Free Japanese Speech-to-Text
Upload your Japanese audio or video and get an accurate, editable transcript in minutes — automatic, browser-based and free to start.
Japanese is spoken by around 125 million people, almost all of them in Japan, and it powers one of the world's largest media, business and research economies. Interviews, lectures, meetings and video content in Japanese are recorded constantly and often need to become searchable text.
ConvertSpeech transcribes them automatically. Upload your audio or video and our speech-recognition engine writes out the spoken Japanese in kanji, hiragana and katakana as appropriate, ready to copy into a document, subtitle file or translation tool. It runs in your browser, needs no installation, and your first minutes are free with no account required.
Para qué se transcribe Japanese
Business and meetings
Keep written minutes of Japanese meetings and calls so decisions and action points are captured.
Media and creators
Generate Japanese subtitles and show notes straight from your video or podcast audio.
Researchers and students
Convert Japanese lectures and interviews into searchable text you can quote and study from.
How ConvertSpeech handles spoken Japanese
Written Japanese has no spaces between words and mixes three scripts, and spoken Japanese carries a pitch accent that the standard Tokyo dialect (hyōjungo) uses as its reference. ConvertSpeech is tuned for standard Japanese and produces natural, correctly segmented text from clear recordings.
Regional dialects such as Kansai-ben around Osaka and Kyoto differ in intonation and some vocabulary. Clear speech in standard Japanese transcribes most reliably; strongly dialectal audio is harder for any automatic system. Politeness levels (keigo) and casual speech are both handled as spoken.
Tips for accurate Japanese transcription
- Record with a good microphone and minimal background noise for the best accuracy.
- Keep the language set to Japanese rather than auto-detect when you know the recording is Japanese.
- One speaker at a time transcribes best; overlapping speech reduces accuracy.
- For interviews, enable speaker detection (a free registered feature) to label each speaker.