Azure Document Intelligence vs LandingAI Agentic Document Extraction

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.

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

LandingAI Agentic Document Extraction

1. Send Authorization: Bearer <key> to https://api.ade.landing.ai/v2/parse. EU keys work only on https://api.ade.eu-west-1.landing.ai
2. 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
3. Leave jobs on the standard tier unless speed matters. It consumes half the credits of priority
4. Run Extract on the Markdown that Parse returned, then call Ground for page numbers and boxes. Ground consumes no credits
5. On a 429, read the message. One case clears with backoff and the other means the document is too large for the tier