{
  "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 LlamaParse API + MCP's 59.2 (C), and leads in 3 of 7 scored categories. LlamaParse API + MCP leads on payments \u0026 pricing and maintenance \u0026 community.",
    "b": {
      "slug": "llamaparse",
      "name": "LlamaParse API + MCP",
      "vendor": "LlamaIndex",
      "vendorUrl": "https://www.llamaindex.ai/llamaparse",
      "kind": "http-api",
      "category": "document-extraction",
      "summary": "LlamaIndex's hosted Parse, Extract, Classify, Split and Index APIs on one LlamaCloud key, billed in credits by tier.",
      "url": "https://www.anchorterminal.com/tools/llamaparse",
      "markdownUrl": "https://www.anchorterminal.com/tools/llamaparse.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/llamaparse.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/llamaparse.json",
      "transports": [
        "http",
        "streamable-http"
      ],
      "remoteUrl": "https://api.cloud.llamaindex.ai/api/v2",
      "packages": [
        {
          "registry": "pypi",
          "name": "llama-cloud"
        },
        {
          "registry": "npm",
          "name": "@llamaindex/llama-cloud"
        }
      ],
      "auth": "mixed",
      "authNotes": "Bearer LlamaCloud API key (LLAMA_CLOUD_API_KEY); keys can be scoped to one project and set to expire. The hosted MCP takes OAuth or the same key as a bearer token. EU accounts use api.cloud.eu.llamaindex.ai and mcp.eu.llamaindex.ai, and tokens don't cross regions.",
      "pricing": "freemium",
      "pricingNotes": "Credits cost $1.25 per 1,000. Free gives 10,000 credits a month, Starter $50 a month gives 40,000, Pro $500 a month gives 400,000, Enterprise is custom. Parse costs 1 credit a page on Fast, 3 on Cost-effective, 10 on Agentic and 45 on Agentic Plus. Extract adds 5, 15 or 50 credits a page on top of the parse tier. Paid plans bill overage at the same rate up to a spending cap (https://www.llamaindex.ai/pricing).",
      "priceSummary": "$1.25 / 1k pages",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402 or per-call crypto payment in docs or pricing (checked 2026-09-30).",
        "endpoints": []
      },
      "toolCount": 26,
      "popularity": {
        "githubStars": 4267,
        "npmWeekly": 124970,
        "pypiWeekly": 767328,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://developers.llamaindex.ai/llamaparse/",
      "llmsTxt": "https://developers.llamaindex.ai/llms.txt",
      "openapi": "https://api.cloud.llamaindex.ai/api/openapi.json",
      "capabilities": [
        "docs.parse",
        "docs.ocr",
        "docs.extract",
        "docs.tables",
        "docs.chunk",
        "docs.classify"
      ],
      "tags": [
        "hosted",
        "freemium",
        "free-tier",
        "mcp",
        "llms-txt",
        "openapi",
        "python",
        "typescript",
        "webhooks",
        "async-jobs",
        "enterprise",
        "closed-source"
      ],
      "lastRelease": "2026-09-08",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 59.2,
        "grade": "C",
        "agentReady": false,
        "rank": 503,
        "ranked": true,
        "rankOf": 842,
        "categoryRank": 6,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 72,
          "maintenance": 80,
          "payments": 40,
          "reliability": 55,
          "schema": 82,
          "security": 48,
          "transparency": 66
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": -3,
        "negativeNotes": [
          "2026-08-12 to 2026-09-08. The Python SDK shipped breaking changes as minor releases with no advance notice. 2.14.0 renamed files.get() to files.content(), and 2.16.0 removed the classify v1 job methods. Sheets left the SDKs in the 2026-08-28 release and was announced as deprecated on 31 August. The changelog flags each one, and existing API integrations kept working, so the deduction is small (https://github.com/run-llama/llama-cloud-py/blob/main/CHANGELOG.md, https://developers.llamaindex.ai/llamaparse/changelog/)"
