MarkItDown

The MarkItDown library is a utility tool for converting various files to Markdown (e.g., for indexing, text analysis, etc.)

It presently supports:

• PDF (.pdf)
• PowerPoint (.pptx)
• Word (.docx)
• Excel (.xlsx)
• Images (EXIF metadata, and OCR)
• Audio (EXIF metadata, and speech transcription)
• HTML (special handling of Wikipedia, etc.)
• Various other text-based formats (csv, json, xml, etc.)

Installation

You can install markitdown using pip:

pip install markitdown

or from the source

pip install -e .

Usage

The API is simple:

from markitdown import MarkItDown

markitdown = MarkItDown()
result = markitdown.convert("test.xlsx")
print(result.text_content)

You can also configure markitdown to use Large Language Models to describe images. To do so you must provide mlm_client and mlm_model parameters to MarkItDown object, according to your specific client.

from markitdown import MarkItDown
from openai import OpenAI

client = OpenAI()
md = MarkItDown(mlm_client=client, mlm_model="gpt-4o")
result = md.convert("example.jpg")
print(result.text_content)

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.

Installation

To install the dependencies for this project, run the following command in the root of the project:

Running Tests

To run the tests for this project, use the following command:

pytest

Running Pre-commit Checks

If there are pre-commit hooks configured (indicated by the .pre-commit-config.yaml), you can test them by running:

pre-commit run --all-files

Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.