{ "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": 305, "ranked": true, "rankOf": 950, "categoryRank": 4, "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", "live": { "slug": "azure-document-intelligence", "versions": [ { "registry": "github", "name": "Azure/azure-sdk-for-python", "version": "azure-ai-evaluation_1.18.8", "released": "2026-10-09", "seenAt": "2026-10-09T16:41:39.340213756Z" }, { "registry": "npm", "name": "@azure-rest/ai-document-intelligence", "version": "1.1.0", "seenAt": "2026-10-09T16:41:38.791827206Z" }, { "registry": "pypi", "name": "azure-ai-documentintelligence", "version": "1.0.2", "released": "2025-03-27", "seenAt": "2026-10-09T16:41:38.555165301Z" } ], "githubStars": 5614, "npmWeekly": 310054, "pypiWeekly": 2171899, "securityTxt": { "url": "https://microsoft.com/.well-known/security.txt", "state": "expired", "expires": "2026-09-23T16:00:00.000Z", "checkedAt": "2026-10-09T15:40:16.790821018Z" }, "pages": [ { "url": "https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/whats-new", "kind": "changelog", "status": 200, "checkedAt": "2026-10-09T18:41:07.756128139Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "2895259393d6" }, { "url": "https://azure.microsoft.com/en-us/pricing/details/document-intelligence/", "kind": "pricing", "status": 200, "checkedAt": "2026-10-09T18:32:55.90133372Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "7aa0ed8a2d02" }, { "url": "https://prices.azure.com/api/retail/prices?$filter=serviceName%20eq%20%27Foundry%20Tools%27%20and%20armRegionName%20eq%20%27eastus%27%20and%20contains(productName", "kind": "pricing", "status": 400, "checkedAt": "2026-10-09T18:43:54.397943091Z", "changedAt": "0001-01-01T00:00:00Z" } ], "updatedAt": "2026-10-09T18:43:54.397943091Z" } }, "answer": "LandingAI Agentic Document Extraction scores 69 (B) on agent readiness against Azure Document Intelligence's 66 (B), and leads in 5 of 7 scored categories. Azure Document Intelligence leads on security \u0026 auth and transparency \u0026 trust.", "b": { "slug": "landingai-agentic-document-extraction", "name": "LandingAI Agentic Document Extraction", "vendor": "LandingAI, Inc.", "vendorUrl": "https://landing.ai", "kind": "http-api", "category": "document-extraction", "summary": "LandingAI's Agentic Document Extraction is a hosted API that parses PDFs, images, Office files and spreadsheets into Markdown with page coordinates, then extracts fields against a JSON schema. Python and TypeScript libraries and a CLI call it.", "url": "https://www.anchorterminal.com/tools/landingai-agentic-document-extraction", "markdownUrl": "https://www.anchorterminal.com/tools/landingai-agentic-document-extraction.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/landingai-agentic-document-extraction.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/landingai-agentic-document-extraction.json", "repo": "https://github.com/landing-ai/ade-python", "license": "Proprietary service under LandingAI's terms for Agentic Document Extraction. The Python and TypeScript libraries and the CLI are Apache-2.0, and the skills repository is MIT", "transports": [ "http" ], "remoteUrl": "https://api.ade.landing.ai", "packages": [ { "registry": "pypi", "name": "landingai-ade" }, { "registry": "npm", "name": "landingai-ade" } ], "auth": "api-key", "authNotes": "A Bearer API key in the `Authorization` header, created by a person in the web app at ade.landing.ai after signup. Access is self-serve with no review. The Explore plan has one key, which cannot be deleted or revoked (support replaces a leaked key by email). Team and Enterprise organisations create several named keys and revoke them, and Admin and Developer roles decide who may revoke. Keys have no scopes and are specific to the US or EU deployment. Enterprise adds SSO and an IP allowlist. The CLI also accepts a browser login.", "pricing": "usage", "pricingNotes": "A credit costs $0.01 on the Explore and Team plans, and signup includes 1,000 free credits with no card, so an agent's owner can start without a contract. DPT-3 Pro parsing consumes 1 credit a page plus 0.5 credits per 1,000 output characters on the priority tier and half that on the standard tier. Extract is charged per input and output character, and Ground is free. Team plans start at $250 a month. Enterprise prices are on request (https://docs.landing.ai/ade/ade-pricing, checked 2026-10-09).", "priceSummary": "$0.01 / credit", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs index, the OpenAPI description or the pricing pages (checked 2026-10-09).