From zero to annotating in minutes
Potato is a lightweight, configuration-first annotation platform with AI-powered features, multimedia support, and active learning.
Everything you need for annotation
Powerful features designed for researchers and teams.
8 Annotation Types
Radio, multiselect, likert, span, text, number, slider, and multirate annotations out of the box.
AI-Powered (2.0)
LLM integration with OpenAI, Claude, Gemini for intelligent hints, keyword highlighting, and label suggestions.
Multimedia Support
Annotate audio with waveforms, images with bounding boxes and polygons, and video with playback controls.
Active Learning
Uncertainty-based sampling prioritizes annotation on the most valuable examples, maximizing efficiency.
Zero Code Setup
Configure everything in YAML. No programming required to create sophisticated annotation interfaces.
Any Workforce
Use your own team locally, or integrate with Prolific and MTurk. Keep sensitive data in-house.
Built for every domain
Text, images, audio, or video — Potato has you covered.
Natural Language Processing
Sentiment, NER, classification
Computer Vision
Bounding boxes, polygons
Audio & Speech
Waveforms, transcription
Conversational AI
Dialogue, response eval
Multimodal
Text, image, audio combined
“Potato has transformed how our lab handles annotation projects. We went from spending weeks on infrastructure to deploying new tasks in minutes.”
Get started in 4 steps
From installation to annotation in minutes.
pip install potato-annotation# Install Potato# Create your config.yaml# Configure your taskpotato start config.yaml# Launch the server# Open localhost:8000# Start annotating!Browse the Annotation Showcase
Explore 80+ ready-to-use annotation configurations from the community.
Ready to start annotating?
Join researchers and teams worldwide using Potato.