        ],
        "verdict": "Free plan with 10,000 credits a month, no card. Breaking SDK changes shipped as minor releases (files.get renamed, classify v1 removed).",
        "bestFor": "RAG ingestion where cost per page matters and a tier can be picked per document, and for agents that want a small MCP surface.",
        "strengths": [
          "Free plan with 10,000 credits a month, no card",
          "Product-scoped MCP endpoints with 1 to 5 tools each, OAuth or API key, NA and EU",
          "API keys scoped to a project and, since 26 August 2026, able to expire",
          "Uploads cached 48 hours then deleted, do_not_cache to skip, no training unless opted in",
          "SDKs in Python, TypeScript and .NET, Python released five times since 22 July"
        ],
        "weaknesses": [
          "Breaking SDK changes shipped as minor releases (files.get renamed, classify v1 removed)",
          "No 429 or Retry-After guidance, and most endpoint rate limits unpublished",
          "Agentic Plus parse plus Agentic Plus extract costs 95 credits a page, about $119 per 1,000 pages",
          "Trust centre and certifications need JavaScript, no security.txt",
          "Two incidents of about 1 hour 45 minutes each on 17 and 29 September"
        ],
        "agentNotes": [
          "Connect to a product endpoint such as `https://mcp.llamaindex.ai/parse/mcp` instead of the unified one to load 3 tools plus helpers",
          "API-key MCP callers can't use `getUploadUrl`; upload with `uploadFileByUrl` or connect with OAuth",
          "Pin `version` on every parse so tier behaviour stays reproducible",
          "Add `expand=usage` when fetching a finished job to read the credits it cost",
          "Treat a 402 as out of credits, not a transient error"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 3.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "C",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 59.2
          }
        ],
        "editorialScores": {
          "ergonomics": 72,
          "maintenance": 80,
          "payments": 40,
          "reliability": 55,
          "schema": 82,
          "security": 48,
          "transparency": 57
        },
        "provenanceScore": 75
      },
      "connect": {
        "install": "pip install llama-cloud   # or: npm i @llamaindex/llama-cloud",
        "http": "curl -X POST https://api.cloud.llamaindex.ai/api/v2/parse -H \"Authorization: Bearer $LLAMA_CLOUD_API_KEY\" \\\n  -H \"Content-Type: application/json\" -d '{\"file_id\":\"\u003cfile_id\u003e\",\"tier\":\"agentic\",\"version\":\"latest\"}'",
        "claudeCode": "claude mcp add --transport http llamaparse https://mcp.llamaindex.ai/mcp"
      },
      "letme": {
        "capability": "https://letme.dev/docs.parse",
        "tool": "https://letme.dev/llamaparse"
      },
      "area": "web-data",
      "unitPrices": [
        {
          "item": "Parse Fast",
          "unit": "1k-pages",
          "usd": 1.25,
          "note": "1 credit a page"
        },
        {
          "item": "Parse Cost-effective",
          "unit": "1k-pages",
          "usd": 3.75,
          "note": "3 credits a page"
        },
        {
          "item": "Parse Agentic",
          "unit": "1k-pages",
          "usd": 12.5,
          "note": "10 credits a page"
        },
        {
          "item": "Parse Agentic Plus",
          "unit": "1k-pages",
          "usd": 56.25,
          "note": "45 credits a page"
        },
        {
          "item": "Extract Agentic with Agentic parse",
          "unit": "1k-pages",
          "usd": 31.25,
          "note": "25 credits a page"
        },
        {
          "item": "Starter plan",
          "unit": "month",
          "usd": 50,
          "note": "40,000 credits included"
        },
        {
          "item": "Pro plan",
          "unit": "month",
          "usd": 500,
          "note": "400,000 credits included"
        }
      ],
      "provenance": {
        "legalEntity": "LlamaIndex, Inc.",
