Pixlane
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Développer le canevas

Développez la toile photo en dispositions carrées, portrait ou grand écran sans recadrer l'image d'origine, en utilisant un remplissage flou, uni ou transparent.

Développer le canevas est utile lorsqu'une plate-forme a besoin d'un rapport hauteur/largeur différent de celui de la photo que vous avez déjà. Au lieu de couper du contenu, vous pouvez conserver l'image d'origine entièrement visible et créer un espace de cadre supplémentaire autour d'elle pour les publications sur les réseaux sociaux, les publicités, les miniatures et les mises en page de catalogue.

How to Use It

  1. Upload your image and wait for the local preview to load.
  2. Adjust the settings — Pick a target layout like square, 4:5, 16:9, or custom size, then choose anchor position and padding fill style.
  3. Download the result after the tool renders on your device.

Why People Use Développer le canevas

Choose the target aspect ratio first, then pick an anchor and fill style so the original image stays balanced inside the new frame.

Formats and Output

Supports JPG, PNG, and WebP. Transparent padding is best exported as PNG, while blur or solid backgrounds can be saved as PNG, JPG, or WebP.

Frequently Asked Questions

Does Expand Canvas crop the original image?

No. The tool keeps the full image visible and only adds space around it to fit the new layout.

When should I use blurred padding?

Blurred padding works well for social content and thumbnails because it fills the new frame without introducing harsh empty borders.

Can I make a square post from a landscape image?

Yes. Choose the Square preset and Pixlane will add padding instead of cropping the landscape photo.

Is Expand Canvas free to use?

Yes. Expand Canvas is free, browser-based, and private.

Are my files stored on a server?

No. All processing happens entirely in your browser. Your files never leave your device and are never uploaded to any server.

How long does processing take?

Processing runs directly in your browser. Most operations complete in under 5 seconds depending on file size.

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