Base85 / Ascii85 Encoder Encode text to Base85 (Ascii85) format for compact binary-to-text encoding.

The base85 encoding process starts by using the TextEncoder API to convert input strings into bytes, which are then processed in chunks of four bytes at a time. Each chunk is treated as a 32-bit unsigned integer, with values ranging from 0 to 4294967295. This integer value is repeatedly divided by 85, and each remainder is used to generate the encoded characters. The remainders map to ASCII characters in the range 33-117, which includes all uppercase and lowercase letters, as well as some special characters.

In React, the useCallback hook is used to memoize the onProcess function, ensuring that it's only recreated when necessary. This optimization helps improve performance by reducing unnecessary re-renders of the TextToolLayout component. When encoding data, the tool uses a loop to process each chunk of four bytes, applying the base85 algorithm and appending the resulting characters to the output string. If a chunk contains all zeros, it's encoded as 'z', which is a shorthand representation that helps reduce the overall size of the encoded data.

The use of TypeScript in the implementation provides type safety and helps catch errors at compile-time, rather than runtime. The TextEncoder API, specifically, provides an efficient way to convert strings into bytes, which is necessary for the base85 encoding process. By using this API, the tool can ensure accurate results and handle edge cases correctly, such as partial final groups that need to be padded with zeros before encoding. Overall, the combination of React, TypeScript, and the TextEncoder API enables a efficient and reliable implementation of the base85 encoding algorithm.

The encoded data is formatted according to the standard Ascii85 specification, which requires the output string to start with '<~' and end with '~>'. This format helps ensure that the encoded data can be easily identified and processed by other systems or applications. By following this specification, the tool ensures compatibility with existing base85 implementations and enables seamless integration into various workflows or pipelines. The resulting encoded strings are compact and efficient, making them suitable for transmission over text-based channels, such as email or messaging protocols.