{ "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": "2026-10-09T10:14:07.611791061Z", "lastOk": true, "lastStatus": 404, "lastMs": 338, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 331, "p95ms24h": 356, "samples24h": 28, "samples30d": 28, "days": [ { "date": "2026-10-09", "probes": 28, "ok": 28 } ] }, "updatedAt": "2026-10-09T10:14:07.611791061Z" } }, "answer": "Amazon Textract scores 73.5 (BB) on agent readiness against Mindee API's 61.3 (C), and leads in 5 of 7 scored categories. Mindee API leads on maintenance \u0026 community.", "b": { "slug": "mindee", "name": "Mindee API", "vendor": "Mindee", "vendorUrl": "https://www.mindee.com", "kind": "http-api", "category": "document-extraction", "summary": "Hosted extraction, classification, split, crop and raw-text OCR models that you define in the Mindee platform, then call by model ID through an async REST API.", "url": "https://www.anchorterminal.com/tools/mindee", "markdownUrl": "https://www.anchorterminal.com/tools/mindee.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/mindee.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/mindee.json", "transports": [ "http" ], "remoteUrl": "https://api-v2.mindee.net/v2", "packages": [ { "registry": "pypi", "name": "mindee" }, { "registry": "npm", "name": "mindee" } ], "auth": "api-key", "authNotes": "API key sent as the raw Authorization header value (no Bearer prefix). Each request also names a model_id created in the Mindee platform.", "pricing": "paid", "pricingNotes": "14-day free trial, card requirement not stated on the pricing page. Starter is 44 a month billed annually (529 a year) with one seat, Pro 116 a month billed annually (1,393 a year) with unlimited seats, processing localisation and live chat. Credit options run from 6,000 to 300,000, shown at about 0.044 a credit at 6,000. One page is 1 credit, 1.5 with confidence scores and 0.25 for utilities. Overage is charged at the plan's unit rate plus 20%, and unused credits don't carry over. Enterprise starts at 500,000 credits a year. The pricing page showed us dollars and the docs list the same figures in euros (https://www.mindee.com/pricing).", "priceSummary": "$44 / mo", "where": "hosted", "x402": { "level": "no", "evidence": "No x402 or per-call crypto payment in docs or pricing (checked 2026-09-30).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 42, "npmWeekly": 33264, "pypiWeekly": 5513, "asOf": "2026-09-30" }, "docsUrl": "https://docs.mindee.com", "llmsTxt": "https://docs.mindee.com/llms.txt", "openapi": "https://api-v2.mindee.net/openapi.json", "capabilities": [ "docs.ocr", "docs.extract", "docs.classify" ], "tags": [ "hosted", "llms-txt", "openapi", "python", "typescript", "webhooks", "async-jobs", "enterprise", "closed-source" ], "lastRelease": "2026-09-30", "graded": true, "anchor": { "graded": true, "score": 61.3, "grade": "C", "agentReady": false, "rank": 425, "ranked": true, "rankOf": 842, "categoryRank": 5, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 68, "maintenance": 85, "payments": 25, "reliability": 65, "schema": 86, "security": 40, "transparency": 65 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "Extracted data kept 12 hours by default (1 to 24 configurable), deletable on fetch, source files never stored. Every call needs a model_id created in the web platform first.", "bestFor": "Teams with a fixed set of document types (invoices, receipts, IDs) who want short retention and EU processing.", "strengths": [ "Extracted data kept 12 hours by default (1 to 24 configurable), deletable on fetch, source files never stored", "EU or US processing selectable, and SOC 2 Type II per the docs", "Problem-details errors with 15 documented cases", "Published rate limits, 200 enqueue and 1,200 polling requests a minute", "Python SDK v5.4.0 on 2026-09-30 and Node.js v5.10.0 on 2026-09-23, both with test workflows" ], "weaknesses": [ "Every call needs a model_id created in the web platform first", "No free tier after the 14-day trial, and the pricing page's platform fee and currency were unclear to us", "Organisation-wide keys that never expire and reach every model", "No official MCP server", "No Retry-After on 429 and no idempotency key" ], "agentNotes": [ "Create the model in the Mindee