{ "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 OpenDocRouter's 56.6 (C), and leads in 4 of 7 scored categories. OpenDocRouter leads on agent ergonomics and maintenance \u0026 community.", "b": { "slug": "opendocrouter", "name": "OpenDocRouter", "vendor": "LlamaIndex", "vendorUrl": "https://opendocrouter.ai", "kind": "http-api", "category": "document-extraction", "summary": "OpenDocRouter is a hosted API from LlamaIndex that sends PDFs and images to a document parsing model the caller picks and returns markdown for each page. It launched on 7 October 2026 and bills prepaid credit by tokens used.", "url": "https://www.anchorterminal.com/tools/opendocrouter", "markdownUrl": "https://www.anchorterminal.com/tools/opendocrouter.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/opendocrouter.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/opendocrouter.json", "repo": "https://github.com/run-llama/opendocrouter-py", "license": "Proprietary service under the LlamaIndex Terms of Service with an OpenDocRouter addendum. The Python and TypeScript SDKs are MIT", "transports": [ "http" ], "remoteUrl": "https://www.opendocrouter.ai/v1", "packages": [ { "registry": "pypi", "name": "opendocrouter" }, { "registry": "npm", "name": "@llamaindex/opendocrouter" } ], "auth": "api-key", "authNotes": "Bearer API key created in the dashboard after a browser sign-in, sent as `Authorization: Bearer \u003ckey\u003e` and read by the SDKs from OPEN_DOC_ROUTER_API_KEY. The terms say keys can be revoked. No scopes, expiry or read-only keys were found in the reviewed documentation. `GET /v1/models` answers without a key. This is a separate key from a LlamaCloud key.", "pricing": "usage", "pricingNotes": "Prepaid credit with no subscription. New accounts get $5 of promotional credit, and top-ups start at $10 with a 5% fee on each purchase. Each successful page is charged for its tokens at the chosen model's price, and layout adds $0.20 per 1M tokens. Failed, cached and blank pages are free. Whether sign-up needs a card wasn't established, because the dashboard needs a sign-in. LlamaIndex's launch post of 7 October 2026 gives a $25 minimum top-up, where the site, docs and terms say $10 (checked 2026-10-08).", "priceSummary": "$48.82 / 1k pages", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs, the OpenAPI document or the home page, and /.well-known/x402 returns 404. The 402 response is `insufficient_credits` for prepaid credit (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": 127, "asOf": "2026-10-08" }, "docsUrl": "https://opendocrouter.ai/docs", "openapi": "https://www.opendocrouter.ai/v1/openapi.json", "capabilities": [ "docs.parse", "docs.ocr", "docs.tables" ], "tags": [ "hosted", "usage", "prepaid", "router", "openapi", "python", "typescript", "async-jobs", "closed-source", "new" ], "lastRelease": "2026-10-07", "graded": true, "anchor": { "graded": true, "score": 56.6, "grade": "C", "agentReady": false, "rank": 568, "ranked": true, "rankOf": 842, "categoryRank": 8, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 84, "maintenance": 65, "payments": 30, "reliability": 43, "schema": 85, "security": 40, "transparency": 47 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": 0, "verdict": "One endpoint reaches 11 parsing models, each with a dated recipe version, a published token price and a ParseBench score, and failed pages aren't charged. The service launched on 7 October 2026, so it has no status page, incident history, SLA or changelog yet, and no key scopes were found in the reviewed documentation.", "bestFor": "Agents that need page-level markdown from PDFs and images and want to choose or compare models on price and published benchmark scores with one key.", "strengths": [ "Public OpenAPI 3.1 document for all six operations, and the docs page is also served as Markdown at /docs.md", "`GET /v1/models` lists 11 models without a key, each with token prices, an average and a maximum charge per page, and ParseBench scores", "Failed, cached and blank pages are free, and every page comes back with its own status, token usage and charge", "Fifteen request error codes and twelve page error codes