Landing.ai

LandingAI, founded by Andrew Ng, builds production AI for visual and document understanding. Its flagship product is Agentic Document Extraction (ADE), which converts real-world documents — PDFs, images, Office files and spreadsheets — into structured, auditable data. ADE exposes a family of REST APIs: Parse (document to reading-order Markdown plus hierarchical blocks with per-block visual grounding), Extract (schema-driven field extraction with character-span grounding back into the source), Build Extract Schema, and the preview Classify, Section and Split APIs, each available synchronously or as asynchronous Jobs for large files. The current generation runs on the DPT-3 document pre-trained transformer. LandingAI also operates LandingLens, a computer-vision platform API for creating projects, uploading images, defining classes, training models and deploying them to LandingAI-hosted cloud endpoints, plus a Vision Tools API surfacing OWLv2, Florence-2, SAM2, CountGD, Depth Anything, PaddleOCR and other vision models as HTTP tools. The company ships official Python and TypeScript ADE libraries, a hosted remote MCP server, published Agent Skills, an llms.txt agent surface, US and EU data residency, and SOC 2 Type II, HIPAA and GDPR compliance with a zero data retention option.

Landing.ai publishes 4 APIs on the APIs.io network, including LandingAI Agentic Document Extraction (ADE) API v2, LandingAI Agentic Document Extraction (ADE) API v1, LandingAI Vision Tools API, and 1 more. Tagged areas include Company, Artificial Intelligence, Machine Learning, Document Extraction, and Document Processing.

Landing.ai’s developer surface includes documentation, API reference, getting-started guide, support, engineering blog, pricing, signup flow, and 27 more developer resources.

61.1/100 strong Agent 62/100 agent native Full breakdown ↓
scored 2026-07-20 · rubric v0.4
4 APIs 1 MCP Servers 0 Features
CompanyArtificial IntelligenceMachine LearningDocument ExtractionDocument ProcessingComputer VisionOCRData ExtractionAgentsDeveloper Tools

API Rating

API Evangelist API Evangelist Rating How this is scored →
scored 2026-07-20 · rubric v0.4
Composite quality — 61.1/100 · strong
Contract Quality 9.4 / 25
Developer Ergonomics 16.1 / 20
Commercial Clarity 18.4 / 20
Operational Transparency 7.2 / 13
Governance 0.0 / 12
Discoverability 10.0 / 10
Agent readiness — 62/100 · agent native
Machine-Readable Contract 18 / 18
Agentic Access Contract 0 / 15
MCP Server 12 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 8 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 7 / 7
Typed Event Surface 0 / 6
Agent Skills 5 / 5
Well-Known Catalog 4 / 4
Consent & Bot Identity 0 / 3
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/landingai: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs

LandingAI Agentic Document Extraction (ADE) API v2

The current generation ADE API, powered by the DPT-3 document pre-trained transformer. Parse converts a PDF or image into reading-order Markdown plus a hierarchical block struct...

LandingAI Agentic Document Extraction (ADE) API v1

The v1 ADE surface covering Parse, Extract, Build Extract Schema and the preview Classify, Section and Split APIs, with synchronous and Jobs variants. Classify labels each page ...

LandingAI Vision Tools API

The Vision Tools API exposes a catalog of computer-vision models as HTTP endpoints, including OWLv2, Florence-2, Florence2-SAM2, GLEE, CountGD, LOCA, Depth Anything V2, Depth Pr...

LandingLens API

A RESTful API for using LandingLens programmatically, with predictable resource-oriented URLs and JSON-encoded responses. It covers creating projects, uploading images, creating...

