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Landing AI (2026)

Expert Reviewed
by Albert SchaperLast reviewed: Sep 20, 2026

Agentic APIs for Intelligent Document Processing

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1 ratings
4.0
Monthly users
120K
Pricing
Paid from $250 / month
Platform
Web App / API
Best for
Software Developers / Business Executives

Overview

LandingAI (Andrew Ng) sells Agentic APIs for intelligent document processing: parse, extract, classify, and split documents with visual grounding. Explore is pay-as-you-go credits; Team is a monthly credit allotment; Enterprise adds VPC/on-prem and custom pipelines. Public docs at docs.landing.ai.

Landing AI Data Analytics showing Data Analytics - Agentic APIs for Intelligent Document Processing

Key Features

Interactive data visualization

Build interactive dashboards that update in real time as underlying data changes.

RESTful API integration

RESTful API design follows industry standards for easy integration. Landing AI is most useful when routine operations ca

SDKs to accelerate build-out

1 SDKs (e.g., Python) help dev teams launch prototypes quickly.

Try before you commit

Live demos and sandboxes simplify evaluation across stakeholders.

Automation-first workflows

Trigger-based flows keep work moving without extra check-ins.

Data-driven decision support

Decision-makers get real-time context without waiting on manual reporting.

Rate this Tool

4.0 / 5based on 1 rating

About Landing AI

“Agentic APIs for Intelligent Document Processing”

Landing AI is a data analytics tool developed by Landing AI (US) designed for software developers, business executives and product managers. LandingAI provides an AI-powered platform for converting real-world documents into accurate, structured data. Its core offering, Agentic Document Extraction (ADE), is designed for high accuracy, traceability, and auditability, particularly for complex layouts, tables, and multi-page documents. The platform supports automatic segmentation of multi-document files, extraction of specific fields based on user-defined schemas, and integration via modular REST APIs and Python or TypeScript libraries. It also facilitates retrieval-augmented generation (RAG) through semantic chunking, automation for reconciliation and compliance, and search and analytics on document archives. LandingAI targets enterprises in regulated industries such as financial services, healthcare, insurance, energy & utilities, and legal, offering deployment options including cloud, on-premises, and virtual private. With over 120K monthly visits, Landing AI has established a significant user base. Landing AI follows a freemium / pay-per-use / subscription / enterprise / contact for pricing pricing model, with plans from a free plan up to $250/mo. It is available on Web App and API. Developer integration is supported through Python SDKs. It competes in the same space as Voxel51. Landing AI offers Global hosting. Explore more data analytics tools or browse all categories.
Data AnalyticsCompareSoftware Developers

Landing AI Snapshot

Key facts we track so you can judge fit before visiting the provider.

Primary category
Data Analytics
Best fit
Software Developers, Business Executives, Product Managers
Platforms
Web App, API
Pricing signal
Freemium, Pay-per-Use +3 more - Paid from $250 / month
Provider context
Landing AI - US
Developer access
API documentation, Python
Data handling
Global hosting, Privacy policy linked
Evidence signals
120K monthly visits, 4.0 rating from 1 ratings, 5 community favorites +1 more

Before you choose Landing AI

  • Confirm Landing AI's current limits, renewal terms, and seat pricing on the official site.
  • Review privacy, retention, and data-processing terms before using sensitive data.
  • Test the integrations or API path against one real workflow before rollout.
  • Make sure the supported platform matches where your team actually works.

Listing data is compiled from structured provider information, public signals, submissions, and periodic checks where available. Treat this page as a shortlist aid, then verify pricing, compliance, and product limits with the provider before making a business-critical decision.

How Landing AI Works

Understanding the core functionality and approach of Landing AI.

Landing AI connects to data sources, runs analysis, and surfaces insights through dashboards and reports. Business users ask questions in natural language; the platform translates them into queries. Landing AI can support reporting workflows, but teams should validate source data and export options.

Key Features

Explore what makes Landing AI stand out.

Interactive data visualization

Build interactive dashboards that update in real time as underlying data changes.

RESTful API integration

RESTful API design follows industry standards for easy integration. Landing AI is most useful when routine operations can be clearly defined and checked after execution.

SDKs to accelerate build-out

1 SDKs (e.g., Python) help dev teams launch prototypes quickly.

Try before you commit

Live demos and sandboxes simplify evaluation across stakeholders.

Automation-first workflows

Trigger-based flows keep work moving without extra check-ins.

Data-driven decision support

Decision-makers get real-time context without waiting on manual reporting.

Use Cases

Discover how different audiences leverage Landing AI.

Software Developers

Enhance developer productivity

Developer teams use the API to automate processes and extend internal apps within Landing AI.

