{ "data": { "a": { "slug": "azure-document-intelligence", "name": "Azure Document Intelligence", "vendor": "Microsoft Azure", "vendorUrl": "https://azure.microsoft.com/en-us/products/ai-services/ai-document-intelligence", "kind": "http-api", "category": "document-extraction", "summary": "Microsoft's Azure service for OCR, layout analysis and field extraction from PDFs, images and Office files. It has prebuilt models for invoices, receipts, identity and tax documents, and custom models. Access is a REST API with four SDKs.", "url": "https://www.anchorterminal.com/tools/azure-document-intelligence", "markdownUrl": "https://www.anchorterminal.com/tools/azure-document-intelligence.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/azure-document-intelligence.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/azure-document-intelligence.json", "repo": "https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/documentintelligence", "license": "Proprietary service under Microsoft's Product Terms. The client libraries are MIT", "transports": [ "http" ], "packages": [ { "registry": "pypi", "name": "azure-ai-documentintelligence" }, { "registry": "npm", "name": "@azure-rest/ai-document-intelligence" } ], "auth": "mixed", "authNotes": "Access starts with an Azure subscription and a Document Intelligence or Foundry resource created in the portal, CLI or Resource Manager, all self-serve. Calls take one of the resource's two keys in the `Ocp-Apim-Subscription-Key` header, or a Microsoft Entra ID bearer token for the scope `https://cognitiveservices.azure.com/.default`. Entra ID access is granted with Azure RBAC (the Foundry Tools auth page names the Cognitive Services User role) and works with managed identities. No query-string key is documented for this API.", "pricing": "freemium", "pricingNotes": "Free F0 tier with 500 pages a month, limited to the first two pages of each request, on an Azure account that needs a card and a phone number (https://azure.microsoft.com/en-us/pricing/details/document-intelligence/, https://azure.microsoft.com/en-us/pricing/purchase-options/azure-account). Pay as you go (S0) in East US is $1.50 per 1,000 pages for read ($0.60 after a million), $10 for prebuilt models and layout, $30 for custom extraction, $3 for classification, $6 for add-ons and $10 for query fields. Neural model training is $3 an hour after the free allowance. Commitment tiers start at $190 a month for 20,000 prebuilt pages. Prices are from the Azure Retail Prices API, since the pricing page fills its numbers by script (https://prices.azure.com/api/retail/prices?$filter=serviceName%20eq%20%27Foundry%20Tools%27%20and%20armRegionName%20eq%20%27eastus%27%20and%20contains(productName,%27Document%20Intelligence%27)).", "priceSummary": "$1.50 / 1k pages", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs, the OpenAPI document or the pricing page (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": 385681, "pypiWeekly": 2142341, "asOf": "2026-10-08" }, "docsUrl": "https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/", "openapi": "https://github.com/Azure/azure-rest-api-specs/blob/main/specification/ai/data-plane/DocumentIntelligence/stable/2024-11-30/DocumentIntelligence.json", "capabilities": [ "docs.parse", "docs.ocr", "docs.extract", "docs.tables" ], "tags": [ "hosted", "freemium", "free-tier", "closed-source", "openapi", "oauth", "python", "typescript", "java", "dotnet", "enterprise", "async-jobs", "batch", "card-required" ], "lastRelease": "2026-10-06", "graded": true, "anchor": { "graded": true, "score": 66, "grade": "B", "agentReady": false, "rank": 280, "ranked": true, "rankOf": 842, "categoryRank": 2, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 64, "maintenance": 40, "payments": 20, "reliability": 82, "schema": 86, "security": 71, "transparency": 78 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": 0, "verdict": "A public OpenAPI document with 27 operations, Markdown output from the layout model, Microsoft Entra ID or header-only keys, and 24-hour retention with a delete call. Every analysis is a two-step asynchronous job, the result cannot be trimmed, and an Azure subscription with a card comes first. Three of the four SDKs last shipped in 2025 or earlier.", "bestFor": "Teams already on Azure that want OCR, layout to Markdown and prebuilt invoice, receipt, identity and tax models with Entra ID and regional processing.", "strengths": [ "OpenAPI 2.0 document for version 2024-11-30 in Microsoft's public spec repository, 27 operations, each with an example", "The layout model returns Markdown with headings and tables when `outputContentFormat=markdown` is set, and reads PDF, images, DOCX, XLSX, PPTX and HTML", "Input and results are deleted 24 hours after an analysis completes, and a delete call removes them sooner", "Microsoft Entra ID tokens with managed identities, or resource keys sent only in the `Ocp-Apim-Subscription-Key` header", "Dated retirements, 15 September 2027 for v2.1 (announced 15 September 2024) and 30 March 2029 for v3.0" ], "weaknesses": [ "Every analysis is asynchronous. A POST returns 202 with `Operation-Location`, and