I-isi-Luxembourgish yokudlulisa
Bhala isi-Luxembourgish 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-Luxembourgish lomsindo noma levidiyo
- I-AI yethu ithola ngokuzenzakalela i-isi-Luxembourgish futhi ibhalela
- Layisha phezulu isingeniso sakho njengesihloko noma isingeniso se-SRT
isi-Luxembourgish Izici zokudlulisa
- ✓Isebenza nge-faster-whisper (MIT licensed)
- ✓Ukuthola ulwimi isi-Luxembourgish 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-Luxembourgish |
| Ikhowudi ye-ISO | lb |
| Imodeli ye-AI | i-faster-whisper |
| Intengo | Ikhululekile |
Izilimi Eziningi
Bona zonke izilimiImibuzo ebuzwa kaningi
isi-Luxembourgish iyisilimi esincane-somthombo se-Whisper — i-large-v3-turbo ihlala ngaphezu kwe-25% yezinga lephutha legama, ngamanye amaxesha liphezulu kakhulu. I-transcript isebenza ukukhangela nokwenza i-gist kodwa akufanele ithathwe njengeshicilelwa-kulungile. Uma i-engine esezingeni eliphakeme itholakala ku-isi-Luxembourgish siyibeka ngokuzenzakalela.(I-Tier D, over 25% word error rate kusethingi se-benchmark — sishicilela ama-tiers we-WER athembekile ngaphezu kokuphikisana nokumaketha.)
Yebo — isi-Luxembourgish 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).
isi-Luxembourgish izixhumanisi zibuyiselwa ku UTF-8 ejwayelekile nge-ortography ejwayelekile yesilimi.
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-Luxembourgish.
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-Luxembourgish (amapodcasts, izifundo ezigcwele, izinhlanganiso) kusebenza kahle.
Yebo — ukudweba umsindo komsindo kusetshenzisiwe ngokuzenzakalela kuwo wonke ama-isi-Luxembourgish 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=lb, futhi sibuyisele i-transcript nge-timestamps ne-speaker labels. I-isi-Luxembourgish ejwayelekile: izifundo, izingqungquthela, izimemo zomsindo, kanye ne-YouTube isi-Luxembourgish zonke zisebenza — chofoza i-URL /transcribe/youtube/ noma ulayishe ifayela 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-Luxembourgish izixhumanisi zibuyiselwa ku UTF-8 ejwayelekile nge-ortography ejwayelekile yesilimi.
Yebo. POST umsindo (ingxenye/ifomu-data, igama lendawo "ihele") ku /v1/transcribe/ nge lingu=lb — 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-Luxembourgish ixhumana nanoma iyiphi enye ulwimi esixhasayo (200+). Usuku lwengxoxo lidlulisa ukuguqulelwa /summarize/; ukuguqulelwa lithunyelwe ku /voice/tts/ ukuze kunikezwe umsindo kulimi oluzosetshenziswa.
Whisper's noise training helps less at this tier — the bottleneck is the amount of isi-Luxembourgish audio Whisper saw during training, not noise. Clean studio audio still beats noise audio, but neither will reach the accuracy you would get on a high-source language.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.