{ "data": { "a": { "slug": "amazon-textract", "name": "Amazon Textract", "vendor": "Amazon Web Services", "vendorUrl": "https://aws.amazon.com/textract/", "kind": "http-api", "category": "document-extraction", "summary": "Amazon Textract is AWS's document OCR and analysis API. It reads printed and handwritten text from scans and PDFs and returns tables, form fields, layout elements, answers to queries, and invoice, receipt and identity document fields as JSON.", "url": "https://www.anchorterminal.com/tools/amazon-textract", "markdownUrl": "https://www.anchorterminal.com/tools/amazon-textract.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/amazon-textract.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/amazon-textract.json", "repo": "https://github.com/aws/api-models-aws", "license": "Proprietary service under the AWS Customer Agreement. The AWS SDKs and the Textractor helper library are Apache-2.0", "transports": [ "http" ], "remoteUrl": "https://textract.us-east-1.amazonaws.com", "packages": [ { "registry": "npm", "name": "@aws-sdk/client-textract" }, { "registry": "pypi", "name": "boto3" }, { "registry": "pypi", "name": "amazon-textract-textractor" } ], "auth": "api-key", "authNotes": "Requests are signed with AWS Signature Version 4 using IAM credentials, long-lived access keys or temporary credentials from AWS STS. IAM identity policies use the `textract` action prefix, with resource-level permissions for adapters only and no service-specific condition keys. Access is self-serve with an AWS account. Asynchronous jobs read from S3, and completion notices need an SNS topic and an IAM role Textract can assume.", "pricing": "usage", "pricingNotes": "Pay per page with no minimum. In US East (N. Virginia), text detection is $1.50 per 1,000 pages for the first million a month and $0.60 after. Document analysis is $15 for tables, $15 for queries, $50 for forms and $65 for tables with forms. Invoices and receipts are $10, identity documents $25 and the lending workflow $70. New AWS customers get three months of free pages, 1,000 a month for text detection and 100 a month for most analysis, and the Free Tier FAQ says most can sign up without a payment method (https://aws.amazon.com/textract/pricing/, https://aws.amazon.com/free/free-tier-faqs/).", "priceSummary": "$1.50 / 1k pages", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the developer guide, the API model or the pricing page (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": 1871217, "pypiWeekly": 207553, "asOf": "2026-10-08" }, "docsUrl": "https://docs.aws.amazon.com/textract/latest/dg/what-is.html", "llmsTxt": "https://docs.aws.amazon.com/textract/latest/dg/llms.txt", "capabilities": [ "docs.parse", "docs.ocr", "docs.extract", "docs.tables" ], "tags": [ "hosted", "closed-source", "llms-txt", "typescript", "python", "async-jobs", "sla", "enterprise", "usage-priced" ], "lastRelease": "2026-10-08", "graded": true, "anchor": { "graded": true, "score": 73.5, "grade": "BB", "agentReady": true, "rank": 88, "ranked": true, "rankOf": 950, "categoryRank": 2, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 70, "maintenance": 58, "payments": 35, "reliability": 96, "schema": 82, "security": 74, "transparency": 82 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": 0, "verdict": "IAM policies limit a credential to single operations, CloudTrail logs every call, and page prices start at $1.50 per 1,000 in US East. Multipage files need S3 and an asynchronous job. Text detection covers six languages. Under the AWS Service Terms AWS may store and use documents to improve the service unless an AI services opt-out policy is set.", "bestFor": "Teams already on AWS with documents in S3 that need OCR, tables and form fields at volume with IAM and CloudTrail controls, and for US invoices, receipts, identity documents and mortgage packages.", "strengths": [ "IAM policies grant single operations such as `textract:DetectDocumentText`, with temporary credentials, and CloudTrail logs every call without the document bytes or the response", "Text detection costs $1.50 per 1,000 pages in US East (N. Virginia) and $0.60 after a million pages a month, published without a login", "`ClientRequestToken` on the `Start` operations returns the same `JobId` for a repeated call, so a retried submission does not start a second job", "Every block carries a page number, a bounding box, a polygon and a confidence value from 0 to 100", "Amazon Textract SLA of 99.9 per cent monthly uptime per Region, and no Textract event on the AWS Health Dashboard since 10 July 