Head-to-head · AI Image Segmentation Software
Aivia vs CVAT
Aivia leads on 4 checks, CVAT on 2, and 0 are even. Who comes out ahead on the 6 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreAivia · 8.7/10
- Free planonly CVAT
- Most featuresAivia · 4 of 5
Aivia scores higher on our rubric for ai image segmentation software: 8.7 against 8.5 out of 10; our editors rank them #5 and #7.
CVAT offers free plan; Aivia doesn't. Aivia offers semantic segmentation; CVAT doesn't publish it. Aivia offers instance segmentation; CVAT doesn't publish it. Aivia offers video segmentation; CVAT doesn't publish it. Aivia offers model training; CVAT doesn't publish it.
Aivia is the better fit for microscopy teams segmenting and analyzing cells. CVAT is the better fit for teams annotating image, video, and 3D datasets.
- Aivia fits best
Microscopy teams segmenting and analyzing cells
- CVAT fits best
Teams annotating image, video, and 3D datasets
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Side by side
| Feature | Aivia 8.7/10 Visit ↗ | CVAT 8.5/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.7 | 8.5 |
| Ranking | #5 in AI Image Segmentation Software | #7 in AI Image Segmentation Software |
| Best for | Microscopy teams segmenting and analyzing cells | Teams annotating image, video, and 3D datasets |
| Pricing model | Paid | Free plan + paid |
| Starting price | Not published | $23/user/mo |
| Free plan | — | ✓ (best) |
| Free trial | — | — |
| Deployment | Cloud, Desktop, Browser extension | Cloud, Self-hosted |
| Platforms | Windows, Web | Web |
| Support | Docs | Community, Docs |
| Built for | Small business, Mid-market, Enterprise | Solo, Small business, Mid-market, Enterprise |
| Features Aivia 4/5 · CVAT 1/5 | ||
| Semantic segmentation | ✓ (best) | Not published |
| Instance segmentation | ✓ (best) | Not published |
| Video segmentation | ✓ (best) | Not published |
| Model training | ✓ (best) | Not published |
| API access | Not published | ✓ (best) |
| Specs | ||
| Deployment options | Cloud | Not published |
| Supported frameworks | Not published | Not published |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | Aivia is microscopy image analysis software from Leica Microsystems for biological researchers, laboratories, and imaging core facilities. It combines visualization with segmentation, detection, tracking, classification, and phenotyping… Read the review → |
CVAT is a visual data annotation platform for teams creating computer-vision datasets from images, video, and 3D data. Its tools cover segmentation alongside rectangles, polygons, polylines, points, ellipses, cuboids, skeletons, and tags.… Read the review → |
Strengths and trade-offs
Aivia — where it wins
- Segments and tracks cells in 2D and 3D, including multi-channel detection
- Batch recipes and multi-well assay workflows support repeatable analysis
- Apex can apply and export imported deep-learning models
Where it doesn't
- Subscription pricing requires a quote rather than published plan prices
- Specialized biology recipes and expanded model tools depend on the tier
- Its microscopy focus may not suit general-purpose image segmentation
CVAT — where it wins
- Annotates images, video, and 3D data with brush/mask and shape tools
- AI-assisted labeling plus dataset import and export in computer-vision formats
- Offers a REST API, Python SDK, CLI, and cloud or self-hosted deployment
Where it doesn't
- The free online plan is limited to 1–2 members
- Solo plans are for personal workspaces; team collaboration requires a Team plan
- Its core focus is annotation and data workflows, not segmentation-model training
- Aivia8.7/10 · Pricing on request
Microscopy-focused analysis with deep-learning segmentation, batch workflows, and cell phenotyping.
Visit AiviaFull verdict → - CVAT8.5/10 · Free plan · paid from $23/user/mo (annual)
A flexible annotation workspace for image, video, and 3D data—not model training.
Visit CVATFull verdict →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update

