Document Extraction
Use this skill for intelligent document processing and content extraction using...
Install
npx skills add andrewyng/context-hub --skill document-extraction -g -a claude-code -y- Repository
- andrewyng/context-hub14k
- Category
- AI and agents
- Updated
- 5mo ago
- License
- MIT
- Context cost
- Mediumabout 3,000 tokens
- Runs scripts
- No, instructions only
What it does
Use this skill for intelligent document processing and content extraction using LandingAI's Agentic Document Extraction (ADE). Trigger when users need to (1) Parse documents (PDFs, images, spreadsheets, presentations) into structured Markdown with layout understanding, (2) Extract specific structured data from documents using schemas (invoice fields, form data, table data, etc.), (3) Classify and separate multi-document batches by type (invoices vs receipts, statements vs forms, etc.), (4) Process large documents asynchronously (up to 1GB/1000 pages), (5) Get visual grounding (bounding boxes, page numbers) for extracted content, use when users mention bounding boxes, word locations, grounding, highlighting extracted content, or showing where data appears in a document. Use this skill when the task involves understanding document content for a set of documents. In particular this skill can help you write code that run on sets of documents. This will increase speed, and reduce the cost of loading the documents on the Agent context window because you can use a single script to extract the information needed.
Document Extraction (ADE)
Overview
LandingAI's Agentic Document Extraction (ADE) is a document processing SaaS that parses, extracts, and classifies documents without requiring templates or training. It provides three main capabilities:
- Parse: Convert documents into structured Markdown with hierarchical JSON representation
- Extract: Pull specific structured data using JSON schemas or Pydantic models
- Split: Classify and separate multi-document batches by type
Key Benefits:
- No ML training or templates required
- Layout-agnostic parsing (works with any document structure)
- Supports 20+ file formats (PDF, images, spreadsheets, presentations)
- Precise visual grounding (bounding boxes, page numbers)
- Multiple models optimized for different document types
Quick Start
1. Installation
Never install packages globally without user approval. Always check for a local Python environment first.
1. .venv/bin/python, uv-managed (this project)
2. venv/bin/python, standard Python venv
3. uv run python, if pyproject.toml exists
4. poetry run python, if poetry.lock exists
5. python3, system fallback; warn the user
Use the local environment to install: landingai-ade, python-dotenv
2. API Key Setup
The user may have already setup a .env file in the same directory as the document-extraction skill with the API key. You MUST check this path first (ls -la .*/skills/document-extraction/.env). Also try checking on the same directory as this SKILL.md file.
If not, provide instructions to create one. The script below will search for .env in common locations and load it.
.venv/bin/python - << 'EOF'
import os
from pathlib import Path
from dotenv import load_dotenv