are documented, with Retry-After on 429 and 503 and a retry verdict for each page error", "Nothing from a document is stored unless `cache: true` is sent, and cached results are encrypted and deleted after 24 hours or on DELETE" ], "weaknesses": [ "Launched on 7 October 2026. The domain was registered on 23 September 2026 and both SDKs have one release, 1.0.0", "No status page, SLA or service changelog was found. LlamaIndex's status page lists only LlamaParse components", "No scoped, expiring or read-only keys in the reviewed documentation, and no idempotency key", "A request holds the model's maximum charge per page, $0.784 on Claude Opus 5.5, so the $5 starting credit admits six Opus pages a request", "Without `cache: true` a dropped connection loses the markdown, the request is still charged and a resend is a new request" ], "agentNotes": [ "Call `GET /v1/models` first, which needs no key, and choose a model by `avg_charge_per_page_usd` and its ParseBench scores. Send its `id` as `model`", "Send `cache: true` on any request you might repeat. Without it the markdown exists only in the POST response and a resend is charged as a new request", "Raise the SDK timeout above its 60-second default for sync parses. Pages can run for 270 seconds and the SDKs retry a timed-out request twice", "Check every page's `status` before using its markdown. A 200 can be `partial`, and failed pages can be resent alone with `pages`", "Treat 402 as final until credit is added. The hold is the model's maximum charge per page times the page count, and `GET /v1/credits` shows `available_usd`" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 56.6 } ], "editorialScores": { "ergonomics": 84, "maintenance": 65, "payments": 30, "reliability": 43, "schema": 85, "security": 40, "transparency": 45 }, "provenanceScore": 49 }, "connect": { "install": "pip install opendocrouter # or: npm install @llamaindex/opendocrouter", "http": "curl https://www.opendocrouter.ai/v1/parse \\\n -H \"Authorization: Bearer $OPEN_DOC_ROUTER_API_KEY\" \\\n -H \"Content-Type: application/json\" \\\n -d '{\"model\": \"google/gemini-3.8-flash-low\", \"document\": {\"url\": \"https://arxiv.org/pdf/1706.03762\"}}'" }, "letme": { "capability": "https://letme.dev/docs.parse", "tool": "https://letme.dev/opendocrouter" }, "area": "web-data", "unitPrices": [ { "item": "Parse with Claude Opus 5.5", "unit": "1k-pages", "usd": 48.82, "note": "vendor's average on ParseBench documents, charged by tokens, at most $0.784 a page" }, { "item": "Parse with Gemini 3 Flash", "unit": "1k-pages", "usd": 19.67, "note": "vendor's average on ParseBench documents, charged by tokens, at most $0.199 a page" }, { "item": "Parse with GPT-5.6 Terra", "unit": "1k-pages", "usd": 19.89, "note": "vendor's average on ParseBench documents, charged by tokens, at most $0.436 a page" }, { "item": "Parse with Gemini 3.8 Flash", "unit": "1k-pages", "usd": 5.91, "note": "vendor's average on ParseBench documents, charged by tokens, at most $0.126 a page" }, { "item": "Parse with Infinity-Parser2-Flash", "unit": "1k-pages", "usd": 4.34, "note": "vendor's average on ParseBench documents, charged by tokens, at most $0.050 a page" }, { "item": "Parse with dots.mocr", "unit": "1k-pages", "usd": 3.97, "note": "vendor's average on ParseBench documents, charged by tokens, at most $0.030 a page" }, { "item": "Parse with TeleOCR", "unit": "1k-pages", "usd": 2.7, "note": "vendor's average on ParseBench documents, charged by tokens, at most $0.045 a page" }, { "item": "Parse with PaddleOCR-VL-1.6", "unit": "1k-pages", "usd": 2.11, "note": "vendor's average on ParseBench documents, charged by tokens, at most $0.044 a page" }, { "item": "Parse with Claude Haiku 5.5", "unit": "1k-pages", "usd": 1.22, "note": "vendor's average on ParseBench documents, charged by tokens, at most $0.020 a page" }, { "item": "Parse with MinerU2.5-Pro", "unit": "1k-pages", "usd": 0.86, "note": "vendor's average on ParseBench documents, charged by tokens, at most $0.007 a page" }, { "item": "Parse with GPT-6 Luna", "unit": "1k-pages", "usd": 0.8, "note": "vendor's average on ParseBench documents, charged by tokens, at most $0.019 a