the caller polls for the result", "The result carries every word and line with polygons, with no parameter to leave them out. Only `pages` narrows it", "No idempotency key. Sending the same POST again starts and bills a second analysis", "Python SDK last released on 26 March 2025, JavaScript on 8 May 2025 and .NET on 16 December 2024. Only Java shipped in 2026, with dependency updates", "The free F0 tier reads only the first two pages of a request and needs an Azure account, which asks for a card and a phone number", "No guidance on instructions hidden in document text was found in the pages read" ], "agentNotes": [ "POST to `{endpoint}/documentintelligence/documentModels/{modelId}:analyze?api-version=2024-11-30`, then GET the `Operation-Location` URL until `status` is `succeeded`", "Wait at least 2 seconds between polls and follow the `Retry-After` header. Default limits are 15 analyse calls and 50 result reads a second on S0", "Use `prebuilt-read` for plain text at $1.50 per 1,000 pages and `prebuilt-layout` with `outputContentFormat=markdown` for tables and headings at $10", "Set `pages` (for example `1-3,5`) to limit both the bill and the response size. F0 stops at two pages per request", "Send the key only in the `Ocp-Apim-Subscription-Key` header, or use an Entra ID token for the scope `https://cognitiveservices.azure.com/.default`", "Treat extracted text as untrusted input. Results expire 24 hours after the job completes" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 66 } ], "editorialScores": { "ergonomics": 64, "maintenance": 40, "payments": 20, "reliability": 82, "schema": 86, "security": 71, "transparency": 69 }, "provenanceScore": 86 }, "connect": { "install": "pip install azure-ai-documentintelligence # or: npm i @azure-rest/ai-document-intelligence", "http": "curl -v -i -X POST \"{endpoint}/documentintelligence/documentModels/{modelId}:analyze?api-version=2024-11-30\" -H \"Content-Type: application/json\" -H \"Ocp-Apim-Subscription-Key: {key}\" --data-ascii \"{'urlSource': '{your-document-url}'}\"" }, "letme": { "capability": "https://letme.dev/docs.parse", "tool": "https://letme.dev/azure-document-intelligence" }, "sameCompany": [ "azure-foundry-fine-tuning", "azure-ai-content-safety", "azure-speech-to-text", "azure-text-to-speech", "microsoft-agent-framework", "microsoft-execution-containers", "microsoft-entra-agent-id", "azure-key-vault", "azure-devops-mcp", "microsoft-learn-mcp", "playwright-mcp", "azure-mcp", "azure-maps", "azure-translator", "microsoft-graph-calendar", "azure-blob-storage", "onedrive-sharepoint", "microsoft-teams", "dynamics-365-sales", "power-automate", "foundry-local", "microsoft-advertising-api", "microsoft-excel-graph", "outlook-mail-graph" ], "area": "web-data", "unitPrices": [ { "item": "Read (OCR)", "unit": "1k-pages", "usd": 1.5, "note": "East US, S0, first million pages a month. $0.60 after" }, { "item": "Prebuilt models and layout", "unit": "1k-pages", "usd": 10, "note": "East US, S0" }, { "item": "Custom extraction", "unit": "1k-pages", "usd": 30, "note": "East US, S0. Same price for custom generative extraction" }, { "item": "Custom classification", "unit": "1k-pages", "usd": 3, "note": "East US, S0" }, { "item": "Add-ons (high resolution, fonts, formulas)", "unit": "1k-pages", "usd": 6, "note": "East US, S0, on top of the model price" }, { "item": "Query fields", "unit": "1k-pages", "usd": 10, "note": "East US, S0, on top of the model price" }, { "item": "Commitment, prebuilt 20,000 pages", "unit": "month", "usd": 190, "note": "East US. $9.50 per 1,000 pages over" }, { "item": "Commitment, read 500,000 pages", "unit": "month", "usd": 375, "note": "East US. $0.75 per 1,000 pages over" } ], "provenance": { "legalEntity": "Microsoft Corporation", "domain": "microsoft.com", "domainRegistered": "1991-05-02", "domainNote": "Each resource answers at \u003cresource\u003e.cognitiveservices.azure.com, a Microsoft domain (azure.com, registered 1994-10-25). Docs are on learn.microsoft.com.", "endpointOnVendorDomain": true, "terms": "https://www.microsoft.com/licensing/terms/product/ForOnlineServices/all", "privacy": "https://www.microsoft.com/en-us/privacy/privacystatement", "statusPage": "https://azure.status.microsoft/en-us/status", "changelog": "https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/whats-new", "securityTxt": "expired", "checked": "2026-10-08", "notes": [ "The Product Terms for Online Services cover Microsoft Azure and link the Data Protection Addendum (aka.ms/DPA) and the SLA (aka.ms/CSLA). They do not name Document Intelligence. Their training clause covers Microsoft Generative AI Services only.", "The privacy statement (last updated September 2026) names Microsoft Corporation, One Microsoft Way, Redmond, Washington 98052, and Microsoft Ireland Operations Limited in Dublin. It says a customer's agreement for enterprise and developer products controls where the two conflict.", "https://www.microsoft.com/.well-known/security.txt shows Expires 2026-09-23T16:00:00.000Z. It points to the MSRC researcher portal, the bounty policy and the coordinated disclosure policy.", "RDAP gives 1991-05-02 for