Head-to-head · Image Annotation Software
Label Studio vs Supervisely
Label Studio leads on 0 checks, Supervisely on 0, and 4 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreLabel Studio · 8.8/10
- Free planboth
- Free trialonly Supervisely
Label Studio scores higher on our rubric for image annotation software: 8.8 against 8.5 out of 10; our editors rank them #3 and #6.
Label Studio is the better fit for teams wanting flexible open-source annotation. Supervisely is the better fit for large teams needing managed AI labeling.
- Label Studio fits best
Teams wanting flexible open-source annotation
- Supervisely fits best
Large teams needing managed AI labeling
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Side by side
| Feature | Label Studio 8.8/10 Visit ↗ | Supervisely 8.5/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.8 | 8.5 |
| Ranking | #3 in Image Annotation Software | #6 in Image Annotation Software |
| Best for | Teams wanting flexible open-source annotation | Large teams needing managed AI labeling |
| Pricing model | Free plan + paid | Free plan + paid |
| Starting price | — | €199/mo |
| Free plan | ✓ | ✓ |
| Free trial | — | 30 days |
| Deployment | Cloud, Self-hosted | Cloud, Self-hosted |
| Platforms | Web, Windows, macOS, Linux | Web |
| Support | Community, Docs, Tickets | Email, Community, Docs |
| Compliance | SOC 2, HIPAA, SSO/SAML | GDPR, HIPAA, SSO/SAML |
| Integrations | 4 integrations | 9 integrations |
| Built for | Small business, Mid-market, Enterprise | Solo, Small business, Mid-market, Enterprise |
| Features Label Studio 3/3 · Supervisely 3/3 | ||
| Model-assisted labeling | ✓ | ✓ |
| Team collaboration | ✓ | ✓ |
| API access | ✓ | ✓ |
| Specs | ||
| Annotation types | rectangles, ellipses, keypoints, polygons, brush masks, image classification | rectangle, line/polyline, polygon, multipolygon, point, bitmap mask, graph/keypoints, alpha mask, 2D cuboid |
| Image formats | Not checked yet | .jpg, .jpeg, .mpo, .bmp, .png, .webp, .tiff, .tif, .jfif, .avif, .heic, .heif |
| Dataset export | JSON, JSON_MIN, CSV, TSV, COCO, Pascal VOC XML, YOLO, PNG, NumPy | Supervisely Format, COCO, Pascal VOC, YOLOv8, DOTA, Cityscapes, Amazon S3, Google Cloud Storage, Microsoft Azure, S3-compatible storage |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | Label Studio is an open-source data labeling platform for machine-learning and AI teams. Its image capabilities cover classification, object detection, semantic segmentation, keypoints, rectangles, ellipses, polygons, and brush masks.… Read the review → |
Supervisely is a computer vision platform for annotating images, videos, medical imagery and 3D data, with tools for dataset management, quality assurance, model training and deployment. It suits individuals, ML researchers, open-source… Read the review → |
Strengths and trade-offs
Label Studio — where it wins
- Open-source Community Edition with configurable annotation interfaces
- Supports classification, detection, segmentation, and multiple shape tools
- Exports to JSON, CSV, COCO, Pascal VOC, YOLO, PNG, and NumPy
Where it doesn't
- Advanced quality workflows and analytics are reserved for Enterprise
- The extensive configuration may require more setup than focused tools
- Support differs by plan, from community channels to Enterprise options
Supervisely — where it wins
- AI-assisted labeling supports built-in and custom models
- Strong QA workflows with reviewers, queues and consensus labeling
- Cloud, API and self-hosted deployment options
Where it doesn't
- Pro pricing starts at €199 per month
- Some capabilities and quotas vary by edition and add-ons
- Its broad feature set may exceed simple labeling needs
- Label Studio8.8/10 · Free plan
Flexible image annotation with open-source deployment, AI assistance, and broad exports.
Visit Label StudioFull verdict → - Supervisely8.5/10 · Free plan · 30-day trial
A broad labeling and model-development platform with free access and paid team features.
Visit SuperviselyFull verdict →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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