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-09" }, "docsUrl": "https://docs.landing.ai/dpt3/overview", "llmsTxt": "https://docs.landing.ai/llms.txt", "openapi": "https://docs.landing.ai/dpt3/openapi-adev2.json", "capabilities": [ "docs.parse", "docs.extract", "docs.tables", "docs.ocr", "docs.chunk", "docs.classify" ], "tags": [ "hosted", "api-key", "openapi", "llms-txt", "python", "typescript", "cli", "webhooks", "async-jobs", "eu-region", "status-page", "soc2", "closed-source" ], "lastRelease": "2026-09-22", "graded": true, "anchor": { "graded": true, "score": 69, "grade": "B", "agentReady": false, "rank": 199, "ranked": true, "rankOf": 950, "categoryRank": 3, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 75, "maintenance": 85, "payments": 40, "reliability": 85, "schema": 88, "security": 43, "transparency": 63 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-09" }, "negative": 0, "verdict": "Parse, Extract and Ground have a public OpenAPI description, Markdown docs, published credit rates and page limits, and a status page showing no incident in 90 days. The Explore plan's single API key cannot be revoked without support, and the published terms let LandingAI train on customer documents unless Zero Data Retention, a Team and Enterprise setting, is on.", "bestFor": "Agents that need Markdown with block-level page coordinates and schema extraction with citations, in the US or EU.", "strengths": [ "Public OpenAPI 3.1 description of the nine Gen2 operations, `llms.txt`, `llms-full.txt` and a Markdown twin of every docs page", "Credit rates published per page and per 1,000 characters, and each response reports the credits it consumed in `metadata.billing`", "1,000 free credits on signup with no card, then $0.01 a credit on the Explore and Team plans", "status.landing.ai lists US and EU components for the product and no incident since 30 April 2026", "Troubleshooting pages list each status code and 422 message with its cause and fix, and say when credits are not consumed" ], "weaknesses": [ "The Explore plan has one API key that cannot be deleted or revoked. A leaked key is replaced by emailing support", "The published terms let LandingAI use customer materials and output to train its models. Zero Data Retention, which stops that, is a Team and Enterprise setting", "The terms forbid accessing the Solution through any agent, robot or tool LandingAI does not supply, and forbid benchmarking. This matters before any probe is run", "No idempotency key on job creation and no `Retry-After` header in the reviewed documentation", "No scoped or read-only keys, and no prompt-injection guidance for parsed document text was found", "The 18-hour-55-minute parsing incident of 30 April 2026 and two in February and March 2026 were attributed to a cloud provider" ], "agentNotes": [ "Send `Authorization: Bearer \u003ckey\u003e` to `https://api.ade.landing.ai/v2/parse`. EU keys work only on `https://api.ade.eu-west-1.landing.ai`", "Submit large files to `/v2/parse/jobs`. Synchronous parse times out at 475 seconds and is capped at the plan's pages-per-minute limit", "Leave jobs on the `standard` tier unless speed matters. It consumes half the credits of `priority`", "Run Extract on the Markdown that Parse returned, then call Ground for page numbers and boxes. Ground consumes no credits", "On a 429, read the message. One case clears with backoff and the other means the document is too large for the tier" ], "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": 69 } ], "editorialScores": { "ergonomics": 75, "maintenance": 85, "payments": 40, "reliability": 85, "schema": 88, "security": 43, "transparency": 49 }, "provenanceScore": 76 }, "connect": { "install": "pip install landingai-ade", "http": "curl -X POST 'https://api.ade.landing.ai/v2/parse' \\\n -H 'Authorization: Bearer YOUR_API_KEY' \\\n -F 'document=@document.pdf' \\\n -F 'model=dpt-3-pro-latest'", "claudeCode": "/plugin marketplace add landing-ai/ade-document-processing-skills\n/plugin install ade-document-processing@ade-document-processing-skills" }, "letme": { "capability": "https://letme.dev/docs.parse", "tool": "https://letme.dev/landingai-agentic-document-extraction" }, "area": "web-data", "unitPrices": [ { "item": "Credit (Explore and Team plans)", "unit": "credit", "usd": 0.01, "note": "1,000 free credits on signup" }, { "item": "DPT-3 Pro parse, standard tier, typical business page", "unit": "1k-pages", "usd": 15, "note": "vendor's median of 1.5 credits a page. Actual use is 0.5 credits a page plus 0.25 per 1,000 output characters" }, { "item": "Team plan, smallest credit pack", "unit": "month", "usd": 250, "note": "25,000 credits a