Trascrivi audio e video in giapponese in testo

When the audio says 'kiku,' the AI determines whether to write 聞く (listen), 菊 (chrysanthemum), or 効く (take effect) based on the surrounding sentence. This is the core challenge of Japanese transcription — the same sound maps to dozens of possible characters — and Vocova resolves it through contextual analysis rather than defaulting to the most common option.

Japanese honorific speech doesn't just add a prefix — it transforms verbs entirely. する becomes なさる (respectful) or いたす (humble). 行く becomes いらっしゃる or 参る. The AI tracks the formality register of each speaker and outputs the correct morphological form, so business recordings read with the appropriate level of politeness intact.

Particles like よ (assertion), ね (seeking agreement), な (self-reflection), and かな (wondering) appear at the end of Japanese sentences and carry meaning that changes interpretation. The AI captures these rather than dropping them, which is critical for interview transcripts, dialogue, and any content where speaker attitude matters.

Japanese pitch accent distinguishes words that are otherwise identical in writing: 雨 (rain, pitch pattern A) vs 飴 (candy, pitch pattern B), 箸 (chopsticks) vs 橋 (bridge). While standard transcription engines often ignore pitch accent entirely, Vocova uses acoustic and contextual cues together to pick the intended word.

Native Japanese text freely mixes kanji (漢字), hiragana (ひらがな), and katakana (カタカナ) within a single sentence. Foreign loanwords should be in katakana, grammatical particles in hiragana, and content words in their conventional kanji-or-kana form. The AI reproduces this natural mixing pattern rather than outputting everything in one script.