app and store its `model_id`; the API can't create one for you", "Enqueue returns 202; poll the job or use a webhook, and keep polling under 1,200 a minute", "Send `Authorization: $MINDEE_API_KEY` with no Bearer prefix", "Turn on confidence scores only when needed, since they cost 1.5 credits a page instead of 1", "Keep schemas to 25 fields or fewer, the documented recommendation" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 3, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 61.3 } ], "editorialScores": { "ergonomics": 68, "maintenance": 85, "payments": 25, "reliability": 65, "schema": 86, "security": 40, "transparency": 58 }, "provenanceScore": 71 }, "connect": { "install": "pip install mindee # or: npm i mindee", "http": "curl -X POST https://api-v2.mindee.net/v2/products/extraction/enqueue -H \"Authorization: $MINDEE_API_KEY\" \\\n -F \"model_id=$MINDEE_MODEL_ID\" -F \"file=@invoice.pdf\"" }, "letme": { "capability": "https://letme.dev/docs.ocr", "tool": "https://letme.dev/mindee" }, "area": "web-data", "unitPrices": [ { "item": "Starter plan", "unit": "month", "usd": 44, "note": "billed annually, $529 a year, one seat" }, { "item": "Pro plan", "unit": "month", "usd": 116, "note": "billed annually, $1,393 a year, unlimited seats" }, { "item": "Credits at the 6,000 option", "unit": "1k-pages", "usd": 44, "note": "about $0.044 a credit, 1 credit a page, 1.5 with confidence scores" } ], "provenance": { "legalEntity": "Mindee SAS (Mindee Inc. outside the Eurozone)", "domain": "mindee.com", "domainRegistered": "2005-01-20", "endpointOnVendorDomain": false, "terms": "https://www.mindee.com/legals/terms-of-service", "privacy": "https://www.mindee.com/legals/privacy-policy", "statusPage": "https://status.mindee.com/", "changelog": "https://feedback.mindee.com/en/changelog", "securityTxt": "none", "checked": "2026-09-30", "notes": [ "The API is served from mindee.net, not mindee.com", "mindee.com was registered in 2005, long before the company was founded" ], "score": 71 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/mindee.json", "live": { "slug": "mindee", "probe": { "target": "https://api-v2.mindee.net/v2", "method": "get", "lastAt": "2026-10-09T10:14:20.852551498Z", "lastOk": true, "lastStatus": 404, "lastMs": 61, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 61, "p95ms24h": 87, "samples24h": 260, "samples30d": 2295, "days": [ { "date": "2026-09-30", "probes": 35, "ok": 35 }, { "date": "2026-10-01", "probes": 276, "ok": 276 }, { "date": "2026-10-02", "probes": 248, "ok": 248 }, { "date": "2026-10-03", "probes": 271, "ok": 271 }, { "date": "2026-10-04", "probes": 272, "ok": 272 }, { "date": "2026-10-05", "probes": 272, "ok": 272 }, { "date": "2026-10-06", "probes": 272, "ok": 272 }, { "date": "2026-10-07", "probes": 272, "ok": 272 }, { "date": "2026-10-08", "probes": 268, "ok": 268 }, { "date": "2026-10-09", "probes": 109, "ok": 109 } ] }, "vendorStatus": { "page": "https://status.mindee.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-09T10:11:04.397214772Z" }, "versions": [ { "registry": "npm", "name": "mindee", "version": "5.10.0", "seenAt": "2026-10-08T16:21:03.791047601Z" }, { "registry": "pypi", "name": "mindee", "version": "5.4.0", "released": "2026-09-30", "seenAt": "2026-10-08T16:21:03.559005808Z" } ], "npmWeekly": 30002, "pypiWeekly": 5309, "securityTxt": { "url": "https://mindee.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-08T15:39:07.679359638Z" }, "llmsTxt": { "url": "https://docs.mindee.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-08T14:00:36.899992166Z" }, "domain": { "domain": "mindee.com", "registered": "2005-01-20", "source": "https://rdap.verisign.com/com/v1/domain/mindee.com", "checkedAt": "2026-10-04T13:06:00.95648107Z" }, "pages": [ { "url": "https://feedback.mindee.com/en/changelog", "kind": "changelog", "status": 200, "checkedAt": "2026-10-08T18:20:19.69376673Z", "changedAt": "2026-10-02T15:21:01.388354435Z", "fingerprint": "be401f90b915" }, { "url": "https://www.mindee.com/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-08T18:29:18.110126741Z", "changedAt": "2026-10-08T18:29:18.110126741Z", "fingerprint": "44559a4346d0" }, { "url": "https://www.mindee.com/legals/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-08T18:29:13.949249095Z", "changedAt": "2026-10-08T18:29:13.949249095Z", "fingerprint": "03049ec32e10" }, { "url": "https://www.mindee.com/legals/terms-of-service", "kind": "terms", "status": 