month" } ], "provenance": { "legalEntity": "LandingAI, Inc.", "domain": "landing.ai", "domainRegistered": "2017-12-15", "endpointOnVendorDomain": true, "terms": "https://landing.ai/va-tos", "privacy": "https://landing.ai/privacy-policy", "statusPage": "https://status.landing.ai", "changelog": "https://docs.landing.ai/dpt3/changelog", "securityTxt": "none", "checked": "2026-10-09", "notes": [ "https://landing.ai/va-tos is titled Terms of Service (Agentic Document Extraction \u0026 Agentic Object Detection), names LandingAI, Inc., and carries no date. It is governed by California law.", "https://landing.ai/terms-of-service (last updated 6 May 2024) covers the platform services and LandingLens and says a Master Subscription Agreement supersedes it where one exists.", "landing.ai/robots.txt disallows `/legal/msa-ade-US-2026-02-11` and `/legal/msa-ade-EU-2026-02-11`. We did not read them, so we could not confirm whether an agreement dated 11 February 2026 replaces the terms we link.", "The privacy policy covers website visitors, service users and clients, names a data protection lead and EU and UK representatives, and shows no effective date in the text our reader received.", "https://landing.ai/.well-known/security.txt returns 404. The libraries' SECURITY.md asks for reports through GitHub private vulnerability reporting or support@landing.ai.", "RDAP for landing.ai gives a registration date of 2017-12-15 and Key-Systems GmbH as registrar.", "The trust centre at trust.landing.ai is drawn by script and showed our reader only its title, so the sub-processor list and compliance reports were not read." ], "score": 76 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/landingai-agentic-document-extraction.json", "live": { "slug": "landingai-agentic-document-extraction", "probe": { "target": "https://api.ade.landing.ai", "method": "get", "lastAt": "2026-10-10T02:07:13.693816637Z", "lastOk": true, "lastStatus": 404, "lastMs": 295, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 301, "p95ms24h": 363, "samples24h": 107, "samples30d": 107, "days": [ { "date": "2026-10-09", "probes": 85, "ok": 85 }, { "date": "2026-10-10", "probes": 22, "ok": 22 } ] }, "vendorStatus": { "page": "https://status.landing.ai", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-10T00:50:45.144124198Z" }, "versions": [ { "registry": "github", "name": "landing-ai/ade-python", "version": "v1.18.1", "released": "2026-09-17", "seenAt": "2026-10-09T17:01:18.849971761Z" }, { "registry": "npm", "name": "landingai-ade", "version": "2.13.1", "seenAt": "2026-10-09T17:01:18.017039484Z" }, { "registry": "pypi", "name": "landingai-ade", "version": "1.18.1", "released": "2026-09-17", "seenAt": "2026-10-09T17:01:17.817666514Z" } ], "githubStars": 1034, "npmWeekly": 5401, "pypiWeekly": 27686, "pages": [ { "url": "https://docs.landing.ai/dpt3/changelog", "kind": "changelog", "status": 200, "checkedAt": "2026-10-09T18:37:36.954323206Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "57bf76e17c06" }, { "url": "https://docs.landing.ai/ade/ade-pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-09T18:37:34.762764189Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "ad0ee52319b9" }, { "url": "https://landing.ai/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-09T18:40:52.205925369Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "2592e638a214" }, { "url": "https://landing.ai/va-tos", "kind": "terms", "status": 200, "checkedAt": "2026-10-09T18:40:54.687010711Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "0b8a537d9745" } ], "updatedAt": "2026-10-10T02:07:13.693816637Z" } }, "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "Microsoft Azure", "b": "LandingAI, Inc.", "name": "Vendor" }, { "a": "no (local only)", "b": "https://api.ade.landing.ai", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP", "name": "Transports" }, { "a": "OAuth or key", "b": "API key", "name": "Auth" }, { "a": "Freemium", "b": "Pay per use", "name": "Pricing" }, { "a": "not published", "b": "$15 per 1,000 pages", "name": "Price for document parsing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Proprietary service under Microsoft's Product Terms. The client libraries are MIT", "b": "Proprietary service under LandingAI's terms for Agentic Document Extraction. The Python and TypeScript libraries and the CLI are Apache-2.0, and the skills repository is MIT", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-06", "b": "2026-09-22", "name": "Last release" }, { "a": "no date given", "b": "no date given", "name": "Terms last updated" }, { "a": "2026-09-01", "b": "no date given", "name": "Privacy policy last updated" }, { "a": "yes", "b": "yes", "name": "Customer content may train models" }, { "a": "yes", "b": "yes", "name": "Terms