AiLounge Tools

Screenshot Beautifier & Showcase Images

Deterministic geometry / layer-model plans for backgrounds, padding, rounded corners, shadows, browser frames and social presets, with a verified 1x/2x pixel budget. No real Canvas rendering or image encoding is wired this round: the output is a verifiable JSON export plan.Processed locally

Social size presets

Fits the screenshot into fixed 1200×630, 1080×1080, 1080×1920 or 1600×900 canvases using contain-fit; padding and radius still apply; export pixels are exactly the preset size × 1x/2x.

Run in browser

Inputs and parameters

Real example

{"image":{"id":"shot-01","width":1280,"height":800,"bytes":245760,"hasAlpha":true,"format":"png"},"crop":{"x":0,"y":0,"width":1280,"height":800},"padding":48,"radius":20,"background":{"kind":"gradient","from":"#E8F3EC","to":"#F7F8F5","alpha":1},"shadow":{"blur":24,"offsetY":12,"alpha":0.18},"frame":{"kind":"browser","assetStatus":"ok"},"preset":"auto","format":"png","scale":2,"clipboardMode":"desktop-paste"}
(preset=og-1200x630; padding=48; radius=20; scale=2)
→ The preset canvas stays 1200×630 and does not grow with padding; the source is contain-fitted into the available area preserving its 1280:800 ratio; 2x export = 2400×1260 (3,024,000 px), preview 1200×630; the 64 MP ceiling is still checked in advance.

Limits and failure handling

Four fixed presets; no custom canvas sizes; no real social card images; contain-fit is geometric only and browser drawing is untested; other budgets are the same as beautify.

FAQ

Do presets stretch the image?

No: contain-fit preserves the aspect ratio and centres the image; excessive padding that leaves no room returns PADDING_TOO_LARGE.

Does 2x change the composition?

No, it is an integer upscale of the same design canvas; the layer signature is unchanged.