Base64 Encoder/Decoder

Convert any text to a Base64-encoded string or decode a Base64 string back to its original text. Useful for encoding data for APIs, email attachments, and data URIs.

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Use the tool below. Your inputs stay local when the tool supports browser-only processing.

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How to use the Base64 Encoder/Decoder

1

Input Your Text or Base64 Data

Type your plain text directly into the input area or paste Base64-encoded strings that you want to decode. This Base64 encoder/decoder tool accepts standard text input as well as binary data representations, making it easy to encode data for use in data URIs or API payloads.

2

Select Encode or Decode

Choose the encode option to convert your plain text into a Base64 string, or select decode if you have a Base64 string that needs to be turned back into readable text. The Base64 encoder/decoder performs the conversion in real time so you can see the result instantly.

3

Use the Output in Your Project

Copy the generated Base64 string or decoded text with a single click. Developers commonly use a Base64 encoder/decoder to embed small images directly in HTML and CSS and to transmit binary data safely through text-based protocols like JSON and XML.

Base64 Encoder/Decoder — Frequently Asked Questions

Why do developers rely on a Base64 encoder/decoder for web development?

A Base64 encoder/decoder allows binary data such as images, audio files, or document blobs to be represented as plain ASCII text that can travel through systems designed for textual data. When you encode with this Base64 encoder/decoder tool, you produce a string that can be safely embedded in JSON responses, HTML attributes, or CSS background-image properties without corruption.

Does using a Base64 encoder/decoder make the data larger than the original?

Yes — Base64 encoding increases the data size by approximately 33 percent because every three bytes of binary data are represented as four ASCII characters. This overhead is a worthwhile trade-off when you use a Base64 encoder/decoder for secure text-based transport, but you should avoid it for very large files if bandwidth is a concern.