2026" ], "weaknesses": [ "AWS may store and use processed documents to improve the service, in other Regions too, unless an AI services opt-out policy is set on the AWS organisation", "Synchronous calls take one page of at most 10 MB. Multipage PDF and TIFF files must sit in S3 and run as asynchronous jobs", "Text detection covers English, French, German, Italian, Portuguese and Spanish only. Handwriting and queries are English only, and vertical text is not read", "Output is a flat list of JSON blocks linked by ID. No Markdown or plain-text output and no way to leave out word blocks or geometry", "The guide's document history stops at 21 April 2022, and the newest Textract entry in AWS's What's New feed is dated 30 June 2025" ], "agentNotes": [ "Sign with SigV4 for service `textract` at `textract.\u003cregion\u003e.amazonaws.com`, or call `aws textract detect-document-text`. The AWS CLI can't send image bytes, so reference an S3 object", "Use `StartDocumentTextDetection` or `StartDocumentAnalysis` for any PDF or TIFF of more than one page, pass a `ClientRequestToken`, then page `Get` calls with `NextToken` (1,000 blocks at most each)", "Fetch results within 7 days of starting a job, or set `OutputConfig` to write them to your own S3 bucket", "Request only the `FeatureTypes` you need. Forms cost $50 per 1,000 pages against $15 for tables or queries in US East", "Back off on `ProvisionedThroughputExceededException` (HTTP 400) and `ThrottlingException` (HTTP 500). Neither carries Retry-After, and default quotas are 1 call a second in most Regions", "Set the AI services opt-out policy on the AWS organisation before sending customer documents" ], "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": 73.5 } ], "editorialScores": { "ergonomics": 70, "maintenance": 58, "payments": 35, "reliability": 96, "schema": 82, "security": 74, "transparency": 69 }, "provenanceScore": 95 }, "connect": { "install": "pip install boto3 # or: npm i @aws-sdk/client-textract", "http": "aws textract detect-document-text \\\n --document '{\"S3Object\":{\"Bucket\":\"my-bucket\",\"Name\":\"scan.png\"}}' \\\n --region us-east-1" }, "letme": { "capability": "https://letme.dev/docs.parse", "tool": "https://letme.dev/amazon-textract" }, "sameCompany": [ "amazon-bedrock-customization", "agentcore-code-interpreter", "aws-end-user-messaging", "amazon-sns", "amazon-s3", "amazon-eventbridge" ], "area": "web-data", "unitPrices": [ { "item": "Text detection", "unit": "1k-pages", "usd": 1.5, "note": "US East (N. Virginia), first million pages a month. $0.60 after" }, { "item": "Document analysis, tables", "unit": "1k-pages", "usd": 15, "note": "US East (N. Virginia), first million pages. Same price for queries" }, { "item": "Document analysis, forms", "unit": "1k-pages", "usd": 50, "note": "US East (N. Virginia), first million pages. $65 with tables, $70 with tables and queries" }, { "item": "Layout", "unit": "1k-pages", "usd": 4, "note": "US East (N. Virginia). Free alongside forms, tables or queries" }, { "item": "Invoices and receipts", "unit": "1k-pages", "usd": 10, "note": "US East (N. Virginia), first million pages" }, { "item": "Identity documents", "unit": "1k-pages", "usd": 25, "note": "US East (N. Virginia), first 100,000 pages. $10 after" }, { "item": "Lending workflow", "unit": "1k-pages", "usd": 70, "note": "US East (N. Virginia), first million pages" } ], "provenance": { "legalEntity": "Amazon Web Services, Inc.", "domain": "amazonaws.com", "domainRegistered": "2005-08-18", "endpointOnVendorDomain": true, "terms": "https://aws.amazon.com/agreement/", "privacy": "https://aws.amazon.com/privacy/", "statusPage": "https://health.aws.amazon.com/health/status", "changelog": "https://docs.aws.amazon.com/textract/latest/dg/document-history.html", "securityTxt": "expired", "checked": "2026-10-08", "notes": [ "The AWS Customer Agreement (last updated 14 August 2026) governs use of the service, with other AWS entities as contracting party by account country.", "Section 50 of the AWS Service Terms (last updated 1 October 2026) adds terms for AI services and names Amazon Textract. Section 50.3 lets AWS store and use processed content to improve the service unless the customer sets an AI services opt-out policy (https://aws.amazon.com/service-terms/).", "The AWS Privacy Notice (last updated 18 May 2026) says it does not apply to content customers process with AWS services, which the agreement governs.", "https://aws.amazon.com/.well-known/security.txt carries Expires 2026-09-24T16:25:03Z, so it had expired on 8 October 2026.", "The changelog link is the developer guide's document history, whose newest entry is 21 April 2022.", "RDAP for amazonaws.com gives a registration date of 2005-08-18. The API answers at textract.