restrict automated access" }, { "a": "yes", "b": "yes", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "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": "none", "name": "Popularity" } ], "faq": [ { "answer": "LandingAI Agentic Document Extraction scores 69 (B) on agent readiness against Azure Document Intelligence's 66 (B), and leads in 5 of 7 scored categories. Azure Document Intelligence leads on security \u0026 auth and transparency \u0026 trust.", "question": "Which is better for AI agents, Azure Document Intelligence or LandingAI Agentic Document Extraction?" }, { "answer": "Azure Document Intelligence takes an API key or an OAuth sign-in. LandingAI Agentic Document Extraction needs an API key.", "question": "Do Azure Document Intelligence and LandingAI Agentic Document Extraction need an API key?" }, { "answer": "No hosted endpoint is listed for Azure Document Intelligence. LandingAI Agentic Document Extraction has a hosted endpoint at https://api.ade.landing.ai.", "question": "Can an agent call Azure Document Intelligence and LandingAI Agentic Document Extraction without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Security \u0026 auth, 71 against 43", "Transparency \u0026 trust, 78 against 63" ], "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": [ "Agent ergonomics, 75 against 64", "Payments \u0026 pricing, 40 against 20", "Maintenance \u0026 community, 85 against 40" ], "also": [ "A hosted endpoint, with nothing to install" ], "goodFor": "Agents that need Markdown with block-level page coordinates and schema extraction with citations, in the US or EU.", "slug": "landingai-agentic-document-extraction", "watchFor": "The Explore plan has one API key that cannot be deleted or revoked. A leaked key is replaced by emailing support" } ], "job": { "capability": "docs.parse", "name": "Document parsing" }, "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-landingai-agentic-document-extraction.json", "title": "Adobe PDF Services / PDF Extract API vs LandingAI Agentic Document Extraction", "url": "https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-landingai-agentic-document-extraction" }, { "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-landingai-agentic-document-extraction.json", "title": "Amazon Textract vs LandingAI Agentic Document Extraction", "url": "https://www.anchorterminal.com/compare/amazon-textract-vs-landingai-agentic-document-extraction" }, { "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-google-cloud-document-ai.json", "title": "Azure Document Intelligence vs Google Cloud Document AI", "url": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-google-cloud-document-ai" }, { "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/azure-document-intelligence-vs-unstructured.json", "title": "Azure Document Intelligence vs Unstructured API + MCP", "url": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-unstructured" }, { "json": "https://www.anchorterminal.com/compare/extend-vs-landingai-agentic-document-extraction.json", "title": "Extend API + MCP vs LandingAI Agentic Document Extraction", "url": "https://www.anchorterminal.com/compare/extend-vs-landingai-agentic-document-extraction" }, { "json": "https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-landingai-agentic-document-extraction.json", "title": "Google Cloud Document AI vs LandingAI Agentic Document Extraction", "url": "https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-landingai-agentic-document-extraction" }, { "json": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-llamaparse.json", "title": "LandingAI Agentic Document Extraction vs LlamaParse API + MCP", "url": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-llamaparse" }, { "json": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-mistral-ocr.json", "title": "LandingAI Agentic Document Extraction vs Mistral OCR API", "url": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-mistral-ocr" }, { "json": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-nanonets.json", "title": "LandingAI Agentic Document Extraction vs Nanonets API + MCP", "url": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-nanonets" }, { "json": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-opendocrouter.json", "title": "LandingAI Agentic Document Extraction vs OpenDocRouter", "url": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-opendocrouter" }, { "json": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-reducto.json", "title": "LandingAI Agentic Document Extraction vs Reducto API + MCP", "url": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-reducto" }, { "json": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-unstructured.json", "title": "LandingAI Agentic Document Extraction vs Unstructured API + MCP", "url": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-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/landingai-agentic-document-extraction-vs-mindee.json", "title": "LandingAI Agentic Document Extraction vs Mindee API", "url": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-mindee" }, { "json": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-veryfi.json", "title": "LandingAI Agentic Document Extraction vs Veryfi API + MCP", "url": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-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-landingai-agentic-document-extraction.json", "title": "Invofox vs LandingAI Agentic Document Extraction", "url": "https://www.anchorterminal.com/compare/invofox-vs-landingai-agentic-document-extraction" } ], "scores": [ { "azure-document-intelligence": 82, "by": 3, "edge": "landingai-agentic-document-extraction", "key": "reliability", "landingai-agentic-document-extraction": 85, "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "azure-document-intelligence": 86, "by": 2, "edge": "landingai-agentic-document-extraction", "key": "schema", "landingai-agentic-document-extraction": 88, "name": "Schema \u0026 documentation", "weight": 13 }, { "azure-document-intelligence": 64, "by": 11, "edge": "landingai-agentic-document-extraction", "key": "ergonomics", "landingai-agentic-document-extraction": 75, "name": "Agent ergonomics", "weight": 13 }, { "azure-document-intelligence": 71, "by": 28, "edge": "azure-document-intelligence", "key": "security", "landingai-agentic-document-extraction": 43, "name": "Security \u0026 auth", "weight": 14 }, { "azure-document-intelligence": 20, "by": 20, "edge": "landingai-agentic-document-extraction", "key": "payments", "landingai-agentic-document-extraction": 40, "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "azure-document-intelligence": 40, "by": 45, "edge": "landingai-agentic-document-extraction", "key": "maintenance", "landingai-agentic-document-extraction": 85, "name": "Maintenance \u0026 community", "weight": 7 }, { "azure-document-intelligence": 78, "by": 15, "edge": "azure-document-intelligence", "key": "transparency", "landingai-agentic-document-extraction": 63, "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "LandingAI Agentic Document Extraction scores 69 (B) on agent readiness against Azure Document Intelligence's 66 (B), and leads in 5 of 7 scored categories. Azure Document Intelligence leads on security \u0026 auth and transparency \u0026 trust. Both do document parsing.", "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.", "landingai-agentic-document-extraction": "Parse, Extract and Ground have a public OpenAPI description, Markdown docs, published credit rates and page limits, and a status page showing no incident in 90 days. The Explore plan's single API key cannot be revoked without support, and the published terms let LandingAI train on customer documents unless Zero Data Retention, a Team and Enterprise setting, is on." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-landingai-agentic-document-extraction", "json": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-landingai-agentic-document-extraction.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-landingai-agentic-document-extraction.md", "slim": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-landingai-agentic-document-extraction.min.md" }, "markdown": "LandingAI Agentic Document Extraction scores 69 (B) on agent readiness against Azure Document Intelligence's 66 (B), and leads in 5 of 7 scored categories. Azure Document Intelligence leads on security \u0026 auth and transparency \u0026 trust. Both do document parsing.\n\n- Azure Document Intelligence: grade B, 66/100, rank #305 of 950. Markdown https://www.anchorterminal.com/tools/azure-document-intelligence.md · JSON https://www.anchorterminal.com/api/v1/tools/azure-document-intelligence.json\n- LandingAI Agentic Document Extraction: grade B, 69/100, rank #199 of 950. Markdown https://www.anchorterminal.com/tools/landingai-agentic-document-extraction.md · JSON https://www.anchorterminal.com/api/v1/tools/landingai-agentic-document-extraction.json\n- Best document parsing, OCR and extraction APIs for AI agents: https://www.anchorterminal.com/best/document-extraction/index.md\n- All 109 documents comparisons: https://www.anchorterminal.com/compare/document-extraction/index.md\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- Security \u0026 auth, 71 against 43\n- Transparency \u0026 trust, 78 against 63\n\nWatch for: Every analysis is asynchronous. A POST returns 202 with `Operation-Location`, and the caller polls for the result\n\n### LandingAI Agentic Document Extraction (B)\n\nGood for: Agents that need Markdown with block-level page coordinates and schema extraction with citations, in the US or EU.