Text to Binary

The Text to Binary tool converts any text — words, sentences, messages, identifiers — into its binary representation. Each character becomes an 8-bit byte (for ASCII) or a multi-byte sequence (for UTF-8 Unicode). Type \"Hello\" and get back 01001000 01100101 01101100 01101100 01101111 (the binary for H, e, l, l, o). Use it for educational purposes, puzzle construction, protocol-level debugging, or converting text for systems that process raw bits.

The tool handles both ASCII (7-bit, English-only) and UTF-8 (1-4 bytes per character, full Unicode) encoding. Output formatting is customizable: spaces between bytes (default, most readable), dashes, commas, or continuous without separators. Each byte is always 8 bits with leading zeros preserved for alignment. For multi-byte UTF-8 characters (emoji, accented letters, Asian scripts), the tool shows the full multi-byte sequence with optional character-level grouping markers. Reverse conversion (binary to text) is available via the companion Binary to Text tool. Everything runs client-side so even unusual text you don\\u2019t want anyone else to see stays in your browser.

Text-to-binary encoding process:

1. Convert text to a byte sequence using the chosen encoding:
- ASCII: each character\u2019s charCode is 0-127, directly one byte
- UTF-8: characters map to 1-4 byte sequences via standard algorithm
2. For each byte, format as 8-bit binary with leading zeros (\"A\" → 01000001, not 1000001)
3. Join bytes with the chosen separator (space by default)

JavaScript implementation: use TextEncoder for proper UTF-8: new TextEncoder().encode(text) returns Uint8Array of bytes. Then byte.toString(2).padStart(8, \"0\") gives zero-padded binary.

For ASCII-only: charCodeAt(i) works directly for characters with codes 0-127. For codes above 127 (accented, emoji), TextEncoder is required for correct UTF-8 multi-byte output.

Character count vs byte count: one character doesn\u2019t equal one byte in UTF-8. \"é\" is one character but two bytes (11000011 10101001). \"😀\" is one character (or one grapheme) but four bytes. The tool reports both counts.

Grouping: for human readability, the tool offers per-character grouping where each character\u2019s multi-byte sequence is grouped together (e.g., \"é = 11000011 10101001\"), in addition to per-byte separators.

Common text sizes:
- Short phrase (\"Hello world\"): ~88 bits, 11 bytes
- Sentence: ~80-160 bytes
- Paragraph (200 characters): ~1600 bits, 200 bytes
- Article: several KB of binary output

Performance: conversion is O(n) and extremely fast. Multi-megabyte text converts in milliseconds.

ASCII vs Unicode: for English text, ASCII and UTF-8 produce identical output (every character is one byte). For any non-English content, UTF-8 is required for correctness.

Compared to a Python one-liner (\"\".join(format(b, \"08b\") for b in text.encode())), this tool is faster for one-off conversions and visualizes the character-to-byte mapping clearly. For automation, use the language built-in.

Compared to other online text-to-binary tools, this one properly handles UTF-8 multi-byte characters (many assume ASCII only) and provides configurable output formatting.

Compared to command-line xxd or od utilities, this tool produces pure binary output (8 bits per byte) rather than hex. Use xxd for general hexdump; use this for specifically binary text encoding.