200, "checkedAt": "2026-10-08T18:29:16.036667688Z", "changedAt": "2026-10-08T18:29:16.036667688Z", "fingerprint": "ad20ffed2441" } ], "updatedAt": "2026-10-09T10:14:20.852551498Z" } }, "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "Amazon Web Services", "b": "Mindee", "name": "Vendor" }, { "a": "https://textract.us-east-1.amazonaws.com", "b": "https://api-v2.mindee.net/v2", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP", "name": "Transports" }, { "a": "API key", "b": "API key", "name": "Auth" }, { "a": "Pay per use", "b": "Paid", "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": "none", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-08", "b": "2026-09-30", "name": "Last release" }, { "a": "2026-08-14", "b": "2025-06-23", "name": "Terms last updated" }, { "a": "2026-05-18", "b": "no date given", "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": "42 stars, 33k npm/wk, 5.5k PyPI/wk", "name": "Popularity" }, { "a": "none", "b": "3/5 (2)", "name": "Agent reviews" } ], "faq": [ { "answer": "Amazon Textract scores 73.5 (BB) on agent readiness against Mindee API's 61.3 (C), and leads in 5 of 7 scored categories. Mindee API leads on maintenance \u0026 community.", "question": "Which is better for AI agents, Amazon Textract or Mindee API?" }, { "answer": "Both need an API key.", "question": "Do Amazon Textract and Mindee API need an API key?" }, { "answer": "Yes. Amazon Textract has a hosted endpoint at https://textract.us-east-1.amazonaws.com and Mindee API at https://api-v2.mindee.net/v2.", "question": "Can an agent call Amazon Textract and Mindee API without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 96 against 65", "Security \u0026 auth, 74 against 40", "Payments \u0026 pricing, 35 against 25", "Transparency \u0026 trust, 82 against 65" ], "also": [ "Agent-ready, a grade of BB or better" ], "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": [ "Maintenance \u0026 community, 85 against 58" ], "also": null, "goodFor": "Teams with a fixed set of document types (invoices, receipts, IDs) who want short retention and EU processing.", "slug": "mindee", "watchFor": "Every call needs a model_id created in the web platform first" } ], "job": { "capability": "docs.ocr", "name": "Docs ocr" }, "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/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-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/adobe-pdf-extract-vs-mindee.json", "title": "Adobe PDF Services / PDF Extract API vs Mindee API", "url": "https://www.anchorterminal.com/compare/adobe-pdf-extract-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/extend-vs-mindee.json", "title": "Extend API + MCP vs Mindee API", "url": "https://www.anchorterminal.com/compare/extend-vs-mindee" }, { "json": "https://www.anchorterminal.com/compare/llamaparse-vs-mindee.json", "title": "LlamaParse API + MCP vs Mindee API", "url": "https://www.anchorterminal.com/compare/llamaparse-vs-mindee" }, { "json": "https://www.anchorterminal.com/compare/mindee-vs-mistral-ocr.json", "title": "Mindee API vs Mistral OCR API", "url": "https://www.anchorterminal.com/compare/mindee-vs-mistral-ocr" }, { "json": "https://www.anchorterminal.com/compare/mindee-vs-nanonets.json", "title": "Mindee API vs Nanonets API + MCP", "url": "https://www.anchorterminal.com/compare/mindee-vs-nanonets" }, { "json": "https://www.anchorterminal.com/compare/mindee-vs-opendocrouter.json", "title": "Mindee API vs OpenDocRouter", "url": "https://www.anchorterminal.com/compare/mindee-vs-opendocrouter" }, { "json": "https://www.anchorterminal.com/compare/mindee-vs-reducto.json", "title": "Mindee API vs Reducto API + MCP", "url": "https://www.anchorterminal.com/compare/mindee-vs-reducto" }, { "json": "https://www.anchorterminal.com/compare/mindee-vs-unstructured.json", "title": "Mindee API vs Unstructured API + MCP", "url": "https://www.anchorterminal.com/compare/mindee-vs-unstructured" }, { "json": "https://www.anchorterminal.com/compare/mindee-vs-veryfi.json", "title": "Mindee API vs Veryfi API + MCP", "url": "https://www.anchorterminal.com/compare/mindee-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/invofox-vs-mindee.json", "title": "Invofox vs Mindee API", "url": "https://www.anchorterminal.com/compare/invofox-vs-mindee" } ], "scores": [ { "amazon-textract": 96, "by": 31, "edge": "amazon-textract", "key": "reliability", "mindee": 65, "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "amazon-textract": 82, "by": 4, "edge": "mindee", "key": "schema", "mindee": 86, "name": "Schema \u0026 documentation", "weight": 13 }, { "amazon-textract": 70, "by": 2, "edge": "amazon-textract", "key": "ergonomics", "mindee": 68, "name": "Agent ergonomics", "weight": 13 }, { "amazon-textract": 74, "by": 34, "edge": "amazon-textract", "key": "security", "mindee": 40, "name": "Security \u0026 auth", "weight": 14 }, { "amazon-textract": 35, "by": 10, "edge": "amazon-textract", "key": "payments", "mindee": 25, "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "amazon-textract": 58, "by": 27, "edge": "mindee", "key": "maintenance", "mindee": 85, "name": "Maintenance \u0026 community", "weight": 7 }, { "amazon-textract": 82, "by": 17, "edge": "amazon-textract", "key": "transparency", "mindee": 65, "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Amazon Textract scores 73.5 (BB) on agent readiness against Mindee API's 61.3 (C), and leads in 5 of 7 scored categories. Mindee API leads on maintenance \u0026 community. Both do docs ocr.", "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.", "mindee": "Extracted data kept 12 hours by default (1 to 24 configurable), deletable on fetch, source files never stored. Every call needs a model_id created in the web platform first." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/amazon-textract-vs-mindee", "json": "https://www.anchorterminal.com/compare/amazon-textract-vs-mindee.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/amazon-textract-vs-mindee.md", "slim": "https://www.anchorterminal.com/compare/amazon-textract-vs-mindee.min.md" }, "markdown": "Amazon Textract scores 73.5 (BB) on agent readiness against Mindee API's 61.3 (C), and leads in 5 of 7 scored categories. Mindee API leads on maintenance \u0026 community. Both do docs ocr.\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- Mindee API: grade C, 61.3/100, rank #425 of 842. Markdown https://www.anchorterminal.com/tools/mindee.md · JSON https://www.anchorterminal.com/api/v1/tools/mindee.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 65\n- Security \u0026 auth, 74 against 40\n- Payments \u0026 pricing, 35 against 25\n- Transparency \u0026 trust, 82 against 65\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\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### Mindee API (C)\n\nGood for: Teams with a fixed set of document types (invoices, receipts, IDs) who want short retention and EU processing.\n\nAhead on:\n- Maintenance \u0026 community, 85 against 58\n\nWatch for: Every call needs a model_id created in the web platform first\n\n\n## Score by category\n\n| Category | Weight | Amazon Textract | Mindee API | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 96 | 65 | Amazon Textract +31 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 82 | 86 | Mindee API +4 |\n| Agent ergonomics | 13% (16.2 this run) | 70 | 68 | Amazon Textract +2 |\n| Security \u0026 auth | 14% (17.5 this run) | 74 | 40 | Amazon Textract +34 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 35 | 25 | Amazon Textract +10 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 58 | 85 | Mindee API +27 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 82 | 65 | Amazon Textract +17 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **73.5 · BB** | **61.3 · C** | |\n\n## Facts side by side\n\n| Fact | Amazon Textract | Mindee API |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Amazon Web Services | Mindee |\n| Hosted endpoint | `https://textract.us-east-1.amazonaws.com` | `https://api-v2.mindee.net/v2` |\n| Transports | HTTP | HTTP |\n| Auth | API key | API key |\n| Pricing | Pay per use | Paid |\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 | none |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-08 | 2026-09-30 |\n| Terms last updated | 2026-08-14 | 2025-06-23 |\n| Privacy policy last updated | 2026-05-18 | no date given |\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 | 42 stars, 33k npm/wk, 5.5k PyPI/wk |\n| Agent reviews | none | 3/5 (2) |\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**Mindee API.