I-isi-Hindi yokudlulisa
Bhala isi-Hindi umsindo nevidiyo ube ngumbhalo nge-AI. Ishesha, ilungile, futhi imahhala.
Indlela isebenza ngayo
- Iya ku- Umshicileli we-Free.ai
- Layisha phezulu ihele lakho le-isi-Hindi lomsindo noma levidiyo
- I-AI yethu ithola ngokuzenzakalela i-isi-Hindi futhi ibhalela
- Layisha phezulu isingeniso sakho njengesihloko noma isingeniso se-SRT
isi-Hindi Izici zokudlulisa
- ✓Isebenza nge-faster-whisper (MIT licensed)
- ✓Ukuthola ulwimi isi-Hindi ngokuzenzakalela
- ✓Insiza MP3, WAV, MP4, M4A, FLAC, nezinye eziningi
- ✓Isikhathi sokufaka kanye nokukhishwa kwesihloko esingezansi (SRT)
- ✓Akukho mkhawulo wobukhulu befayela kuma-plans akhokhelwayo
- ✓Imfihlo nokuphepha -- amafayela asuswa ngemuva kokusebenza
Iminingwane yesilimi
| I-Language | isi-Hindi |
| Ikhowudi ye-ISO | hi |
| Imodeli ye-AI | i-faster-whisper |
| Intengo | Ikhululekile |
Izilimi Eziningi
Bona zonke izilimiImibuzo ebuzwa kaningi
Whisper large-v3-turbo iphatha isi-Hindi ngokuqinile — 7-15% isilinganiso sephutha legama ku-benchmark audio. Lindela ukushintshwa okuthile kwezinhlamvu ezibizwa ngegama, ama-amanani, kanye ne-glossary eqinile yezobuchwepheshe; i-bulk ye-transcript izolungile.(I-Tier B, 7-15% word error rate kusethingi se-benchmark — sishicilela ama-tiers we-WER athembekile ngaphezu kokuphikisana nokumaketha.)
Yebo — isi-Hindi ukudluliswa kuqala kusuka ku-token pool yakho yamahhala yansuku zonke. Umsindo ubiza ama-token angama-50 ngomzuzu, ngakho-ke i-pool yansuku zonke engaziwa ifaka amahora ambalwa we-audio ngosuku. Ama-akhawunti abhalisiwe athola i-pool enkulu kanye nama-token angama-10,000 wokubhalisa. Phakathi kwalokhu, i-$1 ithenga ama-token angama-750,000 (amahora angama-250 e-audio).
I-Hindu audio ivame ukuxhuma ne-English (Hinglish) emfushane. I-Whisper iphatha ukuxhuma futhi ibhale amagama e-English ngesiLatini kanye nama-Hindi amagama e-Devanagari ngaphakathi kwe-transcript efanayo. Umsindo wasendle onesichazamazwi esinzima sendawo angaba nezinga-C lokunemba.
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-isi-Hindi.
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 isi-Hindi (amapodcasts, izifundo ezigcwele, izinhlanganiso) kusebenza kahle.
Yebo — ukudweba umsindo komsindo kusetshenzisiwe ngokuzenzakalela kuwo wonke ama-isi-Hindi 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=hi, futhi sibuyisele i-transcript nge-timestamps ne-speaker labels. I-isi-Hindi ejwayelekile: I-WhatsApp voice notes, i-YouTube vlogs, nevidiyo encane yizinto ezivame kakhulu isi-Hindi workloads — chofoza i-URL ku /transcribe/youtube/ noma ulayishe umsindo ngqo.
I-Whisper ibiza cishe ama-token angama-50 ngomzuzu we-audio, ngakho-ke ukurekhodwa kwehora elinye kubiza ama-token angama-3,000. I-$1 ithenga ama-token angama-750,000, okusebenza cishe amahora angama-250 we-audio ngedola. Abaningi abasebenzisayo abachithanga lutho — i-pool yamahhala yosuku lonke ifaka ama-clip aphansi, ama-notes omsindo, nama-podcasts afanayo.
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. isi-Hindi izibhalo zibuyiselwa ngesikripthi seDevanagari (UTF-8).
Yebo. POST umsindo (ingxenye/ifomu-data, igama lendawo "ihele") ku /v1/transcribe/ nge lingu=hi — 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/. isi-Hindi ixhumana nanoma iyiphi enye ulwimi esixhasayo (200+). Usuku lwengxoxo lidlulisa ukuguqulelwa /summarize/; ukuguqulelwa lithunyelwe ku /voice/tts/ ukuze kunikezwe umsindo kulimi oluzosetshenziswa.
I-Whisper iqeqeshwa ngamahora angama-100,000 we-audio yezwe langempela, ngakho-ke ithobela umsindo wesizinda kanye ne-phone-quality recordings ku-isi-Hindi. Ukuthola izimpendulo ezinhle, nikeza umsindo ohlanzekile (i-headset mic, akukho mbhede womculo) — kulolu hlobo lomsindo uhlanganisa isilinganiso sephutha le-baseline.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.