Kutafsiriwa kwa huru kwa Kijapani
Trekta ya habari ya Kijapani na video kwa kutumia maandishi ya AI.
Jinsi Inavyofanya Kazi
- Nenda Kwenye Free.ai Transcriber
- Pakua kanda yako ya Kijapani au faili ya video
- AI yetu hutambua kwa njia ya moja kwa moja Kijapani na kuinakili
- Pakua nakala zako zikiwa maandishi au maandishi madogo - madogo ya SRT
Sehemu Zenye Kubadilishana za Kijapani
- ✓Uwezo wa BARUA0 (MIT)
- ✓Ugunduzi wa lugha ya Automatic Kijapani
- ✓Waunga mkono wabunge3, WAV, MP4, M4A, FARAC, na wengine wengi
- ✓Vipanga vya kusafiri nje ya nchi na sehemu ndogo za nchi hiyo (SRT)
- ✓Hakuna sheria za ukubwa wa faili juu ya mipango ya malipo
- ✓Mafaili ya kibinafsi na salama; faili hufutwa baada ya kukaguliwa
Maelezo ya Lugha
| Lugha | Kijapani |
| MELEKEO | ja |
| Gari la Kuigwa | KUBUMISHA |
| Bei | Huru |
Lugha Zaidi
Ona Lugha ZoteFAQ
Whisper large-v3-turbo lands in its top accuracy tier on Kijapani — under 7% word error rate on standard benchmarks. In practice that means clean studio audio comes back near-perfect, and conversational audio is usable with minimal cleanup.(Tier A, under 7% word error rate kwenye safu za kuwekewa alama - tunachapisha safu za WER zilizonyooka badala ya madai ya mauzo.)
Yes - Kijapani transcription draws from your daily free token pool first. Audio costs about 50 tokens per minute, so the anonymous daily pool covers a few hours of audio per day. Signed-in accounts get a larger 30,000-token daily pool. Past that, transcription is pay-as-you-go, with token top-ups from $1.
Kijapani transcripts are returned in native script (UTF-8). Kijapani text has no spaces between words natively; diarization timestamps add natural breaks at speaker turns.
MP3, WAV, M4A, FLAC, OGG, OPUS, and WEBM are accepted directly. For video (MP4, MOV, MKV) we extract the audio track server-side before sending it to Whisper - you do not need to convert anything yourself. Same pipeline regardless of source language, including Kijapani.
Anonymous uploads cap at roughly 500 MB per file. Signed-in accounts go up to 2 GB. Duration is not a hard limit - long files are chunked automatically (30-second windows with overlap) and stitched back into a single transcript with continuous timestamps. Multi-hour Kijapani recordings (podcasts, full lectures, meetings) work fine.
Naam - msemaji diarifition inaendelea kwa kutolipa gharama ya kila nakala ya Kijapani. Utoaji unadaiwa kuwa Mnenaji 1 / Spika 2 / Spika 3 kwa kutumia vipamwi, kwa hiyo mahojiano, majadiliano ya jopo, na mikutano ya sehemu nyingi inarudi ikiwa na alama ya utambulisho.
Yes - paste the URL into /transcribe/youtube/ for YouTube or /transcribe/podcast/ for podcast feeds (Apple, Spotify, RSS). We download the audio, run it through Whisper with language=ja, and return the transcript with timestamps and speaker labels. Typical Kijapani content: Picha, mihadhara, mahojiano, na maudhui ya muda mrefu ya YouTube katika Kijapani ndiyo mafurushi ya kawaida zaidi ya kazi tunayoona.
Whisper costs about 50 tokens per minute of audio, so a one-hour recording is ~3,000 tokens. Most users never spend anything - the free daily pool of 30,000 tokens covers short clips, voice notes, and one-off podcasts. Beyond it, transcription is pay-as-you-go, with token top-ups from $1.
Yes - both segment-level (every ~10-30 seconds) and word-level timestamps are available. Word-level is the default for VTT/SRT subtitle export so the captions sync line-by-line. On the API set timestamps="word" in the request body. Kijapani transcripts are returned in native script (UTF-8). Kijapani text has no spaces between words natively; diarization timestamps add natural breaks at speaker turns.
Yes. POST audio (multipart/form-data, field name "file") to /v1/transcribe/ with language=ja - or omit the language parameter to let Whisper auto-detect. Returns JSON with the transcript, segments, timestamps, and speaker labels. Full reference and SDK snippets at /api/.
Yes - once transcription finishes, click Translate or paste the text into /translate/. Kijapani pairs with every other language we support (200+). For meeting minutes pipe the transcript through /summarize/; for dubbing send it to /voice/tts/ to render audio in the target language.
Imesemekana kwamba Whisper inaendeshwa kwa muda wa saa 680 K ya sauti halisi ya ulimwengu, kwa hiyo Kijapani ina nguvu za kelele, vitanda vya muziki, na rekodi za simu. If a transcript comes back unusable, email contact@free.ai with the file - we will refund the tokens and look at whether a different engine handles your audio better.