{ "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": "2026-10-09T11:46:21.509901567Z", "lastOk": true, "lastStatus": 404, "lastMs": 335, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 335, "p95ms24h": 387, "samples24h": 44, "samples30d": 44, "days": [ { "date": "2026-10-09", "probes": 44, "ok": 44 } ] }, "updatedAt": "2026-10-09T11:46:21.509901567Z" } }, "answer": "Amazon Textract scores 73.5 (BB) on agent readiness against Reducto API + MCP's 62.9 (B), and leads in 5 of 7 scored categories. Reducto API + MCP leads on agent ergonomics and maintenance \u0026 community.", "b": { "slug": "reducto", "name": "Reducto API + MCP", "vendor": "Reducto", "vendorUrl": "https://reducto.ai", "kind": "http-api", "category": "document-extraction", "summary": "Hosted parse, extract, split, classify and edit endpoints for PDFs, scans, spreadsheets and Office files, built on its own r-1 parsing model.", "url": "https://www.anchorterminal.com/tools/reducto", "markdownUrl": "https://www.anchorterminal.com/tools/reducto.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/reducto.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/reducto.json", "transports": [ "http", "streamable-http", "stdio" ], "remoteUrl": "https://platform.reducto.ai", "packages": [ { "registry": "pypi", "name": "reductoai" }, { "registry": "npm", "name": "reductoai" }, { "registry": "pypi", "name": "mcp-server-reducto" } ], "auth": "api-key", "authNotes": "Bearer API key from Reducto Studio in the Authorization header. The hosted MCP at mcp.reducto.ai takes the same key as a bearer header. The local MCP reads it from ~/.reducto/config.yaml after a device-code login, or from REDUCTO_API_KEY.", "pricing": "usage", "pricingNotes": "Standard is pay as you go with $150 of free usage (15,000 credits) to start. List prices from 2026-09-01 per 1,000 pages are r-1 Parse $10, Extract $20 (parsing included), Deep Extract $40, Split $20, Deep Split $40, Classify $7.50 and Edit $60 ($15 for prefilled pages). Batch queue jobs get 20% off. Growth and Enterprise are custom with volume discounts (https://reducto.ai/pricing).", "priceSummary": "$10 / 1k pages", "where": "both", "x402": { "level": "no", "evidence": "No x402 or per-call crypto payment in docs, pricing or OpenAPI spec (checked 2026-09-30).", "endpoints": [] }, "toolCount": 9, "popularity": { "githubStars": null, "npmWeekly": 341923, "pypiWeekly": 1091084, "asOf": "2026-09-30" }, "docsUrl": "https://docs.reducto.ai", "llmsTxt": "https://docs.reducto.ai/llms.txt", "openapi": "https://docs.reducto.ai/openapi.json", "capabilities": [ "docs.parse", "docs.ocr", "docs.extract", "docs.tables", "docs.chunk", "docs.classify" ], "tags": [ "hosted", "mcp", "llms-txt", "openapi", "python", "typescript", "webhooks", "async-jobs", "enterprise", "closed-source" ], "lastRelease": "2026-09-11", "graded": true, "anchor": { "graded": true, "score": 62.9, "grade": "B", "agentReady": false, "rank": 375, "ranked": true, "rankOf": 842, "categoryRank": 4, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 84, "maintenance": 80, "payments": 30, "reliability": 72, "schema": 80, "security": 35, "transparency": 57 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "Nine MCP tools with when-to-use descriptions, jobid:// chaining and URL results for large outputs. Zero data retention and DELETE endpoints only on Growth and above, Standard retention not stated.", "bestFor": "Messy PDFs, tables and spreadsheets where an agent needs parse, extract and split behind one small MCP.", "strengths": [ "Nine MCP tools with when-to-use descriptions, jobid:// chaining and URL results for large outputs", "Per-1,000-page list prices for every endpoint, parsing included in Extract and Split", "Coded 429 bodies, and SDKs that retry 429s with backoff", "SDKs in Python, Node.js and Go with CI, end-to-end and spec-drift workflows", "incident.io status page with per-product components and history" ], "weaknesses": [ "Zero data retention and DELETE endpoints only on Growth and above, Standard retention not stated", "No public changelog for the hosted API", "11 incidents since 23 July, mostly latency, with Parse degraded on 1 October", "MCP server sends usage telemetry by default", "Plain API keys with no scopes, and no annotations on tools that start billable jobs" ], "agentNotes": [ "Use `/parse_async` or `/extract_async` with a webhook for anything long; sync calls time out at 900 seconds", "Pass `jobid://\u003cjob_id\u003e` from a parse into extract or split so you don't pay to parse twice", "Call `get_job` when a tool returns a URL result