\n\nAhead on:\n- Agent ergonomics, 75 against 64\n- Payments \u0026 pricing, 40 against 20\n- Maintenance \u0026 community, 85 against 40\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n\nWatch for: The Explore plan has one API key that cannot be deleted or revoked. A leaked key is replaced by emailing support\n\n\n## Score by category\n\n| Category | Weight | Azure Document Intelligence | LandingAI Agentic Document Extraction | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 82 | 85 | LandingAI Agentic Document Extraction +3 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 86 | 88 | LandingAI Agentic Document Extraction +2 |\n| Agent ergonomics | 13% (16.2 this run) | 64 | 75 | LandingAI Agentic Document Extraction +11 |\n| Security \u0026 auth | 14% (17.5 this run) | 71 | 43 | Azure Document Intelligence +28 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 40 | LandingAI Agentic Document Extraction +20 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 40 | 85 | LandingAI Agentic Document Extraction +45 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 78 | 63 | Azure Document Intelligence +15 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **66 · B** | **69 · B** | |\n\n## Facts side by side\n\n| Fact | Azure Document Intelligence | LandingAI Agentic Document Extraction |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Microsoft Azure | LandingAI, Inc. |\n| Hosted endpoint | no (local only) | `https://api.ade.landing.ai` |\n| Transports | HTTP | HTTP |\n| Auth | OAuth or key | API key |\n| Pricing | Freemium | Pay per use |\n| Price for document parsing | not published | $15 per 1,000 pages |\n| x402 | no | no |\n| Licence | Proprietary service under Microsoft's Product Terms. The client libraries are MIT | Proprietary service under LandingAI's terms for Agentic Document Extraction. The Python and TypeScript libraries and the CLI are Apache-2.0, and the skills repository is MIT |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| Last release | 2026-10-06 | 2026-09-22 |\n| Terms last updated | no date given | no date given |\n| Privacy policy last updated | 2026-09-01 | no date given |\n| Customer content may train models | yes | yes |\n| Terms restrict automated access | yes | yes |\n| Terms restrict benchmarking | yes | yes |\n| Terms or service can change without notice | not found in the text | not found in the text |\n| Arbitration or class-action waiver | not found in the text | not found in the text |\n| Popularity | 386k npm/wk, 2.1M PyPI/wk | none |\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**LandingAI Agentic Document Extraction.** Parse, Extract and Ground have a public OpenAPI description, Markdown docs, published credit rates and page limits, and a status page showing no incident in 90 days. The Explore plan's single API key cannot be revoked without support, and the published terms let LandingAI train on customer documents unless Zero Data Retention, a Team and Enterprise setting, is on.\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### LandingAI Agentic Document Extraction\n\n1. Send `Authorization: Bearer \u003ckey\u003e` to `https://api.ade.landing.ai/v2/parse`. EU keys work only on `https://api.ade.eu-west-1.landing.ai`\n2. Submit large files to `/v2/parse/jobs`. Synchronous parse times out at 475 seconds and is capped at the plan's pages-per-minute limit\n3. Leave jobs on the `standard` tier unless speed matters. It consumes half the credits of `priority`\n4. Run Extract on the Markdown that Parse returned, then call Ground for page numbers and boxes. Ground consumes no credits\n5. On a 429, read the message. One case clears with backoff and the other means the document is too large for the tier\n\n## Questions\n\n### Which is better for AI agents, Azure Document Intelligence or LandingAI Agentic Document Extraction?\n\nLandingAI Agentic Document Extraction scores 69 (B) on agent readiness against Azure Document Intelligence's 66 (B), and leads in 5 of 7 scored categories. Azure Document Intelligence leads on security \u0026 auth and transparency \u0026 trust.\n\n### Do Azure Document Intelligence and LandingAI Agentic Document Extraction need an API key?\n\nAzure Document Intelligence takes an API key or an OAuth sign-in. LandingAI Agentic Document Extraction needs an API key.