\u003cregion\u003e.amazonaws.com, while product and legal pages sit on aws.amazon.com." ], "score": 95 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/amazon-textract.json", "live": { "slug": "amazon-textract", "probe": { "target": "https://textract.us-east-1.amazonaws.com", "method": "get", "lastAt": "2026-10-10T01:37:42.526516549Z", "lastOk": true, "lastStatus": 404, "lastMs": 333, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 337, "p95ms24h": 412, "samples24h": 186, "samples30d": 186, "days": [ { "date": "2026-10-09", "probes": 169, "ok": 169 }, { "date": "2026-10-10", "probes": 17, "ok": 17 } ] }, "versions": [ { "registry": "npm", "name": "@aws-sdk/client-textract", "version": "3.1148.0", "seenAt": "2026-10-09T16:39:05.632760911Z" }, { "registry": "pypi", "name": "amazon-textract-textractor", "version": "1.10.0", "released": "2026-08-11", "seenAt": "2026-10-09T16:39:06.838521059Z" }, { "registry": "pypi", "name": "boto3", "version": "1.43.110", "released": "2026-10-08", "seenAt": "2026-10-09T16:39:06.513868216Z" } ], "githubStars": 229, "npmWeekly": 1586893, "pypiWeekly": 577963463, "securityTxt": { "url": "https://amazonaws.com/.well-known/security.txt", "state": "expired", "expires": "2026-09-24T16:25:03.000Z", "checkedAt": "2026-10-09T15:40:31.547092582Z" }, "llmsTxt": { "url": "https://docs.aws.amazon.com/textract/latest/dg/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-09T14:01:25.863974195Z" }, "pages": [ { "url": "https://docs.aws.amazon.com/textract/latest/dg/document-history.html", "kind": "changelog", "status": 200, "checkedAt": "2026-10-09T18:36:54.180196303Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "a3e85dbf6ce6" }, { "url": "https://aws.amazon.com/textract/pricing/", "kind": "pricing", "status": 200, "checkedAt": "2026-10-09T18:33:20.084392259Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "209ec890a330" } ], "updatedAt": "2026-10-10T01:37:42.526516549Z" } }, "answer": "Google Cloud Document AI and Amazon Textract score within a point of each other on agent readiness, 73.9 (BB) and 73.5 (BB). Amazon Textract leads on reliability and payments \u0026 pricing.", "b": { "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" } }, "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "Amazon Web Services", "b": "Google Cloud", "name": "Vendor" }, { "a": "https://textract.us-east-1.amazonaws.com", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP", "name": "Transports" }, { "a": "API key", "b": "OAuth", "name": "Auth" }, { "a": "Pay per use", "b": "Freemium", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Proprietary service under the AWS Customer Agreement. The AWS SDKs and the Textractor helper library are Apache-2.0", "b": "Proprietary service under the Google Cloud Platform Terms of Service. The client libraries are Apache-2.0", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "no", "name": "llms.txt" }, { "a": "2026-10-08", "b": "2026-10-08", "name": "Last release" }, { "a": "2026-08-14", "b": "2026-09-02", "name": "Terms last updated" }, { "a": "2026-05-18", "b": "2026-09-28", "name": "Privacy policy last updated" }, { "a": "not found in the text", "b": "not found in the text", "name": "Customer content may train models" }, { "a": "not found in the text", "b": "not found in the text", "name": "Terms restrict automated access" }, { "a": "not found in the text", "b": "not found in the text", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "yes", "b": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "1.9M npm/wk, 208k PyPI/wk", "b": "499k npm/wk, 793k PyPI/wk", "name": "Popularity" } ], "faq": [ { "answer": "Google Cloud Document AI and Amazon Textract score within a point of each other on agent readiness, 73.9 (BB) and 73.5 (BB). Amazon Textract leads on reliability and payments \u0026 pricing.", "question": "Which is better for AI agents, Amazon Textract or Google Cloud Document AI?" }, { "answer": "Amazon Textract needs an API key. Google Cloud Document AI uses an OAuth sign-in.", "question": "Do Amazon Textract and Google Cloud Document AI need an API key?" }, { "answer": "Amazon Textract has a hosted endpoint at https://textract.us-east-1.amazonaws.com. No hosted endpoint is listed for Google Cloud Document AI.", "question": "Can an agent call Amazon Textract and Google Cloud Document AI without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 96 against 