03 / launch•Multi-Platform Batch Cropper

One Master Asset. Every Platform Dimension.

Drop in a single image. Drag to frame it for OpenGraph, Product Hunt, Dribbble, and Favicons simultaneously, and batch-export them instantly using your local GPU.

Open Scale Cropper Explore All 15 Tools

100% Client-Side MemoryHardware-AcceleratedZero Cloud Uploads

lumist.app/scale/workspace

1200 × 630

512 × 512

Capabilities

Built for Precision and Total Privacy

Simultaneous Multi-Target Cropping

Select multiple platform targets (Twitter, Instagram, Dribbble, OpenGraph). Scale generates exact dimension frames to pan and crop simultaneously.

Interactive Manual Panning

Position your focal subject directly within each platform bounding box before exporting instead of relying on flawed center-crop heuristics.

Hardware Canvas Acceleration

Utilizes the browser's native HTML5 Canvas API to render and crop high-resolution graphics using your device's local graphics hardware.

Under The Hood

The Architecture Powering Lumist Scale

Data Privacy

Zero-Server Operations

Unreleased design systems and pre-launch SaaS dashboards remain private. Images ingest as local Blob URLs and process entirely client-side.

Verified Zero-Server Execution

Rendering Optimization

Virtual CSS Transform Offsets

Dragging images uses GPU-accelerated CSS transforms to maintain fluid 60fps panning. Only upon clicking export does Scale calculate exact mathematical pixel offsets to paint directly to an offscreen canvas.

Verified Zero-Server Execution

Clarity & Trust

Frequently Asked Questions

Can I adjust zoom magnification independently on each platform crop?

Each platform viewport features independent zoom magnification sliders and panning coordinates, guaranteeing custom framing for every target aspect ratio.

Does Scale integrate with Lumist Crush?

Scale and Crush work together seamlessly. Crop your high-resolution assets in Scale first, then drop the exported PNGs into Lumist Crush to convert them to WebP and scrub EXIF metadata before production deployment.

Ready to execute locally with Scale?

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