Prodigy

7.0easy start · #11 of 24
in Data Labeling Software

Free to practise onnot on record
Free trialyes
Well documentedyes
Runs where you workyes

Runs on api, Linux, Mac, self-hosted, Web, Windows.

Prodigy is ranked #11 of 24 in data labeling software on The Geeks Club. It runs on API, Linux, macOS, Self-hosted, Web, Windows. There is no free plan. A free trial is offered.

Prodigy plans and pricing

All plans

Personal $390 once per lifetime license (excl. tax) 12 months of free upgrades · basic HTTP authentication · community forum support · unlimited personal and professional use prodi.gy · 30 Sept 2026

Company $490 once per seat, in packs of 5 seats (excl. tax) 12 months of free upgrades · HTTP auth and SSO with OpenID Connect · priority forum and email support · seats transferable within the company prodi.gy · 30 Sept 2026

Compared on data labeling software

Free plan: No
Image annotation: Yes
Text annotation: Yes
Audio/video annotation: Yes
Model-assisted labeling: Yes
Review workflow: Yes
API or SDK access: Yes
Deployment: both

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The record

Purpose: Prodigy is a downloadable developer tool for creating training and evaluation data for machine learning models.
Annotation: Its customizable browser-based app supports annotation workflows for text, images, audio, video, relations, multiple choice, and more.
Computer vision: Prodigy supports image classification, segmentation, and object detection.
Built-in workflows: Built-in recipes cover tasks including named entity recognition, text classification, dependency parsing, transcription, speaker diarization, training, and evaluation.
Active learning: Prodigy includes active learning models for named entity recognition, text classification, part-of-speech tagging, and dependency parsing.
Customization: Users can create custom workflows with Python recipes and build interfaces using HTML, CSS, and JavaScript.
Integrations: Prodigy has first-class support for spaCy, plugins for Hugging Face models, and integrations with major LLM API providers.
Data access: Data is accessible through a Python API and command-line interface and can be stored in SQLite, MySQL, or PostgreSQL or exported to JSON.
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.
Support: The Personal license includes community forum support; Company licenses include priority forum and email support.
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.
Audience: Prodigy is designed as a developer tool and assumes basic familiarity with Python and the command line, while annotation tasks can be completed in its web app without programming experience.
Eligibility limit: The maker says it refuses to provide Prodigy to organizations primarily engaged in military, law enforcement, intelligence, or national security work, with regulatory agencies and tax authorities exempted.
Headquarters: Berlin, Germany

Where it ranks on The Geeks Club

Best Data Labeling Software in 2026#11 of 24

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Sources

prodi.gy· checked 30 Sept 2026
prodi.gy/buy· checked 30 Sept 2026
prodi.gy/features/computer-vision· checked 30 Sept 2026