Japanese audio to text for study, research and work
People who need Japanese transcripts outside Japan include graduate students interviewing Japanese participants, translators who want a written source before they start, companies reviewing calls with Japanese clients or suppliers, and learners who record conversation practice and want to read it back. There are also creators adding Japanese subtitles to their own videos, and families keeping recordings of relatives.
Japanese is one of the languages the speech model handles well. Clear speech from a single speaker usually needs only light correction. You get paragraphs with timestamps, a player that highlights the current line, and an editor where you fix words in place.
How Japanese text appears in the transcript
The output is normal written Japanese: kanji, hiragana and katakana, with Japanese punctuation such as 、 and 。 added by the model. There are no spaces between words, as in ordinary Japanese text. Some details to check:
- Kanji choice for homophones. Japanese has many words that sound identical, and the model chooses the most likely kanji from context. Names of people and places are the most common errors because many names can be written several ways.
- Kana versus kanji. A word may appear in hiragana where you would write kanji, or the other way round. This is a style question more than a mistake, but you may want consistency for publication.
- Numbers. Amounts, dates and times can appear as Arabic digits or as kanji numerals. Pick one style and adjust.
- Loanwords come out in katakana, and English words said as English may stay in Latin letters. Brand names can go either way.
- There is no furigana or romaji output.
Speech styles, dialects and recording conditions
Standard Japanese as heard on the news or in a lecture transcribes best. Casual speech with dropped particles and contractions works too, but expect a few more edits. Regional speech such as Kansai or Tohoku dialect is harder, and the model may write dialect words in a more standard form, which matters if you are studying the dialect itself.
Politeness levels come through as spoken. If a speaker uses keigo, the transcript keeps the honorific and humble forms, and casual speech stays casual. That makes the transcript useful for language learners who want to see exactly which forms were used in a real conversation.
Fillers like ええと and あの are often left out of the transcript, which reads more cleanly but is not a verbatim record. If your research needs every hesitation, check against the audio.
Japanese conversation often has a lot of aizuchi, short listener responses like はい and そうですね spoken over the other person. Overlapping voices are hard for any speech model, so these may be dropped or merged. Speaker identification on paid plans or with a Minute Pack separates the voices into labelled turns.
Language setting and exports
This page preselects Japanese. Auto-detect usually recognises Japanese, but it can misjudge very short clips or a recording that starts with an English greeting. Setting the language avoids that, and you can change it per file in the upload box.
When you are done editing, export TXT or DOCX for reading and translation work, SRT or VTT for subtitles, or CSV for analysis. These keep every character. The direct PDF supports Western European characters only, so for Japanese the PDF option opens a print-ready page you save as PDF from your browser. For subtitles, Japanese lines can be long because there are no spaces to break on, so check the SRT in your video editor before publishing.
To read the content in English, use the Google Translate link on the transcript or the AI prompt export with ChatGPT or Claude, which also works well for a summary of a long lecture.