100% Client-Side • Zero Cloud Uploads

Image Compressor

Reduce image file size with lossless quality, exact KB target mode, and multi-file batch ZIP download.

Drop your image here

Drag & drop single photo for Studio Mode, or multiple photos for 1-Click Batch Processing

Choose File
JPG, PNG, WebP, GIF, BMPPaste supported (Ctrl+V / ⌘V)Max: 50 MB

Your images stay on your device

Processing happens 100% locally in your browser. Files are never uploaded to any cloud server.

Step-by-Step Guide

How to use this tool

1

Select or Drop Images

Upload single or multiple images (JPG, PNG, WebP) or paste from clipboard.

2

Choose Compression Mode

Use the visual quality slider or type an exact target file size in KB (e.g. 200 KB).

3

Download Image or ZIP

Download your compressed image instantly or export all batch files in a single ZIP.

Key Capabilities

Why use Image Toolkit?

Exact Target Size (KB) Mode

Set an exact maximum file size threshold (e.g. 200 KB) for strict passport, visa, or job application forms.

Multi-File Batch ZIP Archive

Compress dozens of photos at once and download everything in one organized .zip file.

100% Private & Local

Your photos never leave your device. All compression happens directly in your browser.

Technical Specifications

How Image Compressor Works in Your Browser

Unlike conventional online conversion websites that upload your files to remote cloud servers, Lumino processes your media 100% client-side inside your browser sandbox using modern WebAssembly (WASM), WebGPU, and the HTML5 Canvas 2D API.

This means your sensitive photos, identity cards, passport scans, and proprietary design files are processed directly on your local device hardware (RAM/GPU) and are never transmitted across the internet.

Supported InputsJPG, PNG, WebP, SVG, BMP, TIFF, GIF, HEIC
Processing EngineWASM SIMD + Canvas 2D + WebGPU
Privacy & StorageZero Cloud Uploads • Memory-Only
Frequently Asked Questions

Everything You Need to Know

Clear answers on privacy, security, file limits, and image quality.

It utilizes modern browser Canvas and WebP/JPEG encoding with binary-search quantization to compress images locally.