Ridimensiona immagine
Dimensioni precise al pixel
Informazioni su questo strumento
Resize one image or a batch of images to exact pixel dimensions or by percentage. Privvert uses high-quality resampling, so down-scaled images stay sharp and up-scaled ones stay smooth. Aspect ratio is preserved by default - no squashed photos.
Use it to fit images into platform limits (Twitter caps at 4096 px), shrink camera JPEGs before email, build responsive image sets, or prep thumbnails. Everything runs in your browser - no upload of personal photos, no watermark, no signup.
Funzionalità
- Resize by pixels or percentage
- Preserve aspect ratio toggle
- Bulk resize many files at once
- Output as PNG, JPG, WebP or AVIF
- Adjustable JPG/WebP quality
- High-quality resampling (Lanczos)
- Browser-only - files never uploaded
- Lanczos resampling for sharper downsizing than browser-default bilinear
Come si usa
- Drop in one or more images.
- Enter target width and height (or a percentage).
- Pick output format and quality.
- Download the resized files (or a ZIP for batches).
Tutto avviene all'interno del tuo browser con JavaScript e WebAssembly. I tuoi file non vengono mai caricati su un server, mai memorizzati e mai visti da noi.
Domande frequenti
No - upscaling can only interpolate between existing pixels; it can't invent detail. The result is smoother but no sharper. For real upscaling, use an AI tool.
WebP is the modern default - smaller than JPG at the same quality, supported in every modern browser. JPG for maximum compatibility, PNG when you need transparency or lossless output.
Yes - transparency is preserved in PNG and WebP output.
EXIF is stripped on resize for privacy. Use the EXIF tool first if you need to preserve it.
No - upsizing can't invent detail that wasn't there. The result will look smoother (less pixelated) than nearest-neighbor scaling but won't be sharper than the source. For genuine super-resolution, dedicated AI tools are the right approach.
If you don't want to actually resize, no - just compress instead. Resizing always re-samples the pixels, which costs a small amount of sharpness even when going to the same dimensions.