# Elixir

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Extract text, tables, images, and metadata from 56 file formats including PDF, Office documents, and images. Elixir bindings with native BEAM concurrency, OTP integration, and idiomatic Elixir API.


## Installation

### Package Installation




Add to your `mix.exs` dependencies:

```elixir
def deps do
  [
    kreuzberg: "~> 4.0"
  ]
end
```

Then run:

```bash
mix deps.get
```




### System Requirements

- **Elixir 1.12+** and **Erlang/OTP 24+** required
- Optional: [ONNX Runtime](https://github.com/microsoft/onnxruntime/releases) version 1.22.x 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:

```elixir title="Elixir"
# Basic document extraction workflow
# Load file -> extract -> access results

{:ok, result} = Kreuzberg.extract_file("document.pdf")

IO.puts("Extracted Content:")
IO.puts(result.content)

IO.puts("\nMetadata:")
IO.puts("Format: #{inspect(result.metadata.format_type)}")
IO.puts("Tables found: #{length(result.tables)}")
```


### Common Use Cases

#### Extract with Custom Configuration

Most use cases benefit from configuration to control extraction behavior:


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

```elixir title="Elixir"
alias Kreuzberg.ExtractionConfig

config = %ExtractionConfig{
  ocr: %{"enabled" => true, "backend" => "tesseract"}
}

{:ok, result} = Kreuzberg.extract_file("scanned_document.pdf", nil, config)

content = result.content
IO.puts("OCR Extracted content:")
IO.puts(content)
IO.puts("Metadata: #{inspect(result.metadata)}")
```




#### Table Extraction


See [Table Extraction Guide](https://kreuzberg.dev/features/table-extraction/) for detailed examples.



#### Processing Multiple Files


```elixir title="Elixir"
file_paths = ["document1.pdf", "document2.pdf", "document3.pdf"]

{:ok, results} = Kreuzberg.batch_extract_files(file_paths)

Enum.each(results, fn result ->
  IO.puts("File: #{result.mime_type}")
  IO.puts("Content length: #{byte_size(result.content)} characters")
  IO.puts("Tables: #{length(result.tables)}")
  IO.puts("---")
end)

IO.puts("Total files processed: #{length(results)}")
```





#### Async Processing

For non-blocking document processing:

```elixir title="Elixir"
# Extract from different file types (PDF, DOCX, etc.)

case Kreuzberg.extract_file("document.pdf") do
  {:ok, result} ->
    IO.puts("Content: #{result.content}")
    IO.puts("MIME Type: #{result.metadata.format_type}")
    IO.puts("Tables: #{length(result.tables)}")

  {:error, reason} ->
    IO.puts("Extraction failed: #{inspect(reason)}")
end
```






### 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 (56+)

56 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`, `.pnm`, `.pbm`, `.pgm`, `.ppm` | OCR, 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`, `.rst`, `.org`, `.rtf` | CommonMark, GFM, 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`, `.enw`, `.csl` | Bibliography parsing, citation extraction |
| **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**


### OCR Configuration Example

```elixir title="Elixir"
alias Kreuzberg.ExtractionConfig

config = %ExtractionConfig{
  ocr: %{"enabled" => true, "backend" => "tesseract"}
}

{:ok, result} = Kreuzberg.extract_file("scanned_document.pdf", nil, config)

content = result.content
IO.puts("OCR Extracted content:")
IO.puts(content)
IO.puts("Metadata: #{inspect(result.metadata)}")
```




## Async Support

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

```elixir title="Elixir"
# Extract from different file types (PDF, DOCX, etc.)

case Kreuzberg.extract_file("document.pdf") do
  {:ok, result} ->
    IO.puts("Content: #{result.content}")
    IO.puts("MIME Type: #{result.metadata.format_type}")
    IO.puts("Tables: #{length(result.tables)}")

  {:error, reason} ->
    IO.puts("Extraction failed: #{inspect(reason)}")
end
```




## 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/).


### Plugin Example

```elixir title="Elixir"
alias Kreuzberg.Plugin

# Word Count Post-Processor Plugin
# This post-processor automatically counts words in extracted content
# and adds the word count to the metadata.

defmodule MyApp.Plugins.WordCountProcessor do
  @behaviour Kreuzberg.Plugin.PostProcessor
  require Logger

  @impl true
  def name do
    "WordCountProcessor"
  end

  @impl true
  def processing_stage do
    :post
  end

  @impl true
  def version do
    "1.0.0"
  end

  @impl true
  def initialize do
    :ok
  end

  @impl true
  def shutdown do
    :ok
  end

  @impl true
  def process(result, _options) do
    content = result["content"] || ""
    word_count = content
      |> String.split(~r/\s+/, trim: true)
      |> length()

    # Update metadata with word count
    metadata = Map.get(result, "metadata", %{})
    updated_metadata = Map.put(metadata, "word_count", word_count)

    {:ok, Map.put(result, "metadata", updated_metadata)}
  end
end

# Register the word count post-processor
Plugin.register_post_processor(:word_count_processor, MyApp.Plugins.WordCountProcessor)

# Example usage
result = %{
  "content" => "The quick brown fox jumps over the lazy dog. This is a sample document with multiple words.",
  "metadata" => %{
    "source" => "document.pdf",
    "pages" => 1
  }
}

case MyApp.Plugins.WordCountProcessor.process(result, %{}) do
  {:ok, processed_result} ->
    word_count = processed_result["metadata"]["word_count"]
    IO.puts("Word count added: #{word_count} words")
    IO.inspect(processed_result, label: "Processed Result")

  {:error, reason} ->
    IO.puts("Processing failed: #{reason}")
end

# List all registered post-processors
{:ok, processors} = Plugin.list_post_processors()
IO.inspect(processors, label: "Registered Post-Processors")
```





## 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:

```elixir title="Elixir"
file_paths = ["document1.pdf", "document2.pdf", "document3.pdf"]

{:ok, results} = Kreuzberg.batch_extract_files(file_paths)

Enum.each(results, fn result ->
  IO.puts("File: #{result.mime_type}")
  IO.puts("Content length: #{byte_size(result.content)} characters")
  IO.puts("Tables: #{length(result.tables)}")
  IO.puts("---")
end)

IO.puts("Total files processed: #{length(results)}")
```




## 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-elixir/)**
- **[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)