Head-to-head · Image Annotation Software
Roboflow vs Supervisely
Roboflow 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 scoreRoboflow · 8.7/10
- Free planboth
- Free trialboth
Roboflow scores higher on our rubric for image annotation software: 8.7 against 8.5 out of 10; our editors rank them #4 and #6.
Roboflow is the better fit for teams needing annotation plus model deployment. Supervisely is the better fit for large teams needing managed AI labeling.
- Roboflow fits best
Teams needing annotation plus model deployment
- Supervisely fits best
Large teams needing managed AI labeling
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Side by side
| Feature | Roboflow 8.7/10 Visit ↗ | Supervisely 8.5/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.7 | 8.5 |
| Ranking | #4 in Image Annotation Software | #6 in Image Annotation Software |
| Best for | Teams needing annotation plus model deployment | Large teams needing managed AI labeling |
| Pricing model | Free plan + paid | Free plan + paid |
| Starting price | — | €199/mo |
| Free plan | ✓ | ✓ |
| Free trial | 14 days | 30 days |
| Free trial length | 14 days | 30 days · no card needed |
| Deployment | Cloud, Self-hosted, Mobile | Cloud, Self-hosted |
| Platforms | Web, iOS, Android | Web |
| Support | Email, Live chat, Community, Docs · 24/7 | Email, Community, Docs |
| Compliance | SOC 2, HIPAA, PCI DSS | GDPR, HIPAA, SSO/SAML |
| Integrations | 16 integrations | 9 integrations |
| Built for | Small business, Mid-market, Enterprise | Solo, Small business, Mid-market, Enterprise |
| Features Roboflow 3/3 · Supervisely 3/3 | ||
| Model-assisted labeling | ✓ | ✓ |
| Team collaboration | ✓ | ✓ |
| API access | ✓ | ✓ |
| Specs | ||
| Annotation types | bounding boxes, polygons, segmentation masks, classification labels, keypoints | rectangle, line/polyline, polygon, multipolygon, point, bitmap mask, graph/keypoints, alpha mask, 2D cuboid |
| Image formats | JPG, PNG, WEBP, AVIF, BMP | .jpg, .jpeg, .mpo, .bmp, .png, .webp, .tiff, .tif, .jfif, .avif, .heic, .heif |
| Dataset export | JSON, XML, CSV, TXT, and 30+ additional formats | Supervisely Format, COCO, Pascal VOC, YOLOv8, DOTA, Cityscapes, Amazon S3, Google Cloud Storage, Microsoft Azure, S3-compatible storage |
| Our review | ||
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| Our verdict | Roboflow is a computer vision platform for developers, researchers, and enterprises that need image annotation alongside model development and deployment. Its browser-based workspace supports bounding boxes, polygons, segmentation 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
Roboflow — where it wins
- Supports boxes, polygons, masks, classification labels, and keypoints
- Combines AI labeling, dataset management, training, and deployment
- Offers cloud, edge, self-hosted, REST API, and SDK access
Where it doesn't
- The Public plan requires data and models to be open source
- Core costs $79/month annually or $99/month monthly
- Enterprise features use custom pricing
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
- Roboflow8.7/10 · Free plan · 14-day trial
A broad image annotation and deployment platform with a free public tier and paid private-data plans.
Visit RoboflowFull 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
Last updated · How we research and update





