Dit model leest platte tekst, dus inline tags worden genegeerd. Voor emotie op basis van tags, schakel naar een expressief model zoals Orpheus of Bark.
Natuurlijke taal levering cues. Geëerd door Qwen3-TTS vandaag; andere expressieve modellen komen binnenkort.
Dit model ondersteunt geen stijlaanwijzingen om te schakelen naar een model dat dat wel doet (bijv. Qwen3-TTS).
Dit is een premium stemmodel, beschikbaar op elk betaald plan. U kunt nog steeds een voorbeeld van zijn stemmen gratis met de afspeelknop naast de stem kiesmachine.
Japanese text-to-speech is governed by pitch accent rather than stress: each word has a fixed high-low pitch pattern, and getting it wrong makes a voice sound foreign even when every syllable is correct — for instance "hashi" can mean bridge or chopsticks depending on the accent. The writing system mixes Kanji, Hiragana and Katakana with no spaces, so the engine must segment text and pick the right reading for Kanji that have several (端 vs 橋 vs 箸). Standard (Tokyo) accent is the default for most synthesis, while regional varieties such as Kansai have a different pitch pattern entirely.
Monster — 日本語
“今日はとても良い天気なので、みんなで公園へ散歩に出かけて、美味しいお弁当を食べましょう。”
Inheemse naam
日本語
Sprekers
about 125 million speakers, almost entirely in Japan
Taalfamilie
Japonic (generally treated as a language isolate at family level)
Script
Mixed Kanji, Hiragana and Katakana
Gesproken in
Japan, with small communities in Brazil, Hawaii and immigrant populations
Wat mensen gebruiken Japanese tekst naar toespraak voor
Anime, VTuber and game character dubbing
Train, subway and station announcements
E-learning and JLPT study narration
Audiobook and light-novel narration
Customer-service and navigation voice prompts
Japanese Tekst naar Speech Veelgestelde vragen
The engine predicts each word's high-low pitch pattern in context, which is what distinguishes pairs like 橋 (hashi, bridge) from 箸 (hashi, chopsticks) and makes the voice sound natural.
Yes. It segments unspaced Japanese text, converts Kanji to the correct reading and handles Katakana loanwords and Hiragana grammar together.
Mostly yes. Readings such as 生 (sei, nama, i-) or names are chosen from context, though uncommon proper nouns can occasionally be ambiguous.
Voices use Standard (Tokyo) pitch accent, which is the norm for narration, announcements and most media; full Kansai-accent synthesis is a different dialect pattern.
