Ukudluliswa kwe-Free isi-Sundanese
Bhala umsindo isi-Sundanese kanye nevidiyo ibe ngumbhalo nge-AI. Ishesha, ilungile, futhi imahhala.
Indlela esebenza ngayo
- Iya ku- Umshicileli Free.ai
- Layisha phezulu ifayela lakho lomsindo noma levidiyo le-isi-Sundanese
- I-AI yethu ithola ngokuzenzakalela i-isi-Sundanese futhi ibhalela
- Layisha ngezansi incwadi yakho njengesihloko noma isizinda se-SRT
isi-Sundanese Izici zokudlulisa
- ✓Isebenza nge faster-whisper (ilayisense le-MIT)
- ✓Ukuqapha ulwimi oluzenzakalelayo isi-Sundanese
- ✓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 | isi-Sundanese |
| Ikhodi ISO | su |
| Imodeli AI | faster-whisper |
| Intengo | Ikhululekile |
Izilimi Eziningi
Bona zonke izilimiImibuzo ebuzwa kaningi
isi-Sundanese yimithombo encane yesilimi se Whisper - enkulu-v3-turbo ihlala ngaphezu kwe-25% yephutha legama, ngamanye amaxesha phezulu kakhulu. I-transcript isebenziseka ukukhangela ne-gist kodwa akufanele ithathwe njengeshicilelwa-kulungile. Uma i-engine ephakeme-yokunemba itholakala ku-isi-Sundanese siyixhuma ngokuzenzakalela.(Izinga D, over 25% word error rate kusethingi ze-benchmark - sishicilela izigaba ze-WER ezithembekile ngaphezu kokubhekwa kwe-marketing.)
Yebo - i-isi-Sundanese transcription iqala ngokudlulisa kusuka ku-token pool yakho yamahhala 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, ukudlulisa kukhokha-njengoku-u-ya-go, nge-token top-ups kusuka ku-$1.
isi-Sundanese izibhalo ezibhalwe phansi zibuyiselwa ku UTF-8 ejwayelekile nge-ortography ejwayelekile yesilimi.
MP3, WAV, M4A, FLAC, OGG, OPUS, ne WEBM zivunyelwe ngokuqondile. Ividiyo (MP4, MOV, MKV) siyisusa i-audio track server-side ngaphambi kokuyithumela ku-Whisper - awudingi ukushintsha noma yini ngokwakho. I-pipeline efanayo ngaphandle komthombo we-language, kufaka phakathi i-isi-Sundanese.
U-Anonymous ufaka i-upload engaphezu kuka-500 MB ngefayela ngalinye. Ama-akhawunti abhalisiwe afinyelela ku-2 GB. Usuku alukho umkhawulo onzima - amafayela ade ahlukaniswa ngokuzenzakalela (amafasitela amamitha ayi-30 ahlukaniswe) futhi aphinde ahlukaniswe ku-transcript eyodwa nesikhathi esiqhubekayo. Ukurekhodwa kwehora elilodwa isi-Sundanese (podcasts, izifundo ezigcwele, izinhlanganiso) kusebenza kahle.
Yebo - ukudweba umsindo kufakwe ngokuzenzakalela kuwo wonke ama-isi-Sundanese transcript. I-output ihlukaniswe njenge-Speech 1 / Speaker 2 / Speaker 3 ngesikhathi sosuku, ngakho-ke izingqungquthela, izingqungquthela zepaneli, kanye nezingqungquthela zeqembu eliningi zibuyela emuva zibhalwe. Ukudweba umsindo kuqhutshwa 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=su, futhi sibuyisela umbhalo nge-timestamps ne-speaker labels. I-typical isi-Sundanese content: izifundo, izingqungquthela, izibhengezo zomsindo, kanye YouTube okuqukethwe ku isi-Sundanese zonke umsebenzi - chofoza i-URL / transcribe / youtube / noma ulayishe ifayela ngqo.
Whisper ibiza cishe ama-token angama-50 ngomzuzu wesandi, ngakho-ke ukurekhodwa kwehora elilodwa kubiza ama-token angama-~3,000. Abaningi abasebenzisayo abachithanga lutho - i-pool yamahhala yansuku zonke yama-token angama-30,000 ifaka ama-clip aphansi, ama-voice notes, nama-podcasts afanayo. Ngaphesheya kwayo, ukudluliswa kwenziwa ngemali-njengoba-uhamba, nge-token top-ups kusuka ku-$1.
Yebo - zombili izigaba-level (zozo zonke ~10-30 imizuzwana) kanye negama-level timestamps zikhona. Igama-level yiphutha le VTT/SRT subtitle export ngakho ama-captions asynchronize line-by-line. On the API set timestamps="word" in the request body. isi-Sundanese izibhalo ezibhalwe phansi zibuyiselwa ku UTF-8 ejwayelekile nge-ortography ejwayelekile yesilimi.
Yebo. I-POST umsindo (ingxenye eminingi/ifomu-data, igama lendawo "ihele") ku /v1/transcribe / nge-language=su - noma ushiye i-language parameter ukuze i-Whisper ikwazi ukukhomba ngokuzenzakalela. Ibuyisela i-JSON ne-transcript, ama-segments, ama-timestamps, nama-speaker labels. Ubufakazi obugcwele kanye ne-SDK snippets ku /api/.
Yebo - uma isingeniso siqediwe, chofoza Ukuhumusha noma ubeke umbhalo ku /isingeniso/. isi-Sundanese ixhumana namanye amagama asizoxhasa (200+). Usuku lokuxoxa lidlulisa isingeniso /ukusho/; ukudlulisa ukuthumela ku /uzwi/tts/ ukuveza umsindo kulesizinda solimi.
Whisper's noise training helps less at this tier - the bottleneck is the amount of isi-Sundanese 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 ingekho, thumela i-imeyili contact@free.ai ngefayela - sizobuyisela ama-token futhi sibheke ukuthi ngabe i-engine ehlukile iphatha umsindo wakho kahle.