kreuzberg 4.3.7
High-performance document intelligence library for Python. Extract text, metadata, and structured data from PDFs, Office documents, images, and 75+ formats. Powered by Rust core for 10-50x speed improvements.
License: MIT
Requires Python: >=3.10
Keywords: document-extraction, document-intelligence, document-parsing, document-processing, docx, easyocr, email-parsing, html, markdown, metadata-extraction, ocr, office-documents, pdf, pdf-extraction, performance, pptx, rust, table-extraction, tesseract, text-extraction, xlsx, xml

# Python

<div align="center" style="display: flex; flex-wrap: wrap; gap: 8px; justify-content: center; margin: 20px 0;">
  <!-- Language Bindings -->
  <a href="https://crates.io/crates/kreuzberg">
    <img src="https://img.shields.io/crates/v/kreuzberg?label=Rust&color=007ec6" alt="Rust">
  </a>
  <a href="https://hex.pm/packages/kreuzberg">
    <img src="https://img.shields.io/hexpm/v/kreuzberg?label=Elixir&color=007ec6" alt="Elixir">
  </a>
  <a href="https://pypi.org/project/kreuzberg/">
    <img src="https://img.shields.io/pypi/v/kreuzberg?label=Python&color=007ec6" alt="Python">
  </a>
  <a href="https://www.npmjs.com/package/@kreuzberg/node">
    <img src="https://img.shields.io/npm/v/@kreuzberg/node?label=Node.js&color=007ec6" alt="Node.js">
  </a>
  <a href="https://www.npmjs.com/package/@kreuzberg/wasm">
    <img src="https://img.shields.io/npm/v/@kreuzberg/wasm?label=WASM&color=007ec6" alt="WASM">
  </a>

  <a href="https://central.sonatype.com/artifact/dev.kreuzberg/kreuzberg">
    <img src="https://img.shields.io/maven-central/v/dev.kreuzberg/kreuzberg?label=Java&color=007ec6" alt="Java">
  </a>
  <a href="https://github.com/kreuzberg-dev/kreuzberg/releases">
    <img src="https://img.shields.io/github/v/tag/kreuzberg-dev/kreuzberg?label=Go&color=007ec6&filter=v4.3.7" alt="Go">
  </a>
  <a href="https://www.nuget.org/packages/Kreuzberg/">
    <img src="https://img.shields.io/nuget/v/Kreuzberg?label=C%23&color=007ec6" alt="C#">
  </a>
  <a href="https://packagist.org/packages/kreuzberg/kreuzberg">
    <img src="https://img.shields.io/packagist/v/kreuzberg/kreuzberg?label=PHP&color=007ec6" alt="PHP">
  </a>
  <a href="https://rubygems.org/gems/kreuzberg">
    <img src="https://img.shields.io/gem/v/kreuzberg?label=Ruby&color=007ec6" alt="Ruby">
  </a>
  <a href="https://github.com/kreuzberg-dev/kreuzberg/pkgs/container/kreuzberg">
    <img src="https://img.shields.io/badge/Docker-007ec6?logo=docker&logoColor=white" alt="Docker">
  </a>

  <!-- Project Info -->
  <a href="https://github.com/kreuzberg-dev/kreuzberg/blob/main/LICENSE">
    <img src="https://img.shields.io/badge/License-MIT-blue.svg" alt="License">
  </a>
  <a href="https://docs.kreuzberg.dev">
    <img src="https://img.shields.io/badge/docs-kreuzberg.dev-blue" alt="Documentation">
  </a>
</div>

<img width="1128" height="191" alt="Banner2" src="https://github.com/user-attachments/assets/419fc06c-8313-4324-b159-4b4d3cfce5c0" />

<div align="center" style="margin-top: 20px;">
  <a href="https://discord.gg/xt9WY3GnKR">
      <img height="22" src="https://img.shields.io/badge/Discord-Join%20our%20community-7289da?logo=discord&logoColor=white" alt="Discord">
  </a>
</div>


Extract text, tables, images, and metadata from 75+ file formats including PDF, Office documents, and images. Native Python bindings with async/await support, multiple OCR backends (Tesseract, EasyOCR, PaddleOCR), and extensible plugin system.


