Annotate diverse data types for AI model training and validation
Label Studio is an open-source platform that helps teams prepare high-quality training data for machine learning models. It supports labeling for text, images, audio, video, time series data, and LLM responses with customizable workflows. The tool is particularly valuable for organizations needing to validate AI outputs or fine-tune large language models with human feedback.
Label text, images, audio, video, and sensor data in one platform
Accelerate workflows using model predictions as starting points
Enable multiple annotators with quality control features
Adapt labeling interfaces to specific project needs
Connect directly to ML pipelines via Python SDK and webhooks
Yes, the Community Edition remains free and open-source under Apache 2.0 license
Supports text, images, audio, video, time-series data, and LLM response evaluation
Yes, supports multiple annotators with review workflows and quality control
This tool is best for:
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Label Studio can be integrated with these apps and services:
Recent data shows that Label Studio has 247.9K monthly visits (29.2% increase from the previous month), 44.0% bounce rate, and average 2.59 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 5 countries worldwide, led by China contributing 19% of total traffic. SEO performance is shown by 5 tracked keywords, with "label studio" being the top-performing keyword with 20.9K monthly searches. See below for more info.
Monthly Visits
247.9K
Pages per Visit
2.59
Bounce Rate
44.0%
Average Time on Site
2m 38s
| SEO Keyword | Volume | CPC |
|---|---|---|
| label studio | 20.9K | $3.15 |
| labelstudio | 3.8K | $4.05 |
| label-studio | 620 | - |
| label studio api get tasks | 260 | - |
| label studio. | 640 | - |
| Source | Traffic Share |
|---|---|
| Direct | 40% |
| Search | 48% |
| Social | 2% |
| Referrals | 9% |
| Paid Referrals | 1% |
| Country Name | Traffic Share |
|---|---|
 | 19% |
 | 15% |
 | 5% |
 | 4% |
 | 4% |
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