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How It Works

1

Upload Image

Drag and drop or click to select a JPG, PNG, WebP, GIF, or SVG image.

2

Instant Conversion

The image is converted to Base64 using the FileReader API directly in your browser.

3

Copy & Use

Copy the Base64 string or full data URI and use it in your HTML, CSS, or JavaScript code.

Frequently Asked Questions

What is Base64 image encoding?
Base64 encoding converts binary image data into a text string using 64 ASCII characters. This allows images to be embedded directly in HTML, CSS, or JSON without separate file requests. The encoded string is roughly 33% larger than the original binary data.
How do I use a Data URI in HTML or CSS?
In HTML, use the data URI as the src attribute of an img tag: <img src="data:image/png;base64,..." />. In CSS, use it as a background-image: background-image: url(data:image/png;base64,...). This eliminates the need for a separate HTTP request.
Why does Base64 increase file size?
Base64 encoding represents 3 bytes of binary data using 4 ASCII characters, resulting in approximately a 33% size increase. This trade-off is acceptable for small images like icons and logos where reducing HTTP requests is more beneficial than saving bandwidth.
When should I use inline Base64 images?
Use Base64 for small images (under 10KB) like icons, logos, and simple graphics where eliminating HTTP requests improves performance. Avoid it for large images as the increased HTML/CSS file size can slow down page rendering.
Which browsers support Data URIs?
All modern browsers support data URIs including Chrome, Firefox, Safari, Edge, and Opera. Internet Explorer 8+ supports them with a 32KB size limit. There are no practical size limits in modern browsers.
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About Img to Base64

What this tool does

Advanced image tools apply effects like blur, brightness, contrast, sepia, grayscale, vignette, pixelation, and noise. They also support background removal, color palette extraction, and image-to-text (OCR) conversion.

Why use this tool

Quick image adjustments are common when preparing visuals for presentations, social media, or print. These tools provide Photoshop-like filters without the complexity, subscription, or file-upload risk of cloud-based editors.

How it works

CSS filters and Canvas pixel manipulation handle most effects. Background removal uses edge-detection algorithms. OCR leverages Tesseract.js running in a Web Worker. Color palette extraction samples dominant colors using k-means clustering.

Pro tip

For background removal on product photos, shoot against a solid, high-contrast background. The cleaner the original, the better the automatic mask will be.

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