Label Studio — Open-Source Data Labeling Platform
Label Studio is an open-source data labeling platform for teams building machine learning models and AI applications.
Label Studio is an open-source data labeling platform that allows teams to annotate audio, text, images, video, and time-series data for machine learning models. It is designed for data scientists and AI researchers who need a structured environment to prepare high-quality datasets for model training. The platform provides a flexible interface to handle multiple projects simultaneously, allowing users to switch between different data types without changing tools. Business owners can use Label Studio to streamline their internal data preparation pipelines and ensure data quality through integrated validation steps. It supports manual annotation as well as model-assisted labeling to speed up the process. You can connect Label Studio to various machine learning backends to automate labeling tasks or perform active learning. The tool also features team management capabilities to track annotator performance and maintain consistency across large-scale projects. By visiting surfai.app, businesses can compare Label Studio against other data management tools to find the right fit for their 2026 AI roadmap. The open-source version of Label Studio is free to use and host on your own infrastructure, while the Enterprise version offers additional security and support features for larger organizations.
- Pricing: freemium
Specifications
| Pricing | freemium |
|---|---|
| Integrations | Amazon S3, Google Cloud Storage, Microsoft Azure, Redis, PostgreSQL, Docker |
| Best for | data-scientists, ai-researchers, ml-engineers, product-managers |
| Website status checked | 2026-10-23T12:02:20.263+00:00 |
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|---|---|---|---|
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