fil/packages/swift/README.md

# Swift

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Extract text, tables, images, and metadata from 90+ file formats and 300+ programming languages including PDF, Office documents, and images. Swift bindings via swift-bridge for macOS, iOS, and Linux, with native Swift types and async/await support.

## What This Package Provides

- **Document intelligence core** — extract text, tables, images, metadata, entities, keywords, and code intelligence from one API.
- **Format coverage** — PDF, Office, images, HTML/XML, email, archives, notebooks, citations, scientific formats, and plain text.
- **OCR choices** — Tesseract, PaddleOCR, EasyOCR 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, R, WASM, Kotlin Android, Swift, Dart, Zig, and C FFI share the same Rust implementation.
- **SwiftPM package** — Swift Concurrency API for Apple targets.

## Installation

### Package Installation

Add to your `Package.swift` dependencies:

```swift
.package(url: "https://github.com/kreuzberg-dev/kreuzberg.git", from: "5.0.0-rc.3"),
```

Then add the product to the relevant target:

```swift
.target(
    name: "YourTarget",
    dependencies: [
        .product(name: "Kreuzberg", package: "kreuzberg"),
    ]
),
```

### System Requirements
- **Swift 6.0+** (`swift-tools-version: 6.0`) on macOS 13+ or iOS 16+
- Native runtime delivered through the C FFI surface from `kreuzberg-ffi`; published artifacts ship as a binary target
- 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:

```swift title="Swift"
import Foundation
import Kreuzberg
import RustBridge

let config = try extractionConfigFromJson("{}")
let result = try extractFileSync("document.pdf", nil, config)

print(result.content().toString())
print("MIME type: \(result.mime_type().toString())")
print("Tables: \(result.tables().count)")
```

### Common Use Cases

#### Extract with Custom Configuration

Most use cases benefit from configuration to control extraction behavior:

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

```swift title="Swift"
import Foundation
import Kreuzberg
import RustBridge

let configJson = """
{
    "ocr": {
        "backend": "tesseract",
        "language": "eng"
    }
}
"""

let config = try extractionConfigFromJson(configJson)
let result = try extractFileSync("scanned.pdf", nil, config)

print(result.content().toString())
```

#### Table Extraction

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

#### Processing Multiple Files

```swift title="Swift"
import Foundation
import Kreuzberg
import RustBridge

// `BatchFileItem` is an opaque swift-bridge class with no public Swift
// constructor — build items from JSON via `batchFileItemFromJson`.
let items = RustVec<BatchFileItem>()
for path in ["doc1.pdf", "doc2.docx", "report.pdf"] {
    let json = "{\"path\": \"\(path)\"}"
    items.push(value: try batchFileItemFromJson(json))
}

let config = try extractionConfigFromJson("{}")
let results = try batchExtractFilesSync(items, config)

for (index, result) in results.enumerated() {
    print("File \(index): \(result.content().toString().count) chars")
}
```

#### Async Processing

For non-blocking document processing:

```swift title="Swift"
import Foundation
import Kreuzberg
import RustBridge

@main
struct App {
    static func main() async throws {
        let config = try extractionConfigFromJson("{}")
        // The Swift binding exposes async-compatible entrypoints; even though
        // the bridge calls are synchronous internally, callers may `await` them
        // to integrate with Swift Concurrency.
        let result = try await extractFile("document.pdf", nil, config)

        print(result.content().toString())
        print("MIME type: \(result.mime_type().toString())")
        print("Tables: \(result.tables().count)")
    }
}
```

### Next Steps

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

## Features

### Supported File Formats (90+)

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

#### Office Documents

| Category | Formats | Capabilities |
|----------|---------|--------------|
| **Word Processing** | `.docx`, `.docm`, `.dotx`, `.dotm`, `.dot`, `.odt` | Full text, tables, images, metadata, styles |
| **Spreadsheets** | `.xlsx`, `.xlsm`, `.xlsb`, `.xls`, `.xla`, `.xlam`, `.xltm`, `.xltx`, `.xlt`, `.ods` | Sheet data, formulas, cell metadata, charts |
| **Presentations** | `.pptx`, `.pptm`, `.ppsx`, `.potx`, `.potm`, `.pot`, `.ppt` | 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 |
| **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 |

#### Code Intelligence (300+ 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/kreuzberg-dev/tree-sitter-language-pack) — [documentation](https://docs.tree-sitter-language-pack.kreuzberg.dev).

**[Complete Format Reference](https://docs.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
- **Code Intelligence** - Extract structure, imports, exports, symbols, and docstrings from [300+ programming languages](https://docs.tree-sitter-language-pack.kreuzberg.dev) via tree-sitter
- **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**

- **Paddleocr**

### OCR Configuration Example

```swift title="Swift"
import Foundation
import Kreuzberg
import RustBridge

let configJson = """
{
    "ocr": {
        "backend": "tesseract",
        "language": "eng"
    }
}
"""

let config = try extractionConfigFromJson(configJson)
let result = try extractFileSync("scanned.pdf", nil, config)

print(result.content().toString())
```

## Async Support

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

```swift title="Swift"
import Foundation
import Kreuzberg
import RustBridge

@main
struct App {
    static func main() async throws {
        let config = try extractionConfigFromJson("{}")
        // The Swift binding exposes async-compatible entrypoints; even though
        // the bridge calls are synchronous internally, callers may `await` them
        // to integrate with Swift Concurrency.
        let result = try await extractFile("document.pdf", nil, config)

        print(result.content().toString())
        print("MIME type: \(result.mime_type().toString())")
        print("Tables: \(result.tables().count)")
    }
}
```

## Plugin System

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

For detailed plugin documentation, visit [Plugin System Guide](https://docs.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://docs.kreuzberg.dev/features/#embeddings)**

## Batch Processing

Process multiple documents efficiently:

```swift title="Swift"
import Foundation
import Kreuzberg
import RustBridge

// `BatchFileItem` is an opaque swift-bridge class with no public Swift
// constructor — build items from JSON via `batchFileItemFromJson`.
let items = RustVec<BatchFileItem>()
for path in ["doc1.pdf", "doc2.docx", "report.pdf"] {
    let json = "{\"path\": \"\(path)\"}"
    items.push(value: try batchFileItemFromJson(json))
}

let config = try extractionConfigFromJson("{}")
let results = try batchExtractFilesSync(items, config)

for (index, result) in results.enumerated() {
    print("File \(index): \(result.content().toString().count) chars")
}
```

## Configuration

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

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

## Documentation

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

## Contributing

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

## Part of Kreuzberg.dev

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

## License

Elastic-2.0 License — see [LICENSE](../../LICENSE) 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)