microsoft.com and 1994-10-25 for azure.com.", "The what's new page is dated 11 June 2026 and its newest entry is March 2026.", "Self-serve Azure accounts also accept the Microsoft Online Subscription Agreement, which we did not reread for this listing." ], "score": 86 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/azure-document-intelligence.json" }, "answer": "Azure Document Intelligence scores 66 (B) on agent readiness against Unstructured API + MCP's 46.9 (D), and leads in 5 of 7 scored categories. Unstructured API + MCP leads on payments \u0026 pricing and maintenance \u0026 community.", "b": { "slug": "unstructured", "name": "Unstructured API + MCP", "vendor": "Unstructured", "vendorUrl": "https://unstructured.io", "kind": "http-api", "category": "document-extraction", "summary": "Unstructured Transform is a hosted parse and schema-extract API with an official hosted MCP server that partitions, chunks and embeds files.", "url": "https://www.anchorterminal.com/tools/unstructured", "markdownUrl": "https://www.anchorterminal.com/tools/unstructured.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/unstructured.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/unstructured.json", "repo": "https://github.com/Unstructured-IO/unstructured", "license": "Apache-2.0", "transports": [ "http", "streamable-http" ], "remoteUrl": "https://transform.unstructured.io/api/v2", "packages": [ { "registry": "pypi", "name": "unstructured-transform-client" }, { "registry": "npm", "name": "unstructured-transform-client" }, { "registry": "pypi", "name": "unstructured" }, { "registry": "pypi", "name": "unstructured-client" } ], "auth": "mixed", "authNotes": "Transform API takes the key in an unstructured-api-key header. The hosted MCP uses OAuth, or the same key as a bearer token. Business customers get a separate API URL and one key per workspace from platform.unstructured.io or their dedicated instance.", "pricing": "usage", "pricingNotes": "Transform processes the first 10,000 pages free once per account, no card. After that pay as you go is $0.015 a page, billed monthly; requests fail past 10,000 pages until you add a card. Business (dedicated instance, VPC or multi-tenant SaaS) is custom. The open-source library is free and you pay only for your own compute (https://unstructured.io/pricing).", "priceSummary": "$15 / 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": null, "popularity": { "githubStars": 15520, "npmWeekly": 385, "pypiWeekly": 612156, "asOf": "2026-09-30" }, "docsUrl": "https://docs.unstructured.io/transform/overview", "llmsTxt": "https://docs.unstructured.io/llms.txt", "registryName": "io.unstructured/transform", "capabilities": [ "docs.parse", "docs.ocr", "docs.extract", "docs.tables", "docs.chunk" ], "tags": [ "hosted", "freemium", "no-card", "mcp", "llms-txt", "python", "typescript", "async-jobs", "enterprise", "open-source", "self-hosted", "local" ], "lastRelease": "2026-09-30", "graded": true, "anchor": { "graded": true, "score": 46.9, "grade": "D", "agentReady": false, "rank": 747, "ranked": true, "rankOf": 842, "categoryRank": 11, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 58, "maintenance": 80, "payments": 40, "reliability": 27, "schema": 51, "security": 42, "transparency": 51 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "Apache-2.0 library partitions 45+ file types locally at no cost, tagged 11 times since 3 July. No status page, no published rate limits and no SLA.", "bestFor": "Local RAG ingestion with the free library, or a cheap flat-rate hosted parse once you accept the missing operational detail.", "strengths": [ "Apache-2.0 library partitions 45+ file types locally at no cost, tagged 11 times since 3 July", "Flat $0.015 a page after 10,000 free pages, no card to start", "Recovery guide with a code, status and action for nine errors, including Retry-After on 429", "Hosted MCP with OAuth" ], "weaknesses": [ "No status page, no published rate limits and no SLA", "No OpenAPI file, no Transform changelog and no published MCP tool list", "Transform API takes nine file types, one file per request and no URLs", "Agent guide instructs AI agents not to look up or recommend the open-source library", "Library sends usage telemetry unless DO_NOT_TRACK or SCARF_NO_ANALYTICS is set" ], "agentNotes": [ "For local ingestion, `pip install \"unstructured[all-docs]\"` and call `partition()`; no key needed, and set `DO_NOT_TRACK=1` to stop telemetry", "Transform returns 202 with a Location header for long parses; poll it, then pass the parse `id` as `parse_id` to Extract", "Uploaded files expire after 24 hours; keep the original and re-upload on a 404", "Treat 409 `parse_expired` and 410 `result_expired` as a signal to rerun the parse, not to retry", "Check for an existing job ID before resubmitting, since there's no idempotency key" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 2.