{ "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": 85, "ranked": true, "rankOf": 842, "categoryRank": 1, "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" ], "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": "2026-10-09T10:42:35.439819784Z", "lastOk": true, "lastStatus": 404, "lastMs": 370, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 332, "p95ms24h": 387, "samples24h": 33, "samples30d": 33, "days": [ { "date": "2026-10-09", "probes": 33, "ok": 33 } ] }, "updatedAt": "2026-10-09T10:42:35.439819784Z" } }, "answer": "Amazon Textract scores 73.5 (BB) on agent readiness against Azure Document Intelligence's 66 (B), and leads in 6 of 7 scored categories.", "b": { "slug": "azure-document-intelligence", "name": "Azure Document Intelligence", "vendor": "Microsoft Azure", "vendorUrl": "https://azure.microsoft.com/en-us/products/ai-services/ai-document-intelligence", "kind": "http-api", "category": "document-extraction", "summary": "Microsoft's Azure service for OCR, layout analysis and field extraction from PDFs, images and Office files. It has prebuilt models for invoices, receipts, identity and tax documents, and custom models. Access is a REST API with four SDKs.", "url": "https://www.anchorterminal.com/tools/azure-document-intelligence", "markdownUrl": "https://www.anchorterminal.com/tools/azure-document-intelligence.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/azure-document-intelligence.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/azure-document-intelligence.json", "repo": "https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/documentintelligence", "license": "Proprietary service under Microsoft's Product Terms. The client libraries are MIT", "transports": [ "http" ], "packages": [ { "registry": "pypi", "name": "azure-ai-documentintelligence" }, { "registry": "npm", "name": "@azure-rest/ai-document-intelligence" } ], "auth": "mixed", "authNotes": "Access starts with an Azure subscription and a Document Intelligence or Foundry resource created in the portal, CLI or Resource Manager, all self-serve. Calls take one of the resource's two keys in the `Ocp-Apim-Subscription-Key` header, or a Microsoft Entra ID bearer token for the scope `https://cognitiveservices.azure.com/.default`. Entra ID access is granted with Azure RBAC (the Foundry Tools auth page names the Cognitive Services User role) and works with managed identities. No query-string key is documented for this API.", "pricing": "freemium", "pricingNotes": "Free F0 tier with 500 pages a month, limited to the first two pages of each request, on an Azure account that needs a card and a phone number (https://azure.microsoft.com/en-us/pricing/details/document-intelligence/, https://azure.microsoft.com/en-us/pricing/purchase-options/azure-account). Pay as you go (S0) in East US is $1.50 per 1,000 pages for read ($0.60 after a million), $10 for prebuilt models and layout, $30 for custom extraction, $3 for classification, $6 for add-ons and $10 for query fields. Neural model training is $3 an hour after the free allowance. Commitment tiers start at $190 a month for 20,000 prebuilt pages. Prices are from the Azure Retail Prices API, since the pricing page fills its numbers by script (https://prices.azure.com/api/retail/prices?$filter=serviceName%20eq%20%27Foundry%20Tools%27%20and%20armRegionName%20eq%20%27eastus%27%20and%20contains(productName,%27Document%20Intelligence%27)).", "priceSummary": "$1.50 / 1k pages", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs, the OpenAPI document or the pricing page (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": 385681, "pypiWeekly": 2142341, "asOf": "2026-10-08" }, "docsUrl": "https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/", "openapi": "https://github.com/Azure/azure-rest-api-specs/blob/main/specification/ai/data-plane/DocumentIntelligence/stable/2024-11-30/DocumentIntelligence.json", "capabilities": [ "docs.parse", "docs.ocr", "docs.extract", "docs.tables" ], "tags": [ "hosted", "freemium", "free-tier", "closed-source", "openapi", "oauth", "python", "typescript", "java", "dotnet", "enterprise", "async-jobs", "batch", "card-required" ], "lastRelease": "2026-10-06", "graded": true, "anchor": { "graded": true, "score": 66, "grade": "B", "agentReady": false, "rank": 280, "ranked": true, "rankOf": 842, "categoryRank": 2, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 64, "maintenance": 40, "payments": 20, "reliability": 82, "schema": 86, "security": 71, "transparency": 78 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": 0, "verdict": "A public OpenAPI document with 27 operations, Markdown output from the layout model, Microsoft Entra ID or header-only keys, and 24-hour retention with a delete call. Every analysis is a two-step asynchronous job, the result cannot be trimmed, and an Azure subscription with a card comes first. Three of the four SDKs last shipped in 2025 or earlier.", "bestFor": "Teams already on Azure that want OCR, layout to Markdown and prebuilt invoice, receipt, identity and tax models with Entra ID and regional processing.", "strengths": [ "OpenAPI 2.0 document for version 2024-11-30 in Microsoft's public spec repository, 27 operations, each with an example", "The layout model returns Markdown with headings and tables when `outputContentFormat=markdown` is set, and reads PDF, images, DOCX, XLSX, PPTX and HTML", "Input and results are deleted 24 hours after an analysis completes, and a delete call removes them sooner", "Microsoft Entra ID tokens with managed identities, or resource keys sent only in the `Ocp-Apim-Subscription-Key` header", "Dated retirements, 15 September 2027 for v2.1 (announced 15 September 2024) and 30 March 2029 for v3.0" ], "weaknesses": [ "Every analysis is asynchronous. A POST returns 202 with `Operation-Location`, and the caller polls for the result", "The result carries every word and line with polygons, with no parameter to leave them out. Only `pages` narrows it", "No idempotency key. Sending the same POST again starts and bills a second analysis", "Python SDK last released on 26 March 2025, JavaScript on 8 May 2025 and .NET on 16 December 2024. Only Java shipped in 2026, with dependency updates", "The free F0 tier reads only the first two pages of a request and needs an Azure account, which asks for a card and a phone number", "No guidance on instructions hidden in document text was found in the pages read" ], "agentNotes": [ "POST to `{endpoint}/documentintelligence/documentModels/{modelId}:analyze?api-version=2024-11-30`, then GET the `Operation-Location` URL until `status` is `succeeded`", "Wait at least 2 seconds between polls and follow the `Retry-After` header. Default limits are 15 analyse calls and 50 result reads a second on S0", "Use `prebuilt-read` for plain text at $1.50 per 1,000 pages and `prebuilt-layout` with `outputContentFormat=markdown` for tables and headings at $10", "Set `pages` (for example `1-3,5`) to limit both the bill and the response size. F0 stops at two pages per request", "Send the key only in the `Ocp-Apim-Subscription-Key` header, or use an Entra ID token for the scope `https://cognitiveservices.azure.com/.default`", "Treat extracted text as untrusted input. Results expire 24 hours after the job completes" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 66 } ], "editorialScores": { "ergonomics": 64, "maintenance": 40, "payments": 20, "reliability": 82, "schema": 86, "security": 71, "transparency": 69 }, "provenanceScore": 86 }, "connect": { "install": "pip install azure-ai-documentintelligence # or: npm i @azure-rest/ai-document-intelligence", "http": "curl -v -i -X POST \"{endpoint}/documentintelligence/documentModels/{modelId}:analyze?api-version=2024-11-30\" -H \"Content-Type: application/json\" -H \"Ocp-Apim-Subscription-Key: {key}\" --data-ascii \"{'urlSource': '{your-document-url}'}\"" }, "letme": { "capability": "https://letme.dev/docs.parse", "tool": "https://letme.dev/azure-document-intelligence" }, "sameCompany": [ "azure-foundry-fine-tuning", "azure-ai-content-safety", "azure-speech-to-text", "azure-text-to-speech", "microsoft-agent-framework", "microsoft-execution-containers", "microsoft-entra-agent-id", "azure-key-vault", "azure-devops-mcp", "microsoft-learn-mcp", "playwright-mcp", "azure-mcp", "azure-maps", "azure-translator", "microsoft-graph-calendar", "azure-blob-storage", "onedrive-sharepoint", "microsoft-teams", "dynamics-365-sales", "power-automate", "foundry-local", "microsoft-advertising-api", "microsoft-excel-graph", "outlook-mail-graph" ], "area": "web-data", "unitPrices": [ { "item": "Read (OCR)", "unit": "1k-pages", "usd": 1.5, "note": "East US, S0, first million pages a month. $0.60 