Kavij vs unbagrnd
Kavij
kavij.com
unbagrnd
zidniryi.spaceSide by side
| Figure | Kavij | unbagrnd |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| Android | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · AI Background Removers | 8.8 (#11) | 8.5 (#18) |
| API access | Yes | Yes |
| Batch processing | Multiple images can be processed together and downloaded as one ZIP archive. | Batch mode can apply a shared background and shadow, use filename templates, cancel or retry files, and export results as a ZIP on desktop. |
| Editing | Editing options include hair and fur refinement, erase and restore brushes, shape selections, background colors, gradients, and blur. | The app offers brush erase and restore with undo and redo, edge shift and smoothing controls, background color and shadow styling, and alpha matte export. |
| Free plan | Yes | Yes |
| Models | Kavij lists four models: standard, precise, fast, and anime. | Users can choose among several background-removal models, trading off speed and accuracy; the default is described as 43 MB. |
| Purpose | Kavij removes image backgrounds with AI segmentation and makes the result transparent. | unbagrnd removes photo backgrounds using on-device AI. |
| Self-hosted API | The project provides a Docker-based self-hosted API with no per-call fees or third-party quota. | The maker provides a Docker-based self-hosted REST API that processes images inside the user’s own container. |
Plans
In their own words
unbagrnd
unbagrnd removes photo backgrounds with on-device AI, and its desktop app processes images locally through ONNX Runtime. The maker says images, filenames, and metadata are not sent anywhere; the app makes a one-time model download and has no analytics, update checks, or telemetry. Users can choose among several models with different speed and accuracy tradeoffs; the default is described as 43 MB. Editing tools include brush erase and restore with undo and redo, edge shift and smoothing, background color and shadow styling, and alpha matte export. It is intended for single photos or folders, including cutout refinement and background styling. A Docker-based REST API can be self-hosted to process images inside the user’s container. Its documented defaults include a 20 MB image limit, dimensions up to 8192 pixels, batches of up to 10, and 60 requests per API key per minute. The API uses plain HTTP, so a reverse proxy is recommended for TLS when exposing it publicly. The software is free and MIT-licensed, with Android, Linux, macOS, Windows, API, and self-hosted platforms listed.