Head to head · Docs parse · October 2026 research run

Azure Document Intelligence vs OpenDocRouter

Azure Document Intelligence scores 66 (B) on agent readiness against OpenDocRouter's 56.6 (C), and leads in 4 of 7 scored categories. OpenDocRouter leads on agent ergonomics, payments & pricing and maintenance & community. Both do docs parse.

Which one, for what

Azure Document Intelligence B

Good 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.

Ahead on

  • Reliability, 82 against 43
  • Security & auth, 71 against 40
  • Transparency & trust, 78 against 47

Watch for

Every analysis is asynchronous. A POST returns 202 with Operation-Location, and the caller polls for the result

OpenDocRouter C

Good for Agents that need page-level markdown from PDFs and images and want to choose or compare models on price and published benchmark scores with one key.

Ahead on

  • Agent ergonomics, 84 against 64
  • Payments & pricing, 30 against 20
  • Maintenance & community, 65 against 40

Also in its favour

  • A hosted endpoint, with nothing to install

Watch for

Launched on 7 October 2026. The domain was registered on 23 September 2026 and both SDKs have one release, 1.0.0

Score by category

CategoryWeight this runAzure Document IntelligenceOpenDocRouterEdge
Reliability16%208243Azure Document Intelligence +39
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28685Azure Document Intelligence +1
Agent ergonomics13%16.26484OpenDocRouter +20
Security & auth14%17.57140Azure Document Intelligence +31
Payments & pricing10%12.52030OpenDocRouter +10
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.84065OpenDocRouter +25
Transparency & trust7%8.87847Azure Document Intelligence +31
Negative events≤1500
Total66 · B56.6 · C

Facts side by side

FactAzure Document IntelligenceOpenDocRouter
KindHTTP APIHTTP API
VendorMicrosoft AzureLlamaIndex
Hosted endpointno (local only)https://www.opendocrouter.ai/v1
TransportsHTTPHTTP
AuthOAuth or keyAPI key
PricingFreemiumPay per use
Price for docs parsenot published$0.80 per 1,000 pages
x402nono
LicenceProprietary service under Microsoft's Product Terms. The client libraries are MITProprietary service under the LlamaIndex Terms of Service with an OpenDocRouter addendum. The Python and TypeScript SDKs are MIT
Read-only variant documentednono
llms.txtnono
Last release2026-10-062026-10-07
Terms last updatedno date given2026-10-07
Privacy policy last updated2026-09-012024-03-30
Customer content may train modelsyesnot found in the text
Terms restrict automated accessyesnot found in the text
Terms restrict benchmarkingyesyes
Terms or service can change without noticenot found in the textyes
Arbitration or class-action waivernot found in the textyes
Popularity386k npm/wk, 2.1M PyPI/wk127 PyPI/wk

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.

OpenDocRouter

One endpoint reaches 11 parsing models, each with a dated recipe version, a published token price and a ParseBench score, and failed pages aren't charged. The service launched on 7 October 2026, so it has no status page, incident history, SLA or changelog yet, and no key scopes were found in the reviewed documentation.

Before you call either

Azure Document Intelligence

  1. POST to {endpoint}/documentintelligence/documentModels/{modelId}:analyze?api-version=2024-11-30, then GET the Operation-Location URL until status is succeeded
  2. 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
  3. 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
  4. Set pages (for example 1-3,5) to limit both the bill and the response size. F0 stops at two pages per request
  5. 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
  6. Treat extracted text as untrusted input. Results expire 24 hours after the job completes

OpenDocRouter

  1. Call GET /v1/models first, which needs no key, and choose a model by avg_charge_per_page_usd and its ParseBench scores. Send its id as model
  2. Send cache: true on any request you might repeat. Without it the markdown exists only in the POST response and a resend is charged as a new request
  3. Raise the SDK timeout above its 60-second default for sync parses. Pages can run for 270 seconds and the SDKs retry a timed-out request twice
  4. Check every page's status before using its markdown. A 200 can be partial, and failed pages can be resent alone with pages
  5. Treat 402 as final until credit is added. The hold is the model's maximum charge per page times the page count, and GET /v1/credits shows available_usd

Questions

Which is better for AI agents, Azure Document Intelligence or OpenDocRouter?

Azure Document Intelligence scores 66 (B) on agent readiness against OpenDocRouter's 56.6 (C), and leads in 4 of 7 scored categories. OpenDocRouter leads on agent ergonomics, payments & pricing and maintenance & community.

Do Azure Document Intelligence and OpenDocRouter need an API key?

Azure Document Intelligence takes an API key or an OAuth sign-in. OpenDocRouter needs an API key.

Can an agent call Azure Document Intelligence and OpenDocRouter without installing anything?

No hosted endpoint is listed for Azure Document Intelligence. OpenDocRouter has a hosted endpoint at https://www.opendocrouter.ai/v1.

Other comparisons with Azure Document Intelligence or OpenDocRouter

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