xberg

# Elixir

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Extract text, tables, images, metadata, and code intelligence from 98 file formats and 306 programming languages including PDF, Office documents, images, and audio/video transcripts where native transcription is available. Elixir bindings with native BEAM concurrency, OTP integration, and idiomatic Elixir API.

## What This Package Provides

- **Document intelligence core** — extract text, tables, images, metadata, entities, keywords, code intelligence, and transcripts in builds that enable transcription.
- **Format coverage** — PDF, Office, images, HTML/XML, email, archives, notebooks, citations, scientific formats, plain text, and audio/video formats in builds that enable transcription.
- **OCR choices** — Tesseract, PaddleOCR, Candle where supported, VLM OCR through liter-llm, and plugin hooks for custom backends.
- **Same engine as every binding** — Rust, Python, Node.js, Go, Java, PHP, Ruby, .NET, Elixir, WASM, Kotlin Android, Swift, Dart, Zig, and C FFI share the same Rust implementation.
- **BEAM package** — Rustler NIF binding for OTP pipelines.

## Installation

### Package Installation

Add to your `mix.exs` dependencies:

```elixir
def deps do
  [
    {:xberg, "~> 1.0.4"}
  ]
end
```

Then run:

```bash
mix deps.get
```

### System Requirements

- **Elixir 1.14+** and **Erlang/OTP 26+** required
- Pre-compiled NIFs bundled via `rustler_precompiled` for macOS (arm64, x64), Linux (x64, arm64), and Windows (x64)
- Optional: [ONNX Runtime](https://github.com/microsoft/onnxruntime/releases) version 1.24+ for ORT-dependent inference features
- 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:

```exs
# Basic document extraction workflow
# Load file -> extract -> access results

{:ok, output} = Xberg.extract(input: %Xberg.ExtractInput{kind: :uri, uri: "document.pdf"}, config: nil)

result = List.first(output.results)
IO.puts("Extracted Content:")
IO.puts(result.content)

IO.puts("\nMetadata:")
IO.puts("Format: #{inspect(result.metadata.format)}")
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):**

<!-- snippet not found: ocr/tesseract_basic.exs -->

#### Table Extraction

See [Configuration Guide](https://docs.xberg.io/guides/configuration/) for table extraction options.

#### Processing Multiple Files

<!-- snippet not found: core/extract_batch.exs -->

#### Async Processing

For non-blocking document processing:

<!-- snippet not found: getting-started/extract.exs -->

### Next Steps

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

## Features

### Supported File Formats (98)

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

#### Office Documents

| Category | Formats | Capabilities |
|----------|---------|--------------|
| **Word Processing** | `.docx`, `.docm`, `.doc`, `.dotx`, `.dotm`, `.dot`, `.odt`, `.pages`, `.wpd`, `.wp`, `.wp5`, `.wp6` | Full text, tables, images, metadata, styles |
| **Spreadsheets** | `.xlsx`, `.xlsm`, `.xlsb`, `.xls`, `.xla`, `.xlam`, `.xltm`, `.xltx`, `.xlt`, `.ods`, `.numbers` | Sheet data, formulas, cell metadata, charts |
| **Presentations** | `.pptx`, `.pptm`, `.ppt`, `.ppsx`, `.potx`, `.potm`, `.pot`, `.odp`, `.key` | Slides, speaker notes, images, metadata |
| **PDF** | `.pdf` | Text, tables, images, metadata, OCR support |
| **eBooks** | `.epub`, `.fb2` | Chapters, metadata, embedded resources |
| **Database** | `.dbf` | Table data extraction, field type support |
| **Hangul** | `.hwp`, `.hwpx` | Korean document format, text extraction |

#### 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 |
| **HEIC family** | `.heic`, `.heics`, `.heif`, `.avif`, `.avcs` | EXIF metadata, optional libheif pixel decoding |
| **Vector** | `.svg` | DOM parsing, embedded text, graphics metadata |

#### Audio & Video

| Category | Formats | Features |
|----------|---------|----------|
| **Audio** | `.mp3`, `.mpga`, `.m4a`, `.wav`, `.webm` | Whisper transcription when native transcription is available |
| **Video audio track** | `.mp4`, `.mpeg`, `.webm` | Audio-track transcription only |

#### 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`, `.mdx`, `.rst`, `.org`, `.rtf` | CommonMark, GFM, Djot, MDX, reStructuredText, Org Mode |

#### Email & Archives

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

#### Academic & Scientific

| Category | Formats | Features |
|----------|---------|----------|
| **Citations** | `.bib`, `.ris`, `.nbib`, `.enw` | Structured parsing: RIS, PubMed/MEDLINE, EndNote XML, BibTeX/BibLaTeX, CSL JSON by MIME type |
| **Scientific** | `.tex`, `.latex`, `.typ`, `.typst`, `.jats`, `.ipynb` | LaTeX, Typst, Jupyter notebooks, PubMed JATS |
| **Publishing** | `.fb2`, `.docbook`, `.dbk`, `.docbook4`, `.docbook5`, `.opml` | FictionBook, DocBook XML, OPML outlines |
| **Documentation** | MIME-only POD, mdoc, troff | Technical documentation formats |

#### Code Intelligence (306 Languages)

| Feature | Description |
|---------|-------------|
| **Structure Extraction** | Functions, classes, methods, structs, interfaces, enums |
| **Import/Export Analysis** | Module dependencies, re-exports, wildcard imports |
| **Symbol Extraction** | Variables, constants, type aliases, properties |
| **Docstring Parsing** | Google, NumPy, Sphinx, JSDoc, RustDoc, and 10+ formats |
| **Diagnostics** | Parse errors with line/column positions |
| **Syntax-Aware Chunking** | Split code by semantic boundaries, not arbitrary byte offsets |

Powered by [tree-sitter-language-pack](https://github.com/xberg-io/tree-sitter-language-pack) — [documentation](https://docs.tree-sitter-language-pack.xberg.io).

**[Complete Format Reference](https://docs.xberg.io/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
- **Audio/Video Transcription** - Extract speech transcripts from MP3, M4A, WAV, WebM, and MP4 inputs when the native transcription feature is available
- **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 or provider-hosted services
- **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
- **Code Intelligence** - Extract structure, imports, exports, symbols, and docstrings from [306 programming languages](https://docs.tree-sitter-language-pack.xberg.io) via tree-sitter
- **Configuration** - Fine-grained control over extraction behavior
- **Six Output Formats** - Plain text, Markdown, Djot, HTML, JSON tree structure, or Structured JSON with OCR metadata

## OCR Support

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

- **Tesseract**

- **Paddleocr**

### OCR Configuration Example

<!-- snippet not found: ocr/tesseract_basic.exs -->

## Async Support

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

<!-- snippet not found: getting-started/extract.exs -->

## Plugin System

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

For detailed plugin documentation, visit [Plugin System Guide](https://docs.xberg.io/guides/plugins/).

### Plugin Example