instead of reading fields from the truncated reply", "The hosted MCP can't read local files; run `uvx mcp-server-reducto` when the agent needs to upload from disk", "Set `REDUCTO_TELEMETRY=0` in the local server's environment to turn off usage telemetry" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 4, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 62.9 } ], "editorialScores": { "ergonomics": 84, "maintenance": 80, "payments": 30, "reliability": 72, "schema": 80, "security": 35, "transparency": 38 }, "provenanceScore": 76 }, "connect": { "http": "curl -X POST https://platform.reducto.ai/parse -H \"Authorization: Bearer $REDUCTO_API_KEY\" \\\n -H \"Content-Type: application/json\" -d '{\"input\":\"https://cdn.reducto.ai/samples/fidelity-example.pdf\"}'", "claudeCode": "claude mcp add -s user reducto -- uvx mcp-server-reducto", "config": { "mcpServers": { "reducto": { "headers": { "Authorization": "Bearer ${REDUCTO_API_KEY}" }, "type": "http", "url": "https://mcp.reducto.ai/mcp" } } } }, "letme": { "capability": "https://letme.dev/docs.parse", "tool": "https://letme.dev/reducto" }, "area": "web-data", "unitPrices": [ { "item": "r-1 Parse", "unit": "1k-pages", "usd": 10, "note": "Standard list price from 2026-09-01" }, { "item": "Extract", "unit": "1k-pages", "usd": 20, "note": "parsing included" }, { "item": "Deep Extract", "unit": "1k-pages", "usd": 40, "note": "parsing included" }, { "item": "Split", "unit": "1k-pages", "usd": 20, "note": "parsing included" }, { "item": "Classify", "unit": "1k-pages", "usd": 7.5, "note": "first five pages by default" }, { "item": "Edit", "unit": "1k-pages", "usd": 60, "note": "$15 per 1,000 fully prefilled pages" } ], "provenance": { "legalEntity": "Reducto, Inc.", "domain": "reducto.ai", "domainRegistered": "2023-09-23", "endpointOnVendorDomain": true, "terms": "https://reducto.ai/terms", "privacy": "https://reducto.ai/privacy", "statusPage": "https://status.reducto.ai", "changelog": "", "securityTxt": "valid", "checked": "2026-09-30", "notes": [ "The docs changelog at docs.reducto.ai/changelog is the on-prem changelog and sits behind a password" ], "score": 76 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/reducto.json", "live": { "slug": "reducto", "probe": { "target": "https://platform.reducto.ai", "method": "get", "lastAt": "2026-10-09T11:46:38.442401011Z", "lastOk": true, "lastStatus": 403, "lastMs": 430, "lastNote": "asks for credentials", "authRequired": true, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 443, "p95ms24h": 478, "samples24h": 259, "samples30d": 2311, "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": 125, "ok": 125 } ] }, "vendorStatus": { "page": "https://status.reducto.ai", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-09T11:40:31.097350144Z" }, "versions": [ { "registry": "npm", "name": "reductoai", "version": "0.18.0", "seenAt": "2026-10-08T16:27:04.694191541Z" }, { "registry": "pypi", "name": "mcp-server-reducto", "version": "0.3.0", "released": "2026-05-02", "seenAt": "2026-10-08T16:27:05.59951687Z" }, { "registry": "pypi", "name": "reductoai", "version": "0.24.0", "released": "2026-09-08", "seenAt": "2026-10-08T16:27:04.508014166Z" } ], "npmWeekly": 370744, "pypiWeekly": 1153293, "securityTxt": { "url": "https://reducto.ai/.well-known/security.txt", "state": "valid", "expires": "2027-07-01T00:00:00.000Z", "checkedAt": "2026-10-08T15:38:32.819003824Z" }, "llmsTxt": { "url": "https://docs.reducto.ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-08T14:00:48.114452396Z" }, "domain": { "domain": "reducto.ai", "registered": "2023-09-23", "source": "https://rdap.identitydigital.services/rdap/domain/reducto.ai", "checkedAt": "2026-10-04T13:03:43.478445759Z" }, "pages": [ { "url": "https://docs.reducto.ai/reference/pricing-migration", "kind": "deprecations", "status": 200, "checkedAt": "2026-10-08T18:19:18.846325072Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "a2de88ed18a1" }, { "url": "https://reducto.ai/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-08T18:23:38.499512241Z", "changedAt": "2026-10-07T18:08:46.059871889Z", "fingerprint": "1511f97e039f" }, { "url": "https://reducto.ai/privacy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-08T18:23:40.681205371Z", "changedAt": "2026-10-06T16:11:53.271804425Z", "fingerprint": "d241b52334d3" }, { "url": "https://reducto.ai/terms", "kind": "terms", "status": 200, "checkedAt": "2026-10-08T18:23:42.664748991Z", "changedAt": "2026-10-06T16:11:55.382351407Z", "fingerprint": "fcc68928fcc4" } ], "updatedAt": "2026-10-09T11:46:38.442401011Z" } }, "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "Amazon