90", "Payments \u0026 pricing, 35 against 20" ], "also": [ "A hosted endpoint, with nothing to install" ], "goodFor": "Teams already on AWS with documents in S3 that need OCR, tables and form fields at volume with IAM and CloudTrail controls, and for US invoices, receipts, identity documents and mortgage packages.", "slug": "amazon-textract", "watchFor": "AWS may store and use processed documents to improve the service, in other Regions too, unless an AI services opt-out policy is set on the AWS organisation" }, { "aheadOn": [ "Security \u0026 auth, 80 against 74", "Maintenance \u0026 community, 80 against 58", "Transparency \u0026 trust, 90 against 82" ], "also": null, "goodFor": "Agents already on Google Cloud that need OCR, form and table extraction or chunks for retrieval, with IAM, audit logs and EU processing.", "slug": "google-cloud-document-ai", "watchFor": "An online request reads at most 15 pages (30 with `imagelessMode`). Longer files need a batch job through Cloud Storage" } ], "job": { "capability": "docs.parse", "name": "Document parsing" }, "others": [ { "json": "https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-amazon-textract.json", "title": "Adobe PDF Services / PDF Extract API vs Amazon Textract", "url": "https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-amazon-textract" }, { "json": "https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-google-cloud-document-ai.json", "title": "Adobe PDF Services / PDF Extract API vs Google Cloud Document AI", "url": "https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-google-cloud-document-ai" }, { "json": "https://www.anchorterminal.com/compare/amazon-textract-vs-azure-document-intelligence.json", "title": "Amazon Textract vs Azure Document Intelligence", "url": "https://www.anchorterminal.com/compare/amazon-textract-vs-azure-document-intelligence" }, { "json": "https://www.anchorterminal.com/compare/amazon-textract-vs-extend.json", "title": "Amazon Textract vs Extend API + MCP", "url": "https://www.anchorterminal.com/compare/amazon-textract-vs-extend" }, { "json": "https://www.anchorterminal.com/compare/amazon-textract-vs-landingai-agentic-document-extraction.json", "title": "Amazon Textract vs LandingAI Agentic Document Extraction", "url": "https://www.anchorterminal.com/compare/amazon-textract-vs-landingai-agentic-document-extraction" }, { "json": "https://www.anchorterminal.com/compare/amazon-textract-vs-llamaparse.json", "title": "Amazon Textract vs LlamaParse API + MCP", "url": "https://www.anchorterminal.com/compare/amazon-textract-vs-llamaparse" }, { "json": "https://www.anchorterminal.com/compare/amazon-textract-vs-mistral-ocr.json", "title": "Amazon Textract vs Mistral OCR API", "url": "https://www.anchorterminal.com/compare/amazon-textract-vs-mistral-ocr" }, { "json": "https://www.anchorterminal.com/compare/amazon-textract-vs-nanonets.json", "title": "Amazon Textract vs Nanonets API + MCP", "url": "https://www.anchorterminal.com/compare/amazon-textract-vs-nanonets" }, { "json": "https://www.anchorterminal.com/compare/amazon-textract-vs-opendocrouter.json", "title": "Amazon Textract vs OpenDocRouter", "url": "https://www.anchorterminal.com/compare/amazon-textract-vs-opendocrouter" }, { "json": "https://www.anchorterminal.com/compare/amazon-textract-vs-reducto.json", "title": "Amazon Textract vs Reducto API + MCP", "url": "https://www.anchorterminal.com/compare/amazon-textract-vs-reducto" }, { "json": "https://www.anchorterminal.com/compare/amazon-textract-vs-unstructured.json", "title": "Amazon Textract vs Unstructured API + MCP", "url": "https://www.anchorterminal.com/compare/amazon-textract-vs-unstructured" }, { "json": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-google-cloud-document-ai.json", "title": "Azure Document Intelligence vs Google Cloud Document AI", "url": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-google-cloud-document-ai" }, { "json": "https://www.anchorterminal.com/compare/extend-vs-google-cloud-document-ai.json", "title": "Extend API + MCP vs Google Cloud Document AI", "url": "https://www.anchorterminal.com/compare/extend-vs-google-cloud-document-ai" }, { "json": "https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-landingai-agentic-document-extraction.json", "title": "Google Cloud Document AI vs LandingAI Agentic Document Extraction", "url": "https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-landingai-agentic-document-extraction" }, { "json": "https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-llamaparse.json", "title": "Google Cloud Document AI vs