after" }, { "item": "Prebuilt models and layout", "unit": "1k-pages", "usd": 10, "note": "East US, S0" }, { "item": "Custom extraction", "unit": "1k-pages", "usd": 30, "note": "East US, S0. Same price for custom generative extraction" }, { "item": "Custom classification", "unit": "1k-pages", "usd": 3, "note": "East US, S0" }, { "item": "Add-ons (high resolution, fonts, formulas)", "unit": "1k-pages", "usd": 6, "note": "East US, S0, on top of the model price" }, { "item": "Query fields", "unit": "1k-pages", "usd": 10, "note": "East US, S0, on top of the model price" }, { "item": "Commitment, prebuilt 20,000 pages", "unit": "month", "usd": 190, "note": "East US. $9.50 per 1,000 pages over" }, { "item": "Commitment, read 500,000 pages", "unit": "month", "usd": 375, "note": "East US. $0.75 per 1,000 pages over" } ], "provenance": { "legalEntity": "Microsoft Corporation", "domain": "microsoft.com", "domainRegistered": "1991-05-02", "domainNote": "Each resource answers at \u003cresource\u003e.cognitiveservices.azure.com, a Microsoft domain (azure.com, registered 1994-10-25). Docs are on learn.microsoft.com.", "endpointOnVendorDomain": true, "terms": "https://www.microsoft.com/licensing/terms/product/ForOnlineServices/all", "privacy": "https://www.microsoft.com/en-us/privacy/privacystatement", "statusPage": "https://azure.status.microsoft/en-us/status", "changelog": "https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/whats-new", "securityTxt": "expired", "checked": "2026-10-08", "notes": [ "The Product Terms for Online Services cover Microsoft Azure and link the Data Protection Addendum (aka.ms/DPA) and the SLA (aka.ms/CSLA). They do not name Document Intelligence. Their training clause covers Microsoft Generative AI Services only.", "The privacy statement (last updated September 2026) names Microsoft Corporation, One Microsoft Way, Redmond, Washington 98052, and Microsoft Ireland Operations Limited in Dublin. It says a customer's agreement for enterprise and developer products controls where the two conflict.", "https://www.microsoft.com/.well-known/security.txt shows Expires 2026-09-23T16:00:00.000Z. It points to the MSRC researcher portal, the bounty policy and the coordinated disclosure policy.", "RDAP gives 1991-05-02 for microsoft.com and 1994-10-25 for azure.com.", "The what's new page is dated 11 June 2026 and its newest entry is March 2026.", "Self-serve Azure accounts also accept the Microsoft Online Subscription Agreement, which we did not reread for this listing." ], "score": 86 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/azure-document-intelligence.json" }, "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "Amazon Web Services", "b": "Microsoft Azure", "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 or key", "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 Microsoft's Product Terms. The client libraries are MIT", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "no", "name": "llms.txt" }, { "a": "2026-10-08", "b": "2026-10-06", "name": "Last release" }, { "a": "2026-08-14", "b": "no date given", "name": "Terms last updated" }, { "a": "2026-05-18", "b": "2026-09-01", "name": "Privacy policy last updated" }, { "a": "not found in the text", "b": "yes", "name": "Customer content may train models" }, { "a": "not found in the text", "b": "yes", "name": "Terms restrict automated access" }, { "a": "not found in the text", "b": "yes", "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": "386k npm/wk, 2.1M PyPI/wk", "name": "Popularity" } ], "faq": [ { "answer": "Amazon Textract scores 73.5 (BB) on agent readiness against Azure Document Intelligence's 66 (B), and leads in 6 of 7 scored categories.", "question": "Which is better for AI agents, Amazon Textract or Azure Document Intelligence?" }, { "answer": "Amazon Textract needs an API key. Azure Document Intelligence takes an API key or an OAuth sign-in.", "question": "Do Amazon Textract and Azure Document Intelligence 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 Azure Document Intelligence.", "question": "Can an agent call Amazon Textract and Azure Document Intelligence without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 96 against 82", "Agent ergonomics, 70 against 64", "Payments \u0026 pricing, 35 against 20", "Maintenance \u0026 community, 58 against 40" ], "also": [ "Agent-ready, a grade of