\n\n### Can an agent call Azure Document Intelligence and LandingAI Agentic Document Extraction without installing anything?\n\nNo hosted endpoint is listed for Azure Document Intelligence. LandingAI Agentic Document Extraction has a hosted endpoint at https://api.ade.landing.ai.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/azure-document-intelligence-vs-landingai-agentic-document-extraction.json, and with the fewest tokens: https://www.anchorterminal.com/compare/azure-document-intelligence-vs-landingai-agentic-document-extraction.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"azure-document-intelligence\", \"b\": \"landingai-agentic-document-extraction\"}`. From a terminal: `anchor compare azure-document-intelligence landingai-agentic-document-extraction`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/azure-document-intelligence.json and https://www.anchorterminal.com/api/v1/tools/landingai-agentic-document-extraction.json\n\n## Other comparisons with Azure Document Intelligence or LandingAI Agentic Document Extraction\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 LandingAI Agentic Document Extraction](https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-landingai-agentic-document-extraction.md)\n- [Amazon Textract vs Azure Document Intelligence](https://www.anchorterminal.com/compare/amazon-textract-vs-azure-document-intelligence.md)\n- [Amazon Textract vs LandingAI Agentic Document Extraction](https://www.anchorterminal.com/compare/amazon-textract-vs-landingai-agentic-document-extraction.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 Google Cloud Document AI](https://www.anchorterminal.com/compare/azure-document-intelligence-vs-google-cloud-document-ai.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- [Azure Document Intelligence vs Unstructured API + MCP](https://www.anchorterminal.com/compare/azure-document-intelligence-vs-unstructured.md)\n- [Extend API + MCP vs LandingAI Agentic Document Extraction](https://www.anchorterminal.com/compare/extend-vs-landingai-agentic-document-extraction.md)\n- [Google Cloud Document AI vs LandingAI Agentic Document Extraction](https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-landingai-agentic-document-extraction.md)\n- [LandingAI Agentic Document Extraction vs LlamaParse API + MCP](https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-llamaparse.md)\n- [LandingAI Agentic Document Extraction vs Mistral OCR API](https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-mistral-ocr.md)\n- [LandingAI Agentic Document Extraction vs Nanonets API + MCP](https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-nanonets.md)\n- [LandingAI Agentic Document Extraction vs OpenDocRouter](https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-opendocrouter.md)\n- [LandingAI Agentic Document Extraction vs Reducto API + MCP](https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-reducto.md)\n- [LandingAI Agentic Document Extraction vs Unstructured API + MCP](https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-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- [LandingAI Agentic Document Extraction vs Mindee API](https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-mindee.md)\n- [LandingAI Agentic Document Extraction vs Veryfi API + MCP](https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-veryfi.md)\n- [Azure Document Intelligence vs Invofox](https://www.anchorterminal.com/compare/azure-document-intelligence-vs-invofox.md)\n- [Invofox vs LandingAI Agentic Document Extraction](https://www.anchorterminal.com/compare/invofox-vs-landingai-agentic-document-extraction.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-10", "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 LandingAI Agentic Document Extraction", "url": "" } ], "description": "LandingAI Agentic Document Extraction scores 69 (B) to Azure Document Intelligence's 66 (B) for document parsing. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Azure Document Intelligence B 66", "LandingAI Agentic Document Extraction B 69", "scores" ], "h1": "Azure Document Intelligence vs LandingAI Agentic Document Extraction", "image": "https://www.anchorterminal.com/assets/og/compare-azure-document-intelligence-vs-landingai-agentic-document-extraction.png", "path": "/compare/azure-document-intelligence-vs-landingai-agentic-document-extraction", "published": "2026-10-01", "section": "tools", "title": "Azure Document Intelligence vs LandingAI Agentic Document Extraction", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-landingai-agentic-document-extraction" }, "tokens": { "markdown": 3250, "slim": 730 }, "version": 1 }