Potato
The Potato project provides a portable tool for annotating data and research materials.
About Potato
Potato is a free, self-hosted annotation platform for NLP, AI agent evaluation, generative AI, and qualitative research. It is open source and can annotate text, audio, video, images, documents, and agent traces. It can also run a qualitative data analysis workflow that uses a codebook, memos, and cases. Projects are configured through YAML files, and the homepage states that no coding is required for this.
Running your own instance requires installing it with pip or from the source repository. A live demo on HuggingFace Spaces can be used without installation. The homepage describes the tool as free, but the listing's pricing field is unknown and no plan details are given.
Key features
- Annotation of text, audio, video, images, and documents
- Step-by-step evaluation of LLM agents, tool calls, and multi-agent systems
- Qualitative data analysis with a living codebook, memos, and cases
- Import of 21 transcript and subtitle formats for audio annotation
- Local Whisper transcription and speaker diarization when no transcript exists
- Span labeling, pairwise comparison, Likert scales, and triage curation
Best for: Researchers and teams doing NLP, AI evaluation, or qualitative research who want a self-hosted annotation tool.
Good for
- Open source and self-hosted, according to the repository and homepage
- Projects are configured through YAML, with no coding stated as required
- Audio transcription and diarization can run locally with Whisper
Watch out for
- Running a personal instance requires installing the tool with pip or from source
- Some audio options use cloud ASR services, which are external to the tool
Potato at a glance
- Category
- Development › Developer Tools
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Potato FAQ
Can I try Potato without installing it?
Yes. The homepage links to a live demo on HuggingFace Spaces that needs no installation.
How are annotation projects set up?
The homepage states that Potato is configured entirely through YAML and that no coding is required.
Can audio be annotated if there is no transcript?
The homepage says Potato can run Whisper and speaker diarization locally to produce a transcript.
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