Web Services", "b": "Reducto", "name": "Vendor" }, { "a": "https://textract.us-east-1.amazonaws.com", "b": "https://platform.reducto.ai", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP, Streamable HTTP, stdio", "name": "Transports" }, { "a": "API key", "b": "API key", "name": "Auth" }, { "a": "Pay per use", "b": "Pay per use", "name": "Pricing" }, { "a": "not published", "b": "$10 per 1,000 pages", "name": "Price for docs parse" }, { "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": "none", "b": "9", "name": "Tools exposed" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-08", "b": "2026-09-11", "name": "Last release" }, { "a": "2026-08-14", "b": "2026-04-17", "name": "Terms last updated" }, { "a": "2026-05-18", "b": "2024-01-21", "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": "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": "yes", "name": "Arbitration or class-action waiver" }, { "a": "1.9M npm/wk, 208k PyPI/wk", "b": "342k npm/wk, 1.1M PyPI/wk", "name": "Popularity" }, { "a": "none", "b": "4/5 (2)", "name": "Agent reviews" } ], "faq": [ { "answer": "Amazon Textract scores 73.5 (BB) on agent readiness against Reducto API + MCP's 62.9 (B), and leads in 5 of 7 scored categories. Reducto API + MCP leads on agent ergonomics and maintenance \u0026 community.", "question": "Which is better for AI agents, Amazon Textract or Reducto API + MCP?" }, { "answer": "Both need an API key.", "question": "Do Amazon Textract and Reducto API + MCP need an API key?" }, { "answer": "Yes. Amazon Textract has a hosted endpoint at https://textract.us-east-1.amazonaws.com and Reducto API + MCP at https://platform.reducto.ai.", "question": "Can an agent call Amazon Textract and Reducto API + MCP without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 96 against 72", "Security \u0026 auth, 74 against 35", "Payments \u0026 pricing, 35 against 30", "Transparency \u0026 trust, 82 against 57" ], "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": [ "Agent ergonomics, 84 against 70", "Maintenance \u0026 community, 80 against 58" ], "also": [ "Runs on your own machine" ], "goodFor": "Messy PDFs, tables and spreadsheets where an agent needs parse, extract and split behind one small MCP.", "slug": "reducto", "watchFor": "Zero data retention and DELETE endpoints only on Growth and above, Standard retention not stated" } ], "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-reducto.json", "title": "Adobe PDF Services / PDF Extract API vs Reducto API + MCP", "url": "https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-reducto" }, { "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-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-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/extend-vs-reducto.json", "title": "Extend API + MCP vs Reducto API + MCP", "url": "https://www.anchorterminal.com/compare/extend-vs-reducto" }, { "json": "https://www.anchorterminal.com/compare/llamaparse-vs-reducto.json", "title": "LlamaParse API + MCP vs Reducto API + MCP", "url": "https://www.anchorterminal.com/compare/llamaparse-vs-reducto" }, { "json": "https://www.anchorterminal.com/compare/mistral-ocr-vs-reducto.json", "title": "Mistral OCR API vs Reducto API + MCP", "url": "https://www.anchorterminal.com/compare/mistral-ocr-vs-reducto" }, { "json": "https://www.anchorterminal.com/compare/nanonets-vs-reducto.json", "title": "Nanonets API + MCP vs Reducto API + MCP", "url": "https://www.anchorterminal.com/compare/nanonets-vs-reducto" }, { "json": "https://www.anchorterminal.com/compare/opendocrouter-vs-reducto.json", "title": "OpenDocRouter vs Reducto API + MCP", "url": "https://www.anchorterminal.com/compare/opendocrouter-vs-reducto" }, { "json": "https://www.anchorterminal.com/compare/reducto-vs-unstructured.json", "title": "Reducto API + MCP vs Unstructured API + MCP", "url": "https://www.anchorterminal.com/compare/reducto-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/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/reducto-vs-veryfi.json", "title": "Reducto API + MCP vs Veryfi API + MCP", "url": "https://www.anchorterminal.com/compare/reducto-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-reducto.json", "title": "Invofox vs Reducto API + MCP", "url": "https://www.anchorterminal.com/compare/invofox-vs-reducto" } ], "scores": [ { "amazon-textract": 96, "by": 24, "edge": "amazon-textract", "key": "reliability", "name": "Reliability", "reducto": 72, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "amazon-textract": 