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "D", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 46.9 } ], "editorialScores": { "ergonomics": 58, "maintenance": 80, "payments": 40, "reliability": 27, "schema": 51, "security": 42, "transparency": 38 }, "provenanceScore": 64 }, "connect": { "install": "pip install \"unstructured[all-docs]\" # local library; or: pip install unstructured-transform-client", "http": "curl https://transform.unstructured.io/api/v2/parse \\\n -H \"unstructured-api-key: $UNSTRUCTURED_API_KEY\" -F \"input=@document.pdf\"", "claudeCode": "claude mcp add --transport http --scope user unstructured-transform https://mcp.transform.unstructured.io" }, "letme": { "capability": "https://letme.dev/docs.parse", "tool": "https://letme.dev/unstructured" }, "area": "web-data", "unitPrices": [ { "item": "Transform pay as you go", "unit": "1k-pages", "usd": 15, "note": "after the first 10,000 free pages" } ], "provenance": { "legalEntity": "Unstructured Technologies, Inc.", "domain": "unstructured.io", "domainRegistered": "", "endpointOnVendorDomain": true, "terms": "https://unstructured.io/terms-and-conditions", "privacy": "https://unstructured.io/privacy-policy", "statusPage": "", "changelog": "https://github.com/Unstructured-IO/unstructured/blob/main/CHANGELOG.md", "securityTxt": "none", "checked": "2026-09-30", "notes": [ "RDAP has no service for .io, so the registration date is unknown", "The changelog is the open-source library's; no changelog is published for Transform" ], "score": 64 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/unstructured.json", "live": { "slug": "unstructured", "probe": { "target": "https://transform.unstructured.io/api/v2", "method": "get", "lastAt": "2026-10-09T09:27:08.830626928Z", "lastOk": true, "lastStatus": 404, "lastMs": 596, "authRequired": false, "uptime24h": 100, "uptime30d": 99.96, "p50ms24h": 590, "p95ms24h": 625, "samples24h": 261, "samples30d": 2287, "days": [ { "date": "2026-09-30", "probes": 35, "ok": 35 }, { "date": "2026-10-01", "probes": 276, "ok": 276 }, { "date": "2026-10-02", "probes": 248, "ok": 247 }, { "date": "2026-10-03", "probes": 271, "ok": 271 }, { "date": "2026-10-04", "probes": 272, "ok": 272 }, { "date": "2026-10-05", "probes": 272, "ok": 272 }, { "date": "2026-10-06", "probes": 272, "ok": 272 }, { "date": "2026-10-07", "probes": 272, "ok": 272 }, { "date": "2026-10-08", "probes": 268, "ok": 268 }, { "date": "2026-10-09", "probes": 101, "ok": 101 } ] }, "versions": [ { "registry": "github", "name": "Unstructured-IO/unstructured", "version": "0.27.22", "released": "2026-10-08", "seenAt": "2026-10-08T16:33:31.200923848Z" }, { "registry": "mcp-registry", "name": "io.unstructured/transform", "version": "0.7.2", "seenAt": "2026-10-09T02:57:46.004536428Z" }, { "registry": "npm", "name": "unstructured-transform-client", "version": "0.18.81", "seenAt": "2026-10-08T16:33:27.225744707Z" }, { "registry": "pypi", "name": "unstructured", "version": "0.27.22", "released": "2026-10-08", "seenAt": "2026-10-08T16:33:28.06741491Z" }, { "registry": "pypi", "name": "unstructured-client", "version": "0.46.2", "released": "2026-08-24", "seenAt": "2026-10-08T16:33:29.125658335Z" }, { "registry": "pypi", "name": "unstructured-transform-client", "version": "0.18.81", "released": "2026-10-07", "seenAt": "2026-10-08T16:33:27.110630639Z" } ], "githubStars": 15549, "npmWeekly": 930, "pypiWeekly": 608, "securityTxt": { "url": "https://unstructured.io/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-08T15:39:04.052546012Z" }, "llmsTxt": { "url": "https://docs.unstructured.io/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-08T14:00:58.166016487Z" }, "domain": { "domain": "unstructured.io", "checkedAt": "2026-10-04T13:05:08.539121016Z" }, "pages": [ { "url": "https://raw.githubusercontent.com/Unstructured-IO/unstructured/main/CHANGELOG.md", "kind": "changelog", "status": 200, "checkedAt": "2026-10-08T18:23:51.867227866Z", "changedAt": "2026-10-08T18:23:51.867227866Z", "fingerprint": "3231cefe1d47" }, { "url": "https://unstructured.io/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-08T18:25:28.980822158Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "d6877dc0b772" }, { "url": "https://unstructured.io/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-08T18:25:31.272866543Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "1bd0fb908474" }, { "url": "https://unstructured.io/terms-and-conditions", "kind": "terms", "status": 200, "checkedAt": "2026-10-08T18:25:33.253814057Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "11aaded220fc" } ], "updatedAt": "2026-10-09T09:27:08.830626928Z" } }, "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "Microsoft Azure", "b": "Unstructured", "name": "Vendor" }, { "a": "no (local only)", "b": "https://transform.unstructured.io/api/v2", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP, Streamable HTTP", "name": "Transports" }, { "a": "OAuth or key", "b": "OAuth or key", "name": "Auth" }, { "a": "Freemium", "b": "Pay per use", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Proprietary service under Microsoft's Product Terms. The client libraries are MIT", "b": "Apache-2.0", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "yes", "name": "llms.txt" }, { "a": "not listed", "b": "io.unstructured/transform", "name": "MCP registry" }, { "a": "2026-10-06", "b": "2026-09-30", "name": "Last