page" }, { "item": "Layout add-on", "unit": "1m-tokens", "usd": 0.2, "note": "added to each page whose layout comes back" }, { "item": "Top-up fee", "unit": "pct", "usd": 5, "note": "on each credit purchase, minimum purchase $10, non-refundable" } ], "provenance": { "legalEntity": "LlamaIndex, Inc.", "domain": "opendocrouter.ai", "domainRegistered": "2026-09-23", "endpointOnVendorDomain": true, "terms": "https://www.opendocrouter.ai/terms", "privacy": "https://www.opendocrouter.ai/privacy", "statusPage": "", "changelog": "", "securityTxt": "none", "checked": "2026-10-08", "notes": [ "The terms page carries an OpenDocRouter addendum last modified 2026-10-07 above the LlamaIndex Terms of Service of 2024-06-07, which name LlamaIndex, Inc. The SDK licence files read Copyright 2026 LlamaIndex, Inc.", "The privacy page is the LlamaIndex Privacy Notice last updated 2024-03-30. It covers LlamaIndex as a controller and doesn't mention OpenDocRouter.", "RDAP for opendocrouter.ai gives a registration date of 2026-09-23 with the registrant behind a privacy service. The link to LlamaIndex rests on the site footer, the terms and the announcement on llamaindex.ai.", "www.opendocrouter.ai/.well-known/security.txt and www.llamaindex.ai/.well-known/security.txt both return 404. SECURITY.md in the SDK repositories sends reports to security@runllama.ai.", "No status page or service changelog is linked from the site, and /status and /changelog return 404. The only changelogs are the SDKs' CHANGELOG.md files on GitHub." ], "score": 49 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/opendocrouter.json", "live": { "slug": "opendocrouter", "probe": { "target": "https://www.opendocrouter.ai/v1", "method": "get", "lastAt": "2026-10-09T10:42:51.72627299Z", "lastOk": true, "lastStatus": 404, "lastMs": 193, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 151, "p95ms24h": 331, "samples24h": 207, "samples30d": 207, "days": [ { "date": "2026-10-08", "probes": 93, "ok": 93 }, { "date": "2026-10-09", "probes": 114, "ok": 114 } ] }, "versions": [ { "registry": "github", "name": "run-llama/opendocrouter-py", "version": "v1.0.0", "released": "2026-10-07", "seenAt": "2026-10-08T16:24:05.510654236Z" }, { "registry": "npm", "name": "@llamaindex/opendocrouter", "version": "1.0.0", "seenAt": "2026-10-08T16:24:04.668181235Z" }, { "registry": "pypi", "name": "opendocrouter", "version": "1.0.0", "released": "2026-10-07", "seenAt": "2026-10-08T16:24:04.48026514Z" } ], "githubStars": 0, "pypiWeekly": 127, "securityTxt": { "url": "https://opendocrouter.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-08T15:38:43.225873715Z" }, "pages": [ { "url": "https://www.opendocrouter.ai/privacy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-08T18:29:28.539563971Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "e0b0c7945b0c" }, { "url": "https://www.opendocrouter.ai/terms", "kind": "terms", "status": 200, "checkedAt": "2026-10-08T18:29:30.906325783Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "a43783643c37" } ], "updatedAt": "2026-10-09T10:42:51.72627299Z" } }, "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "Amazon Web Services", "b": "LlamaIndex", "name": "Vendor" }, { "a": "https://textract.us-east-1.amazonaws.com", "b": "https://www.opendocrouter.ai/v1", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP", "name": "Transports" }, { "a": "API key", "b": "API key", "name": "Auth" }, { "a": "Pay per use", "b": "Pay per use", "name": "Pricing" }, { "a": "not published", "b": "$0.80 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": "Proprietary service under the LlamaIndex Terms of Service with an OpenDocRouter addendum. The Python and TypeScript SDKs 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": "2026-10-07", "name": "Last release" }, { "a": "2026-08-14", "b": "2026-10-07", "name": "Terms last updated" }, { "a": "2026-05-18", "b": "2024-03-30", "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": "yes", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "yes", "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": "127 PyPI/wk", "name": "Popularity" } ], "faq": [ { "answer": "Amazon Textract