Izinsizakalo zokudlulisa ze-AI
Guqula amagama abe amagama ngempumelelo ehamba phambili. Gcwalisa izinhlanganiso, izingqungquthela, izifundo, amapodcast, ukucwaswa kwezokwelapha, kanye nezivumelwano zomthetho ngeelwimi ezingu-99. Isebenza ngeFaster Whisper (4x ishesha kune-OpenAI Whisper) ne SenseVoice ne-emotion detection.
Zama ukudlulisa
Thwebula bese ushiya ihele lakho lapha, noma bheka
MP3, WAV, FLAC, OGG, M4A, MP4. Max 50MB.file.mp3
0 MBUkudlulisa umsindo...
Izici zokuguqulela
Iqiniso, isheshayo, nengabizi kakhulu ukuxoxa-ku-umbhalo nganoma iyiphi imeko yokusetshenziswa
Insizakalo yesiNgisi
Ukubhala umsindo ngemilimi engu-99 nge Whisper ne Faster Whisper. Ukuhumusha kwesiNgisi kufakwe ukufinyelela komsebenzi ohlukene.
4x Ukuqhubekeka okukhawulezayo
I-Faster Whisper inikeza ukuthembeka okufanayo njenge-OpenAI Whisper ku-4x ijubane kanye nokusetshenziswa okuphansi kwememori.
Ama-timestamps nama-segments
Igama-level kanye nesigaba-level timestamps for precise reference. Export timestamp transcripts for video subtitle.
Ukuqapha kwemizwa
SenseVoice ithola izimo zomsindo, izimo zomsindo, nesimo kanye nokudluliswa kwedatha eminingi ye-metadata.
Uphawu lomsindo
Isikhulumi sichaza ukuthi ngubani okhuluma yini ezirekhodweni ezibambisana-ngu-abantu abaningi njengezinhlanganiso nezingqungquthela.
Ifomati eminingi yokungenisa
Rhweba ngaphandle njengembhalo ojwayelekile, izihloko ze-SRT, izihloko ze-VTT, noma i-JSON nge-metadata egcwele. Ilungele noma iyiphi i-platform.
Imodeli yokukhuluma-nokubhala
I-engine yokudlulisa ehamba phambili emakethe
Faster Whisper
4x faster than Whisper with CTranslate2 optimization, same accuracy.
Okungcono kakhulu: Okungcono kakhulu — 4x ngokushesha kunalokho Whisper, ngempela, kuvunyelwe ukusetshenziswa kwezinkinga eziningi
Zama Faster Whisper
Whisper
OpenAI's robust speech recognition model supporting 99 languages.
Okungcono kakhulu: Imodeli yokubhekisa ngo-OpenAI enamandla osizo lwesilimi se-99 kanye nokuhunyushwa
Zama Whisper
SenseVoice
Speech understanding model with emotion detection, 50+ languages.
Okungcono kakhulu: Ukuthola kwemizwa kanye nokuhlelwa kwengxoxo kanye nokudluliswa
Zama SenseVoiceIndlela yokudlulisa umsindo nge-AI
Layisha, bhala futhi uveze ngemizuzu
Layisha umsindo noma ividiyo
Layisha phezulu amafayela we-MP3, WAV, M4A, OGG, FLAC, noma wevidiyo angaba ngu-50MB. Isekela zonke ifomu ezivamile.
Khetha imodeli & ulwimi
Khetha i-Faster Whisper yejubane, i-Whisper yokuhumusha, noma i-SenseVoice yokukhomba inkulumo. Khetha ulwimi lomsuka.
_Thumela
Uhlelo luthatha imizuzwana kuya kumaminithi ngokuya ngobude befayela. Ukuhlaziywa kwempumelelo yesikhathi sangempela.
_Rhweba
Hlola isingeniso, hlela uma kudingeka, bese ukhipha njengobhalo, SRT, VTT, noma JSON ngesikhathi.
Ukuhumusha kwemisebenzi yonke
Umsebenzi owenziwe ngenhloso osebenza abachwepheshe
Izingxoxo zebhizinisi
Ukubhala kabusha i-Zoom, amaqembu, kanye ne-Google Meet recordings ngokuzenzakalela. Thola ama-notes engqungquthela afanele ngolwazi lomlobi, ama-timestamps, nama-action items. Uqhubekela phambili ukurekhodwa kusuka kunoma iyiphi i-platform yengqungquthela - ulayishe kuphela ifayela le-audio noma le-video.
- Ukuhlela umsindo wamazwi kunoma yimuphi umlayezo
- I-timestamp annotations for reference
- Iyaxhasa wonke amafomethi wokurekhoda inhlanganiso
- Uhlelo olukhulu lwezinhlamvu zomlando zezingqungquthela
Ukuxhumana
I-Faster Whisper iphatha izimo ezinomsindo nezikhulumi eziningi. Thola i-word-level timestamps ye-quotation attribution ne-fact-checking.
