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document-extraction

Parse and extract structured data from PDFs, images, and spreadsheets using LandingAI ADE.

Updated Mar 8, 2026
Search Tags:#markdown#grounding#schemas#multi-document#document-extraction#ade
One-click install
npx skills add https://github.com/ClyptAI/Clypt-Backend --skill document-extraction-clyptai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: document-extraction
Source: https://github.com/ClyptAI/Clypt-Backend/tree/main/.agents/skills/context-hub/content/landingai/skills/ade/document-extraction
Command: npx skills add https://github.com/ClyptAI/Clypt-Backend --skill document-extraction-clyptai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

ADE provides an end-to-end solution to transform unstructured documents into structured, schema-driven data with precise grounding for validation and auditability.

Core Features & Use Cases

  • Parse: Convert PDFs, images, and spreadsheets into structured Markdown with layout awareness.
  • Extract: Retrieve data using JSON schemas or Pydantic models with extraction metadata and traceability.
  • Grounding & Split: Offer visual grounding (bounding boxes, page numbers) and support multi-document batch classification and splitting.
  • Asynchronous Large Files: Handle large documents via parse jobs for scalable processing.

Quick Start

Parse a document with ADE and extract structured data using a defined schema.

Frequently Asked Questions about document-extraction

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract structured data from PDFs and images using a JSON schema?▼

To extract structured data from PDFs and images, you define a JSON schema or Pydantic model and process the files to retrieve schema-driven data with extraction metadata and traceability.

What is visual grounding in document extraction and why is it needed?▼

Visual grounding in document extraction provides bounding boxes and page numbers for extracted data. It is needed to validate results and ensure auditability by pinpointing exact data locations.

Can I process large PDF files asynchronously without blocking my workflow?▼

Yes, you can handle large PDF files asynchronously by using parse jobs. This enables scalable document processing without blocking your workflow during extensive file parsing.

How do I parse multi-document batches and classify them into splits?▼

You can parse multi-document batches by submitting multiple files together, allowing the system to classify documents and return optional splits for organized batch processing.

Does document extraction work with spreadsheets or only PDF files?▼

Document extraction works with spreadsheets, PDFs, and images. It converts these formats into structured Markdown with layout awareness, supporting diverse unstructured file types.

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