scores 73.5 (BB) on agent readiness against OpenDocRouter's 56.6 (C), and leads in 4 of 7 scored categories. OpenDocRouter leads on agent ergonomics and maintenance \u0026 community.", "question": "Which is better for AI agents, Amazon Textract or OpenDocRouter?" }, { "answer": "Both need an API key.", "question": "Do Amazon Textract and OpenDocRouter need an API key?" }, { "answer": "Yes. Amazon Textract has a hosted endpoint at https://textract.us-east-1.amazonaws.com and OpenDocRouter at https://www.opendocrouter.ai/v1.", "question": "Can an agent call Amazon Textract and OpenDocRouter without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 96 against 43", "Security \u0026 auth, 74 against 40", "Payments \u0026 pricing, 35 against 30", "Transparency \u0026 trust, 82 against 47" ], "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, 65 against 58" ], "also": null, "goodFor": "Agents that need page-level markdown from PDFs and images and want to choose or compare models on price and published benchmark scores with one key.", "slug": "opendocrouter", "watchFor": "Launched on 7 October 2026. The domain was registered on 23 September 2026 and both SDKs have one release, 1.0.0" } ], "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-opendocrouter.json", "title": "Adobe PDF Services / PDF Extract API vs OpenDocRouter", "url": "https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-opendocrouter" }, { "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-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-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/extend-vs-opendocrouter.json", "title": "Extend API + MCP vs OpenDocRouter", "url": "https://www.anchorterminal.com/compare/extend-vs-opendocrouter" }, { "json": "https://www.anchorterminal.com/compare/llamaparse-vs-opendocrouter.json", "title": "LlamaParse API + MCP vs OpenDocRouter", "url": "https://www.anchorterminal.com/compare/llamaparse-vs-opendocrouter" }, { "json": "https://www.anchorterminal.com/compare/mistral-ocr-vs-opendocrouter.json", "title": "Mistral OCR API vs OpenDocRouter", "url": "https://www.anchorterminal.com/compare/mistral-ocr-vs-opendocrouter" }, { "json": "https://www.anchorterminal.com/compare/nanonets-vs-opendocrouter.json", "title": "Nanonets API + MCP vs OpenDocRouter", "url": "https://www.anchorterminal.com/compare/nanonets-vs-opendocrouter" }, { "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/opendocrouter-vs-unstructured.json", "title": "OpenDocRouter vs Unstructured API + MCP", "url": "https://www.anchorterminal.com/compare/opendocrouter-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/invofox-vs-opendocrouter.json", "title": "Invofox vs OpenDocRouter", "url": "https://www.anchorterminal.com/compare/invofox-vs-opendocrouter" }, { "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/opendocrouter-vs-veryfi.json", "title": "OpenDocRouter vs Veryfi API + MCP", "url": "https://www.anchorterminal.com/compare/opendocrouter-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" } ], "scores": [ { "amazon-textract": 96, "by": 53, "edge": "amazon-textract", "key": "reliability", "name": "Reliability", "opendocrouter": 43, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "amazon-textract": 82, "by": 3, "edge": "opendocrouter", "key": "schema", "name": "Schema \u0026 documentation", "opendocrouter": 85, "weight": 13 }, { "amazon-textract": 70, "by": 14, "edge": "opendocrouter", "key": "ergonomics", "name": "Agent ergonomics", "opendocrouter": 84, "weight": 13 }, { "amazon-textract": 74, "by": 34, "edge": "amazon-textract", "key": "security", "name": "Security \u0026 auth", "opendocrouter": 40, "weight": 14 }, { "amazon-textract": 35, "by": 5, "edge": "amazon-textract", "key": "payments", "name": "Payments \u0026 pricing", "opendocrouter": 30, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "amazon-textract": 58, "by": 7, "edge": "opendocrouter", "key": "maintenance", "name": "Maintenance \u0026 community", "opendocrouter": 65, "weight": 7 }, { "amazon-textract": 82, "by": 35, "edge": "amazon-textract", "key": "transparency", "name": "Transparency \u0026 trust", "opendocrouter": 47, "weight": 7 } ], "summary": "Amazon Textract scores 73.5 (BB) on agent readiness against OpenDocRouter's 56.6 (C), and leads in 4 of 7 scored categories. OpenDocRouter 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.", "opendocrouter": "One endpoint reaches 11 parsing models, each with a dated recipe version, a published token price and a ParseBench score, and failed pages aren't charged. The service launched on 7 October 2026, so it has no status page, incident history, SLA or changelog yet, and no key scopes were found in the reviewed documentation." