Remove a simple background without AI
Use a color wand, rectangle or polygon to remove selected regions and refine with brushes. AI segmentation is optional.
Remove simple backgrounds with manual brushes, color selection and shapes—no AI required. Refine a cutout, compose new backgrounds, save a project or export real PNG and JPEG files. Optional local AI can suggest a first mask.
Import → Select/Erase → Refine → Compose → Export. Optional AI is never required.
Import a photograph to begin.
Add a portrait, product photo, pet or other image. Your original will stay untouched.
Transparent mode produces alpha PNG. Other background styles are flattened; JPEG always uses an opaque backdrop. Output is capped at working image dimensions.
Use a color wand, rectangle or polygon to remove selected regions and refine with brushes. AI segmentation is optional.
Feather delicate boundaries, tighten color fringes and manually restore or erase mistakes.
Make a transparent PNG or export a solid, gradient or photographic background design.
Automatic segmentation can miss transparent objects, complex hair and overlapping subjects. Manual corrections and the full-resolution working preview can help, but they cannot reconstruct unseen pixels. Processing resolution is capped for device stability; original metadata is not preserved. The editor does not upload your image; optional AI downloads public model/runtime files only with approval. Work and export resolution is capped, and no tool can reconstruct unseen pixels.
Open a photograph and start with no-AI color selection, rectangle, polygon or a manual brush; use optional AI only if requested. Compare the cutout, add a local background if needed and export the image or mask. Keep the original separately.
AI removal downloads U²-Netp and ONNX Runtime on demand; external providers receive asset requests. Salient-subject segmentation is not specialist hair/glass matting, and difficult edges can need manual correction. Image/working-resolution budgets apply. Editable project JSON includes the working-resolution image, mask and settings, but not full original-resolution pixels. Metadata and camera-resolution preservation are not guaranteed.
References: U²-Netp model · U²-Net attribution and license · ONNX Runtime
Start with manual color-wand, rectangle, polygon or brush editing; optional U²-Netp can suggest a foreground mask when requested. Refine the result, compose a background and export an image or editable project.
Transparent PNG preserves the cutout; JPEG flattens the chosen background. Project JSON keeps the working-resolution image, mask and settings, not all original-resolution pixels. Keep the original separately.
Authored example: Use a fictional product photo against a flat-color backdrop. Select part of the background with Color wand, inspect the edge and restore a small subject area with the brush. This is an authored workflow, not a segmentation result.
Limits and model handling: Manual tools do not require AI. Choosing AI downloads an approximately 4.6 MB U²-Netp model and ONNX Runtime assets from external providers; inference runs locally and the app does not intentionally send the photo to an inference server. Manual edges still need review.
Yes. Start with the color wand, rectangle, polygon or manual brush. The AI model is only requested if you choose the AI action.
The model and runtime are downloaded from external providers, but inference runs locally in the browser; the app does not intentionally send your image to an inference server.