Phonetic to Native Alphabet Text Converter

Transliteration errors corrupt data. A single mismatched phonetic rule turns sh into two separate characters instead of one ш, producing gibberish that search engines cannot index and native readers cannot parse. This converter implements greedy longest-match algorithms across 12 writing systems, processing digraphs and trigraphs (like shch → щ) before falling back to single-character maps. Hebrew output includes full nikud vowel pointing using Unicode combining marks in the range U+05B0 - U+05BB. Korean output composes Jamo elements into precomposed Hangul syllable blocks via the standard formula offset at U+AC00.

The tool assumes ISO-9 and BGN/PCGN romanization conventions where applicable, but phonetic input is inherently lossy. Ambiguous sequences default to the most statistically frequent mapping. For example, Russian е vs э cannot always be distinguished from Latin e alone. Pro tip: use the apostrophe character to insert a soft sign (ь) in Russian, and double-apostrophe for hard sign (ъ). Conversion is real-time and runs entirely in your browser. No data is transmitted to any server.

The converter uses a greedy longest-match algorithm. For an input string S of length n, the algorithm scans from position i = 0 and attempts to match substrings of decreasing length against the mapping table M:

Korean Hangul syllable composition follows the Unicode standard formula:

Where onset is the initial consonant index (0 - 18), nucleus is the vowel index (0 - 20), and coda is the final consonant index (0 - 27, where 0 means no coda). The algorithm time complexity is O(n ⋅ m) where m is the maximum digraph length (typically 4), making it effectively linear.