Glossary
Base 64 Encoding

Base 64 Encoding

Roei Hazout

When you start working with data on the web, you’ll quickly come across something called Base 64 encoding. Data needs to be transferred and processed across various systems and platforms online.  

However, not all systems can handle raw binary data efficiently. Base 64 encoding plays a crucial role in bridging this gap by converting binary data into a format that can be easily handled by most systems. 

What is Base 64 Encoding?

In the simplest terms, Base 64 encoding is a way to represent binary data (like images, text, or files) using just letters, numbers, and a few special symbols. 

Computers naturally work with binary (ones and zeroes), but it’s tough for humans to read, and sometimes binary data can cause problems when sent over the web. Base 64 encoding solves this by converting that data into a format that can easily be handled by systems that don’t play well with binary.

It’s called "Base 64" because it uses 64 different characters to represent data. These characters are:

  • Uppercase letters (A-Z)
  • Lowercase letters (a-z)
  • Numbers (0-9)
  • Plus sign (+)
  • Forward slash (/)

Sometimes, an equals sign (=) is added at the end of the encoded data to help with padding, but we’ll touch on that later.

Base 64 Encoding vs. Other Encoding Methods

Base 64 is one of the many encoding methods developed over the years. Here’s how it differs from its popular peers:

Feature Base 64 Encoding Hexadecimal Encoding ASCII Encoding
Character Set 64 characters 16 characters 128 characters
Efficiency (Size) ~33% overhead ~50% overhead Efficient for text, inefficient for binary
Usage Web, Email, Binary Data storage, cryptography Text representation
Reversibility Yes Yes Yes
Binary Data Handling Supports binary Supports binary Limited to text only

How Base64 Encoding Works

It takes your data and splits it into chunks of 3 bytes. If you’re wondering, a byte is simply a group of 8 bits (think of it as 8 ones and zeroes). Since 3 bytes give us 24 bits, Base 64 splits those 24 bits into 4 groups of 6 bits each.

Why 6 bits? Because 6 bits can represent 64 different values; hence, Base 64!

Each of those 6-bit groups is then matched to one of the 64 characters we mentioned earlier (A-Z, a-z, 0-9, +, /). If there’s any leftover space when converting, that’s where the padding character (=) comes in to make sure everything lines up properly.

Let’s say you want to encode the word “Cat.” When it’s converted into binary, it gets turned into something like this:

  • C = 01000011
  • a = 01100001
  • t = 01110100

Base 64 groups that into 3-byte chunks and converts them into 4 sets of 6 bits. The result is a string of characters that look like a jumble of letters and numbers, but in reality, it’s your original data, just transformed into a safer, more transportable format.

Encoding a Simple Text String in Base 64

To better understand how Base 64 encoding works, let’s take a simple example. Consider the text string “Hello.” The process of encoding this string into Base 64 involves the following steps:

  1. Convert the string to binary: Each character in the string is converted to its binary representation:some text
    • H = 01001000
    • e = 01100101
    • l = 01101100
    • l = 01101100
    • o = 01101111
  2. Group the binary data into 6-bit chunks: Base 64 processes data in 6-bit chunks, so we take the entire binary sequence and split it:some text
    • 010010 | 000110 | 010101 | 101100 | 011011 | 000011 | 011011 | 110000
  3. Map the 6-bit chunks to Base 64 characters: Each 6-bit chunk is then mapped to its corresponding Base 64 character:some text
    • 010010 = S
    • 000110 = G
    • 010101 = V
    • 101100 = s
    • 011011 = b
    • 000011 = D
    • 011011 = b
    • 110000 = w
  4. Resulting Base 64 string: The final encoded result of the string “Hello” is “SGVsbG8=”. The equals sign (“=”) is added at the end for padding, ensuring the encoded data is a multiple of 4 characters.

This shows how a simple text string can be transformed into Base 64 format, making it safer and easier to transmit across systems that may not support binary data.

Why is Base64 Encoding Used Instead of a Bigger Number?

Why 64? Four simple reasons:

  1. 6 bits fit neatly into 24: Most data is handled in bytes. 3 bytes = 24 bits. Cut 24 into 6-bit slices and you get 4 slices. That is why 3 input bytes always become 4 Base64 characters. The math is clean and predictable.
  2. Power of two means simple code: 64 is 262^626. Powers of two line up with bits. Converting is just shifting and masking. No remainders, no tricky rounding, while still maintaining good API security.
  3. A small, safe alphabet: Those 64 characters are widely accepted by old and new systems. They avoid control characters and most punctuation that breaks in emails, logs, shells, HTML, and URLs. There is also a URL-safe variant that swaps + and / for - and _.
  4. OK size trade-off: You get about 33% extra size, which is acceptable for many uses like email attachments, tokens, and small inlined images.

Why Not 94?

  • A 94-character alphabet would include lots of punctuation that causes problems in real life. Think of spaces, quotes, backslashes, <, >, &, and others that often need escaping.
  • There are larger alphabets like Base85 that save a bit more space, but they are harder to implement and less friendly across all contexts.

A quick mental model

  • Take 3 bytes. That is 24 bits.
  • Split into four 6-bit numbers.
  • Use the index map to turn each number into a character.
  • If you do not have a full 3 bytes at the end, add padding = so the output length stays a multiple of 4.

Base64 Encode and Decode

One of the great things about Base 64 is that it’s reversible. You can easily convert your Base 64 encoded data back to its original form. This is called decoding.

For example, if you encoded the word “Cat” into Base 64, you’d get something like “Q2F0.” When you decode that back, it gives you “Cat” again. Tools to encode and decode data are freely available online, and many programming languages also have built-in functions for this.