MCP Servers

landingai-mcp.yml

MCP SERVER

Pricing Plans

Landingai Plans

3 plans

PLANS

Rate Limits

Landingai Rate Limits

0 limits

RATE LIMITS

Resources

Get Started 4

Portal, sign-up, and the first successful call

Documentation 2

Reference material describing how the API behaves

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Build 3

SDKs, sample code, and the tooling you integrate with

Access & Security 5

Authentication, authorization, and security posture

Operate 5

Status, limits, changes, and where to get help

Commercial 4

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: landingai
name: Landing.ai
description: 'LandingAI, founded by Andrew Ng, builds production AI for visual and document understanding. Its flagship product
  is Agentic Document Extraction (ADE), which converts real-world documents — PDFs, images, Office files and spreadsheets
  — into structured, auditable data. ADE exposes a family of REST APIs: Parse (document to reading-order Markdown plus hierarchical
  blocks with per-block visual grounding), Extract (schema-driven field extraction with character-span grounding back into
  the source), Build Extract Schema, and the preview Classify, Section and Split APIs, each available synchronously or as
  asynchronous Jobs for large files. The current generation runs on the DPT-3 document pre-trained transformer. LandingAI
  also operates LandingLens, a computer-vision platform API for creating projects, uploading images, defining classes, training
  models and deploying them to LandingAI-hosted cloud endpoints, plus a Vision Tools API surfacing OWLv2, Florence-2, SAM2,
  CountGD, Depth Anything, PaddleOCR and other vision models as HTTP tools. The company ships official Python and TypeScript
  ADE libraries, a hosted remote MCP server, published Agent Skills, an llms.txt agent surface, US and EU data residency,
  and SOC 2 Type II, HIPAA and GDPR compliance with a zero data retention option.'
image: https://landing.ai/favicon.ico
url: https://raw.githubusercontent.com/api-evangelist/landingai/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- insight-partners
x-tier: enriched
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Artificial Intelligence
- Machine Learning
- Document Extraction
- Document Processing
- Computer Vision
- OCR
- Data Extraction
- Agents
- Developer Tools
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
apis:
- aid: landingai:ade-v2
  name: LandingAI Agentic Document Extraction (ADE) API v2
  description: The current generation ADE API, powered by the DPT-3 document pre-trained transformer. Parse converts a PDF
    or image into reading-order Markdown plus a hierarchical block structure with per-block grounding; Extract pulls schema
    defined fields out of that Markdown with character-span grounding back into the source. Both run synchronously or as asynchronous
    Jobs, which raise the ceilings to 1 GiB and 6,000 pages per PDF and support standard and priority service tiers.
  humanURL: https://docs.landing.ai/dpt3/overview
  baseURL: https://api.ade.landing.ai
  tags:
  - Document Extraction
  - Parsing
  - Structured Data
  properties:
  - type: OpenAPI
    url: openapi/landingai-ade-v2-openapi-original.json
  - type: Documentation
    url: https://docs.landing.ai/dpt3/overview
  - type: APIReference
    url: https://docs.landing.ai/api-reference/parse/ade-parse
  - type: GettingStarted
    url: https://docs.landing.ai/dpt3/quickstart
  - type: Overlay
    url: overlays/landingai-ade-v2-overlay.yaml
- aid: landingai:ade-v1
  name: LandingAI Agentic Document Extraction (ADE) API v1
  description: The v1 ADE surface covering Parse, Extract, Build Extract Schema and the preview Classify, Section and Split
    APIs, with synchronous and Jobs variants. Classify labels each page of a document by type, Section generates a hierarchical
    table of contents, and Split separates a parsed document into classified sub-documents.
  humanURL: https://docs.landing.ai/ade/ade-overview
  baseURL: https://api.va.landing.ai
  tags:
  - Document Extraction
  - Classification
  - Sectioning