LlamaParse API + MCP", "url": "https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-llamaparse" }, { "json": "https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-mistral-ocr.json", "title": "Google Cloud Document AI vs Mistral OCR API", "url": "https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-mistral-ocr" }, { "json": "https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-nanonets.json", "title": "Google Cloud Document AI vs Nanonets API + MCP", "url": "https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-nanonets" }, { "json": "https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-opendocrouter.json", "title": "Google Cloud Document AI vs OpenDocRouter", "url": "https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-opendocrouter" }, { "json": "https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-reducto.json", "title": "Google Cloud Document AI vs Reducto API + MCP", "url": "https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-reducto" }, { "json": "https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-unstructured.json", "title": "Google Cloud Document AI vs Unstructured API + MCP", "url": "https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-unstructured" }, { "json": "https://www.anchorterminal.com/compare/amazon-textract-vs-mindee.json", "title": "Amazon Textract vs Mindee API", "url": "https://www.anchorterminal.com/compare/amazon-textract-vs-mindee" }, { "json": "https://www.anchorterminal.com/compare/amazon-textract-vs-veryfi.json", "title": "Amazon Textract vs Veryfi API + MCP", "url": "https://www.anchorterminal.com/compare/amazon-textract-vs-veryfi" }, { "json": "https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-mindee.json", "title": "Google Cloud Document AI vs Mindee API", "url": "https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-mindee" }, { "json": "https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-veryfi.json", "title": "Google Cloud Document AI vs Veryfi API + MCP", "url": "https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-veryfi" }, { "json": "https://www.anchorterminal.com/compare/amazon-textract-vs-invofox.json", "title": "Amazon Textract vs Invofox", "url": "https://www.anchorterminal.com/compare/amazon-textract-vs-invofox" }, { "json": "https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-invofox.json", "title": "Google Cloud Document AI vs Invofox", "url": "https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-invofox" } ], "scores": [ { "amazon-textract": 96, "by": 6, "edge": "amazon-textract", "google-cloud-document-ai": 90, "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "amazon-textract": 82, "by": 1, "edge": "amazon-textract", "google-cloud-document-ai": 81, "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "amazon-textract": 70, "by": 0, "edge": "", "google-cloud-document-ai": 70, "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "amazon-textract": 74, "by": 6, "edge": "google-cloud-document-ai", "google-cloud-document-ai": 80, "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "amazon-textract": 35, "by": 15, "edge": "amazon-textract", "google-cloud-document-ai": 20, "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "amazon-textract": 58, "by": 22, "edge": "google-cloud-document-ai", "google-cloud-document-ai": 80, "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "amazon-textract": 82, "by": 8, "edge": "google-cloud-document-ai", "google-cloud-document-ai": 90, "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Google Cloud Document AI and Amazon Textract score within a point of each other on agent readiness, 73.9 (BB) and 73.5 (BB). Amazon Textract leads on reliability and payments \u0026 pricing. Both do document parsing.", "verdicts": { "amazon-textract": "IAM policies limit a credential to single operations, CloudTrail logs every call, and page prices start at $1.50 per 1,000 in US East. Multipage files need S3 and an asynchronous job. Text detection covers six languages. Under the AWS Service Terms AWS may store and use documents to improve the service unless an AI services opt-out policy is set.", "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." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/amazon-textract-vs-google-cloud-document-ai", "json": "https://www.anchorterminal.com/compare/amazon-textract-vs-google-cloud-document-ai.