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https://github.com/ranfysvalle02/hello-docling

"Hello world" but for docling.
https://github.com/ranfysvalle02/hello-docling

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"Hello world" but for docling.

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README

          

# hello-docling

![](docling.png)

[Docling](https://ds4sd.github.io/docling/) is an open-source Python library for efficient document conversion and analysis.

## How It Works

1. **PDF Parsing**: Extracts text tokens and renders page images
2. **AI Model Application**: Applies specialized models to each page
3. **Post-processing**: Augments metadata, detects language, corrects reading order
4. **Assembly**: Combines results into a structured document object
5. **Output**: Generates JSON or Markdown output

Docling runs entirely locally on commodity hardware, making it a powerful tool for document analysis and conversion without relying on external services.

## Key Features

### 1. PDF Conversion
- Converts PDF documents to JSON or Markdown format
- Fast and stable processing

### 2. Advanced Layout Analysis
- Utilizes AI models (DocLayNet) for detailed page layout understanding
- Recovers reading order and document structure

### 3. Table Structure Recognition
- Employs TableFormer AI model to extract and reconstruct table structures

### 4. Metadata Extraction
- Automatically extracts document metadata:
- Title
- Authors
- References
- Language

### 5. OCR Capability
- Optional OCR for scanned PDFs

### 6. Post-processing
- Removes overlapping bounding-box proposals
- Intersects predictions with text tokens for complete content units

### 7. Integration
- Works with Quackling for optimized vector embedding and chunking
- Compatible with LLM frameworks like LlamaIndex