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Accepts standard base64 image strings. 0 chars
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About

Data URIs, defined by RFC 2397, allow developers to embed small files directly inline within HTML or CSS using Base64 encoding. While highly efficient for minimizing HTTP requests, these long strings of characters are unusable when a physical image file is required for saving, sharing, or standard content management systems. Furthermore, Base64 encoding incurs a mathematical overhead, expanding the file's footprint by exactly 13 compared to its binary equivalent.

This tool performs a secure, client-side extraction of the binary payload. It isolates the MIME type, decodes the Base64 matrix, and utilizes the browser's native rendering engine to transcode the visual data into a standard Joint Photographic Experts Group (JPEG) format. Crucially, because the JPEG standard does not support an alpha channel (transparency), the conversion algorithm automatically applies a solid #FFFFFF background raster beneath the image data to prevent black-matte artifacts common when extracting transparent PNG or WebP Data URIs.

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Formulas

The mathematical relationship between a Base64 encoded string and its actual binary file size is strictly proportional due to the 6-bit encoding scheme (where 4 Base64 characters represent 3 bytes of binary data). The estimation formula is:

Sizebytes L × 34 P

Where L represents the total character length of the Base64 string (excluding the data:image/...;base64, header), and P represents the number of padding characters (=) at the end of the string, which can be 0, 1, or 2.

Reference Data

Original FormatBase64 Size (Approx)Binary Size (Approx)Overhead Factor
100KB PNG133.3 KB100.0 KB1.33×
500KB WebP666.7 KB500.0 KB1.33×
1MB JPEG1.33 MB1.0 MB1.33×
5MB TIFF6.66 MB5.0 MB1.33×

Frequently Asked Questions

The JPEG format does not support an alpha channel (transparency) by design. When converting a Data URI that originated from a transparent format (like PNG or GIF) into a JPEG, the empty pixels must be filled. This tool explicitly renders a solid white (#FFFFFF) canvas behind your image before exporting to ensure the resulting JPEG looks clean and natural, avoiding default black backgrounds.
Yes. The conversion logic runs entirely in your browser's memory using the HTML5 Canvas API. However, pasting strings larger than 10-20 million characters (roughly corresponding to a 15MB+ image) may cause your browser UI to temporarily freeze while the system clipboard transfers the text. For extremely large encoded files, standard binary handling is recommended over Data URIs.
No. The entire decoding, rendering, and JPEG compression pipeline executes strictly client-side via JavaScript. No data is transmitted externally, ensuring complete privacy for sensitive embedded images.
The quality slider dictates the compression ratio applied by the canvas toBlob() algorithm. A value of 1.0 applies minimum compression (yielding the highest quality but largest file size), while lower values discard high-frequency visual data to reduce file size. For most web applications, a value between 0.8 and 0.9 provides an optimal balance between visual fidelity and byte size.