82, "by": 2, "edge": "amazon-textract", "key": "schema", "name": "Schema \u0026 documentation", "reducto": 80, "weight": 13 }, { "amazon-textract": 70, "by": 14, "edge": "reducto", "key": "ergonomics", "name": "Agent ergonomics", "reducto": 84, "weight": 13 }, { "amazon-textract": 74, "by": 39, "edge": "amazon-textract", "key": "security", "name": "Security \u0026 auth", "reducto": 35, "weight": 14 }, { "amazon-textract": 35, "by": 5, "edge": "amazon-textract", "key": "payments", "name": "Payments \u0026 pricing", "reducto": 30, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "amazon-textract": 58, "by": 22, "edge": "reducto", "key": "maintenance", "name": "Maintenance \u0026 community", "reducto": 80, "weight": 7 }, { "amazon-textract": 82, "by": 25, "edge": "amazon-textract", "key": "transparency", "name": "Transparency \u0026 trust", "reducto": 57, "weight": 7 } ], "summary": "Amazon Textract scores 73.5 (BB) on agent readiness against Reducto API + MCP's 62.9 (B), and leads in 5 of 7 scored categories. Reducto API + MCP leads on agent ergonomics and maintenance \u0026 community. 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.", "reducto": "Nine MCP tools with when-to-use descriptions, jobid:// chaining and URL results for large outputs. Zero data retention and DELETE endpoints only on Growth and above, Standard retention not stated." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/amazon-textract-vs-reducto", "json": "https://www.anchorterminal.com/compare/amazon-textract-vs-reducto.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/amazon-textract-vs-reducto.md", "slim": "https://www.anchorterminal.com/compare/amazon-textract-vs-reducto.min.md" }, "markdown": "Amazon Textract scores 73.5 (BB) on agent readiness against Reducto API + MCP's 62.9 (B), and leads in 5 of 7 scored categories. Reducto API + MCP leads on agent ergonomics and maintenance \u0026 community. 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- Reducto API + MCP: grade B, 62.9/100, rank #375 of 842. Markdown https://www.anchorterminal.com/tools/reducto.md · JSON https://www.anchorterminal.com/api/v1/tools/reducto.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 72\n- Security \u0026 auth, 74 against 35\n- Payments \u0026 pricing, 35 against 30\n- Transparency \u0026 trust, 82 against 57\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### Reducto API + MCP (B)\n\nGood for: Messy PDFs, tables and spreadsheets where an agent needs parse, extract and split behind one small MCP.\n\nAhead on:\n- Agent ergonomics, 84 against 70\n- Maintenance \u0026 community, 80 against 58\n\nAlso in its favour:\n- Runs on your own machine\n\nWatch for: Zero data retention and DELETE endpoints only on Growth and above, Standard retention not stated\n\n\n## Score by category\n\n| Category | Weight | Amazon Textract | Reducto API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 96 | 72 | Amazon Textract +24 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 82 | 80 | Amazon Textract +2 |\n| Agent ergonomics | 13% (16.2 this run) | 70 | 84 | Reducto API + MCP +14 |\n| Security \u0026 auth | 14% (17.5 this run) | 74 | 35 | Amazon Textract +39 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 35 | 30 | Amazon Textract +5 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 58 | 80 | Reducto API + MCP +22 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 82 | 57 | Amazon Textract +25 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **73.5 · BB** | **62.9 · B** | |\n\n## Facts side by side\n\n| Fact | Amazon Textract | Reducto API + MCP |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Amazon Web Services | Reducto |\n| Hosted endpoint | `https://textract.us-east-1.amazonaws.com` | `https://platform.reducto.ai` |\n| Transports | HTTP | HTTP, Streamable HTTP, stdio |\n| Auth | API key | API key |\n| Pricing | Pay per use | Pay per use |\n| Price for docs parse | not published | $10 per 1,000 pages |\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| Tools exposed | none | 9 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-08 | 2026-09-11 |\n| Terms last updated | 2026-08-14 | 2026-04-17 |\n| Privacy policy last updated | 2026-05-18 | 2024-01-21 |\n| Customer content may train models | not found in the text | not found in the text |\n| Terms restrict automated access | not found in the text | yes |\n| Terms restrict benchmarking | not found in the text | yes |\n| Terms or service can change without notice | not found in the text | not found in the text |\n| Arbitration or class-action waiver | yes | yes |\n| Popularity | 1.9M npm/wk, 208k PyPI/wk | 342k npm/wk, 1.1M PyPI/wk |\n| Agent reviews | none | 4/5 (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**Reducto API + MCP.