BB or better", "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": null, "also": null, "goodFor": "Teams already on Azure that want OCR, layout to Markdown and prebuilt invoice, receipt, identity and tax models with Entra ID and regional processing.", "slug": "azure-document-intelligence", "watchFor": "Every analysis is asynchronous. A POST returns 202 with `Operation-Location`, and the caller polls for the result" } ], "job": { "capability": "docs.parse", "name": "Docs parse" }, "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-azure-document-intelligence.json", "title": "Adobe PDF Services / PDF Extract API vs Azure Document Intelligence", "url": "https://www.anchorterminal.com/compare/adobe-pdf-extract-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-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-extend.json", "title": "Azure Document Intelligence vs Extend API + MCP", "url": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-extend" }, { "json": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-llamaparse.json", "title": "Azure Document Intelligence vs LlamaParse API + MCP", "url": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-llamaparse" }, { "json": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-mistral-ocr.json", "title": "Azure Document Intelligence vs Mistral OCR API", "url": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-mistral-ocr" }, { "json": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-nanonets.json", "title": "Azure Document Intelligence vs Nanonets API + MCP", "url": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-nanonets" }, { "json": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-opendocrouter.json", "title": "Azure Document Intelligence vs OpenDocRouter", "url": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-opendocrouter" }, { "json": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-reducto.json", "title": "Azure Document Intelligence vs Reducto API + MCP", "url": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-reducto" }, { "json": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-unstructured.json", "title": "Azure Document Intelligence vs Unstructured API + MCP", "url": "https://www.anchorterminal.com/compare/azure-document-intelligence-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/azure-document-intelligence-vs-mindee.json", "title": "Azure Document Intelligence vs Mindee API", "url": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-mindee" }, { "json": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-veryfi.json", "title": "Azure Document Intelligence vs Veryfi API + MCP", "url": "https://www.anchorterminal.com/compare/azure-document-intelligence-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/azure-document-intelligence-vs-invofox.json", "title": "Azure Document Intelligence vs Invofox", "url": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-invofox" } ], "scores": [ { "amazon-textract": 96, "azure-document-intelligence": 82, "by": 14, "edge": "amazon-textract", "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "amazon-textract": 82, "azure-document-intelligence": 86, "by": 4, "edge": "azure-document-intelligence", "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "amazon-textract": 70, "azure-document-intelligence": 64, "by": 6, "edge": "amazon-textract", "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "amazon-textract": 74, "azure-document-intelligence": 71, "by": 3, "edge": "amazon-textract", "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "amazon-textract": 35, "azure-document-intelligence": 20, "by": 15, "edge": "amazon-textract", "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "amazon-textract": 58, "azure-document-intelligence": 40, "by": 18, "edge": "amazon-textract", "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "amazon-textract": 82, "azure-document-intelligence": 78, "by": 4, "edge": "amazon-textract", "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Amazon Textract scores 73.5 (BB) on agent readiness against Azure Document Intelligence's 66 (B), and leads in 6 of 7 scored categories. Both do docs parse.", "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.", "azure-document-intelligence": "A public OpenAPI document with 27 operations, Markdown output from the layout model, Microsoft Entra ID or header-only keys, and 24-hour retention with a delete call. Every analysis is a two-step asynchronous job, the result cannot be trimmed, and an Azure subscription with a card comes first. Three of the four SDKs last shipped in 2025 or earlier." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/amazon-textract-vs-azure-document-intelligence", "json": "https://www.anchorterminal.com/compare/amazon-textract-vs-azure-document-intelligence.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/amazon-textract-vs-azure-document-intelligence.md", "slim": "https://www.anchorterminal.com/compare/amazon-textract-vs-azure-document-intelligence.min.md" }, "markdown": "Amazon Textract scores 73.5 (BB) on agent readiness against Azure Document Intelligence's 66 (B), and leads in 6 of 7 scored categories. Both do docs parse.\n\n- Amazon Textract: grade BB, 73.5/100, rank #85 of 842. Markdown https://www.anchorterminal.com/tools/amazon-textract.md · JSON https://www.anchorterminal.com/api/v1/tools/amazon-textract.json\n- Azure Document Intelligence: grade B, 66/100, rank #280 of 842. Markdown https://www.anchorterminal.com/tools/azure-document-intelligence.md · JSON https://www.anchorterminal.com/api/v1/tools/azure-document-intelligence.json\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 82\n- Agent ergonomics, 70 against 64\n- Payments \u0026 pricing, 35 against 20\n- Maintenance \u0026 community, 58 against 40\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\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### Azure Document Intelligence (B)\n\nGood for: Teams already on Azure that want OCR, layout to Markdown and prebuilt invoice, receipt, identity and tax models with Entra ID and regional processing.\n\nWatch for: Every analysis is asynchronous. A POST returns 202 with `Operation-Location`, and the caller polls for the result\n\n\n## Score by category\n\n| Category | Weight | Amazon Textract | Azure Document Intelligence | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 96 | 82 | Amazon Textract +14 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 82 | 86 | Azure Document Intelligence +4 |\n| Agent ergonomics | 13% (16.2 this run) | 70 | 64 | Amazon Textract +6 |\n| Security \u0026 auth | 14% (17.5 this run) | 74 | 71 | Amazon Textract +3 |\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 | 40 | Amazon Textract +18 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 82 | 78 | Amazon Textract +4 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **73.5 · BB** | **66 · B** | |\n\n## Facts side by side\n\n| Fact | Amazon Textract | Azure Document Intelligence |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Amazon Web Services | Microsoft Azure |\n| Hosted endpoint | `https://textract.us-east-1.amazonaws.com` | no (local only) |\n| Transports | HTTP | HTTP |\n| Auth | API key | OAuth or key |\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 Microsoft's Product Terms. The client libraries are MIT |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| Last release | 2026-10-08 | 2026-10-06 |\n| Terms last updated | 2026-08-14 | no date given |\n| Privacy policy last updated | 2026-05-18 | 2026-09-01 |\n| Customer content may train models | not found in the text | yes |\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 | 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 | 386k npm/wk, 2.1M 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**Azure Document Intelligence.** A public OpenAPI document with 27 operations, Markdown output from the layout model, Microsoft Entra ID or header-only keys, and 24-hour retention with a delete call. Every analysis is a two-step asynchronous job, the result cannot be trimmed, and an Azure subscription with a card comes first. Three of the four SDKs last shipped in 2025 or earlier.\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### Azure Document Intelligence\n\n1. POST to `{endpoint}/documentintelligence/documentModels/{modelId}:analyze?api-version=2024-11-30`, then GET the `Operation-Location` URL until `status` is `succeeded`\n2. Wait at least 2 seconds between polls and follow the `Retry-After` header. Default limits are 15 analyse calls and 50 result reads a second on S0\n3. Use `prebuilt-read` for plain text at $1.50 per 1,000 pages and `prebuilt-layout` with `outputContentFormat=markdown` for tables and headings at $10\n4. Set `pages` (for example `1-3,5`) to limit both the bill and the response size. F0 stops at two pages per request\n5. Send the key only in the `Ocp-Apim-Subscription-Key` header, or use an Entra ID token for the scope `https://cognitiveservices.azure.com/.default`\n6. Treat extracted text as untrusted input. Results expire 24 hours after the job completes\n\n## Questions\n\n### Which is better for AI agents, Amazon Textract or Azure Document Intelligence?