I-i-English yokudlulisa
Bhala i-English umsindo nevidiyo ube ngumbhalo nge-AI. Ishesha, ilungile, futhi imahhala.
Indlela esebenza ngayo
- Iya ku- Umshicileli we-Free.ai
- Layisha phezulu ihele lakho le-i-English lomsindo noma levidiyo
- I-AI yethu ithola ngokuzenzakalela i-i-English futhi ibhalela
- Layisha ngezansi incwadi yakho njengesihloko noma isizinda se-SRT
i-English Izici zokudlulisa
- ✓Isebenza nge faster-whisper (ilayisense le-MIT)
- ✓Ukuthola ulwimi i-English ngokuzenzakalela
- ✓Isekela i-MP3, i-WAV, i-MP4, i-M4A, i-FLAC, nezinye
- ✓Ama-timestamps kanye ne-subtitle export (SRT)
- ✓Akukho kuphikiswa kwesayizi yefayela kuma-plans akhokhelwayo
- ✓Imfihlo nokuphepha -- amafayela asuswa ngemuva kokusebenza
Iminingwane yesilimi
| Ilimi | i-English |
| Ikhodi ISO | en |
| Imodeli AI | faster-whisper |
| Intengo | Ikhululekile |
Izilimi Eziningi
Bona zonke izilimiImibuzo ebuzwa kaningi
I-Whisper large-v3-turbo iwela engxenyeni ephezulu yezinga lokunemba ku-i-English — ngaphansi kwe-7% yezinga lephutha legama ku-benchmarks ejwayelekile. Emisebenzini, lokhu kusho ukuthi umsindo westudio ohlanzekile ubuyela emuva ogcwele, futhi umsindo wokuxoxa ungasetshenziswa ngokulungisa okuncane.(I-Tier A, under 7% word error rate kusethingi se-benchmark — sishicilela ama-tiers we-WER athembekile ngaphezu kokuphikisana nokumaketha.)
Yebo — i-English ukudluliswa kuqala kuvela ku-token pool yakho yansuku zonke. Umsindo ubiza ama-token angama-50 ngomzuzu, ngakho-ke i-token pool engaziwayo ihlanganisa amahora ambalwa we-audio ngosuku. Ama-akhawunti abhalisiwe athola u-token pool omkhulu wama-30,000 ngosuku. Ngaphakathi, ukudluliswa kwenziwa ngemali-njengoba-uhamba, nge-token top-ups kusuka ku-$1.
Ukudluliswa kwesiNgisi kuhlanganisa i-US, i-UK, i-Australia, i-India, nezinye izilimi eziyinhloko kwimodeli eyodwa. I-Whisper yaqeqeshwa kuzo zonke futhi ukudluliswa kuvela ngesiNgisi esijwayelekile sokubhala ngaphandle kokukhathazeka ngolimi lomsindo.
MP3, WAV, M4A, FLAC, OGG, OPUS, ne WEBM zivunyelwe ngokuqondile. Ngevidiyo (MP4, MOV, MKV) sikhipha umsindo we-server-side ngaphambi kokuthunyelwa ku-Whisper — awudingi ukushintsha noma yini ngokwakho. Ipayipi elifanayo ngaphandle komthombo we-language, kufaka phakathi i-i-English.
Ukufaka okungenagama kufinyelela kuma-500 MB ngefayela ngalinye. Ama-akhawunti abhalisiwe afinyelela ku-2 GB. Ukuphela kwesikhathi akuyona umkhawulo onzima - amafayela ade ahlukaniswa ngokuzenzakalela (amafasitela emizuzu engu-30 ahlukaniswe) futhi aphinde ahlukaniswe ibe yi-transcript eyodwa nesikhathi esiqhubekayo. Ukurekhodwa kwehora eliningi i-English (amapodcasts, izifundo ezigcwele, izinhlanganiso) kusebenza kahle.
Yebo — ukudweba umsindo komsindo kusetshenzisiwe ngokuzenzakalela kuwo wonke ama-i-English transcript. I-output ihlukaniswe njenge-Speaker 1 / Speaker 2 / Speaker 3 nge-timestamps, ngakho-ke izingqungquthela, izingqungquthela zepaneli, nezingqungquthela zeqembu eliningi zibuyela emuva zinikezwe i-label. Ukudweba umsindo kusebenza ngemodeli ehlukile futhi kusebenza ngokufanayo kuwo wonke ama-languages esiwaxhasayo.
Yebo — chofoza i-URL ku /transcribe/youtube/ ye-YouTube noma /transcribe/podcast/ ye-podcast feeds (Apple, Spotify, RSS). Silanda umsindo, siwuqhube nge-Whisper nge-language=en, futhi sibuyisele i-transcript nge-timestamps ne-speaker labels. I-i-English ejwayelekile: izifundo, izingqungquthela, izimemo zomsindo, kanye ne-YouTube i-English zonke zisebenza — chofoza i-URL /transcribe/youtube/ noma ulayishe ifayela ngqo.
Whisper ibiza ama-token angama-50 ngomzuzu wokudlalwa kwesandi, ngakho-ke ukurekhoda kwehora elilodwa kubiza ama-token angama-~3,000. Abaningi abasebenzisayo abasebenzisi lutho — i-pool yamahhala yansuku zonke yama-token angama-30,000 ifaka ama-clip ancane, ama-notes omsindo, nama-podcasts afanayo. Ngaphesheya kwayo, ukudluliswa kwenziwa ngemali-njengoba-uhamba, nge-token top-ups kusuka ku-$1.
Yebo — zombili isigaba-sezinga (noma yikuphi ~10-30 imizuzwana) kanye negama-level timestamps zikhona. Igama-level yiphutha le-VTT/SRT subtitle export ngakho ama-captions asynchronize line-by-line. Kwi-API hlela timestamps="word" kwi-body yesicelo. i-English izixhumanisi zibuyiselwa ku UTF-8 ejwayelekile nge-ortography ejwayelekile yesilimi.
Yebo. POST umsindo (ingxenye/ifomu-data, igama lendawo "ihele") ku /v1/transcribe/ nge lingu=en — noma ushiye i parameter yesilimi ukuze i Whisper ikwazi ukukhomba ngokuzenzakalela. Ibuyisela i JSON nge lingu, amasegmenti, ama-timestamps, nama-speaker labels. Umbiko ophelele kanye ne-SDK snippets ku /api/.
Yebo — uma ukuguqulelwa kuqediwe, chofoza guqula noma chofoza umbhalo ku /guqula/. i-English ixhumana nanoma iyiphi enye ulwimi esixhasayo (200+). Usuku lwengxoxo lidlulisa ukuguqulelwa /summarize/; ukuguqulelwa lithunyelwe ku /voice/tts/ ukuze kunikezwe umsindo kulimi oluzosetshenziswa.
I-Whisper iqeqeshwe ngehora le-680K le-audio yezwe elingokoqobo, ngakho-ke i-i-English transcription inamandla kakhulu ku-background noise, music beds, ne-phone-quality recordings. Ukucisha okunzima noma izikhulumi ezingaphezu kwezingu-100 zizoqhubeka nokulimaza ukuthembeka.Uma i-transcript ibuyela ingasebenzi, thumela i-imeyili ku contact@free.ai ngefayela — sizobuyisela imali ye-token futhi sibheke ukuthi ngabe i-engine eyahlukileyo iphatha umsindo wakho kahle.