LandingAI Agentic Document Extraction vs Mindee API

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.

Mindee API

Extracted data kept 12 hours by default (1 to 24 configurable), deletable on fetch, source files never stored. Every call needs a model_id created in the web platform first.

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

Mindee API

1. Create the model in the Mindee app and store its model_id; the API can't create one for you
2. Enqueue returns 202; poll the job or use a webhook, and keep polling under 1,200 a minute
3. Send Authorization: $MINDEE_API_KEY with no Bearer prefix
4. Turn on confidence scores only when needed, since they cost 1.5 credits a page instead of 1
5. Keep schemas to 25 fields or fewer, the documented recommendation