Image to Base64 Converter
Convert your images to Base64 encoded strings for use in HTML, CSS, or other applications
Image to Base64 Converter Tool
The Image to Base64 Converter is a powerful utility that transforms image files into Base64 encoded text strings. These encoded strings can be directly embedded into HTML, CSS, or other applications, eliminating the need for separate image files. Our tool processes images completely within your browser, ensuring your files remain private and secure.
Browser-Based Processing
All conversion happens directly in your browser - your images are never uploaded to any server, ensuring complete privacy and security.
Multiple Output Formats
Choose between complete Data URL format for direct HTML/CSS use or raw Base64 strings for custom implementation in your projects.
Wide Format Support
Convert any image format including JPG, PNG, GIF, SVG, WebP, and more to Base64 with full quality preservation.
Instant Preview
See your image before and after conversion to ensure the encoded version matches your requirements before implementation.
Image to Base64 Converter FAQ
What is Base64 encoding for images?
Base64 encoding is a method of converting binary image data into an ASCII text string. This encoding allows image data to be included directly in HTML, CSS, or other text-based files without requiring a separate image file. Our Image to Base64 Converter handles this conversion automatically, giving you properly formatted output ready for implementation in your projects.
How do I use a Base64 encoded image in HTML?
To use a Base64 encoded image in HTML, simply paste the Data URL output from our Image to Base64 Converter into the src attribute of an <img> tag. For example: <img src="data:image/jpeg;base64,ABC123..." alt="My Image">. The browser will decode and display the image without making an additional HTTP request, which can improve page load performance for small images.
What's the difference between Data URL and Base64 only formats?
Our Image to Base64 Converter offers two output formats: Data URL and Base64 only. A Data URL includes the MIME type prefix (e.g., data:image/jpeg;base64,) followed by the Base64 encoded data, making it ready for direct use in HTML and CSS. The Base64 only option provides just the encoded string without the prefix, which is useful for custom implementations or systems that require only the raw encoded data.
Are there size limitations for Base64 encoded images?
While our Image to Base64 Converter can process images of any size, there are practical limitations to consider. Base64 encoding increases file size by approximately 33% compared to the original binary format. Additionally, very large Base64 strings may cause performance issues in some browsers or applications. For optimal performance, we recommend using Base64 encoding primarily for smaller images (under 50KB) that need to be embedded directly in your code.
Is it secure to use this Image to Base64 Converter?
Yes, our Image to Base64 Converter is completely secure. All processing happens directly in your browser—your images are never uploaded to or stored on any server. The original image and the Base64 conversion remain entirely on your device, ensuring complete privacy and security for sensitive images or confidential visual content.
How can I use Base64 encoded images in CSS?
To use a Base64 encoded image in CSS, copy the Data URL output from our Image to Base64 Converter and use it in your background-image property. For example: background-image: url('data:image/png;base64,ABC123...');. This technique is particularly useful for small decorative elements, icons, or backgrounds that need to be included in your stylesheet without additional HTTP requests.
What image formats can I convert to Base64?
Our Image to Base64 Converter supports all common image formats, including JPEG, PNG, GIF, BMP, WebP, and SVG. Vector formats like SVG are particularly efficient when converted to Base64 since they're already text-based. The converter preserves all image quality and characteristics during the encoding process, ensuring the decoded image will appear exactly the same as the original.