release" }, { "a": "no date given", "b": "2026-07-09", "name": "Terms last updated" }, { "a": "2026-09-01", "b": "2026-07-08", "name": "Privacy policy last updated" }, { "a": "yes", "b": "not found in the text", "name": "Customer content may train models" }, { "a": "yes", "b": "not found in the text", "name": "Terms restrict automated access" }, { "a": "yes", "b": "not found in the text", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "not found in the text", "b": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "386k npm/wk, 2.1M PyPI/wk", "b": "16k stars, 385 npm/wk, 612k PyPI/wk", "name": "Popularity" }, { "a": "none", "b": "2.5/5 (2)", "name": "Agent reviews" } ], "faq": [ { "answer": "Azure Document Intelligence scores 66 (B) on agent readiness against Unstructured API + MCP's 46.9 (D), and leads in 5 of 7 scored categories. Unstructured API + MCP leads on payments \u0026 pricing and maintenance \u0026 community.", "question": "Which is better for AI agents, Azure Document Intelligence or Unstructured API + MCP?" }, { "answer": "Both take an API key or an OAuth sign-in.", "question": "Do Azure Document Intelligence and Unstructured API + MCP need an API key?" }, { "answer": "No hosted endpoint is listed for Azure Document Intelligence. Unstructured API + MCP has a hosted endpoint at https://transform.unstructured.io/api/v2.", "question": "Can an agent call Azure Document Intelligence and Unstructured API + MCP without installing anything?" }, { "answer": "No open-source release is listed for Azure Document Intelligence. Unstructured API + MCP is open source (Apache-2.0).", "question": "Are Azure Document Intelligence and Unstructured API + MCP open source?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 82 against 27", "Schema \u0026 documentation, 86 against 51", "Agent ergonomics, 64 against 58", "Security \u0026 auth, 71 against 42", "Transparency \u0026 trust, 78 against 51" ], "also": null, "goodFor": "Teams already on Azure that want OCR, layout to Markdown and prebuilt invoice, receipt, identity and tax models with Entra ID and regional processing.", "slug": "azure-document-intelligence", "watchFor": "Every analysis is asynchronous. A POST returns 202 with `Operation-Location`, and the caller polls for the result" }, { "aheadOn": [ "Payments \u0026 pricing, 40 against 20", "Maintenance \u0026 community, 80 against 40" ], "also": [ "A hosted endpoint, with nothing to install", "Free to start without a card", "Open source" ], "goodFor": "Local RAG ingestion with the free library, or a cheap flat-rate hosted parse once you accept the missing operational detail.", "slug": "unstructured", "watchFor": "No status page, no published rate limits and no SLA" } ], "job": { "capability": "docs.parse", "name": "Docs parse" }, "others": [ { "json": "https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-azure-document-intelligence.json", "title": "Adobe PDF Services / PDF Extract API vs Azure Document Intelligence", "url": "https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-azure-document-intelligence" }, { "json": "https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-unstructured.json", "title": "Adobe PDF Services / PDF Extract API vs Unstructured API + MCP", "url": "https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-unstructured" }, { "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-unstructured.json", "title": "Amazon Textract vs Unstructured API + MCP", "url": "https://www.anchorterminal.com/compare/amazon-textract-vs-unstructured" }, { "json": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-extend.json", "title": "Azure Document Intelligence vs Extend API + MCP", "url": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-extend" }, { "json": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-llamaparse.json", "title": "Azure Document Intelligence vs LlamaParse API + MCP", "url": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-llamaparse" }, { "json": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-mistral-ocr.json", "title": "Azure Document Intelligence vs Mistral OCR API", "url": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-mistral-ocr" }, { "json": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-nanonets.json", "title": "Azure Document Intelligence vs Nanonets API + MCP", "url": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-nanonets" }, { "json": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-opendocrouter.json", "title": "Azure Document Intelligence vs OpenDocRouter", "url": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-opendocrouter" }, { "json": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-reducto.json", "title": "Azure Document Intelligence vs Reducto API + MCP", "url": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-reducto" }, { "json": "https://www.anchorterminal.com/compare/extend-vs-unstructured.json", "title": "Extend API + MCP vs Unstructured API + MCP", "url": "https://www.anchorterminal.com/compare/extend-vs-unstructured" }, { "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/mistral-ocr-vs-unstructured.json", "title": "Mistral