> ## Documentation Index
> Fetch the complete documentation index at: https://docs.landing.ai/llms.txt
> Use this file to discover all available pages before exploring further.
# Overview
export const companyName = 'LandingAI';
export const ade = 'Agentic Document Extraction';
[{ade}](https://va.landing.ai/) (ADE) is a document intelligence platform that converts documents into reliable, structured data.
Use the structured data from ADE to build retrieval-augmented generation (RAG) applications, power intelligent search systems, extract key information, and automate document processing at scale.
## How ADE Works
{ade} provides multiple APIs for document processing: [Parse](./ade-separate-apis), [Extract](./ade-extract), [Classify](./ade-classify), [Section](./ade-section), and [Split](./ade-split).
Most workflows start with **Parse**, which converts your documents into structured data. After parsing, you can optionally use **Extract** to pull specific data fields, **Section** to generate a hierarchical table of contents, or **Split** to separate multi-document files.
Use **Classify** independently to label pages by document type before or without parsing.
| API | Description | When to Use |
| ---------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| [Parse](./ade-separate-apis) | Converts documents into structured Markdown with hierarchical JSON.
Identifies elements like text, tables, and form fields with exact page and coordinate references. | Use to convert documents into structured data for downstream applications, such as RAG, search, and training LLMs.
This is the required first step for all ADE workflows. |
| [Extract](./ade-extract) | Pulls specific data fields from parsed documents using schema-based extraction. | Use when you need the values for specific fields.
Can be used after Parse or Split. |
| [Classify](./ade-classify) | Assigns a category to each page of a document based on classes you define. | Use when you need to sort, route, or label pages by document type. Does not require Parse. |
| [Section](./ade-section) | Analyzes a parsed document and generates a hierarchical table of contents with section titles, levels, and chunk references. | Use when you need to navigate, scope, or retrieve content by section (for example, for section-aware RAG chunking or document review tools). |
| [Split](./ade-split) | Classifies and separates parsed documents into multiple sub-documents based on document types you define. | Use when one file contains multiple documents that need to be separated, such as batched Know Your Customer (KYC) documents. |
## Get Started
Create an account and process files in our Playground.
Comfortable with using the Playground? Now you can make your first API call in minutes.
## Key Features
Delivers high accuracy, even on complex documents. Achieved **99.16% accuracy** on the DocVQA dataset.
Identifies specific elements (called "chunks") including text, tables, images, form fields, and bar codes.
Includes page numbers and coordinates for each chunk to support traceability, validation, and compliance workflows.
Handles any document layout without templates or training—works out of the box.
Understands relationships between elements to generate accurate descriptions and maintain proper reading order.
Returns results in Markdown for human readability and JSON for programmatic access.
Parses PDFs, images, text documents, presentations, and spreadsheets.
Parses documents in multiple languages.