LandingAI ADE
byavaxia8
0Integrates with LandingAI's Agentic Document Extraction API to parse documents, extract structured data, and manage extraction jobs.
About
This Model Context Protocol (MCP) server enables seamless integration with the LandingAI Agentic Document Extraction (ADE) API. It empowers users to extract text, tables, and structured information from a wide array of document types, including PDFs, images, and office files. Designed for both small and large-scale operations, it supports background processing for extensive documents and offers a privacy-focused approach with zero data retention, making it suitable for sensitive data workflows.
Key Features
- Extract structured data using JSON schemas
- 0 GitHub stars
- Privacy-focused processing with zero data retention
- Parse entire documents and return markdown output
- Process all supported files in a folder with automated parsing or data extraction
- Handle large documents with background processing (parse jobs)
Use Cases
- Converting various document types (PDFs, images, office files) into markdown for further analysis.
- Extracting specific structured information, such as invoice details or report summaries, from documents using predefined JSON schemas.
- Automating the batch processing of entire folders containing mixed document types for either parsing or structured data extraction.
Sponsored