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/amazon-textract-vs-opendocrouter", "json": "https://www.anchorterminal.com/compare/amazon-textract-vs-opendocrouter.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/amazon-textract-vs-opendocrouter.md", "slim": "https://www.anchorterminal.com/compare/amazon-textract-vs-opendocrouter.min.md" }, "markdown": "Amazon Textract scores 73.5 (BB) on agent readiness against OpenDocRouter's 56.6 (C), and leads in 4 of 7 scored categories. OpenDocRouter 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- OpenDocRouter: grade C, 56.6/100, rank #568 of 842. Markdown https://www.anchorterminal.com/tools/opendocrouter.md · JSON https://www.anchorterminal.com/api/v1/tools/opendocrouter.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 43\n- Security \u0026 auth, 74 against 40\n- Payments \u0026 pricing, 35 against 30\n- Transparency \u0026 trust, 82 against 47\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### OpenDocRouter (C)\n\nGood for: Agents that need page-level markdown from PDFs and images and want to choose or compare models on price and published benchmark scores with one key.\n\nAhead on:\n- Agent ergonomics, 84 against 70\n- Maintenance \u0026 community, 65 against 58\n\nWatch for: Launched on 7 October 2026. The domain was registered on 23 September 2026 and both SDKs have one release, 1.0.0\n\n\n## Score by category\n\n| Category | Weight | Amazon Textract | OpenDocRouter | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 96 | 43 | Amazon Textract +53 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 82 | 85 | OpenDocRouter +3 |\n| Agent ergonomics | 13% (16.2 this run) | 70 | 84 | OpenDocRouter +14 |\n| Security \u0026 auth | 14% (17.5 this run) | 74 | 40 | Amazon Textract +34 |\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 | 65 | OpenDocRouter +7 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 82 | 47 | Amazon Textract +35 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **73.5 · BB** | **56.6 · C** | |\n\n## Facts side by side\n\n| Fact | Amazon Textract | OpenDocRouter |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Amazon Web Services | LlamaIndex |\n| Hosted endpoint | `https://textract.us-east-1.amazonaws.com` | `https://www.opendocrouter.ai/v1` |\n| Transports | HTTP | HTTP |\n| Auth | API key | API key |\n| Pricing | Pay per use | Pay per use |\n| Price for docs parse | not published | $0.80 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 | Proprietary service under the LlamaIndex Terms of Service with an OpenDocRouter addendum. The Python and TypeScript SDKs are MIT |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| Last release | 2026-10-08 | 2026-10-07 |\n| Terms last updated | 2026-08-14 | 2026-10-07 |\n| Privacy policy last updated | 2026-05-18 | 2024-03-30 |\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 | yes |\n| Terms or service can change without notice | not found in the text | yes |\n| Arbitration or class-action waiver | yes | yes |\n| Popularity | 1.9M npm/wk, 208k PyPI/wk | 127 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**OpenDocRouter.** One endpoint reaches 11 parsing models, each with a dated recipe version, a published token price and a ParseBench score, and failed pages aren't charged. The service launched on 7 October 2026, so it has no status page, incident history, SLA or changelog yet, and no key scopes were found in the reviewed documentation.