        "domain": "llamaindex.ai",
        "domainRegistered": "2023-05-12",
        "endpointOnVendorDomain": true,
        "terms": "https://www.llamaindex.ai/terms-of-service",
        "privacy": "https://www.llamaindex.ai/privacy-policy",
        "statusPage": "https://llamaindex.statuspage.io",
        "changelog": "https://developers.llamaindex.ai/llamaparse/changelog/",
        "securityTxt": "none",
        "checked": "2026-09-30",
        "score": 75
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/llamaparse.json",
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          "samples30d": 2300,
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        "vendorStatus": {
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          "summary": "All Systems Operational",
          "checkedAt": "2026-10-09T10:41:47.768340513Z"
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        "versions": [
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        "domain": {
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          "registered": "2023-05-12",
          "source": "https://rdap.identitydigital.services/rdap/domain/llamaindex.ai",
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            "kind": "deprecations",
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            "checkedAt": "2026-10-08T18:17:51.676109563Z",
            "changedAt": "2026-10-05T15:55:12.724880906Z",
            "fingerprint": "1bc29dc22db1"
          },
          {
            "url": "https://www.llamaindex.ai/pricing",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-10-08T18:28:47.504496061Z",
            "changedAt": "2026-10-03T15:38:55.926108356Z",
            "fingerprint": "b6005fd3e792"
          },
          {
            "url": "https://www.llamaindex.ai/privacy-policy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-08T18:28:49.833201483Z",
            "changedAt": "2026-10-02T15:27:11.3765692Z",
            "fingerprint": "7c62ab9bc94a"
          },
          {
            "url": "https://www.llamaindex.ai/terms-of-service",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-08T18:28:51.845150996Z",
            "changedAt": "2026-10-02T15:27:13.419682312Z",
            "fingerprint": "c78e06852376"
          }
        ],
        "updatedAt": "2026-10-09T10:42:47.754251169Z"
      }
    },
    "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://api.cloud.llamaindex.ai/api/v2",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "HTTP, Streamable HTTP",
        "name": "Transports"
      },
      {
        "a": "API key",
        "b": "OAuth or key",
        "name": "Auth"
      },
      {
        "a": "Pay per use",
        "b": "Freemium",
        "name": "Pricing"
      },
      {
        "a": "not published",
        "b": "$1.25 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": "26",
        "name": "Tools exposed"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-08",
        "b": "2026-09-08",
        "name": "Last release"
      },
      {
        "a": "2026-08-14",
        "b": "2024-06-07",
        "name": "Terms last updated"
      },
      {
        "a": "2026-05-18",
        "b": "2026-08-24",
        "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": "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": "4.3k stars, 125k npm/wk, 767k PyPI/wk",
        "name": "Popularity"
      },
      {
        "a": "none",
        "b": "3.5/5 (2)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Amazon Textract scores 73.5 (BB) on agent readiness against LlamaParse API + MCP's 59.2 (C), and leads in 3 of 7 scored categories. LlamaParse API + MCP leads on payments \u0026 pricing and maintenance \u0026 community.",
        "question": "Which is better for AI agents, Amazon Textract or LlamaParse API + MCP?"
      },
      {
        "answer": "Amazon Textract needs an API key. LlamaParse API + MCP takes an API key or an OAuth sign-in.",
        "question": "Do Amazon Textract and LlamaParse API + MCP need an API key?"
