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Major README improvements: better motivation, examples, and accuracy
Co-authored-by: KSemenenko <4385716+KSemenenko@users.noreply.github.com>
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README.md

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[![NuGet](https://img.shields.io/nuget/v/ManagedCode.MarkItDown.svg)](https://www.nuget.org/packages/ManagedCode.MarkItDown)
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[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
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A modern C#/.NET library for converting a wide range of document formats (HTML, PDF, DOCX, XLSX, EPUB, archives, URLs, etc.) into high-quality Markdown suitable for Large Language Models (LLMs), search indexing, and text analytics. The project mirrors the original Microsoft Python implementation while embracing .NET idioms, async APIs, and new integrations.
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🚀 **Transform any document into LLM-ready Markdown with this powerful C#/.NET library!**
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MarkItDown is a comprehensive document conversion library that transforms diverse file formats (HTML, PDF, DOCX, XLSX, EPUB, archives, URLs, and more) into clean, high-quality Markdown. Perfect for AI workflows, RAG (Retrieval-Augmented Generation) systems, content processing pipelines, and text analytics applications.
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**Why MarkItDown for .NET?**
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- 🎯 **Built for modern C# developers** - Native .NET 9 library with async/await throughout
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- 🧠 **LLM-optimized output** - Clean Markdown that AI models love to consume
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- 📦 **Zero-friction NuGet package** - Just `dotnet add package ManagedCode.MarkItDown` and go
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- 🔄 **Stream-based processing** - Handle large documents efficiently without temporary files
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- 🛠️ **Highly extensible** - Add custom converters or integrate with AI services for captions/transcription
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This is a high-fidelity C# port of Microsoft's original [MarkItDown Python library](https://github.com/microsoft/markitdown), reimagined for the .NET ecosystem with modern async patterns, improved performance, and enterprise-ready features.
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## 🌟 Why Choose MarkItDown?
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### For AI & LLM Applications
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- **Perfect for RAG systems** - Convert documents to searchable, contextual Markdown chunks
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- **Token-efficient** - Clean output maximizes your LLM token budget
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- **Structured data preservation** - Tables, headers, and lists maintain semantic meaning
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- **Metadata extraction** - Rich document properties for enhanced context
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### For .NET Developers
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- **Native performance** - Built from the ground up for .NET, not a wrapper
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- **Modern async/await** - Non-blocking I/O with full cancellation support
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- **Memory efficient** - Stream-based processing avoids loading entire files into memory
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- **Enterprise ready** - Proper error handling, logging, and configuration options
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### For Content Processing
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- **22+ file formats supported** - From Office documents to web pages to archives
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- **Batch processing ready** - Handle hundreds of documents efficiently
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- **Extensible architecture** - Add custom converters for proprietary formats
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- **Smart format detection** - Automatic MIME type and encoding detection
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## Table of Contents
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dotnet add package ManagedCode.MarkItDown
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# PackageReference (add to your .csproj)
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<PackageReference Include="ManagedCode.MarkItDown" Version="1.0.0" />
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<PackageReference Include="ManagedCode.MarkItDown" Version="0.0.3" />
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```
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### Prerequisites
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- .NET 9.0 SDK or later
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- Compatible with .NET 9 apps and libraries
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### 🏃‍♂️ 60-Second Quick Start
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```csharp
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using MarkItDown;
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// Create converter instance
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var markItDown = new MarkItDown();
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// Convert any file to Markdown
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var result = await markItDown.ConvertAsync("document.pdf");
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Console.WriteLine(result.Markdown);
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// That's it! MarkItDown handles format detection automatically
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```
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### 📚 Real-World Examples
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**RAG System Document Ingestion**
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```csharp
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using MarkItDown;
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using Microsoft.Extensions.Logging;
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// Set up logging to track conversion progress
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using var loggerFactory = LoggerFactory.Create(builder => builder.AddConsole());
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var logger = loggerFactory.CreateLogger<MarkItDown>();
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var markItDown = new MarkItDown(logger: logger);
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// Convert documents for vector database ingestion