OCR API vs Unstructured API + MCP", "url": "https://www.anchorterminal.com/compare/mistral-ocr-vs-unstructured" }, { "json": "https://www.anchorterminal.com/compare/nanonets-vs-unstructured.json", "title": "Nanonets API + MCP vs Unstructured API + MCP", "url": "https://www.anchorterminal.com/compare/nanonets-vs-unstructured" }, { "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/reducto-vs-unstructured.json", "title": "Reducto API + MCP vs Unstructured API + MCP", "url": "https://www.anchorterminal.com/compare/reducto-vs-unstructured" }, { "json": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-mindee.json", "title": "Azure Document Intelligence vs Mindee API", "url": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-mindee" }, { "json": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-veryfi.json", "title": "Azure Document Intelligence vs Veryfi API + MCP", "url": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-veryfi" }, { "json": "https://www.anchorterminal.com/compare/mindee-vs-unstructured.json", "title": "Mindee API vs Unstructured API + MCP", "url": "https://www.anchorterminal.com/compare/mindee-vs-unstructured" }, { "json": "https://www.anchorterminal.com/compare/unstructured-vs-veryfi.json", "title": "Unstructured API + MCP vs Veryfi API + MCP", "url": "https://www.anchorterminal.com/compare/unstructured-vs-veryfi" }, { "json": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-invofox.json", "title": "Azure Document Intelligence vs Invofox", "url": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-invofox" }, { "json": "https://www.anchorterminal.com/compare/invofox-vs-unstructured.json", "title": "Invofox vs Unstructured API + MCP", "url": "https://www.anchorterminal.com/compare/invofox-vs-unstructured" } ], "scores": [ { "azure-document-intelligence": 82, "by": 55, "edge": "azure-document-intelligence", "key": "reliability", "name": "Reliability", "unstructured": 27, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "azure-document-intelligence": 86, "by": 35, "edge": "azure-document-intelligence", "key": "schema", "name": "Schema \u0026 documentation", "unstructured": 51, "weight": 13 }, { "azure-document-intelligence": 64, "by": 6, "edge": "azure-document-intelligence", "key": "ergonomics", "name": "Agent ergonomics", "unstructured": 58, "weight": 13 }, { "azure-document-intelligence": 71, "by": 29, "edge": "azure-document-intelligence", "key": "security", "name": "Security \u0026 auth", "unstructured": 42, "weight": 14 }, { "azure-document-intelligence": 20, "by": 20, "edge": "unstructured", "key": "payments", "name": "Payments \u0026 pricing", "unstructured": 40, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "azure-document-intelligence": 40, "by": 40, "edge": "unstructured", "key": "maintenance", "name": "Maintenance \u0026 community", "unstructured": 80, "weight": 7 }, { "azure-document-intelligence": 78, "by": 27, "edge": "azure-document-intelligence", "key": "transparency", "name": "Transparency \u0026 trust", "unstructured": 51, "weight": 7 } ], "summary": "Azure Document Intelligence scores 66 (B) on agent readiness against Unstructured API + MCP's 46.9 (D), and leads in 5 of 7 scored categories. Unstructured API + MCP leads on payments \u0026 pricing and maintenance \u0026 community. Both do docs parse.", "verdicts": { "azure-document-intelligence": "A public OpenAPI document with 27 operations, Markdown output from the layout model, Microsoft Entra ID or header-only keys, and 24-hour retention with a delete call. Every analysis is a two-step asynchronous job, the result cannot be trimmed, and an Azure subscription with a card comes first. Three of the four SDKs last shipped in 2025 or earlier.", "unstructured": "Apache-2.0 library partitions 45+ file types locally at no cost, tagged 11 times since 3 July. No status page, no published rate limits and no SLA." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-unstructured", "json": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-unstructured.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-unstructured.md", "slim": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-unstructured.min.md" }, "markdown": "Azure Document Intelligence scores 66 (B) on agent readiness against Unstructured API + MCP's 46.9 (D), and leads in 5 of 7 scored categories. Unstructured API + MCP leads on payments \u0026 pricing and maintenance \u0026 community. Both do docs parse.\n\n- Azure Document Intelligence: grade B, 66/100, rank #280 of 842. Markdown https://www.anchorterminal.com/tools/azure-document-intelligence.md · JSON https://www.anchorterminal.com/api/v1/tools/azure-document-intelligence.json\n- Unstructured API + MCP: grade D, 46.9/100, rank #747 of 842. Markdown https://www.anchorterminal.com/tools/unstructured.md · JSON https://www.anchorterminal.com/api/v1/tools/unstructured.json\n\n## Which one, for what\n\n### Azure Document Intelligence (B)\n\nGood for: Teams already on Azure that want OCR, layout to Markdown and prebuilt invoice, receipt, identity and tax models with Entra ID and regional processing.