Landing AI

A closer look at Landing AI

LandingAI (landing.ai) now presents Agentic APIs for intelligent document processing: Parse converts variable documents into accurate, auditable structured data with layout-aware Markdown and precise citations, Split segments multi-document files into classified sub-documents, and Extract pulls specific fields using a schema the user defines. It targets financial services, healthcare, insurance, legal, logistics and other document-heavy industries, with use cases from mortgage lending and KYC to 10-K forms and technical manuals. The pricing page runs on credits: Explore is pay-as-you-go at $1 per 100 credits with 1,000 free credits to start, Team plans run from $250 per month for 25,000 to 200,000 credits per month, and Enterprise is custom.

Editorial guidance based on published documentation. The workflow below is a suggested starting point, not a measured product result.

When to choose Landing AI

• Teams that need production document extraction with audit-ready traceability, confidence scores and page and coordinate citations.
• Document-heavy operations in lending, insurance, legal and finance that process complex tables and multi-page files at scale.

When to choose something else

• Users looking for the computer-vision product the directory tagline describes, since the current site presents document-processing APIs.
• Teams that want a fixed per-document price, since pricing is credit-based and consumption varies by document and task.

A practical starting workflow

1. Send documents to the Parse API for layout-aware structured data with citations.
2. Use Split to segment long or mixed files into classified sub-documents.
3. Define an extraction schema and pull the exact fields needed from each document.
4. Buy credits and scale usage, moving from Explore pay-as-you-go to Team or Enterprise as volume grows.

Check before committing

• Accuracy and scale claims, such as thousands of pages per minute, are vendor descriptions, not measured results.
• The current document-API scope differs from the directory's computer-vision tagline; this page describes the site as read.

Common questions

Compare approaches for this task

• Nanonets — Finance and operations teams automating document-heavy processes, since Nanonets agents handle invoices in 6 seconds rather than 6 minutes in the homepage example, with reconciliation, order, cash, supplier, and claims flows.; Enterprises processing at scale that need compliance controls, since Enterprise adds SAML SSO and SCIM, role-based access, HIPAA and SOC 2 compliance, private cloud or on-prem deployment, and audit logs.
• Airparser — Operations teams turning emails and documents into structured data for automation.