Here’s how different languages use this functionality:

Language Encoding Function Decoding Function
Python base64.b64encode() base64.b64decode()
JavaScript btoa() atob()
PHP base64_encode() base64_decode()
Java Base64.getEncoder().encode() Base64.getDecoder().decode()
Ruby Base64.encode64() Base64.decode64()

Common Use Cases for Base64 Encoding

Base 64 encoding pops up all the time in the tech world, especially when dealing with web applications. Here are some common places you’ll see it:

  1. Storing Data in URLs: URLs can only safely handle certain characters. If you need to pass data in a URL that might contain special characters, Base 64 encoding is a great way to convert it into something URL-friendly while avoiding common vulnerabilities..
  2. Email Attachments: Ever wonder how files are sent over email? Base 64 is used to convert the attachment into a text format that email systems can handle, making sure the file stays intact from sender to receiver.
  3. Image Embedding in HTML/CSS: Sometimes, developers embed small images directly into their web pages using Base 64 encoded data. This way, there’s no need to load an external image file, which can improve loading times for small icons or logos.
  4. Data Transmission: When systems need to send binary data (like images or files) over protocols that aren’t binary-friendly (like text-based protocols), Base 64 is often used to ensure the data is transmitted without errors.
  5. Token & Credential Encoding in WAAP/CDN Authentication: Many WAAP solutions and CDNs require authentication tokens or API keys to verify requests. Base 64 encoding is often used to safely represent these credentials (for example, in HTTP Basic Auth headers or signed URLs).

Base 64 encoding is also used in techniques like DNS tunneling, where data is encoded and sent through DNS queries to bypass network restrictions. At the same time, it can also be used for DNS data exfiltration, where sensitive information is secretly sent out from a network by encoding it in DNS queries.

Is Base64 Encryption?

You might hear people talking about Base 64 in the same breath as encryption, but it’s important to know that Base 64 is not encryption. Base 64 simply converts data into a different format. Anyone can easily decode Base 64 back into the original data, so it doesn’t provide any kind of security.

Encryption, on the other hand, scrambles data in a way that only someone with the right decryption key can understand it. Base 64 can be part of a larger process where encryption is used, but on its own, it’s not a way to keep data safe from prying eyes.

{{cool-component}}‍

Advantages of Base64 Encoding

Base 64 encoding has several advantages that make it a popular choice in various scenarios:

  1. Widely Supported: Base 64 encoding is universally recognized, meaning it works on any platform or programming language.
  2. Binary-Safe: Many systems struggle with binary data. Base 64 solves this by converting binary into a plain text format that can safely pass through these systems without corruption.
  3. Easy Reversibility: You can quickly convert data back and forth using Base 64 encode and decode functions.
  4. Small Overhead: While Base 64 encoding adds a bit of extra data (about 33% more than the original), it’s still compact enough for most uses, especially when compared to other encoding methods.

Limitations of Base64 Encoding

While Base 64 encoding is useful, it’s not perfect. There are a few limitations you should be aware of:

  1. Not Secure: As mentioned earlier, Base 64 is not encryption. If you need to protect sensitive information, you’ll need to pair Base 64 with actual encryption.
  2. Increased Size: Base 64 encoded data is roughly 33% larger than the original binary data. This can be a drawback if you’re dealing with very large files or lots of data.
  3. Overhead in Processing: Encoding and decoding data take time and resources. In most cases, this is negligible, but in high-performance systems, it’s something to keep in mind.

Conclusion

Base 64 encoding is one of those handy tools you’ll come across often when working with web technologies. It helps convert binary data into a safe, readable format that can travel across systems without issues. 

Just remember, it’s not encryption, so it won’t keep your data secure on its own. And while it’s a great solution for handling binary data, keep an eye on the size of your encoded data if you’re working with large files.

FAQ

What is the best use case for Base64 encoding in web development?

Use Base64 when you must move binary through text-only pipes. Good fits are small images in data URIs, email attachments, tokens, and putting tiny blobs in JSON or localStorage. A base 64 encoder lets you turn bytes into safe text. It is not ideal for large files because Base64 adds about 33 percent size. For a quick base64 example, try a 1×1 PNG.

Is Base64 encoding safe for storing passwords or sensitive data?

Base64 is not encryption. Anything that is base64 encoded can be turned back into the original bytes in seconds. Do not store passwords with it. Use a password hash with salt and a modern KDF like bcrypt, scrypt, or Argon2. For sensitive data, encrypt it and then, if needed, encode base 64 only for transport or storage.

How does Base64 compare to Base64URL?

Both represent the same bytes, but they choose different characters. Standard Base64 uses plus and slash, and often adds padding with equals. Base64URL uses hyphen and underscore, and many systems drop padding. Base64URL survives inside URLs, filenames, and cookies without escaping. Converting is simple. Swap the characters, remove padding if your library expects that, and decode.

What programming languages support native Base64 encoding functions?

Most mainstream languages include Base64 in the standard library or a built-in web API. JavaScript has btoa and atob in browsers and Buffer in Node.js. Python has the base64 module. Java has java.util.Base64. Go has encoding/base64. PHP, Ruby, C Sharp, and Swift all ship Base64 helpers. You rarely need a third party package.

Can Base64 encoding be used in JSON or HTTP headers?

Yes. JSON strings can hold Base64 safely, which helps when you b64 encode small binary blobs for APIs or localStorage. HTTP headers are ASCII friendly, so Base64 fits there too. Common example is Authorization Basic. Keep sizes reasonable because headers have limits. When debugging, you can decode base64 online to confirm what your system is sending.

Published on:
August 19, 2025
IBC -  Mid banner

Related Glossary

See All Terms
IBC - Side Banner
This is some text inside of a div block.