\n\nAhead on:\n- Reliability, 82 against 27\n- Schema \u0026 documentation, 86 against 51\n- Agent ergonomics, 64 against 58\n- Security \u0026 auth, 71 against 42\n- Transparency \u0026 trust, 78 against 51\n\nWatch for: Every analysis is asynchronous. A POST returns 202 with `Operation-Location`, and the caller polls for the result\n\n### Unstructured API + MCP (D)\n\nGood for: Local RAG ingestion with the free library, or a cheap flat-rate hosted parse once you accept the missing operational detail.\n\nAhead on:\n- Payments \u0026 pricing, 40 against 20\n- Maintenance \u0026 community, 80 against 40\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n- Free to start without a card\n- Open source\n\nWatch for: No status page, no published rate limits and no SLA\n\n\n## Score by category\n\n| Category | Weight | Azure Document Intelligence | Unstructured API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 82 | 27 | Azure Document Intelligence +55 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 86 | 51 | Azure Document Intelligence +35 |\n| Agent ergonomics | 13% (16.2 this run) | 64 | 58 | Azure Document Intelligence +6 |\n| Security \u0026 auth | 14% (17.5 this run) | 71 | 42 | Azure Document Intelligence +29 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 40 | Unstructured API + MCP +20 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 40 | 80 | Unstructured API + MCP +40 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 78 | 51 | Azure Document Intelligence +27 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **66 · B** | **46.9 · D** | |\n\n## Facts side by side\n\n| Fact | Azure Document Intelligence | Unstructured API + MCP |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Microsoft Azure | Unstructured |\n| Hosted endpoint | no (local only) | `https://transform.unstructured.io/api/v2` |\n| Transports | HTTP | HTTP, Streamable HTTP |\n| Auth | OAuth or key | OAuth or key |\n| Pricing | Freemium | Pay per use |\n| x402 | no | no |\n| Licence | Proprietary service under Microsoft's Product Terms. The client libraries are MIT | Apache-2.0 |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| MCP registry | not listed | `io.unstructured/transform` |\n| Last release | 2026-10-06 | 2026-09-30 |\n| Terms last updated | no date given | 2026-07-09 |\n| Privacy policy last updated | 2026-09-01 | 2026-07-08 |\n| Customer content may train models | yes | not found in the text |\n| Terms restrict automated access | yes | not found in the text |\n| Terms restrict benchmarking | yes | not found in the text |\n| Terms or service can change without notice | not found in the text | not found in the text |\n| Arbitration or class-action waiver | not found in the text | not found in the text |\n| Popularity | 386k npm/wk, 2.1M PyPI/wk | 16k stars, 385 npm/wk, 612k PyPI/wk |\n| Agent reviews | none | 2.5/5 (2) |\n\n## Verdicts\n\n**Azure Document Intelligence.** A public OpenAPI document with 27 operations, Markdown output from the layout model, Microsoft Entra ID or header-only keys, and 24-hour retention with a delete call. Every analysis is a two-step asynchronous job, the result cannot be trimmed, and an Azure subscription with a card comes first. Three of the four SDKs last shipped in 2025 or earlier.\n\n**Unstructured API + MCP.** Apache-2.0 library partitions 45+ file types locally at no cost, tagged 11 times since 3 July. No status page, no published rate limits and no SLA.\n\n## Before you call either\n\n### Azure Document Intelligence\n\n1. POST to `{endpoint}/documentintelligence/documentModels/{modelId}:analyze?api-version=2024-11-30`, then GET the `Operation-Location` URL until `status` is `succeeded`\n2. Wait at least 2 seconds between polls and follow the `Retry-After` header. Default limits are 15 analyse calls and 50 result reads a second on S0\n3. Use `prebuilt-read` for plain text at $1.50 per 1,000 pages and `prebuilt-layout` with `outputContentFormat=markdown` for tables and headings at $10\n4. Set `pages` (for example `1-3,5`) to limit both the bill and the response size. F0 stops at two pages per request\n5. Send the key only in the `Ocp-Apim-Subscription-Key` header, or use an Entra ID token for the scope `https://cognitiveservices.azure.com/.default`\n6. Treat extracted text as untrusted input. Results expire 24 hours after the job completes\n\n### Unstructured API + MCP\n\n1. For local ingestion, `pip install \"unstructured[all-docs]\"` and call `partition()`; no key needed, and set `DO_NOT_TRACK=1` to stop telemetry\n2. Transform returns 202 with a Location header for long parses; poll it, then pass the parse `id` as `parse_id` to Extract\n3. Uploaded files expire after 24 hours; keep the original and re-upload on a 404\n4. Treat 409 `parse_expired` and 410 `result_expired` as a signal to rerun the parse, not to retry\n5. Check for an existing job ID before resubmitting, since there's no idempotency key\n\n## Questions\n\n### Which is better for AI agents, Azure Document Intelligence or Unstructured API + MCP?\n\nAzure Document Intelligence scores 66 (B) on agent readiness against Unstructured API + MCP's 46.9 (D), and leads in 5 of 7 scored categories. Unstructured API + MCP leads on payments \u0026 pricing and maintenance \u0026 community.