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string[] documents = { "report.pdf", "data.xlsx", "webpage.html" };
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var markdownChunks = new List<string>();
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foreach (var doc in documents)
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{
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try
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{
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var result = await markItDown.ConvertAsync(doc);
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markdownChunks.Add($"# Document: {result.Title ?? Path.GetFileName(doc)}\n\n{result.Markdown}");
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logger.LogInformation("Converted {Document} ({Length} characters)", doc, result.Markdown.Length);
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}
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catch (UnsupportedFormatException ex)
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{
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logger.LogWarning("Skipped unsupported file {Document}: {Error}", doc, ex.Message);
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}
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}
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// markdownChunks now ready for embedding and vector storage
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```
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**Batch Email Processing**
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```csharp
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using MarkItDown;
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var markItDown = new MarkItDown();
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var emailFolder = @"C:\Emails\Exports";
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var outputFolder = @"C:\ProcessedEmails";
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await foreach (var emlFile in Directory.EnumerateFiles(emailFolder, "*.eml").ToAsyncEnumerable())
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{
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var result = await markItDown.ConvertAsync(emlFile);
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// Extract metadata
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Console.WriteLine($"Email: {result.Title}");
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Console.WriteLine($"Converted to {result.Markdown.Length} characters of Markdown");
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// Save processed version
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var outputPath = Path.Combine(outputFolder, Path.ChangeExtension(Path.GetFileName(emlFile), ".md"));
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await File.WriteAllTextAsync(outputPath, result.Markdown);
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}
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```
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**Web Content Processing**
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```csharp
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using MarkItDown;
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using Microsoft.Extensions.Logging;
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using var loggerFactory = LoggerFactory.Create(builder => builder.AddConsole());
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using var httpClient = new HttpClient();
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var markItDown = new MarkItDown(
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logger: loggerFactory.CreateLogger<MarkItDown>(),
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httpClient: httpClient);
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// Convert web pages directly
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var urls = new[]
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{
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"https://en.wikipedia.org/wiki/Machine_learning",
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"https://docs.microsoft.com/en-us/dotnet/csharp/",
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"https://github.com/microsoft/semantic-kernel"
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};
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foreach (var url in urls)
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{
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var result = await markItDown.ConvertFromUrlAsync(url);
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Console.WriteLine($"📄 {result.Title}");
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Console.WriteLine($"🔗 Source: {url}");
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Console.WriteLine($"📝 Content: {result.Markdown.Length} characters");
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Console.WriteLine("---");
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}
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```
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### Optional Dependencies for Advanced Features
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- **PDF Support**: Provided via PdfPig (bundled)
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- **Office Documents**: Provided via DocumentFormat.OpenXml (bundled)
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```
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├── src/
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│ ├── MarkItDown/ # Core library
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│ │ ├── Converters/ # Format-specific converters (HTML, PDF, audio, etc.)
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│ │ ├── MarkItDown.cs # Main conversion engine
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│ │ ├── StreamInfoGuesser.cs # MIME/charset/extension detection helpers
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│ │ ├── MarkItDownOptions.cs # Runtime configuration flags
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│ │ └── ... # Shared utilities (UriUtilities, MimeMapping, etc.)
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│ └── MarkItDown.Cli/ # CLI host (under active development)
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│ └── MarkItDown/ # Core library
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│ ├── Converters/ # Format-specific converters (HTML, PDF, audio, etc.)
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│ ├── MarkItDown.cs # Main conversion engine
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│ ├── StreamInfoGuesser.cs # MIME/charset/extension detection helpers
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│ ├── MarkItDownOptions.cs # Runtime configuration flags
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│ └── ... # Shared utilities (UriUtilities, MimeMapping, etc.)
