markitdown-rs

markitdown-rs is a Rust library designed to facilitate the conversion of various document formats into markdown text. It is a Rust implementation of the original markitdown Python library.

Features

It supports:

• Excel(.xlsx)
• Word(.docx)
• PowerPoint
• PDF
• Images
• Audio
• HTML
• CSV(UTF-8)
• Text-based formats (.xml, .rss, .atom)
• ZIP

Usage

Command-Line

Installation

cargo install markitdown

Convert a File

markitdown path-to-file.pdf

Or use -o to specify the output file:

markitdown path-to-file.pdf -o document.md

Rust API

Installation

Add the following to your Cargo.toml:

[dependencies]
markitdown = "0.1.10"

Initialize MarkItDown

use markitdown::MarkItDown;

let mut md = MarkItDown::new();

Convert a File

use markitdown::{ConversionOptions, DocumentConverterResult};

let options = ConversionOptions {
    file_extension: Some(".xlsx".to_string()),
    url: None,
    llm_client: None,
    llm_model: None,
};

let result: Option<DocumentConverterResult> = md.convert("path/to/file.xlsx", Some(options));

// To use Large Language Models for image descriptions, provide llm_client and llm_model, like:

let options = ConversionOptions {
    file_extension: Some(".jpg".to_string()),
    url: None,
    llm_client: Some("gemini".to_string()),
    llm_model: Some("gemini-2.0-flash".to_string()),
};

let result: Option<DocumentConverterResult> = md.convert("path/to/file.jpg", Some(options));

if let Some(conversion_result) = result {
    println!("Converted Text: {}", conversion_result.text_content);
} else {
    println!("Conversion failed or unsupported file type.");
}

Register a Custom Converter

You can extend MarkItDown by implementing the DocumentConverter trait for your custom converters and registering them:

use markitdown::{DocumentConverter, MarkItDown};

struct MyCustomConverter;

impl DocumentConverter for MyCustomConverter {
    // Implement the required methods here
}

let mut md = MarkItDown::new();
md.register_converter(Box::new(MyCustomConverter));

License

MarkItDown is licensed under the MIT License. See LICENSE for more details.