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document-extraction

andrewyng · Дизайн

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) Proce

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Платформи: ClaudeНиво: НапредналоВ индекса: 11.06.2026 г.Обновен в GitHub: 31.05.2026 г.

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13 979
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MIT
Последна проверка на записа
20.09.2026 г.

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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:

  1. Parse: Convert documents into structured Markdown with hierarchical JSON representation
  2. Extract: Pull specific structured data using JSON schemas or Pydantic models
  3. 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.

Целият SKILL.md в GitHub