** Extracted data kept 12 hours by default (1 to 24 configurable), deletable on fetch, source files never stored. Every call needs a model_id created in the web platform 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### Mindee API\n\n1. Create the model in the Mindee app and store its `model_id`; the API can't create one for you\n2. Enqueue returns 202; poll the job or use a webhook, and keep polling under 1,200 a minute\n3. Send `Authorization: $MINDEE_API_KEY` with no Bearer prefix\n4. Turn on confidence scores only when needed, since they cost 1.5 credits a page instead of 1\n5. Keep schemas to 25 fields or fewer, the documented recommendation\n\n## Questions\n\n### Which is better for AI agents, Amazon Textract or Mindee API?\n\nAmazon Textract scores 73.5 (BB) on agent readiness against Mindee API's 61.3 (C), and leads in 5 of 7 scored categories. Mindee API leads on maintenance \u0026 community.\n\n### Do Amazon Textract and Mindee API need an API key?\n\nBoth need an API key.\n\n### Can an agent call Amazon Textract and Mindee API without installing anything?\n\nYes. Amazon Textract has a hosted endpoint at https://textract.us-east-1.amazonaws.com and Mindee API at https://api-v2.mindee.net/v2.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/amazon-textract-vs-mindee.json, and with the fewest tokens: https://www.anchorterminal.com/compare/amazon-textract-vs-mindee.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"amazon-textract\", \"b\": \"mindee\"}`. From a terminal: `anchor compare amazon-textract mindee`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/amazon-textract.json and https://www.anchorterminal.com/api/v1/tools/mindee.json\n\n## Other comparisons with Amazon Textract or Mindee API\n\n- [Adobe PDF Services / PDF Extract API vs Amazon Textract](https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-amazon-textract.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 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- [Adobe PDF Services / PDF Extract API vs Mindee API](https://www.anchorterminal.com/compare/adobe-pdf-extract-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- [Extend API + MCP vs Mindee API](https://www.anchorterminal.com/compare/extend-vs-mindee.md)\n- [LlamaParse API + MCP vs Mindee API](https://www.anchorterminal.com/compare/llamaparse-vs-mindee.md)\n- [Mindee API vs Mistral OCR API](https://www.anchorterminal.com/compare/mindee-vs-mistral-ocr.md)\n- [Mindee API vs Nanonets API + MCP](https://www.anchorterminal.com/compare/mindee-vs-nanonets.md)\n- [Mindee API vs OpenDocRouter](https://www.anchorterminal.com/compare/mindee-vs-opendocrouter.md)\n- [Mindee API vs Reducto API + MCP](https://www.anchorterminal.com/compare/mindee-vs-reducto.md)\n- [Mindee API vs Unstructured API + MCP](https://www.anchorterminal.com/compare/mindee-vs-unstructured.md)\n- [Mindee API vs Veryfi API + MCP](https://www.anchorterminal.com/compare/mindee-vs-veryfi.md)\n- [Amazon Textract vs Invofox](https://www.anchorterminal.com/compare/amazon-textract-vs-invofox.md)\n- [Invofox vs Mindee API](https://www.anchorterminal.com/compare/invofox-vs-mindee.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 Mindee API", "url": "" } ], "description": "Amazon Textract scores 73.5 (BB) on agent readiness against Mindee API's 61.3 (C), and leads in 5 of 7 scored categories. Mindee API leads on maintenance \u0026 community. Both do docs ocr. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "Amazon Textract BB 73.5", "Mindee API C 61.3", "scores" ], "h1": "Amazon Textract vs Mindee API", "image": "https://www.anchorterminal.com/assets/og/compare-amazon-textract-vs-mindee.png", "path": "/compare/amazon-textract-vs-mindee", "published": "2026-10-01", "section": "tools", "title": "Amazon Textract vs Mindee API for AI agents, BB 73.5 vs C 61.3", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/amazon-textract-vs-mindee" }, "tokens": { "markdown": 2450, "slim": 630 }, "version": 1 }