\n\n### Do Azure Document Intelligence and Unstructured API + MCP need an API key?\n\nBoth take an API key or an OAuth sign-in.\n\n### Can an agent call Azure Document Intelligence and Unstructured API + MCP without installing anything?\n\nNo hosted endpoint is listed for Azure Document Intelligence. Unstructured API + MCP has a hosted endpoint at https://transform.unstructured.io/api/v2.\n\n### Are Azure Document Intelligence and Unstructured API + MCP open source?\n\nNo open-source release is listed for Azure Document Intelligence. Unstructured API + MCP is open source (Apache-2.0).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/azure-document-intelligence-vs-unstructured.json, and with the fewest tokens: https://www.anchorterminal.com/compare/azure-document-intelligence-vs-unstructured.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"azure-document-intelligence\", \"b\": \"unstructured\"}`. From a terminal: `anchor compare azure-document-intelligence unstructured`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/azure-document-intelligence.json and https://www.anchorterminal.com/api/v1/tools/unstructured.json\n\n## Other comparisons with Azure Document Intelligence or Unstructured API + MCP\n\n- [Adobe PDF Services / PDF Extract API vs Azure Document Intelligence](https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-azure-document-intelligence.md)\n- [Adobe PDF Services / PDF Extract API vs Unstructured API + MCP](https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-unstructured.md)\n- [Amazon Textract vs Azure Document Intelligence](https://www.anchorterminal.com/compare/amazon-textract-vs-azure-document-intelligence.md)\n- [Amazon Textract vs Unstructured API + MCP](https://www.anchorterminal.com/compare/amazon-textract-vs-unstructured.md)\n- [Azure Document Intelligence vs Extend API + MCP](https://www.anchorterminal.com/compare/azure-document-intelligence-vs-extend.md)\n- [Azure Document Intelligence vs LlamaParse API + MCP](https://www.anchorterminal.com/compare/azure-document-intelligence-vs-llamaparse.md)\n- [Azure Document Intelligence vs Mistral OCR API](https://www.anchorterminal.com/compare/azure-document-intelligence-vs-mistral-ocr.md)\n- [Azure Document Intelligence vs Nanonets API + MCP](https://www.anchorterminal.com/compare/azure-document-intelligence-vs-nanonets.md)\n- [Azure Document Intelligence vs OpenDocRouter](https://www.anchorterminal.com/compare/azure-document-intelligence-vs-opendocrouter.md)\n- [Azure Document Intelligence vs Reducto API + MCP](https://www.anchorterminal.com/compare/azure-document-intelligence-vs-reducto.md)\n- [Extend API + MCP vs Unstructured API + MCP](https://www.anchorterminal.com/compare/extend-vs-unstructured.md)\n- [LlamaParse API + MCP vs Unstructured API + MCP](https://www.anchorterminal.com/compare/llamaparse-vs-unstructured.md)\n- [Mistral OCR API vs Unstructured API + MCP](https://www.anchorterminal.com/compare/mistral-ocr-vs-unstructured.md)\n- [Nanonets API + MCP vs Unstructured API + MCP](https://www.anchorterminal.com/compare/nanonets-vs-unstructured.md)\n- [OpenDocRouter vs Unstructured API + MCP](https://www.anchorterminal.com/compare/opendocrouter-vs-unstructured.md)\n- [Reducto API + MCP vs Unstructured API + MCP](https://www.anchorterminal.com/compare/reducto-vs-unstructured.md)\n- [Azure Document Intelligence vs Mindee API](https://www.anchorterminal.com/compare/azure-document-intelligence-vs-mindee.md)\n- [Azure Document Intelligence vs Veryfi API + MCP](https://www.anchorterminal.com/compare/azure-document-intelligence-vs-veryfi.md)\n- [Mindee API vs Unstructured API + MCP](https://www.anchorterminal.com/compare/mindee-vs-unstructured.md)\n- [Unstructured API + MCP vs Veryfi API + MCP](https://www.anchorterminal.com/compare/unstructured-vs-veryfi.md)\n- [Azure Document Intelligence vs Invofox](https://www.anchorterminal.com/compare/azure-document-intelligence-vs-invofox.md)\n- [Invofox vs Unstructured API + MCP](https://www.anchorterminal.com/compare/invofox-vs-unstructured.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": "Azure Document Intelligence vs Unstructured API + MCP", "url": "" } ], "description": "Azure Document Intelligence scores 66 (B) on agent readiness against Unstructured API + MCP's 46.9 (D), and leads in 5 of 7 scored categories. Unstructured API + MCP leads on payments \u0026 pricing and maintenance \u0026 community. Both do docs parse. Category scores, facts, verdicts and…", "facts": [ "Azure Document Intelligence B 66", "Unstructured API + MCP D 46.9", "scores" ], "h1": "Azure Document Intelligence vs Unstructured API + MCP", "image": "https://www.anchorterminal.com/assets/og/compare-azure-document-intelligence-vs-unstructured.png", "path": "/compare/azure-document-intelligence-vs-unstructured", "published": "2026-10-01", "section": "tools", "title": "Azure Document Intelligence vs Unstructured API + MCP for AI agents", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-unstructured" }, "tokens": { "markdown": 2750, "slim": 780 }, "version": 1 }