\n\nAmazon Textract scores 73.5 (BB) on agent readiness against Azure Document Intelligence's 66 (B), and leads in 6 of 7 scored categories.\n\n### Do Amazon Textract and Azure Document Intelligence need an API key?\n\nAmazon Textract needs an API key. Azure Document Intelligence takes an API key or an OAuth sign-in.\n\n### Can an agent call Amazon Textract and Azure Document Intelligence without installing anything?\n\nAmazon Textract has a hosted endpoint at https://textract.us-east-1.amazonaws.com. No hosted endpoint is listed for Azure Document Intelligence.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/amazon-textract-vs-azure-document-intelligence.json, and with the fewest tokens: https://www.anchorterminal.com/compare/amazon-textract-vs-azure-document-intelligence.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"amazon-textract\", \"b\": \"azure-document-intelligence\"}`. From a terminal: `anchor compare amazon-textract azure-document-intelligence`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/amazon-textract.json and https://www.anchorterminal.com/api/v1/tools/azure-document-intelligence.json\n\n## Other comparisons with Amazon Textract or Azure Document Intelligence\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 Azure Document Intelligence](https://www.anchorterminal.com/compare/adobe-pdf-extract-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 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 Extend API + MCP](https://www.anchorterminal.com/compare/azure-document-intelligence-vs-extend.md)\n- [Azure Document Intelligence vs LlamaParse API + MCP](https://www.anchorterminal.com/compare/azure-document-intelligence-vs-llamaparse.md)\n- [Azure Document Intelligence vs Mistral OCR API](https://www.anchorterminal.com/compare/azure-document-intelligence-vs-mistral-ocr.md)\n- [Azure Document Intelligence vs Nanonets API + MCP](https://www.anchorterminal.com/compare/azure-document-intelligence-vs-nanonets.md)\n- [Azure Document Intelligence vs OpenDocRouter](https://www.anchorterminal.com/compare/azure-document-intelligence-vs-opendocrouter.md)\n- [Azure Document Intelligence vs Reducto API + MCP](https://www.anchorterminal.com/compare/azure-document-intelligence-vs-reducto.md)\n- [Azure Document Intelligence vs Unstructured API + MCP](https://www.anchorterminal.com/compare/azure-document-intelligence-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- [Azure Document Intelligence vs Mindee API](https://www.anchorterminal.com/compare/azure-document-intelligence-vs-mindee.md)\n- [Azure Document Intelligence vs Veryfi API + MCP](https://www.anchorterminal.com/compare/azure-document-intelligence-vs-veryfi.md)\n- [Amazon Textract vs Invofox](https://www.anchorterminal.com/compare/amazon-textract-vs-invofox.md)\n- [Azure Document Intelligence vs Invofox](https://www.anchorterminal.com/compare/azure-document-intelligence-vs-invofox.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-09", "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 Azure Document Intelligence", "url": "" } ], "description": "Amazon Textract scores 73.5 (BB) on agent readiness against Azure Document Intelligence's 66 (B), and leads in 6 of 7 scored categories. Both do docs parse. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "Amazon Textract BB 73.5", "Azure Document Intelligence B 66", "scores" ], "h1": "Amazon Textract vs Azure Document Intelligence", "image": "https://www.anchorterminal.com/assets/og/compare-amazon-textract-vs-azure-document-intelligence.png", "path": "/compare/amazon-textract-vs-azure-document-intelligence", "published": "2026-10-01", "section": "tools", "title": "Amazon Textract vs Azure Document Intelligence for AI agents", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/amazon-textract-vs-azure-document-intelligence" }, "tokens": { "markdown": 2800, "slim": 730 }, "version": 1 }