Extraction](https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-landingai-agentic-document-extraction.md)\n- [Google Cloud Document AI vs Mistral OCR API](https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-mistral-ocr.md)\n- [Google Cloud Document AI vs Nanonets API + MCP](https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-nanonets.md)\n- [Google Cloud Document AI vs OpenDocRouter](https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-opendocrouter.md)\n- [Google Cloud Document AI vs Reducto API + MCP](https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-reducto.md)\n- [Google Cloud Document AI vs Unstructured API + MCP](https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-unstructured.md)\n- [LandingAI Agentic Document Extraction vs LlamaParse API + MCP](https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-llamaparse.md)\n- [LlamaParse API + MCP vs Mistral OCR API](https://www.anchorterminal.com/compare/llamaparse-vs-mistral-ocr.md)\n- [LlamaParse API + MCP vs Nanonets API + MCP](https://www.anchorterminal.com/compare/llamaparse-vs-nanonets.md)\n- [LlamaParse API + MCP vs OpenDocRouter](https://www.anchorterminal.com/compare/llamaparse-vs-opendocrouter.md)\n- [LlamaParse API + MCP vs Reducto API + MCP](https://www.anchorterminal.com/compare/llamaparse-vs-reducto.md)\n- [LlamaParse API + MCP vs Unstructured API + MCP](https://www.anchorterminal.com/compare/llamaparse-vs-unstructured.md)\n- [Google Cloud Document AI vs Mindee API](https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-mindee.md)\n- [Google Cloud Document AI vs Veryfi API + MCP](https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-veryfi.md)\n- [LlamaParse API + MCP vs Mindee API](https://www.anchorterminal.com/compare/llamaparse-vs-mindee.md)\n- [LlamaParse API + MCP vs Veryfi API + MCP](https://www.anchorterminal.com/compare/llamaparse-vs-veryfi.md)\n- [Google Cloud Document AI vs Invofox](https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-invofox.md)\n- [Invofox vs LlamaParse API + MCP](https://www.anchorterminal.com/compare/invofox-vs-llamaparse.md)\n",
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