Join thousands of data scientists and researchers who are already using Prodigy for radically efficent machine teaching and annotation.
freelancer, indie developer, hobbyist
startup, data science team, enterprise
Prodigy installer for Python 3.6+ on macOS / OSX, Linux and Windows.
Standalone, self-hosted annotation back-end with pluggable architecture.
Built-in annotation recipes for a wide range of machine learning tasks, including named entity recognition, span categorization, text classification, part-of-speech tagging, dependency parsing, coreference resolution, computer vision, audio and video annotation, transcription, speaker diarization, training and evaluation, and more.
Customizable web application with 20 annotation interfaces for text, images, audio, video, relations, multiple-choice, HTML, conflict resolution and more.
Active learning models for named entity recognition, text classification, part-of-speech tagging and dependency parsing.
Extensive documentation and access to the Prodigy Support Forum.
Cloud-free: Prodigy works offline on your own hardware. No data ever needs to leave your servers.
No lock-in: fully open and extensible data formats and storage solutions.
Lifetime license: buy once, keep forever and receive 12 months of free upgrades.
Want to give Prodigy a spin before you buy? You can try out all the annotation interfaces in our online demo. The documentation pages also have many rendered examples of possible configurations that you can explore.