
LandingAI
Features of LandingAI
Use Cases of LandingAI
FAQ about LandingAI
QWhat is LandingAI?
LandingAI is an AI platform focused on intelligent document understanding and computer vision, offering API-centric document information extraction services and low-code visual model development tools.
QWhat are LandingAI's main products?
Core products include the Agentic Document Extraction (ADE) API suite for intelligent document extraction and the end-to-end low-code platform LandingLens for visual model development.
QWhat document formats does LandingAI support?
Supports parsing of PDF (non-password protected), images (e.g., JPEG, PNG), text documents (e.g., DOCX), presentations (e.g., PPTX), and spreadsheets (e.g., XLSX).
QHow to use LandingAI's document parsing service?
Users can integrate via its REST API, or use the provided Python/TypeScript client libraries, or upload files directly in the online Playground for quick testing.
QWhat formats does LandingAI output after processing documents?
The service outputs extracted content as structured JSON or Markdown for easy downstream processing and analysis.
QDoes LandingAI offer a free option?
The platform offers a free-start option; users can experience via Playground or API. For service quotas and pricing, please refer to the official documentation.
QWhat security measures does LandingAI have for data handling?
The platform provides a zero data retention option, allowing users to configure according to their security and privacy needs.
QWhich industries is LandingAI suitable for?
Suitable for financial, logistics, healthcare, insurance, manufacturing, and other industries that require document digitization and automated information extraction.
QIs it easy for developers to integrate LandingAI services?
The platform provides detailed API documentation, quick-start guides, code samples, and multiple client libraries to reduce integration complexity.
QCan LandingAI handle long documents with more than 100 pages?
Its asynchronous parsing capability supports large files; for very long documents, use the provided asynchronous tasks (Parse Jobs).