About Potato

A lightweight, configuration-first annotation platform developed at the University of Michigan.

Our Mission

We believe annotation tools should be accessible to everyone, not just teams with dedicated engineering resources. Potato was designed to let researchers go from zero to annotating in minutes, using simple YAML configuration files.

Our goal is to democratize data annotation by providing a powerful, flexible, and easy-to-use platform that supports everything from simple classification tasks to complex multimedia annotation with AI assistance.

The Team

David Jurgens

David Jurgens

Principal Investigator

University of Michigan

Jiaxin Pei

Jiaxin Pei

Lead Developer

University of Michigan

MC

Michael Chen

Developer

University of Michigan

History

22

EMNLP Demo

Potato was featured as a system demonstration at EMNLP 2022.

23

Growing Community

Expanded features based on community feedback. Active learning support added.

24

AI Integration

Added LLM support with OpenAI, Claude, and Gemini integration.

25

Version 2.0

Major release with multimedia annotation, active learning, and enhanced UI.

Citation

Cite Potato in Your Research

@inproceedings{pei-etal-2022-potato,
    title = "{POTATO}: The Portable Text Annotation Tool",
    author = "Pei, Jiaxin and Anand, Aparna and Jurgens, David",
    booktitle = "Proceedings of EMNLP 2022: System Demonstrations",
    year = "2022",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.emnlp-demos.33",
}

License

Potato is open source software released under the Polyform Shield License. This license allows free use for research and non-commercial purposes.

For commercial licensing inquiries, please contact us.

Contact for Licensing