Plans and Pricing
Compare pricing of BgEraser vs Compare with the following detailed pricing plan info. BgEraser comes in 2 packages: Foundation, Strength. On the other hand, Compare has not provided information about its pricing.
Canva Teams
Custom (per-person pricing, from ~$10-20/person/month depending on team size)
Includes Background Remover for all team members
Screenshot
Take a look at the below screenshots and seamlessly compare the user interface of BgEraser and Canva Background Remover for better insights.
Features
Compare between BgEraser and Canva Background Remover on their key features and functionalities to pick the right one for your business.
- AI-powered automatic background removal
- Batch processing of up to 20 images per session
- Transparent PNG output
- Solid color background replacement option
- Support for JPG, PNG, and WebP uploads
- No account or sign-up required
- ZIP download of batch results
- Automatic deletion of uploaded files within 2 hours
- Browser-based, no software installation needed
- One-click AI background removal for photos
- Works on people, animals, objects, and product images
- Erase tool to manually clean up remaining background areas
- Restore tool to bring back accidentally removed subject parts
- Supports JPG, PNG, HEIC, and HEIF upload formats
- Can be applied directly to Canva's built-in stock photo library
- Export as transparent-background PNG
- Processes up to 500 images per 24 hours (Pro)
- Integrated directly into the Canva design editor for immediate reuse in designs
Additional Details
| Details | BgEraser | Canva Background Remover |
|---|---|---|
| Languages | English | English |
| Country | United States | Australia |
| API Available | ✖ | ✖ |
| Run On Mobile Browser | ✔ | ✔ |
| Free Plan | ✔ | ✖ |
| Customization | ✖ | ✖ |
| Support | Email, Live Support | |
| Target Audience | Freelancers, SMEs, Agencies | Freelancers, Startups, SMEs, Agencies |
| Platforms | Web App | Web App |
| Subscription Plans | Monthly | Monthly |
| Deployment | cloud based | cloud based |