Remove the background from an image
Planned as a local AI tool: segmentation running on your own device, not on a server.
まだ利用できません
このツールはロードマップ上にあります。このページは処理の流れ・対応フォーマット・関連ツールを記録するために存在しており、実際の処理は行われず、結果も生成されません。
This page has not been translated yet and is shown in English. It is excluded from search indexing for this language until it has been.
Background removal is the single most requested image operation on the web, and it is also the one most commonly implemented by uploading your photo to somebody else’s GPU. KaiConvert’s plan is different: run the segmentation model in your browser through ONNX Runtime Web, using WebGPU where the device supports it and WebAssembly where it does not.
That design is why the tool is not shipping yet. A usable segmentation model is tens of megabytes, needs to be lazy-loaded, warmed up and run inside a Web Worker so the page stays responsive, and needs a graceful path on devices that can do none of that. Shipping a fake version in the meantime would be worse than shipping nothing.
できること
On-device inference is the goal
The model runs in your browser, so the photo never needs to be uploaded to be segmented.
WebGPU with a WASM fallback
Accelerated where the hardware allows, still functional where it does not, disabled with a clear message where neither works.
Feeds straight into the editor
A cut-out is rarely the end of the job. The result will land in the same canvas as crop, resize and export.
使い方
- 1
Capability detection
KaiConvert checks for WebGPU, WebAssembly, OffscreenCanvas and available memory before offering the feature.
- 2
Lazy model load
The segmentation model is fetched only when you actually use the tool, then cached by the browser.
- 3
Worker inference
Inference runs in a Web Worker so the interface stays responsive, and the mask is composited onto the canvas.
仕様
- This tool is not implemented yet. Nothing is processed, no image is uploaded, and no result is produced. The page documents the intended workflow and is excluded from search indexing until the feature actually works.
- Planned as Tier B (local AI): ONNX Runtime Web, WebGPU with a WebAssembly fallback, inference in a Web Worker.
KaiConvert を選ぶ理由
- ローカルツールはアップロード不要
- ページ読み込み後はオフラインでも動作
- クラウド AI は開始前に必ず明示