AI Tool

Transform Your Data Annotation Experience

Build workflows with Prodigy, the modern annotation tool for machine learning.

Unlock the potential of your data with powerful, customizable annotation tools.Enjoy complete data privacy with a self-hosted, cloud-free solution.Rapidly prototype and iterate custom models with extensive integration capabilities.

Tags

BuildDataAnnotation
Visit Prodigy
Prodigy hero

Similar Tools

Compare Alternatives

Other tools you might consider

LightTag

Shares tags: build, data, annotation

Visit

LanceDB

Shares tags: build, data

Visit

Typesense

Shares tags: build, data

Visit

Meilisearch

Shares tags: build, data

Visit

overview

What is Prodigy?

Prodigy is an advanced, self-hosted annotation tool designed for machine learning enthusiasts. Focused on efficient data labeling for various tasks, it supports interactive interfaces for NLP, computer vision, audio, and video.

  • Supports 23+ annotation interfaces for diverse tasks.
  • Provides lifetime licenses with 12 months of free upgrades.
  • Runs entirely offline, ensuring maximum data security.

features

Key Features of Prodigy

Discover the robust features that set Prodigy apart in the annotation landscape. From improved support for aging models to seamless integrations with popular ML frameworks, Prodigy empowers teams to annotate with confidence.

  • Supports spaCy-transformer pipelines for advanced machine learning.
  • Offers active learning features for efficient data usage.
  • Highly extensible architecture with Python API for full customization.

use_cases

Who Can Benefit from Prodigy?

Prodigy caters to a wide array of users focused on creating secure and efficient annotation workflows. Whether you're a data scientist or part of a team developing custom AI systems, Prodigy can help streamline your processes.

  • Data scientists and machine learning engineers.
  • Teams needing secure, private annotation workflows.
  • Organizations compliant with strict data governance.

Frequently Asked Questions

How does Prodigy ensure data privacy?

Prodigy runs entirely offline, meaning no data leaves your servers, providing complete privacy and security for your annotations.

What kind of tasks can I perform with Prodigy?

Prodigy supports a variety of tasks including named entity recognition, text classification, object detection, transcription, and many more.

Can I integrate Prodigy with other machine learning tools?

Yes! Prodigy is designed for seamless integration with popular frameworks such as spaCy, Hugging Face, PyTorch, and TensorFlow.