## Installation

### Package Installation




Install via pip:

```bash
pip install kreuzberg
```

For async support and additional features:

```bash
pip install kreuzberg[async]
```




### System Requirements

- **Python 3.10+** required
- Optional: [ONNX Runtime](https://github.com/microsoft/onnxruntime/releases) version 1.24+ for embeddings support
- Optional: [Tesseract OCR](https://github.com/tesseract-ocr/tesseract) for OCR functionality



## Quick Start

### Basic Extraction

Extract text, metadata, and structure from any supported document format:

```python
import asyncio
from kreuzberg import extract_file, ExtractionConfig

async def main() -> None:
    config = ExtractionConfig(
        use_cache=True,
        enable_quality_processing=True
    )
    result = await extract_file("document.pdf", config=config)
    print(result.content)

asyncio.run(main())
```


### Common Use Cases

#### Extract with Custom Configuration

Most use cases benefit from configuration to control extraction behavior:


**With OCR (for scanned documents):**

```python
import asyncio
from kreuzberg import extract_file

async def main() -> None:
    result = await extract_file("document.pdf")
    print(result.content)

asyncio.run(main())
```




#### Table Extraction


```python
import asyncio
from kreuzberg import extract_file

async def main() -> None:
    result = await extract_file("document.pdf")

    content: str = result.content
    tables: int = len(result.tables)
    format_type: str | None = result.metadata.format_type

    print(f"Content length: {len(content)} characters")
    print(f"Tables found: {tables}")
    print(f"Format: {format_type}")

asyncio.run(main())
```




#### Processing Multiple Files


```python
import asyncio
from kreuzberg import extract_file, ExtractionConfig, OcrConfig, TesseractConfig

async def main() -> None:
    config = ExtractionConfig(
        force_ocr=True,
        ocr=OcrConfig(
            backend="tesseract",
            language="eng",
            tesseract_config=TesseractConfig(psm=3)
        )
    )
    result = await extract_file("scanned.pdf", config=config)
    print(result.content)
    print(f"Detected Languages: {result.detected_languages}")

asyncio.run(main())
```





#### Async Processing

For non-blocking document processing:

```python
import asyncio
from pathlib import Path
from kreuzberg import extract_file

async def main() -> None:
    file_path: Path = Path("document.pdf")

    result = await extract_file(file_path)

    print(f"Content: {result.content}")
    print(f"MIME Type: {result.metadata.format_type}")
    print(f"Tables: {len(result.tables)}")

asyncio.run(main())
```






### Next Steps

- **[Installation Guide](https://kreuzberg.dev/getting-started/installation/)** - Platform-specific setup
- **[API Documentation](https://kreuzberg.dev/api/)** - Complete API reference
- **[Examples & Guides](https://kreuzberg.dev/guides/)** - Full code examples and usage guides
- **[Configuration Guide](https://kreuzberg.dev/guides/configuration/)** - Advanced configuration options



## Features

### Supported File Formats (75+)

75+ file formats across 8 major categories with intelligent format detection and comprehensive metadata extraction.

#### Office Documents

| Category | Formats | Capabilities |
|----------|---------|--------------|
| **Word Processing** | `.docx`, `.odt` | Full text, tables, images, metadata, styles |
| **Spreadsheets** | `.xlsx`, `.xlsm`, `.xlsb`, `.xls`, `.xla`, `.xlam`, `.xltm`, `.ods` | Sheet data, formulas, cell metadata, charts |
| **Presentations** | `.pptx`, `.ppt`, `.ppsx` | Slides, speaker notes, images, metadata |
| **PDF** | `.pdf` | Text, tables, images, metadata, OCR support |
| **eBooks** | `.epub`, `.fb2` | Chapters, metadata, embedded resources |

#### Images (OCR-Enabled)

| Category | Formats | Features |
|----------|---------|----------|
| **Raster** | `.png`, `.jpg`, `.jpeg`, `.gif`, `.webp`, `.bmp`, `.tiff`, `.tif` | OCR, table detection, EXIF metadata, dimensions, color space |
| **Advanced** | `.jp2`, `.jpx`, `.jpm`, `.mj2`, `.jbig2`, `.jb2`, `.pnm`, `.pbm`, `.pgm`, `.ppm` | OCR via hayro-jpeg2000 (pure Rust decoder), JBIG2 support, table detection, format-specific metadata |
| **Vector** | `.svg` | DOM parsing, embedded text, graphics metadata |

#### Web & Data

| Category | Formats | Features |
|----------|---------|----------|
| **Markup** | `.html`, `.htm`, `.xhtml`, `.xml`, `.svg` | DOM parsing, metadata (Open Graph, Twitter Card), link extraction |
| **Structured Data** | `.json`, `.yaml`, `.yml`, `.toml`, `.csv`, `.tsv` | Schema detection, nested structures, validation |
| **Text & Markdown** | `.txt`, `.md`, `.markdown`, `.djot`, `.rst`, `.org`, `.rtf` | CommonMark, GFM, Djot, reStructuredText, Org Mode |

#### Email & Archives

| Category | Formats | Features |
|----------|---------|----------|
| **Email** | `.eml`, `.msg` | Headers, body (HTML/plain), attachments, threading |
| **Archives** | `.zip`, `.tar`, `.tgz`, `.gz`, `.7z` | File listing, nested archives, metadata |