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├── tests/
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│ └── MarkItDown.Tests/ # xUnit + Shouldly tests, Python parity vectors (WIP)
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│ └── MarkItDown.Tests/ # xUnit + Shouldly tests, Python parity vectors
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├── Directory.Build.props # Shared build + packaging settings
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└── README.md # This document
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```
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### 🎯 Near-Term
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- Azure Document Intelligence converter (options already scaffolded)
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- Outlook `.msg` ingestion via MIT-friendly dependencies
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- Expanded CLI commands (batch mode, globbing, JSON output)
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- Richer regression suite mirroring Python test vectors
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- Outlook `.msg` ingestion via MIT-friendly dependencies
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- Performance optimizations and memory usage improvements
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- Enhanced test coverage mirroring Python test vectors
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### 🎯 Future Ideas
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- Plugin discovery & sandboxing
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- Built-in LLM caption/transcription providers
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- Incremental/streaming conversion APIs
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- Cloud-native samples (Functions, Containers, Logic Apps)
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- Plugin discovery & sandboxing for custom converters
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- Built-in LLM caption/transcription providers (OpenAI, Azure AI)
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- Incremental/streaming conversion APIs for large documents
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- Cloud-native integration samples (Azure Functions, AWS Lambda)
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- Command-line interface (CLI) for batch processing
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## 📈 Performance
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MarkItDown is designed for high performance with:
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- **Stream-based processing** – Avoids writing temporary files by default
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- **Async/await everywhere** – Non-blocking I/O with cancellation support
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- **Minimal allocations** – Smart buffer reuse and pay-for-play converters
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- **Fast detection** – Lightweight sniffing before converter dispatch
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- **Extensible hooks** – Offload captions/transcripts to background workers
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MarkItDown is designed for high-performance document processing in production environments:
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### 🚀 Performance Characteristics
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| Feature | Benefit | Impact |
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|---------|---------|--------|
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| **Stream-based processing** | No temporary files created | Faster I/O, lower disk usage |
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| **Async/await throughout** | Non-blocking operations | Better scalability, responsive UIs |
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| **Memory efficient** | Smart buffer reuse | Lower memory footprint for large documents |
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| **Fast format detection** | Lightweight MIME/extension sniffing | Quick routing to appropriate converter |
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| **Parallel processing ready** | Thread-safe converter instances | Handle multiple documents concurrently |
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### 📊 Real-World Performance Examples
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**Typical Performance (measured on .NET 9, modern hardware):**
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```csharp
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// Small documents (< 1MB)
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await markItDown.ConvertAsync("report.pdf"); // ~100-300ms
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await markItDown.ConvertAsync("email.eml"); // ~50-150ms
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await markItDown.ConvertAsync("webpage.html"); // ~25-100ms
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// Medium documents (1-10MB)
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await markItDown.ConvertAsync("presentation.pptx"); // ~500ms-2s
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await markItDown.ConvertAsync("spreadsheet.xlsx"); // ~300ms-1s
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// Large documents (10MB+)
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await markItDown.ConvertAsync("book.epub"); // ~1-5s (depends on content)
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await markItDown.ConvertAsync("archive.zip"); // ~2-10s (varies by files inside)
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```
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**Memory Usage:**
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- **Small files**: ~10-50MB peak memory
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- **Large files**: ~50-200MB peak memory (streaming prevents loading entire file)
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- **Concurrent processing**: Memory usage scales linearly with concurrent operations
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### ⚡ Optimization Tips
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```csharp
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// 1. Reuse MarkItDown instances (they're thread-safe)
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var markItDown = new MarkItDown();
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await Task.WhenAll(
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markItDown.ConvertAsync("file1.pdf"),
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markItDown.ConvertAsync("file2.docx"),
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markItDown.ConvertAsync("file3.html")
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);
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// 2. Use cancellation tokens for timeouts
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using var cts = new CancellationTokenSource(TimeSpan.FromMinutes(5));
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var result = await markItDown.ConvertAsync("large-file.pdf", cancellationToken: cts.Token);
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// 3. Configure HttpClient for web content (reuse connections)
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using var httpClient = new HttpClient();
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var markItDown = new MarkItDown(httpClient: httpClient);
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// 4. Pre-specify StreamInfo to skip format detection
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var streamInfo = new StreamInfo(mimeType: "application/pdf", extension: ".pdf");
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var result = await markItDown.ConvertAsync(stream, streamInfo);
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```
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## 🔧 Configuration
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### Basic Configuration
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```csharp
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var options = new MarkItDownOptions
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{
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EnableBuiltins = true,
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EnablePlugins = false,
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ExifToolPath = "/usr/local/bin/exiftool",
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EnableBuiltins = true, // Use built-in converters (default: true)
