Kutafsiriwa kwa huru kwa Kifaransa

Trekta ya habari ya Kifaransa na video kwa kutumia maandishi ya AI.

Jinsi Inavyofanya Kazi

  1. Nenda Kwenye Free.ai Transcriber
  2. Pakua kanda yako ya Kifaransa au faili ya video
  3. AI yetu hutambua kwa njia ya moja kwa moja Kifaransa na kuinakili
  4. Pakua nakala zako zikiwa maandishi au maandishi madogo - madogo ya SRT

Sehemu Zenye Kubadilishana za Kifaransa

  • ✓Uwezo wa BARUA0 (MIT)
  • ✓Ugunduzi wa lugha ya Automatic Kifaransa
  • ✓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

LughaKifaransa
MELEKEOfr
Gari la KuigwaKUBUMISHA
BeiHuru

Lugha Zaidi

Ona Lugha Zote

FAQ

Whisper large-v3-turbo lands in its top accuracy tier on Kifaransa — 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 - Kifaransa 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.

Wafaransa wa kawaida katika Ufaransa, Quebec (Kanada), Ubelgiji, na Ufaransa kwa namna moja. Wafaransa wa Quebec wenye chupi kubwa watayaona makosa ya badala kidogo kuliko sauti za Paris lakini hubaki katika safu ileile sahihi.

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 Kifaransa.

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 Kifaransa recordings (podcasts, full lectures, meetings) work fine.

Naam - msemaji diarifition inaendelea kwa kutolipa gharama ya kila nakala ya Kifaransa. 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=fr, and return the transcript with timestamps and speaker labels. Typical Kifaransa content: Picha, mihadhara, mahojiano, na maudhui ya muda mrefu ya YouTube katika Kifaransa 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. Picha za Kifaransa hurudishwa kwa kiwango cha kawaida cha UTF-8 kwa kutumia tethography ya kawaida ya lugha hiyo.

Yes. POST audio (multipart/form-data, field name "file") to /v1/transcribe/ with language=fr - 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/. Kifaransa 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 Kifaransa 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.

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