ImgConvrt LogoImgConvrt

Technology & Architecture

How ImgConvrt works

A technical breakdown of pure client-side image processing. Every conversion runs directly in your browser memory using local device hardware.

The 4-step conversion lifecycle

01

Local memory reading

When you select or drop an image, the browser FileReader API reads the binary data into an in-memory ArrayBuffer. No bytes are sent over the network.

02

Canvas rasterization & WebAssembly decoding

The browser decodes the source image onto an offscreen HTML5 Canvas or processes raw pixel buffers using compiled WebAssembly modules (such as @jsquash/avif).

03

Hardware-accelerated encoding

Your device CPU compresses and encodes the pixels into your selected target format (JPEG, PNG, WebP, AVIF, ICO, or SVG) at native processor speed.

04

Direct blob export

The encoded output generates a temporary local blob: URL. When you click download, your browser saves the image directly to your disk, then releases the memory.

Why local processing matters

Traditional online converters send your images to remote cloud servers. This introduces network latency, file size caps, queue delays, and security risks from third-party server storage.

ImgConvrt replaces the server with your device processor. You get unlimited conversions, zero wait queues, zero daily limits, and guaranteed privacy.

How to verify our claims

1. Test offline

Load the homepage, turn off your internet, and convert an image. It works without an active connection.

2. Network inspect

Open browser developer tools (F12) and check the Network tab. Zero outbound image payload requests occur.

3. Zero storage

Closing the browser tab immediately purges all image buffers from memory.