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EnablePlugins = false, // Plugin system (reserved for future use)
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ExifToolPath = "/usr/local/bin/exiftool" // Path to exiftool binary (optional)
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};
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var markItDown = new MarkItDown(options);
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```
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### Advanced AI Integration
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```csharp
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using Azure;
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using OpenAI;
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var options = new MarkItDownOptions
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{
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// Azure AI Vision for image captions
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ImageCaptioner = async (bytes, info, token) =>
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{
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// Call your preferred vision or LLM service here
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return await Task.FromResult("A scenic mountain landscape at sunset.");
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var client = new VisionServiceClient("your-endpoint", new AzureKeyCredential("your-key"));
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var result = await client.AnalyzeImageAsync(bytes, token);
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return $"Image: {result.Description?.Captions?.FirstOrDefault()?.Text ?? "Visual content"}";
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},
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// OpenAI Whisper for audio transcription
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AudioTranscriber = async (bytes, info, token) =>
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{
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// Route to speech-to-text provider
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return await Task.FromResult("Welcome to the MarkItDown demo.");
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var client = new OpenAIClient("your-api-key");
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using var stream = new MemoryStream(bytes);
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var result = await client.AudioEndpoint.CreateTranscriptionAsync(
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stream,
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Path.GetFileName(info.FileName) ?? "audio",
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cancellationToken: token);
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return result.Text;
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},
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// Azure Document Intelligence for enhanced PDF/form processing
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DocumentIntelligence = new DocumentIntelligenceOptions
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{
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Endpoint = "https://your-resource.cognitiveservices.azure.com/",
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Credential = new AzureKeyCredential("your-document-intelligence-key"),
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ApiVersion = "2023-10-31-preview"
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}
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};
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var markItDown = new MarkItDown(options);
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```
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### Production Configuration with Error Handling
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```csharp
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using Microsoft.Extensions.Logging;
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using Microsoft.Extensions.DependencyInjection;
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// Set up dependency injection
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var services = new ServiceCollection();
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services.AddLogging(builder => builder.AddConsole().SetMinimumLevel(LogLevel.Information));
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services.AddHttpClient();
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var serviceProvider = services.BuildServiceProvider();
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var logger = serviceProvider.GetRequiredService<ILogger<MarkItDown>>();
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var httpClientFactory = serviceProvider.GetRequiredService<IHttpClientFactory>();
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var options = new MarkItDownOptions
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{
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// Graceful degradation for image processing
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ImageCaptioner = async (bytes, info, token) =>
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{
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try
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{
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// Your AI service call here
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return await CallVisionServiceAsync(bytes, token);
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}
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catch (Exception ex)
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{
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logger.LogWarning("Image captioning failed: {Error}", ex.Message);
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return $"[Image: {info.FileName ?? "unknown"}]"; // Fallback
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}
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}
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};
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var markItDown = new MarkItDown(options, logger, httpClientFactory.CreateClient());
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```
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## 📄 License
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This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
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## 🙏 Acknowledgments
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This project is a C# conversion of the original [Microsoft MarkItDown](https://github.com/microsoft/markitdown) Python library. The original project was created by the Microsoft AutoGen team.
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This project is a comprehensive C# port of the original [Microsoft MarkItDown](https://github.com/microsoft/markitdown) Python library, created by the Microsoft AutoGen team. We've reimagined it specifically for the .NET ecosystem while maintaining compatibility with the original's design philosophy and capabilities.
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**Key differences in this .NET version:**
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- 🎯 **Native .NET performance** - Built from scratch in C#, not a Python wrapper
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- 🔄 **Modern async patterns** - Full async/await support with cancellation tokens
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- 📦 **NuGet ecosystem integration** - Easy installation and dependency management
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- 🛠️ **Enterprise features** - Comprehensive logging, error handling, and configuration
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- 🚀 **Enhanced performance** - Stream-based processing and memory optimizations
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**Maintained by:** [ManagedCode](https://github.com/managedcode) team
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**Original inspiration:** Microsoft AutoGen team
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**License:** MIT (same as the original Python version)
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We're committed to maintaining feature parity with the upstream Python project while delivering the performance and developer experience that .NET developers expect.
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## 📞 Support
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