\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### OpenDocRouter\n\n1. Call `GET /v1/models` first, which needs no key, and choose a model by `avg_charge_per_page_usd` and its ParseBench scores. Send its `id` as `model`\n2. Send `cache: true` on any request you might repeat. Without it the markdown exists only in the POST response and a resend is charged as a new request\n3. Raise the SDK timeout above its 60-second default for sync parses. Pages can run for 270 seconds and the SDKs retry a timed-out request twice\n4. Check every page's `status` before using its markdown. A 200 can be `partial`, and failed pages can be resent alone with `pages`\n5. Treat 402 as final until credit is added. The hold is the model's maximum charge per page times the page count, and `GET /v1/credits` shows `available_usd`\n\n## Questions\n\n### Which is better for AI agents, Amazon Textract or OpenDocRouter?\n\nAmazon Textract scores 73.5 (BB) on agent readiness against OpenDocRouter's 56.6 (C), and leads in 4 of 7 scored categories. OpenDocRouter leads on agent ergonomics and maintenance \u0026 community.\n\n### Do Amazon Textract and OpenDocRouter need an API key?\n\nBoth need an API key.\n\n### Can an agent call Amazon Textract and OpenDocRouter without installing anything?\n\nYes. Amazon Textract has a hosted endpoint at https://textract.us-east-1.amazonaws.com and OpenDocRouter at https://www.opendocrouter.ai/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/amazon-textract-vs-opendocrouter.json, and with the fewest tokens: https://www.anchorterminal.com/compare/amazon-textract-vs-opendocrouter.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"amazon-textract\", \"b\": \"opendocrouter\"}`. From a terminal: `anchor compare amazon-textract opendocrouter`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/amazon-textract.json and https://www.anchorterminal.com/api/v1/tools/opendocrouter.json\n\n## Other comparisons with Amazon Textract or OpenDocRouter\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 OpenDocRouter](https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-opendocrouter.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 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 OpenDocRouter](https://www.anchorterminal.com/compare/azure-document-intelligence-vs-opendocrouter.md)\n- [Extend API + MCP vs OpenDocRouter](https://www.anchorterminal.com/compare/extend-vs-opendocrouter.md)\n- [LlamaParse API + MCP vs OpenDocRouter](https://www.anchorterminal.com/compare/llamaparse-vs-opendocrouter.md)\n- [Mistral OCR API vs OpenDocRouter](https://www.anchorterminal.com/compare/mistral-ocr-vs-opendocrouter.md)\n- [Nanonets API + MCP vs OpenDocRouter](https://www.anchorterminal.com/compare/nanonets-vs-opendocrouter.md)\n- [OpenDocRouter vs Reducto API + MCP](https://www.anchorterminal.com/compare/opendocrouter-vs-reducto.md)\n- [OpenDocRouter vs Unstructured API + MCP](https://www.anchorterminal.com/compare/opendocrouter-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- [Invofox vs OpenDocRouter](https://www.anchorterminal.com/compare/invofox-vs-opendocrouter.md)\n- [Mindee API vs OpenDocRouter](https://www.anchorterminal.com/compare/mindee-vs-opendocrouter.md)\n- [OpenDocRouter vs Veryfi API + MCP](https://www.anchorterminal.com/compare/opendocrouter-vs-veryfi.md)\n- [Amazon Textract vs Invofox](https://www.anchorterminal.com/compare/amazon-textract-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 OpenDocRouter", "url": "" } ], "description": "Amazon Textract scores 73.5 (BB) on agent readiness against OpenDocRouter's 56.6 (C), and leads in 4 of 7 scored categories. OpenDocRouter leads on agent ergonomics and maintenance \u0026 community. Both do docs parse. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "Amazon Textract BB 73.5", "OpenDocRouter C 56.6", "scores" ], "h1": "Amazon Textract vs OpenDocRouter", "image": "https://www.anchorterminal.com/assets/og/compare-amazon-textract-vs-opendocrouter.png", "path": "/compare/amazon-textract-vs-opendocrouter", "published": "2026-10-01", "section": "tools", "title": "Amazon Textract vs OpenDocRouter for AI agents, BB 73.5 vs C 56.6", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/amazon-textract-vs-opendocrouter" }, "tokens": { "markdown": 2700, "slim": 730 }, "version": 1 }