Label Studio vs Supervisely: Which is Better in 2026?
Choosing between Label Studio and Supervisely comes down to understanding what each tool does best. This comparison breaks down the key differences so you can make an informed decision based on your specific needs, not marketing claims.
Bottom line: Label Studio is our overall pick for AI data labeling workflows. Pick Supervisely if you need its specific feature set.
Short on time? Here's the quick answer
We've tested both tools. Here's who should pick what:
Label Studio
The most flexible open-source data labeling platform for AI models and LLM fine-tuning.
Best for you if:
- • You need something completely free
- • Open-source data labeling platform for various data types.
- • Supports LLM fine-tuning, evaluation, and ML-assisted labeling.
Supervisely
Curate, label, and build production computer vision models in one comprehensive platform.
Best for you if:
- • End-to-end platform for computer vision development.
- • Comprehensive data labeling tools for various data types (images, video, LiDAR, DICOM).
| At a Glance |  Label Studio |  Supervisely |
|---|---|---|
Starts at | FreeFree tier available | Custom |
Best For | AI Data Labeling | AI Data Labeling |
Rating | - | 4.7/5 |
Free plan | Yes | No |
Choose Label Studio or Supervisely?
Choose Label Studio if
The most flexible open-source data labeling platform for AI models and LLM fine-tuning.
- Open source labeling
- Multi-type support
- Self-hostable
- You want a fully free tool (Supervisely requires payment)
Choose Supervisely if
Curate, label, and build production computer vision models in one comprehensive platform.
- Provides a complete data treatment pipeline for computer vision.
- Offers flexible deployment options, including self-hosted instances.
- Highly responsive and supportive customer service and development team.
| Feature | Label Studio | Supervisely |
|---|---|---|
| Pricing Model | Free | Paid |
| User Rating | No ratings yet | ★4.7/5 10 reviews |
| Categories | AI Data LabelingAI Fine-Tuning | AI Data LabelingComputer Vision |
In-Depth Analysis
Label Studio
The most flexible open-source data labeling platform for AI models and LLM fine-tuning.
Label Studio's Open Source tier is incredibly generous, offering a full-featured data labeling platform for free.
Watch out
Requires self-hosting infrastructure and maintenance
Strengths
- +Open source labeling
- +Multi-type support
- +Self-hostable
- +Good UI
- +Active development
Weaknesses
- -Enterprise features paid
- -Setup complexity
- -Learning curve
- -Resource intensive
- -Documentation improving
Key features
Supervisely
Curate, label, and build production computer vision models in one comprehensive platform.
Supervisely's pricing, with only an 'Enterprise' tier available via 'Contact us', makes it difficult to assess fairness.
Watch out
Likely high minimum spend for custom solutions.
Strengths
- +Provides a complete data treatment pipeline for computer vision.
- +Offers flexible deployment options, including self-hosted instances.
- +Highly responsive and supportive customer service and development team.
- +Extensive labeling capabilities for diverse data types, including medical and 3D.
- +Strong ecosystem with SDK/API for automation and integration.
Weaknesses
- -Team scaling gets expensive fast because the Pro plan starts at 199 euros per month but each additional full member costs 385 euros, so growing a labeling team quickly multiplies the bill.
- -Advanced modality capabilities are paid add-ons that stack on top of the base subscription, with Image Max and Video Max at 99 euros each, Medical Max at 149 euros, and Cloud Max at 399 euros, so a fully featured setup costs well beyond the headline price.
- -The free Community tier is tightly capped at 5 GB storage, 10,000 files, and 2 team members, and it archives inactive projects after 30 days, making it viable only for individuals or small experiments.
- -Essentials like SSO, on-premise deployment, and custom Python apps are locked behind the custom-priced Enterprise tier rather than included in the paid Pro plan.
Key features
Pricing: Label Studio vs Supervisely
| Plan | Label Studio | Supervisely |
|---|---|---|
| Tier 1 | Free Open Source | Contact us Enterprise |
Pricing verified from each vendor's public pricing page. Compare in detail on Label Studio pricing and Supervisely pricing.
Who Should Use What?
On a budget?
Label Studio is free. Supervisely is paid.
Go with: Label Studio
Want the highest-rated option?
Supervisely is rated 4.7/5. Label Studio has no ratings yet.
Go with: Supervisely
Value user reviews?
Label Studio: no ratings yet. Supervisely: 10 reviews (4.7/5).
Go with: Supervisely
3 Questions to Help You Decide
What's your budget?
Label Studio is free. Supervisely is paid. Go with Label Studio if free matters most.
What's your use case?
Both are ai data labeling tools. Compare their specific features to decide.
How important are ratings?
Supervisely is rated 4.7/5; Label Studio has no ratings yet.
Key Takeaways
Label Studio
- Completely free
- Our pick for this comparison
Supervisely
- Choose if you want curate, label, and build production computer vision models in one comprehensive platform
The Bottom Line
Label Studio is our pick.
Frequently Asked Questions
Is Label Studio or Supervisely better?
Label Studio is rated in our evaluation. Label Studio is free and Supervisely is paid.
What are Label Studio and Supervisely used for?
Label Studio: The most flexible open-source data labeling platform for AI models and LLM fine-tuning.. Supervisely: Curate, label, and build production computer vision models in one comprehensive platform..
What does Label Studio cost vs Supervisely?
Label Studio is completely free. Supervisely is a paid tool. Visit their websites for detailed pricing.