Prodigy
- Android app
- Not listed
- Free plan
- Trial only
- Runs on
- api, Linux, Mac, self-hosted, Web, Windows

Summary
Prodigy is a developer tool and Python library for building training and evaluation data for machine learning models. Its built-in recipes support tasks such as named entity recognition, text classification, image annotation, transcription, and model evaluation. A customizable web app includes 23 interfaces for text, images, audio, video, relations, multiple choice, HTML, and conflict resolution. Developers can shape workflows with Python recipes and create interfaces using HTML, CSS, and JavaScript. Prodigy supports spaCy, Hugging Face model plugins, and integrations with major LLM API providers. Data can be stored in SQLite, MySQL, or PostgreSQL and exported as JSON or JSONL. It runs on the user's own machines, can operate without an internet connection on an air-gapped machine, and can be deployed on cloud infrastructure or on-premise. Pricing is 390.00 USD per once for Personal and 490.00 USD per once per seat in packs of five for Company, both excluding tax. A trial is available, but hosted trials are not offered to individuals.
Who it is for
Prodigy suits developers and machine-learning teams comfortable with Python and the command line. After setup, its annotation web app can also be used by annotators without programming experience.
What is good
- 23 interfaces cover multiple annotation formats.
- Custom workflows can use Python recipes.
- Runs locally and can operate air-gapped.
- Exports data as JSON and JSONL.
What to know first
- No free plan is listed.
- Personal costs 390.00 USD per once, excluding tax.
- Hosted trials are not offered to individuals.
Verdict
Prodigy combines configurable annotation workflows with local data handling and several storage and export options. Its developer-oriented setup and paid licensing are important considerations for teams choosing an annotation tool.
Prodigy plans and pricing
All plansCompared on AI image annotation tools
- Free plan
- Noprodigy.ai
- API access
- Yesprodigy.ai
Facts
- Product
- Prodigy is a downloadable developer tool and Python library for creating training and evaluation data for machine learning models.prodigy.ai · 29 Sept 2026
- Annotation tasks
- Built-in recipes cover tasks including named entity recognition, text classification, computer vision, audio and video annotation, transcription, and model training and evaluation.prodigy.ai · 29 Sept 2026
- Annotation interfaces
- The product includes a customizable web application with 23 annotation interfaces for text, images, audio, video, relations, multiple choice, HTML, and conflict resolution.prodigy.ai · 29 Sept 2026
- Customization
- Users can define workflows with Python recipes and build custom interfaces using HTML, CSS, and JavaScript.prodigy.ai · 29 Sept 2026
- Integrations
- Prodigy has first-class support for spaCy, plugins for Hugging Face models, and out-of-the-box integrations with major LLM API providers.prodigy.ai · 29 Sept 2026
- Storage and exports
- It supports storage options including SQLite, MySQL, and PostgreSQL, and exports data to JSON.prodigy.ai · 29 Sept 2026
- Privacy
- Prodigy runs on the user's own machines, does not connect to the maker's or third-party servers, and can operate on an air-gapped machine.prodigy.ai · 29 Sept 2026
- Deployment
- The standard Python web server and application can be deployed on any cloud provider or entirely on-premise.prodigy.ai · 29 Sept 2026
- Trial
- The maker offers hosted virtual-machine trials to companies and organizations, and can arrange a trial license and installer for privacy-sensitive use cases; hosted trials are not offered to individuals.prodigy.ai · 29 Sept 2026
- Support
- The product includes documentation and access to a support forum; company licenses also include priority forum and email support.prodigy.ai · 29 Sept 2026
- Intended users
- Prodigy is designed as a developer tool and assumes basic familiarity with Python and the command line, while its annotation web app can be used without programming experience after setup.prodigy.ai · 29 Sept 2026
- Research offer
- Researchers at degree-granting academic institutions can apply for an interim license to use Prodigy for free.prodigy.ai · 29 Sept 2026
- Use restrictions
- Explosion says it refuses to provide its software to entities primarily engaged in military, law enforcement, intelligence, and national security work, with regulatory agencies and tax authorities exempted.prodigy.ai · 29 Sept 2026
- Maker
- Prodigy is made by ExplosionAI GmbH, whose legal imprint lists its address in Berlin, Germany.explosion.ai · 29 Sept 2026
Company
- Founded
- 2016prodigy.ai · 28 Sept 2026
- Headquarters
- Berlin, Germanyprodigy.ai · 28 Sept 2026
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Sources
- prodigy.ai· checked 29 Sept 2026
- prodigy.ai/buy· checked 29 Sept 2026
- explosion.ai/legal· checked 29 Sept 2026



