Binary to Text Converter

The Binary to Text converter reads a stream of bits and reconstructs the original text by grouping bits into bytes and decoding them under UTF-8 rules. Bits are the lowest-level representation of data, and this tool bridges the gap between raw binary traces and human-readable strings. It strips out any non-bit characters, assembles eight-bit groups, converts those to bytes, and then decodes the byte array into Unicode characters.

This process is essential for debugging bit-level protocols, recovering strings from binary dumps, and teaching students how text encoding works at the bit level. Whether you have continuous bitstreams, space-delimited bytes, or newline-separated chunks, this converter adapts to your format and provides clear error handling for misaligned or malformed input.

Each byte consists of eight bits; UTF-8 uses one to four bytes per character. After sanitizing the input, the converter groups bits into bytes, converts each group to a numerical 0–255 value, and applies standard UTF-8 decoding to produce a Unicode string. Invalid or incomplete byte groups can either trigger an error or be padded/discarded based on configuration.

Strict mode halts on any irregular bit group, while lenient mode pads incomplete bytes with zeros or skips them, inserting the Unicode replacement character (�) for unrecognized sequences.

Input must consist only of '0' and '1' characters. Bits can be separated by spaces, tabs, or newlines, but these are stripped before processing. Continuous bitstreams without separators are also supported if the total length is divisible by eight or padding mode is active.

The result is a Unicode string. Control characters (LF, CR, TAB) are preserved. In lenient mode, invalid or incomplete bytes yield the replacement character; in strict mode, the converter reports an error.

1. **Sanitize**: Remove all non-bit characters. 2. **Group**: Split into 8-bit segments. 3. **Convert**: Parse each segment as a byte (0–255). 4. **Decode**: Apply UTF-8 decoding to the byte array. 5. **Return**: Output the decoded Unicode string.

Reverse-engineering data formats, analyzing packet captures, and working with hardware register dumps all rely on converting raw binary into text. Protocol engineers decode payloads to validate message structures; security researchers extract hidden ASCII from malware samples; educators demonstrate the fundamentals of encoding by mapping bit patterns to characters.

Hobbyist electronics projects often transmit sensor data or status messages in binary form. This converter lets you quickly view those messages as text for logging, monitoring, and debugging without custom firmware.

Loading large bitstreams into memory can be resource-intensive. For inputs exceeding a few megabytes, consider processing in chunks. The algorithm runs in linear time relative to input length and is bounded by JavaScript’s string and array performance.

Ensure proper input length validation and bounds checking to prevent denial-of-service via excessively long bitstreams. Sanitize input to avoid injection attacks if decoded text is later embedded in HTML or SQL contexts.

`01001000 01100101 01101100 01101100 01101111` → `Hello`