** Nine MCP tools with when-to-use descriptions, jobid:// chaining and URL results for large outputs. Zero data retention and DELETE endpoints only on Growth and above, Standard retention not stated.\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### Reducto API + MCP\n\n1. Use `/parse_async` or `/extract_async` with a webhook for anything long; sync calls time out at 900 seconds\n2. Pass `jobid://\u003cjob_id\u003e` from a parse into extract or split so you don't pay to parse twice\n3. Call `get_job` when a tool returns a URL result instead of reading fields from the truncated reply\n4. The hosted MCP can't read local files; run `uvx mcp-server-reducto` when the agent needs to upload from disk\n5. Set `REDUCTO_TELEMETRY=0` in the local server's environment to turn off usage telemetry\n\n## Questions\n\n### Which is better for AI agents, Amazon Textract or Reducto API + MCP?\n\nAmazon Textract scores 73.5 (BB) on agent readiness against Reducto API + MCP's 62.9 (B), and leads in 5 of 7 scored categories. Reducto API + MCP leads on agent ergonomics and maintenance \u0026 community.\n\n### Do Amazon Textract and Reducto API + MCP need an API key?\n\nBoth need an API key.\n\n### Can an agent call Amazon Textract and Reducto API + MCP without installing anything?\n\nYes. Amazon Textract has a hosted endpoint at https://textract.us-east-1.amazonaws.com and Reducto API + MCP at https://platform.reducto.ai.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/amazon-textract-vs-reducto.json, and with the fewest tokens: https://www.anchorterminal.com/compare/amazon-textract-vs-reducto.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"amazon-textract\", \"b\": \"reducto\"}`. From a terminal: `anchor compare amazon-textract reducto`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/amazon-textract.json and https://www.anchorterminal.com/api/v1/tools/reducto.json\n\n## Other comparisons with Amazon Textract or Reducto API + MCP\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 Reducto API + MCP](https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-reducto.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 Unstructured API + MCP](https://www.anchorterminal.com/compare/amazon-textract-vs-unstructured.md)\n- [Azure Document Intelligence vs Reducto API + MCP](https://www.anchorterminal.com/compare/azure-document-intelligence-vs-reducto.md)\n- [Extend API + MCP vs Reducto API + MCP](https://www.anchorterminal.com/compare/extend-vs-reducto.md)\n- [LlamaParse API + MCP vs Reducto API + MCP](https://www.anchorterminal.com/compare/llamaparse-vs-reducto.md)\n- [Mistral OCR API vs Reducto API + MCP](https://www.anchorterminal.com/compare/mistral-ocr-vs-reducto.md)\n- [Nanonets API + MCP vs Reducto API + MCP](https://www.anchorterminal.com/compare/nanonets-vs-reducto.md)\n- [OpenDocRouter vs Reducto API + MCP](https://www.anchorterminal.com/compare/opendocrouter-vs-reducto.md)\n- [Reducto API + MCP vs Unstructured API + MCP](https://www.anchorterminal.com/compare/reducto-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- [Mindee API vs Reducto API + MCP](https://www.anchorterminal.com/compare/mindee-vs-reducto.md)\n- [Reducto API + MCP vs Veryfi API + MCP](https://www.anchorterminal.com/compare/reducto-vs-veryfi.md)\n- [Amazon Textract vs Invofox](https://www.anchorterminal.com/compare/amazon-textract-vs-invofox.md)\n- [Invofox vs Reducto API + MCP](https://www.anchorterminal.com/compare/invofox-vs-reducto.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 Reducto API + MCP", "url": "" } ], "description": "Amazon Textract scores 73.5 (BB) on agent readiness against Reducto API + MCP's 62.9 (B), and leads in 5 of 7 scored categories. Reducto API + MCP leads on agent ergonomics and maintenance \u0026 community. Both do docs parse. Category scores, facts, verdicts and agent notes side by…", "facts": [ "Amazon Textract BB 73.5", "Reducto API + MCP B 62.9", "scores" ], "h1": "Amazon Textract vs Reducto API + MCP", "image": "https://www.anchorterminal.com/assets/og/compare-amazon-textract-vs-reducto.png", "path": "/compare/amazon-textract-vs-reducto", "published": "2026-10-01", "section": "tools", "title": "Amazon Textract vs Reducto API + MCP for AI agents, BB 73.5 vs B 62.9", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/amazon-textract-vs-reducto" }, "tokens": { "markdown": 2600, "slim": 730 }, "version": 1 }