#### Academic & Scientific

| Category | Formats | Features |
|----------|---------|----------|
| **Citations** | `.bib`, `.biblatex`, `.ris`, `.nbib`, `.enw`, `.csl` | Structured parsing: RIS (structured), PubMed/MEDLINE, EndNote XML (structured), BibTeX, CSL JSON |
| **Scientific** | `.tex`, `.latex`, `.typst`, `.jats`, `.ipynb`, `.docbook` | LaTeX, Jupyter notebooks, PubMed JATS |
| **Documentation** | `.opml`, `.pod`, `.mdoc`, `.troff` | Technical documentation formats |

**[Complete Format Reference](https://kreuzberg.dev/reference/formats/)**

### Key Capabilities

- **Text Extraction** - Extract all text content with position and formatting information
- **Metadata Extraction** - Retrieve document properties, creation date, author, etc.
- **Table Extraction** - Parse tables with structure and cell content preservation
- **Image Extraction** - Extract embedded images and render page previews
- **OCR Support** - Integrate multiple OCR backends for scanned documents

- **Async/Await** - Non-blocking document processing with concurrent operations


- **Plugin System** - Extensible post-processing for custom text transformation


- **Embeddings** - Generate vector embeddings using ONNX Runtime models

- **Batch Processing** - Efficiently process multiple documents in parallel
- **Memory Efficient** - Stream large files without loading entirely into memory
- **Language Detection** - Detect and support multiple languages in documents
- **Configuration** - Fine-grained control over extraction behavior

### Performance Characteristics

| Format | Speed | Memory | Notes |
|--------|-------|--------|-------|
| **PDF (text)** | 10-100 MB/s | ~50MB per doc | Fastest extraction |
| **Office docs** | 20-200 MB/s | ~100MB per doc | DOCX, XLSX, PPTX |
| **Images (OCR)** | 1-5 MB/s | Variable | Depends on OCR backend |
| **Archives** | 5-50 MB/s | ~200MB per doc | ZIP, TAR, etc. |
| **Web formats** | 50-200 MB/s | Streaming | HTML, XML, JSON |



## OCR Support

Kreuzberg supports multiple OCR backends for extracting text from scanned documents and images:


- **Tesseract**

- **Easyocr**

- **Paddleocr**


### OCR Configuration Example

```python
import asyncio
from kreuzberg import extract_file

async def main() -> None:
    result = await extract_file("document.pdf")
    print(result.content)

asyncio.run(main())
```




## Async Support

This binding provides full async/await support for non-blocking document processing:

```python
import asyncio
from pathlib import Path
from kreuzberg import extract_file

async def main() -> None:
    file_path: Path = Path("document.pdf")

    result = await extract_file(file_path)

    print(f"Content: {result.content}")
    print(f"MIME Type: {result.metadata.format_type}")
    print(f"Tables: {len(result.tables)}")

asyncio.run(main())
```




## Plugin System

Kreuzberg supports extensible post-processing plugins for custom text transformation and filtering.

For detailed plugin documentation, visit [Plugin System Guide](https://kreuzberg.dev/guides/plugins/).




## Embeddings Support

Generate vector embeddings for extracted text using the built-in ONNX Runtime support. Requires ONNX Runtime installation.

**[Embeddings Guide](https://kreuzberg.dev/features/#embeddings)**



## Batch Processing

Process multiple documents efficiently:

```python
import asyncio
from kreuzberg import extract_file, ExtractionConfig, OcrConfig, TesseractConfig

async def main() -> None:
    config = ExtractionConfig(
        force_ocr=True,
        ocr=OcrConfig(
            backend="tesseract",
            language="eng",
            tesseract_config=TesseractConfig(psm=3)
        )
    )
    result = await extract_file("scanned.pdf", config=config)
    print(result.content)
    print(f"Detected Languages: {result.detected_languages}")

asyncio.run(main())
```




## Configuration

For advanced configuration options including language detection, table extraction, OCR settings, and more:

**[Configuration Guide](https://kreuzberg.dev/guides/configuration/)**

## Documentation

- **[Official Documentation](https://kreuzberg.dev/)**
- **[API Reference](https://kreuzberg.dev/reference/api-python/)**
- **[Examples & Guides](https://kreuzberg.dev/guides/)**

## Contributing

Contributions are welcome! See [Contributing Guide](https://github.com/kreuzberg-dev/kreuzberg/blob/main/CONTRIBUTING.md).

## License

MIT License - see LICENSE file for details.

## Support

- **Discord Community**: [Join our Discord](https://discord.gg/xt9WY3GnKR)
- **GitHub Issues**: [Report bugs](https://github.com/kreuzberg-dev/kreuzberg/issues)
- **Discussions**: [Ask questions](https://github.com/kreuzberg-dev/kreuzberg/discussions)