- Igama-level timestamps ukuchaza
- Ukuhunyushwa okuqinile kwe-noise
- Insizakalo yesiNgisi se-99 yezingxoxo zamazwe omhlaba
- Ukuhumusha ku-English kufakwe
Ukudluliswa kwemithi
Ukubhala kabusha ukubhala kwezokwelapha, ukuxoxisana kweziguli, kanye nama-notes eklinikhi. Amamodeli asekelwe e-Whisper aphatha amagama emithi ngokunembile okukhulu. Ukwenza ama-notes we-SOAP, izibuyekezo zokwelapha, kanye ne-narratives yezindaba zesifo sikashukela kusuka ku-voice recordings.
- Ukunakekelwa kwegama elisetshenziswa emithisini
- Uhlelo lwe-SOAP
- Ukuphathwa okuhlobene ne-HIPAA
- Umsebenzi wokuchaza-uku-mbhalo
Ukudluliswa kwemithetho
Ukubhala kabusha iziphakamiso, izivumelwano zenkantolo, izinhlanganiso zekhasimende, kanye nokubhaliwe kwemithetho. Thola izibhalo ezifanele ngezihloko zomsindo kanye nesikhathi sokushicilela i-case documentation. Amamodeli ethu aphatha amagama asemthethweni kanye nezindlela zolimi olusemthethweni.
- Izinhlamvu ezibhalwe ngegama lomlobi
- Ukunemba kwegama elisemthethweni
- Isikhathi esiphawulwe ukubhekisisa
- Uhlelo lokukhishwa kwe-bulk
Ucwaningo
Ukubhala izifundo, izingqungquthela, izingqungquthela zocwaningo, kanye namaqembu okugxila. Dala amafayela atholakali wezinto ezifundwayo. SenseVoice ifaka ukucabanga nokucabanga kokuhlola ucwaningo olusezingeni eliphakeme.
- Ukudluliswa kwencwadi kanye nesemini
- Ucwaningo lokuxoxwa
- Ukuqapha kwemizwa ye-qualitative research
- Isihloko esifundelwe ngezilimi eziningi
Izindaba & Izithameli
Dala izihloko ezingezansi nezihloko zevidiyo, bhala kabusha iziqephu zepodcast zokukhombisa amabhukwana, futhi yenza umbhalo otholakale kusuka kumagobolondo omsindo. Rhweba ngaphandle ku-SRT, VTT, noma ifomethi yombhalo ojwayelekile kunoma iyiphi i-platform.
- Ukungenisa izihloko ezingezansi ze-SRT/VTT
- I-podcast ibonisa ukukhishwa kwe-notes
- Ukufaka izihloko zevidiyo ku-YouTube/TikTok
- Ukudluliswa kwehele lomsindo
Ukuqhathaniswa kwenjini yokudlulisa
Khetha imodeli efanele izifiso zakho
| Imodeli | Isivinini | Izilimi | Izici ezikhethekile | Okungcono kakhulu |
|---|---|---|---|---|
| Faster Whisper | 4x Isheshayo | 99 | Ukuhlunga kwe-VAD, ukucutshungulwa kwe-batch | Izinhlobo eziningi zokusebenziseka (zikhuthazwa) |
| Whisper | Iphutha | 99 | Ukuhumusha ku-English, ama-timestamps | Umsebenzi wokuhumusha, ukunemba kokugxila |
| SenseVoice | Isheshayo | 50+ | Ukuthola kwemizwa, izimo zomsindo, ukuhlaziywa komsindo | Ucwaningo, ucwaningo lwezenzo |
Ukucaciswa nokusebenzela kokuguqulela
95%+
Ukunemba kwesiNgisi
99
Izilimi ezixhasiwe
4x
Faster Than Whisper
2hr
Ubude obuphezulu besandi
Ukudluliswa kwe-API
Ifaka ukudluliswa kwegama kuhlelo lwakho lokusebenza
import requests
with open("meeting_recording.mp3", "rb") as f:
response = requests.post("https://api.tts.ai/v1/stt", files={
"audio": f
}, data={
"model": "faster-whisper",
"language": "en",
"timestamps": "true"
}, headers={"Authorization": "Bearer YOUR_API_KEY"})
result = response.json()
print(result["text"]) # Full transcription
print(result["segments"]) # Timestamped segments
Imibuzo ebuzwa kaningi
Imibuzo ebuzwa kaningi mayelana nokuguqulela kwe-AI
Yini esingayithuthukisa? Umbono wakho usiza ukuxazulula izinkinga.
Ukulungele ukudlulisa?
Qala ukudlulisa mahhala. Izilimi ezingu-99, 95% + ukunemba, izimpendulo ngokushesha. Akukho khadi le-credit elidingekayo.