Label Studio

Label Studio is an open-source data tagging tool that allows you to tag audio, text, video, and time series data. It offers the opportunity to export to various model formats in order to prepare raw data or improve existing training data. It can be installed locally or in the cloud environment and can be customized for the special data sets needed.

LA

HumanSignal · MLOps & AI Infrastructure

STARS28.6K
FORKS3.8K
COMMITS—
CONTRIBUTORS156
VERSIONv1.5.0post0
UPDATEDtoday
mlopsdata-labelingannotationpythonApache-2.0

Common commercial products in this category: Weights & Biases, Amazon SageMaker, Databricks

What can it do?
  • You label raw data in audio, text, video, and time series type
  • Export tagged data to different model formats
  • Customise tool to adapt to your custom datasets
Heads up
  • • High number of open issues (959)
User reviews
  • ↑ PositiveHacker News

    Label Studio v1.0

    “Excited to post about this, Label Studio – open source data labeling tool we've started working on more than a year ago is hitting v1.0 with a lot of new goodies. We originally started working on it due to the complexity of bringing ML systems to production. So much depends on…”

Verified against README · Oct 26, 2026 · source

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