Free Image Steganography Tool

Free online LSB steganography tool. Hide secret messages inside PNG images. 100% client-side processing — nothing is uploaded to any server.

Client-Side · Zero Upload

Upload Cover Image (PNG recommended)

🖼️

Click or drag & drop image here

Supports PNG / BMP / WebP (lossless)

Secret Message to Hide

Password Protection (optional)

Stego Image (Right-click & Save as PNG)

Upload Image with Hidden Message

🔍

Click or drag & drop image here

Supports PNG / BMP / WebP

Password (if any)

Extracted Secret Message

What is LSB Steganography?

LSB (Least Significant Bit) steganography is a technique for hiding secret information within digital images. Each pixel consists of RGB color channels, each represented by 8 bits (0-255). By modifying the least significant bit of each channel, information can be stored without perceptible changes to the image.

Key Features

Hide Messages: Embed text messages inside PNG images
Extract Messages: Reveal hidden messages from stego images
Password Protection: Optional XOR encryption with password
Zero Upload: All processing happens in your browser
Lossless Storage: Saved as PNG, no data degradation

Use Cases

Digital watermarking, covert communication, copyright protection, secure message passing, CTF challenges.

FAQ

What is LSB steganography?

LSB (Least Significant Bit) steganography hides information in the least significant bits of image pixels. The changes are invisible to the human eye.

Which image formats are supported?

PNG is recommended (lossless). JPG lossy compression destroys hidden data. BMP and WebP (lossless) are also supported.

How much data can I hide?

Capacity depends on image size. A 1000×1000 PNG can hide ~375KB of text (about 190,000 characters).

Is my data safe?

All processing happens in your browser. Images and messages are never uploaded to any server.

Does the image quality degrade?

Changes are imperceptible. LSB modifies the lowest bit of each color channel, affecting pixel values by at most 1/256.

🔒 Image Steganography