  properties:
  - type: OpenAPI
    url: openapi/landingai-ade-v1-openapi-original.json
  - type: Documentation
    url: https://docs.landing.ai/ade/ade-overview
  - type: APIReference
    url: https://docs.landing.ai/api-reference/tools/ade-parse
  - type: GettingStarted
    url: https://docs.landing.ai/ade/ade-quickstart
  - type: Overlay
    url: overlays/landingai-ade-v1-overlay.yaml
- aid: landingai:vision-tools
  name: LandingAI Vision Tools API
  description: The Vision Tools API exposes a catalog of computer-vision models as HTTP endpoints, including OWLv2, Florence-2,
    Florence2-SAM2, GLEE, CountGD, LOCA, Depth Anything V2, Depth Pro, PaddleOCR, pose detection, barcode and QR reading,
    license-plate reading, activity recognition, NSFW classification, embeddings, and a vision-training job surface for custom
    object detection.
  humanURL: https://docs.landing.ai/
  baseURL: https://api.va.landing.ai
  tags:
  - Computer Vision
  - Object Detection
  - Image Analysis
  properties:
  - type: OpenAPI
    url: openapi/landingai-vision-tools-openapi-original.json
  - type: Documentation
    url: https://docs.landing.ai/
  - type: Overlay
    url: overlays/landingai-vision-tools-overlay.yaml
- aid: landingai:landinglens
  name: LandingLens API
  description: A RESTful API for using LandingLens programmatically, with predictable resource-oriented URLs and JSON-encoded
    responses. It covers creating projects, uploading images, creating classes, auto-splitting datasets, training models and
    reading training metrics and confusion matrices, managing dataset snapshots and exports, project metadata and tags, and
    deploying trained models to LandingAI-hosted cloud endpoints.
  humanURL: https://app.landing.ai
  baseURL: https://api.landing.ai
  tags:
  - Computer Vision
  - Model Training
  - MLOps
  properties:
  - type: OpenAPI
    url: openapi/landingai-landinglens-openapi-original.json
  - type: Documentation
    url: https://docs.landing.ai/landinglens-landingedge
  - type: Overlay
    url: overlays/landingai-landinglens-overlay.yaml
common:
- type: Website
  url: https://landing.ai/
- type: DeveloperPortal
  url: https://docs.landing.ai/
- type: Documentation
  url: https://docs.landing.ai/
- type: APIReference
  url: https://docs.landing.ai/api-reference/parse/ade-parse
- type: GettingStarted
  url: https://docs.landing.ai/dpt3/quickstart
- type: Support
  url: https://www.landing.ai/support
- type: Blog
  url: https://www.landing.ai/resources
- type: GitHubOrganization
  url: https://github.com/landing-ai
- type: Pricing
  url: https://www.landing.ai/pricing-agentic-apis
- type: SignUp
  url: https://ade.landing.ai/
- type: TermsOfService
  url: https://www.landing.ai/terms-of-service
- type: PrivacyPolicy
  url: https://www.landing.ai/privacy-policy
- type: StatusPage
  url: https://status.landing.ai/
- type: TrustCenter
  url: https://trust.landing.ai/
- type: Compliance
  url: https://trust.landing.ai/
- type: Security
  url: https://www.landing.ai/security-at-landingai
- type: Sandbox
  url: sandbox/landingai-sandbox.yml
- type: Packages
  url: packages/landingai-packages.yml
- type: SDKs
  url: packages/landingai-packages.yml
- type: MCPServer
  url: mcp/landingai-mcp.yml
- type: AgentSkill
  url: skills/_index.yml
- type: LLMsTxt
  url: llms/landingai-llms.txt
- type: Authentication
  url: authentication/landingai-authentication.yml
- type: Conventions
  url: conventions/landingai-conventions.yml
- type: ErrorCatalog
  url: errors/landingai-problem-types.yml
- type: Lifecycle
  url: lifecycle/landingai-lifecycle.yml
- type: Deprecation
  url: https://docs.landing.ai/ade/ade-overview-legacy
- type: ChangeLog
  url: changelog/landingai-changelog.yml
- type: Conformance
  url: conformance/landingai-conformance.yml
- type: DataModel
  url: data-model/landingai-data-model.yml
- type: RateLimits
  url: rate-limits/landingai-rate-limits.yml
- type: Plans
  url: plans/landingai-plans.yml
- type: WellKnown
  url: well-known/landingai-well-known.yml
- type: DomainSecurity
  url: security/landingai-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence