Supervisely vs Kili: Which is Better in 2026?
Choosing between Supervisely and Kili 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: Supervisely wins this matchup. SuperAnnotate is our overall AI Data Labeling pick. Kili is our free AI Data Labeling pick. Pick Kili if you need a free tier to start with.
Short on time? Here's the quick answer
We've tested both tools. Here's who should pick what:
Supervisely
Curate, label, and build production computer vision models in one comprehensive platform.
Best for you if:
- • You want provides a complete data treatment pipeline for computer vision
- • You want offers flexible deployment options, including self-hosted instances
Kili
The most robust annotation tool for building powerful AI with high-quality, trustworthy datasets.
Best for you if:
- • You want a free tier before you commit
- • You want accelerates data labeling and iteration cycles significantly
- • You want supports a wide range of complex data types and specialized formats
| At a Glance | Supervisely | Kili |
|---|---|---|
Starts at | Custom | FreeFree tier available |
Best For | AI Data Labeling | AI Data Labeling |
Rating | 4.7/5 | 4.7/5 |
Free plan | No | Yes |
Choose Supervisely or Kili?
Choose Supervisely if
Curate, label, and build production computer vision models in one comprehensive platform.
- You want provides a complete data treatment pipeline for computer vision
- You want offers flexible deployment options, including self-hosted instances
Choose Kili if
The most robust annotation tool for building powerful AI with high-quality, trustworthy datasets.
- You want a free tier before you commit
- You want accelerates data labeling and iteration cycles significantly
- You want supports a wide range of complex data types and specialized formats
| Feature | Supervisely | Kili |
|---|---|---|
| Pricing Model | Paid | Freemium |
| User Rating | ★4.7/5 10 reviews | ★4.7/5 54 reviews |
| Categories | AI Data LabelingComputer Vision | AI Data LabelingData & Databases |
In-Depth Analysis
Supervisely
Curate, label, and build production computer vision models in one comprehensive platform.
This model typically indicates a high-cost solution tailored for large organizations with significant budgets.
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
Kili
The most robust annotation tool for building powerful AI with high-quality, trustworthy datasets.
The 'Grow' and 'Enterprise' tiers, both custom, suggest a potentially expensive solution tailored for larger organizations.
Strengths
- +Accelerates data labeling and iteration cycles significantly
- +Supports a wide range of complex data types and specialized formats
- +Provides robust collaboration and quality control features for large teams
- +Offers flexible deployment options and strong security compliance
- +Integrates well with existing machine learning infrastructure
Weaknesses
- -No specific cons mentioned in the provided text.
Key features
Pricing: Supervisely vs Kili
| Plan | Supervisely | Kili |
|---|---|---|
| Tier 1 | Contact us Enterprise | $0/month Free Trial |
| Tier 2 | N/A | Custom Subscription Grow |
| Tier 3 | N/A | Custom Contract Enterprise |
Pricing verified from each vendor's public pricing page. Compare in detail on Supervisely pricing and Kili pricing.
Who Should Use What?
On a budget?
Kili has a free tier. Supervisely is paid only.
Go with: Kili
Want the highest-rated option?
Supervisely: 4.7/5 (10 reviews). Kili: 4.7/5 (54 reviews).
Go with: Supervisely
Value user reviews?
Supervisely: 10 reviews (4.7/5). Kili: 54 reviews (4.7/5).
Go with: Kili
3 Questions to Help You Decide
What's your budget?
Supervisely is paid. Kili is freemium. Kili lets you start free.
What's your use case?
Both are ai data labeling tools. Compare their specific features to decide.
How important are ratings?
Both are rated 4.7/5.
Key Takeaways
Supervisely
- Our pick for this comparison
Kili
- Has a free tier
- Larger review base (54 reviews)
The Bottom Line
Supervisely wins this matchup. SuperAnnotate is our overall AI Data Labeling pick. Kili is our free AI Data Labeling pick. Kili has a free tier if you want to test without paying.
Frequently Asked Questions
Is Supervisely or Kili better?
Supervisely is rated in our evaluation. Supervisely is paid and Kili is freemium.
What are Supervisely and Kili used for?
Supervisely: Curate, label, and build production computer vision models in one comprehensive platform.. Kili: The most robust annotation tool for building powerful AI with high-quality, trustworthy datasets..
What does Supervisely cost vs Kili?
Supervisely is a paid tool. Kili is freemium (free tier + paid plans). Visit their websites for detailed pricing.