Convert Landscape WebP to Portrait WebP

The canvas height is kept equal to your input height; canvas width is computed from the target ratio. For a 1920×1080 input at 9:16, output is 608×1080 (height stays at 1080, width = 1080 × 9/16 = 608). For 1600×1200 at 9:16, output is 675×1200. Both dimensions are capped at 4096 px to prevent memory issues.

Blurred-background fills are what Instagram Reels, TikTok, and YouTube Shorts auto-apply when you upload a non-vertical clip. They keep the viewer’s eye on the subject while making the frame feel deliberate. Black bars look unfinished by comparison. This tool blurs the same image at radius ≈ 2% of canvas height (4 px minimum) and adds a 25% dark overlay for contrast against the foreground.

Blur fill keeps the whole original image visible (scaled to fit the canvas width) and pads the empty top/bottom with a blurred copy. Cover crop scales the original to cover the entire canvas (no padding), which means the left and right edges get cropped off. Pick Blur if you need to keep the full landscape composition; pick Cover if a cropped close-up matters more than seeing the full scene.

Yes, but the tool will warn you because the slug says “landscape” – that’s the intended use case. A square input at 9:16 gets letterboxed (blur/solid) or center-cropped (cover). A taller-than-target portrait input at 9:16 will crop top/bottom in cover mode, or get wider blur bars in blur mode.

The slider (50-100%) maps directly to the WebP quality parameter in the canvas toDataURL('image/webp', q) API. 90% is visually transparent for photographs and produces small files. 100% gets close to lossless but the file can grow 3-5× over 90%. Below 70%, you’ll see WebP compression artifacts on smooth gradients.

No – the canvas re-encoding step strips EXIF metadata (orientation, GPS, camera info) and assumes sRGB color. If your source had embedded ICC profiles or critical metadata, keep the original and use this tool only for the social-media-bound copy.

The browser’s <img> API only exposes the first frame to the canvas. So an animated WebP becomes a still portrait WebP – animation is lost. For animated conversion you’d need a dedicated WebP encoder library, which falls outside this tool’s offline-only constraint.

No hard limit, but browsers will struggle past about 4096 × 4096 input dimensions due to canvas memory. The tool auto-caps output at 4096 on either dimension and notes “downsized to 4096 cap” in the stats line when it does.

No. All decode, canvas rendering, and re-encoding happens in your browser using the FileReader and Canvas 2D APIs. Open DevTools → Network and confirm zero requests fire after the page loads – even when you Convert.

Yes. Total bundle is under 25 KB. Once loaded, disconnect and keep converting. Useful for batches of social-media assets without round-tripping through cloud services.