      },
      {
        "answer": "Yes. Amazon Textract has a hosted endpoint at https://textract.us-east-1.amazonaws.com and LlamaParse API + MCP at https://api.cloud.llamaindex.ai/api/v2.",
        "question": "Can an agent call Amazon Textract and LlamaParse API + MCP without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 96 against 55",
          "Security \u0026 auth, 74 against 48",
          "Transparency \u0026 trust, 82 against 66"
        ],
        "also": [
          "Agent-ready, a grade of BB or better",
          "No incidents deducted, where LlamaParse API + MCP loses 3 points for them"
        ],
        "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": [
          "Payments \u0026 pricing, 40 against 35",
          "Maintenance \u0026 community, 80 against 58"
        ],
        "also": null,
        "goodFor": "RAG ingestion where cost per page matters and a tier can be picked per document, and for agents that want a small MCP surface.",
        "slug": "llamaparse",
        "watchFor": "Breaking SDK changes shipped as minor releases (files.get renamed, classify v1 removed)"
      }
    ],
    "job": {
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      "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-llamaparse.json",
        "title": "Adobe PDF Services / PDF Extract API vs LlamaParse API + MCP",
        "url": "https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-llamaparse"
      },
      {
        "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-mistral-ocr.json",
        "title": "Amazon Textract vs Mistral OCR API",
        "url": "https://www.anchorterminal.com/compare/amazon-textract-vs-mistral-ocr"
      },
      {
        "json": "https://www.anchorterminal.com/compare/amazon-textract-vs-nanonets.json",
        "title": "Amazon Textract vs Nanonets API + MCP",
        "url": "https://www.anchorterminal.com/compare/amazon-textract-vs-nanonets"
      },
      {
        "json": "https://www.anchorterminal.com/compare/amazon-textract-vs-opendocrouter.json",
        "title": "Amazon Textract vs OpenDocRouter",
        "url": "https://www.anchorterminal.com/compare/amazon-textract-vs-opendocrouter"
      },
      {
        "json": "https://www.anchorterminal.com/compare/amazon-textract-vs-reducto.json",
        "title": "Amazon Textract vs Reducto API + MCP",
        "url": "https://www.anchorterminal.com/compare/amazon-textract-vs-reducto"
      },
      {
        "json": "https://www.anchorterminal.com/compare/amazon-textract-vs-unstructured.json",
        "title": "Amazon Textract vs Unstructured API + MCP",
        "url": "https://www.anchorterminal.com/compare/amazon-textract-vs-unstructured"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-llamaparse.json",
        "title": "Azure Document Intelligence vs LlamaParse API + MCP",
        "url": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-llamaparse"
      },
      {
        "json": "https://www.anchorterminal.com/compare/extend-vs-llamaparse.json",
        "title": "Extend API + MCP vs LlamaParse API + MCP",
        "url": "https://www.anchorterminal.com/compare/extend-vs-llamaparse"
      },
      {
        "json": "https://www.anchorterminal.com/compare/llamaparse-vs-mistral-ocr.json",
        "title": "LlamaParse API + MCP vs Mistral OCR API",
        "url": "https://www.anchorterminal.com/compare/llamaparse-vs-mistral-ocr"
      },
      {
        "json": "https://www.anchorterminal.com/compare/llamaparse-vs-nanonets.json",
        "title": "LlamaParse API + MCP vs Nanonets API + MCP",
        "url": "https://www.anchorterminal.com/compare/llamaparse-vs-nanonets"
      },
      {
        "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/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/llamaparse-vs-unstructured.json",
        "title": "LlamaParse API + MCP vs Unstructured API + MCP",
        "url": "https://www.anchorterminal.com/compare/llamaparse-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/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/llamaparse-vs-veryfi.json",
        "title": "LlamaParse API + MCP vs Veryfi API + MCP",
        "url": "https://www.anchorterminal.com/compare/llamaparse-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-llamaparse.json",
        "title": "Invofox vs LlamaParse API + MCP",
        "url": "https://www.anchorterminal.com/compare/invofox-vs-llamaparse"
      }
    ],
    "scores": [
      {
        "amazon-textract": 96,
        "by": 41,
        "edge": "amazon-textract",
        "key": "reliability",
        "llamaparse": 55,
        "name": "Reliability",
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "amazon-textract": 82,
        "by": 0,
        "edge": "",
        "key": "schema",
        "llamaparse": 82,
        "name": "Schema \u0026 documentation",
        "weight": 13
      },
      {
        "amazon-textract": 70,
        "by": 2,
        "edge": "llamaparse",
        "key": "ergonomics",
        "llamaparse": 72,
        "name": "Agent ergonomics",
        "weight": 13
      },
      {
        "amazon-textract": 74,
        "by": 26,
        "edge": "amazon-textract",
        "key": "security",
        "llamaparse": 48,
        "name": "Security \u0026 auth",
        "weight": 14
      },
      {
        "amazon-textract": 35,
        "by": 5,
        "edge": "llamaparse",
        "key": "payments",
        "llamaparse": 40,
        "name": "Payments \u0026 pricing",
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "amazon-textract": 58,
        "by": 22,
        "edge": "llamaparse",
        "key": "maintenance",
        "llamaparse": 80,
        "name": "Maintenance \u0026 community",
        "weight": 7
      },
      {
        "amazon-textract": 82,
        "by": 16,
        "edge": "amazon-textract",
        "key": "transparency",
        "llamaparse": 66,
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
    ],
    "summary": "Amazon Textract scores 73.5 (BB) on agent readiness against LlamaParse API + MCP's 59.2 (C), and leads in 3 of 7 scored categories. LlamaParse API + MCP leads on payments \u0026 pricing 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.",
      "llamaparse": "Free plan with 10,000 credits a month, no card. Breaking SDK changes shipped as minor releases (files.get renamed, classify v1 removed)."
