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Image to ASCII

Convert any image to ASCII art with configurable width and character sets. Download as TXT, HTML or colored PNG.

No sign-up 100% free Private

Drag and drop an image here, or press Ctrl+V to paste

JPG, PNG, WEBP — Ctrl+V para colar

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Image to ASCII Art — Convert Photos to Text Art Characters

The Image to ASCII Art converter transforms any image into ASCII art using character density mapping. Upload a photo and the tool renders it as a grid of text characters, where denser characters represent darker areas and lighter characters represent brighter regions.

The tool converts each pixel or pixel block to a grayscale value, then maps that brightness to a character from a density ramp — from spaces and dots (light) to @ and # (dark). You can configure the output width in characters, choose between standard and extended character sets, and toggle inverted brightness for dark backgrounds. The result can be copied as plain text or downloaded.

Developers use ASCII art for README decorations, terminal splash screens, and CLI tool branding. Retro computing enthusiasts create text-mode art reminiscent of BBS culture. Social media users convert photos to ASCII for creative posts and comments that work in text-only environments.

Image to ASCII Art is part of the facilita.tools suite of free browser-based creative utilities. Available in Portuguese, English, and Spanish, optimized for desktop and mobile browsers.

Frequently Asked Questions

How does character density mapping work?
Each pixel's brightness is mapped to a character based on how much "ink" that character uses. Dark pixels become dense characters like @ or #, while light pixels become spaces or dots.
Can I adjust the output width?
Yes. Set the width in characters (e.g., 80, 120, 200). Wider outputs capture more detail but require a monospaced font and wide display to view properly.
Which character set produces the best results?
The extended character set with more density levels (e.g., " .:-=+*#%@") produces smoother gradients. The standard set is simpler but works better for smaller output sizes.