Software Developers

Automate repeatable work

Bots, rules, and triggers ensure nothing gets stuck in manual queues.

Software Developers

Analytics acceleration

Self-service analytics reduces the backlog on central BI teams.

Learn more: AI Tools for Developers

FAQ about Landing AI

What is Landing AI and what does it do?

Landing AI is Agentic APIs for Intelligent Document Processing. LandingAI (Andrew Ng) sells Agentic APIs for intelligent document processing: parse, extract, classify, and split documents with visual grounding. Explore is pay-as-you-go credits; Team is a monthly credit allotment; Enterprise adds VPC/on-prem and custom pipelines. Public docs at docs.landing.ai. Available on Web App, API, Landing AI is designed to enhance productivity and deliver professional-grade data analytics capabilities.

How much does Landing AI cost?

Landing AI offers Freemium, Pay-per-Use, Subscription, Enterprise, Contact for Pricing pricing options. /pricing-agentic-apis: Explore pay-as-you-go ($1 buys 100 credits) plus 1,000 free credits to start. Team $250/month with 25k credits/month. Enterprise custom (SaaS, VPC, on-prem). USD. Current estimates suggest pricing from Paid from $250 / month. You can start with a free tier to test the platform before committing to a paid plan. For the most current pricing details and plan comparisons, visit the official Landing AI pricing page or contact their sales team for custom enterprise quotes. See also Free vs Paid AI Tools for guidance on choosing the right plan.

Is Landing AI secure and compliant with data privacy regulations?

Landing AI takes data privacy seriously and implements industry-standard security measures. Data is hosted in Global, providing transparency about where your information resides. For comprehensive details about data handling, encryption, and privacy practices, review their official privacy policy. On-premise deployment options are available for organizations with strict data residency requirements. Security and compliance are continuously updated to meet evolving industry standards.
What platforms does Landing AI support?
Landing AI is available on Web App, API. The web application provides full functionality directly in your browser without requiring downloads. API access allows developers to integrate Landing AI capabilities directly into their own applications and workflows. This multi-platform approach ensures you can use Landing AI wherever and however you work best.
How can I try Landing AI before purchasing?
Landing AI offers a demo version that lets you explore key features hands-on. The freemium model gives you access to essential features at no cost, with premium capabilities available through paid upgrades. Testing the platform before committing ensures it meets your specific requirements and integrates smoothly with your existing workflows. Support for English, Chinese makes it accessible to global users.
What file formats does Landing AI support?
Landing AI accepts Images, videos, sensor data as input formats, making it compatible with your existing files and workflows. Output is delivered in Inspection reports, analytics data, ensuring compatibility with downstream tools and platforms. This format flexibility allows seamless integration into diverse tech stacks and creative pipelines.
Who develops and maintains Landing AI?
Landing AI is developed and maintained by Landing AI, based in US. Most recently updated in September 2026, the platform remains actively maintained with regular feature releases and bug fixes. This ongoing commitment ensures Landing AI stays competitive and aligned with industry best practices.
How do I get access to Landing AI?
Landing AI is freely available to everyone without registration requirements. You can start using the platform immediately without going through lengthy approval processes. A demo version is also available for those who want to explore features before committing.
How is usage measured and billed in Landing AI?
Landing AI uses Credits, API Calls, Pay-as-You-Go as billing metrics. API-based billing tracks the number of requests made to the service, providing predictable costs for developers. Credit-based systems offer flexibility, allowing you to purchase credits in advance and consume them as needed. This usage model ensures you only pay for what you actually use, avoiding unnecessary overhead costs for features you don't need.
What deployment options does Landing AI offer?
Landing AI supports Cloud, OnPremise deployment configurations. Cloud-hosted options provide instant scalability without infrastructure management overhead. On-premise installations give organizations complete control over data residency and security policies. Choose the deployment model that best aligns with your technical requirements, security constraints, and operational preferences.

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Providers can update product facts, pricing context, screenshots, and launch notes. Paid placements are labeled separately and do not replace editorial or data-quality review.

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How to Evaluate Landing AI

Compare Landing AI with Voxel51 and other alternatives before you decide. The goal is not to pick the most popular product; it is to find the tool that fits your actual workflow, risk level, and budget.

  1. Step 1Run the demo with one real software developers task, not a sample prompt.
  2. Step 2Model the full monthly cost at your expected usage, including seats, limits, and overages.
  3. Step 3Verify the integration path with your existing stack before you commit.
  4. Step 4Review privacy, retention, and compliance terms before using sensitive data.

For developer teams, inspect the Python SDK. Review the API documentation for auth, rate limits, errors, and export behavior. For broader context, browse more data analytics tools for software developers, or compare this page against the category hub. New to AI tool evaluation? Start with AI Tool Navigator.

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