    }
  },
  "kind": "anchor.page",
  "links": {
    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/compare/amazon-textract-vs-llamaparse",
    "json": "https://www.anchorterminal.com/compare/amazon-textract-vs-llamaparse.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
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  "markdown": "Amazon Textract scores 73.5 (BB) on agent readiness against LlamaParse API + MCP's 59.2 (C), and leads in 3 of 7 scored categories. LlamaParse API + MCP leads on payments \u0026 pricing 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- LlamaParse API + MCP: grade C, 59.2/100, rank #503 of 842. Markdown https://www.anchorterminal.com/tools/llamaparse.md · JSON https://www.anchorterminal.com/api/v1/tools/llamaparse.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 55\n- Security \u0026 auth, 74 against 48\n- Transparency \u0026 trust, 82 against 66\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n- No incidents deducted, where LlamaParse API + MCP loses 3 points for them\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### LlamaParse API + MCP (C)\n\nGood for: RAG ingestion where cost per page matters and a tier can be picked per document, and for agents that want a small MCP surface.\n\nAhead on:\n- Payments \u0026 pricing, 40 against 35\n- Maintenance \u0026 community, 80 against 58\n\nWatch for: Breaking SDK changes shipped as minor releases (files.get renamed, classify v1 removed)\n\n\n## Score by category\n\n| Category | Weight | Amazon Textract | LlamaParse API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 96 | 55 | Amazon Textract +41 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 82 | 82 | even |\n| Agent ergonomics | 13% (16.2 this run) | 70 | 72 | LlamaParse API + MCP +2 |\n| Security \u0026 auth | 14% (17.5 this run) | 74 | 48 | Amazon Textract +26 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 35 | 40 | LlamaParse API + MCP +5 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 58 | 80 | LlamaParse API + MCP +22 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 82 | 66 | Amazon Textract +16 |\n| Negative events | ≤15 | 0 | -3 | |\n| **Total** | | **73.5 · BB** | **59.2 · C** | |\n\n## Facts side by side\n\n| Fact | Amazon Textract | LlamaParse API + MCP |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Amazon Web Services | LlamaIndex |\n| Hosted endpoint | `https://textract.us-east-1.amazonaws.com` | `https://api.cloud.llamaindex.ai/api/v2` |\n| Transports | HTTP | HTTP, Streamable HTTP |\n| Auth | API key | OAuth or key |\n| Pricing | Pay per use | Freemium |\n| Price for docs parse | not published | $1.25 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 | 26 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-08 | 2026-09-08 |\n| Terms last updated | 2026-08-14 | 2024-06-07 |\n| Privacy policy last updated | 2026-05-18 | 2026-08-24 |\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 | yes |\n| Arbitration or class-action waiver | yes | yes |\n| Popularity | 1.9M npm/wk, 208k PyPI/wk | 4.3k stars, 125k npm/wk, 767k PyPI/wk |\n| Agent reviews | none | 3.5/5 (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**LlamaParse API + MCP.** Free plan with 10,000 credits a month, no card. Breaking SDK changes shipped as minor releases (files.get renamed, classify v1 removed).\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### LlamaParse API + MCP\n\n1. Connect to a product endpoint such as `https://mcp.llamaindex.ai/parse/mcp` instead of the unified one to load 3 tools plus helpers\n2. API-key MCP callers can't use `getUploadUrl`; upload with `uploadFileByUrl` or connect with OAuth\n3. Pin `version` on every parse so tier behaviour stays reproducible\n4. Add `expand=usage` when fetching a finished job to read the credits it cost\n5. Treat a 402 as out of credits, not a transient error\n\n## Questions\n\n### Which is better for AI agents, Amazon Textract or LlamaParse API + MCP?