Base64 to Image

How to use Base64 to Image

1. Review the populated example and the input units, then replace it with your data.
2. Use Base64 to Image on your input. Configure Image Data URI and inspect the result before copying it.
3. Run the tool, inspect the result, then copy or download what you need.

Method and scope

Use Base64 to Image on your input. Configure Image Data URI and inspect the result before copying it.

Images stay on your device. Prefer under 40 megapixels per image. Animation uses the first frame; output does not retain EXIF. Large batches are processed sequentially.

Input example

Image Data URI: data:image/png;base64,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

Questions and result checks

Image Data URI: 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