WMCoder

Base64 Image Converter

v1.0.0

Convert images to Base64 strings or decode Base64 back into image files with previews, drag & drop upload, and download support.

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Base64 Output

Base64 output will appear here

Turn small images into data URIs—or recover files from Base64—for quick prototypes, emails, and embedded assets. Know the 33% size tax before you inline everything.

Read the full guide →

Frequently Asked Questions

What is the data URI scheme for images?
A data URI embeds resource bytes in the URL itself, e.g. `data:image/png;base64,…`. The MIME type tells the browser how to interpret the payload. It avoids a separate HTTP request but increases HTML/CSS size and bypasses normal cache granularity for that asset.
When should I inline images as Base64?
Reasonable for tiny icons, single-use sprites under a few KB, or emails where external hosting is unreliable. Poor for large photos or assets reused across pages—those should be separate files with cache headers. Always compare encoded length (~4/3 of raw binary) plus surrounding markup to the cost of one cached HTTP request.
What are the performance tradeoffs of Base64 images?
You save a round trip but grow the containing document, so first-byte HTML/CSS parsing can slow. Base64 is not compressed by gzip/brotli as efficiently as binary. Multiple inline images duplicate bytes on every page load unless your HTML is cached as a whole—usually worse than a shared static URL.
Do all modern browsers support image data URIs?
Yes for display in `img src`, CSS `url()`, and Canvas in current evergreen browsers. Very long data URIs can hit URL length limits in some contexts (not typical img src). Content Security Policy may restrict `data:` in styles or scripts—check your CSP if inline images fail silently.
Why is Base64 larger than the original binary file?
Base64 maps 3 bytes to 4 ASCII characters, yielding about a 33% expansion before compression. The payload is text, so it is less compressible than raw image bytes. That is why inlining is reserved for small assets where the request overhead dominates.