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/amazon-textract-vs-google-cloud-document-ai.md", "slim": "https://www.anchorterminal.com/compare/amazon-textract-vs-google-cloud-document-ai.min.md" }, "markdown": "Google Cloud Document AI and Amazon Textract score within a point of each other on agent readiness, 73.9 (BB) and 73.5 (BB). Amazon Textract leads on reliability and payments \u0026 pricing. Both do document parsing.\n\n- Amazon Textract: grade BB, 73.5/100, rank #88 of 950. Markdown https://www.anchorterminal.com/tools/amazon-textract.md · JSON https://www.anchorterminal.com/api/v1/tools/amazon-textract.json\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- 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### Amazon Textract (BB)\n\nGood for: Teams already on AWS with documents in S3 that need OCR, tables and form fields at volume with IAM and CloudTrail controls, and for US invoices, receipts, identity documents and mortgage packages.\n\nAhead on:\n- Reliability, 96 against 90\n- Payments \u0026 pricing, 35 against 20\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n\nWatch for: AWS may store and use processed documents to improve the service, in other Regions too, unless an AI services opt-out policy is set on the AWS organisation\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- Security \u0026 auth, 80 against 74\n- Maintenance \u0026 community, 80 against 58\n- Transparency \u0026 trust, 90 against 82\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\n## Score by category\n\n| Category | Weight | Amazon Textract | Google Cloud Document AI | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 96 | 90 | Amazon Textract +6 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 82 | 81 | Amazon Textract +1 |\n| Agent ergonomics | 13% (16.2 this run) | 70 | 70 | even |\n| Security \u0026 auth | 14% (17.5 this run) | 74 | 80 | Google Cloud Document AI +6 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 35 | 20 | Amazon Textract +15 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 58 | 80 | Google Cloud Document AI +22 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 82 | 90 | Google Cloud Document AI +8 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **73.5 · BB** | **73.9 · BB** | |\n\n## Facts side by side\n\n| Fact | Amazon Textract | Google Cloud Document AI |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Amazon Web Services | Google Cloud |\n| Hosted endpoint | `https://textract.us-east-1.amazonaws.com` | no (local only) |\n| Transports | HTTP | HTTP |\n| Auth | API key | OAuth |\n| Pricing | Pay per use | Freemium |\n| x402 | no | no |\n| Licence | Proprietary service under the AWS Customer Agreement. The AWS SDKs and the Textractor helper library are Apache-2.0 | Proprietary service under the Google Cloud Platform Terms of Service. The client libraries are Apache-2.0 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| Last release | 2026-10-08 | 2026-10-08 |\n| Terms last updated | 2026-08-14 | 2026-09-02 |\n| Privacy policy last updated | 2026-05-18 | 2026-09-28 |\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 | not found in the text |\n| Terms restrict benchmarking | not found in the text | not found in the text |\n| Terms or service can change without notice | not found in the text | not found in the text |\n| Arbitration or class-action waiver | yes | not found in the text |\n| Popularity | 1.9M npm/wk, 208k PyPI/wk | 499k npm/wk, 793k PyPI/wk |\n\n## Verdicts\n\n**Amazon Textract.** IAM policies limit a credential to single operations, CloudTrail logs every call, and page prices start at $1.50 per 1,000 in US East. Multipage files need S3 and an asynchronous job. Text detection covers six languages. Under the AWS Service Terms AWS may store and use documents to improve the service unless an AI services opt-out policy is set.\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## Before you call either\n\n### Amazon Textract\n\n1. Sign with SigV4 for service `textract` at `textract.\u003cregion\u003e.amazonaws.com`, or call `aws textract detect-document-text`. The AWS CLI can't send image bytes, so reference an S3 object\n2. Use `StartDocumentTextDetection` or `StartDocumentAnalysis` for any PDF or TIFF of more than one page, pass a `ClientRequestToken`, then page `Get` calls with `NextToken` (1,000 blocks at most each)\n3. Fetch results within 7 days of starting a job, or set `OutputConfig` to write them to your own S3 bucket\n4. Request only the `FeatureTypes` you need. Forms cost $50 per 1,000 pages against $15 for tables or queries in US East\n5. Back off on `ProvisionedThroughputExceededException` (HTTP 400) and `ThrottlingException` (HTTP 500). Neither carries Retry-After, and default quotas are 1 call a second in most Regions\n6. Set the AI services opt-out policy on the AWS organisation before sending customer documents\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## Questions\n\n### Which is better for AI agents, Amazon Textract or Google Cloud Document AI?\n\nGoogle Cloud Document AI and Amazon Textract score within a point of each other on agent readiness, 73.9 (BB) and 73.5 (BB). Amazon Textract leads on reliability and payments \u0026 pricing.\n\n### Do Amazon Textract and Google Cloud Document AI need an API key?\n\nAmazon Textract needs an API key. Google Cloud Document AI uses an OAuth sign-in.\n\n### Can an agent call Amazon Textract and Google Cloud Document AI without installing anything?\n\nAmazon Textract has a hosted endpoint at https://textract.us-east-1.amazonaws.com. No hosted endpoint is listed for Google Cloud Document AI.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/amazon-textract-vs-google-cloud-document-ai.json, and with the fewest tokens: https://www.anchorterminal.com/compare/amazon-textract-vs-google-cloud-document-ai.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"amazon-textract\", \"b\": \"google-cloud-document-ai\"}`. From a terminal: `anchor compare amazon-textract google-cloud-document-ai`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/amazon-textract.json and https://www.anchorterminal.com/api/v1/tools/google-cloud-document-ai.json\n\n## Other comparisons with Amazon Textract or Google Cloud Document AI\n\n- [Adobe PDF Services / PDF Extract API vs Amazon Textract](https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-amazon-textract.md)\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- [Amazon Textract vs Azure Document Intelligence](https://www.anchorterminal.com/compare/amazon-textract-vs-azure-document-intelligence.md)\n- [Amazon Textract vs Extend API + MCP](https://www.anchorterminal.com/compare/amazon-textract-vs-extend.md)\n- [Amazon Textract vs LandingAI Agentic Document Extraction](https://www.anchorterminal.com/compare/amazon-textract-vs-landingai-agentic-document-extraction.md)\n- [Amazon Textract vs LlamaParse API + MCP](https://www.anchorterminal.com/compare/amazon-textract-vs-llamaparse.md)\n- [Amazon Textract vs Mistral OCR API](https://www.anchorterminal.com/compare/amazon-textract-vs-mistral-ocr.md)\n- [Amazon Textract vs Nanonets API + MCP](https://www.anchorterminal.com/compare/amazon-textract-vs-nanonets.md)\n- [Amazon Textract vs OpenDocRouter](https://www.anchorterminal.com/compare/amazon-textract-vs-opendocrouter.md)\n- [Amazon Textract vs Reducto API + MCP](https://www.anchorterminal.com/compare/amazon-textract-vs-reducto.md)\n- [Amazon Textract vs Unstructured API + MCP](https://www.anchorterminal.com/compare/amazon-textract-vs-unstructured.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- [Extend API + MCP vs Google Cloud Document AI](https://www.anchorterminal.com/compare/extend-vs-google-cloud-document-ai.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 LlamaParse API + MCP](https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-llamaparse.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- [Amazon Textract vs Mindee API](https://www.anchorterminal.com/compare/amazon-textract-vs-mindee.md)\n- [Amazon Textract vs Veryfi API + MCP](https://www.anchorterminal.com/compare/amazon-textract-vs-veryfi.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- [Amazon Textract vs Invofox](https://www.anchorterminal.com/compare/amazon-textract-vs-invofox.md)\n- [Google Cloud Document AI vs Invofox](https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-invofox.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-10", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Amazon Textract vs Google Cloud Document AI", "url": "" } ], "description": "Google Cloud Document AI and Amazon Textract score within a point of each other for document parsing, 73.9 and 73.5 out of 100. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Amazon Textract BB 73.5", "Google Cloud Document AI BB 73.9", "scores" ], "h1": "Amazon Textract vs Google Cloud Document AI", "image": "https://www.anchorterminal.com/assets/og/compare-amazon-textract-vs-google-cloud-document-ai.png", "path": "/compare/amazon-textract-vs-google-cloud-document-ai", "published": "2026-10-01", "section": "tools", "title": "Amazon Textract vs Google Cloud Document AI for AI agents (2026)", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/amazon-textract-vs-google-cloud-document-ai" }, "tokens": { "markdown": 3000, "slim": 680 }, "version": 1 }