\n\nAmazon Textract scores 73.5 (BB) on agent readiness against LlamaParse API + MCP's 59.2 (C), and leads in 3 of 7 scored categories. LlamaParse API + MCP leads on payments \u0026 pricing and maintenance \u0026 community.\n\n### Do Amazon Textract and LlamaParse API + MCP need an API key?\n\nAmazon Textract needs an API key. LlamaParse API + MCP takes an API key or an OAuth sign-in.\n\n### Can an agent call Amazon Textract and LlamaParse API + MCP without installing anything?\n\nYes. Amazon Textract has a hosted endpoint at https://textract.us-east-1.amazonaws.com and LlamaParse API + MCP at https://api.cloud.llamaindex.ai/api/v2.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/amazon-textract-vs-llamaparse.json, and with the fewest tokens: https://www.anchorterminal.com/compare/amazon-textract-vs-llamaparse.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"amazon-textract\", \"b\": \"llamaparse\"}`. From a terminal: `anchor compare amazon-textract llamaparse`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/amazon-textract.json and https://www.anchorterminal.com/api/v1/tools/llamaparse.json\n\n## Other comparisons with Amazon Textract or LlamaParse 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 LlamaParse API + MCP](https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-llamaparse.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 Mistral OCR API](https://www.anchorterminal.com/compare/amazon-textract-vs-mistral-ocr.md)\n- [Amazon Textract vs Nanonets API + MCP](https://www.anchorterminal.com/compare/amazon-textract-vs-nanonets.md)\n- [Amazon Textract vs OpenDocRouter](https://www.anchorterminal.com/compare/amazon-textract-vs-opendocrouter.md)\n- [Amazon Textract vs Reducto API + MCP](https://www.anchorterminal.com/compare/amazon-textract-vs-reducto.md)\n- [Amazon Textract vs Unstructured API + MCP](https://www.anchorterminal.com/compare/amazon-textract-vs-unstructured.md)\n- [Azure Document Intelligence vs LlamaParse API + MCP](https://www.anchorterminal.com/compare/azure-document-intelligence-vs-llamaparse.md)\n- [Extend API + MCP vs LlamaParse API + MCP](https://www.anchorterminal.com/compare/extend-vs-llamaparse.md)\n- [LlamaParse API + MCP vs Mistral OCR API](https://www.anchorterminal.com/compare/llamaparse-vs-mistral-ocr.md)\n- [LlamaParse API + MCP vs Nanonets API + MCP](https://www.anchorterminal.com/compare/llamaparse-vs-nanonets.md)\n- [LlamaParse API + MCP vs OpenDocRouter](https://www.anchorterminal.com/compare/llamaparse-vs-opendocrouter.md)\n- [LlamaParse API + MCP vs Reducto API + MCP](https://www.anchorterminal.com/compare/llamaparse-vs-reducto.md)\n- [LlamaParse API + MCP vs Unstructured API + MCP](https://www.anchorterminal.com/compare/llamaparse-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- [LlamaParse API + MCP vs Mindee API](https://www.anchorterminal.com/compare/llamaparse-vs-mindee.md)\n- [LlamaParse API + MCP vs Veryfi API + MCP](https://www.anchorterminal.com/compare/llamaparse-vs-veryfi.md)\n- [Amazon Textract vs Invofox](https://www.anchorterminal.com/compare/amazon-textract-vs-invofox.md)\n- [Invofox vs LlamaParse API + MCP](https://www.anchorterminal.com/compare/invofox-vs-llamaparse.md)\n",
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    "description": "Amazon Textract scores 73.5 (BB) on agent readiness against LlamaParse API + MCP's 59.2 (C), and leads in 3 of 7 scored categories. LlamaParse API + MCP leads on payments \u0026 pricing and maintenance \u0026 community. Both do docs parse. Category scores, facts, verdicts and agent notes…",
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