Head-to-head · AI Image Segmentation Software
Simpleware ScanIP vs Aivia
Simpleware ScanIP leads on 1 check, Aivia on 4, and 1 is 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 scoreSimpleware ScanIP · 8.8/10
- Most featuresAivia · 4 of 5
Simpleware ScanIP scores higher on our rubric for ai image segmentation software: 8.8 against 8.7 out of 10; our editors rank them #4 and #5.
Aivia offers semantic segmentation; Simpleware ScanIP doesn't publish it. Aivia offers instance segmentation; Simpleware ScanIP doesn't publish it. Aivia offers video segmentation; Simpleware ScanIP doesn't publish it. Aivia offers model training; Simpleware ScanIP doesn't publish it. On deployment options, Simpleware ScanIP gives you On-premises where Aivia offers Cloud.
Simpleware ScanIP is the better fit for medical and engineering teams segmenting 3D scans. Aivia is the better fit for microscopy teams segmenting and analyzing cells.
- Simpleware ScanIP fits best
Medical and engineering teams segmenting 3D scans
- Aivia fits best
Microscopy teams segmenting and analyzing cells
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Side by side
| Feature | Simpleware ScanIP 8.8/10 Visit ↗ | Aivia 8.7/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.8 | 8.7 |
| Ranking | #4 in AI Image Segmentation Software | #5 in AI Image Segmentation Software |
| Best for | Medical and engineering teams segmenting 3D scans | Microscopy teams segmenting and analyzing cells |
| Pricing model | Paid | Paid |
| Starting price | Not published | Not published |
| Free plan | — | — |
| Free trial | — | — |
| Deployment | Desktop | Cloud, Desktop, Browser extension |
| Platforms | Windows, Linux | Windows, Web |
| Support | Email, Phone | Docs |
| Built for | Small business, Mid-market, Enterprise | Small business, Mid-market, Enterprise |
| Features Simpleware ScanIP 1/5 · Aivia 4/5 | ||
| Semantic segmentation | Not published | ✓ (best) |
| Instance segmentation | Not published | ✓ (best) |
| Video segmentation | Not published | ✓ (best) |
| Model training | Not published | ✓ (best) |
| API access | ✓ (best) | Not published |
| Specs | ||
| Deployment options | On-premises | Cloud |
| Supported frameworks | Not published | Not published |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | Simpleware ScanIP is a desktop application for visualizing, processing, and segmenting 3D scan data such as CT and MRI. It is aimed at medical-imaging and engineering teams that need to turn volumetric images into masks, models, or meshes… Read the review → |
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 → |
Strengths and trade-offs
Simpleware ScanIP — where it wins
- Processes DICOM and 2D image stacks as volumetric scan data
- Exports segmented images and surface models in multiple formats
- Supports workflow automation through APIs, scripts, macros, and plugins
Where it doesn't
- Pricing requires contacting sales
- Machine-learning anatomical segmentation is available through optional modules
- Desktop deployment is limited to Windows and Linux
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
- Simpleware ScanIP8.8/10 · Pricing on request · 30-day trial
A desktop toolkit for segmenting scans and carrying the results into modeling workflows.
Visit SimplewareFull verdict → - Aivia8.7/10 · Pricing on request
Microscopy-focused analysis with deep-learning segmentation, batch workflows, and cell phenotyping.
Visit AiviaFull verdict →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update