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KaiConvert
IA localPrevisto

Blur the background of a photo

Planned as a local AI tool: keep the subject sharp and soften everything behind it.

Todavía no disponible

Esta herramienta está en la hoja de ruta. La página existe para documentar el flujo, los formatos y las herramientas relacionadas, pero no se procesa nada ni se produce ningún resultado.

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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.

A shallow depth of field is what separates a portrait from a snapshot. Phones fake it with a depth map; on an arbitrary photo you have to infer the subject first.

Because the blur itself is a straightforward canvas operation, the only hard part is the mask — which shares its model with background removal. Both ship together when local inference is ready.

Qué obtienes

  • Adjustable blur strength

    Subtle separation or a strong bokeh look, controlled by a slider rather than a preset.

  • Local segmentation

    Uses the same on-device model as background removal, so the photo stays on your machine.

  • Non-destructive

    Applied as an operation in the editor history, so it can be undone.

Cómo funciona

  1. 1

    Subject mask

    The segmentation model produces a mask separating subject from background.

  2. 2

    Blur the background layer

    A canvas blur is applied to everything outside the mask.

  3. 3

    Composite and export

    The sharp subject is drawn back over the blurred background.

Especificaciones

  • 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). Shares its segmentation model with Remove Background.

Por qué usar KaiConvert

  • Sin subidas en las herramientas locales
  • Funciona sin conexión una vez cargada la página
  • La IA en la nube siempre se indica antes de empezar

Preguntas frecuentes

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