```exs
alias Xberg.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 Xberg.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://docs.xberg.io/features/#embeddings)**

## Batch Processing

Process multiple documents efficiently:

<!-- snippet not found: core/extract_batch.exs -->

## Configuration

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

**[Configuration Guide](https://docs.xberg.io/guides/configuration/)**

## Documentation

- **[Official Documentation](https://docs.xberg.io/)**
- **[API Reference](https://docs.xberg.io/reference/api-python/)**
- **[Examples & Guides](https://docs.xberg.io/)**

## Contributing

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

## Part of Xberg.dev

- [crawlberg](https://github.com/xberg-io/crawlberg) — web crawling and scraping with HTML→Markdown and headless-Chrome fallback.
- [html-to-markdown](https://github.com/xberg-io/html-to-markdown) — fast, lossless HTML→Markdown engine.
- [liter-llm](https://github.com/xberg-io/liter-llm) — universal LLM API client with native bindings for 14 languages and 143 providers.
- [tree-sitter-language-pack](https://github.com/xberg-io/tree-sitter-language-pack) — tree-sitter grammars and code-intelligence primitives.
- [alef](https://github.com/xberg-io/alef) — the polyglot binding generator that produces this README and all per-language bindings.
- [Discord](https://discord.gg/xt9WY3GnKR) — community, roadmap, announcements.

## License

MIT License — see [LICENSE](../../LICENSE) for details.

## Support

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