Whakapāpāhotanga Marati wātea
Ka whakamāoritia te oro me te ataata Marati ki te kupu me AI. Āhua tere, tika, me te wātea.
He pēhea te mahi
- Tere ki te Free.ai Transscriber
- Whakarewa i tōmu pūoro Marati, he pūrongo pūoro rānei
- Ka kitea ā-māoritia e tātau AI te Marati, ā, ka whakamāoritia
- Whakahua i tōna whakahua hei kupu, hei whakahua SRT rānei
Marati He āhuatanga whakamāoritanga
- ✓Ka whakarewaina e faster-whisper (whakaahua MIT)
- ✓Kitenga reo Marati ā-mātau
- ✓E tautoko ana i te MP3, WAV, MP4, M4A, FLAC, me ētahi atu
- ✓Ko ngā tātai wā me te whakarerekētanga o te whakarārangi (SRT)
- ✓Kāore he tepe o te rahi o te pūkete i runga i ngā mahere utu
- ✓Private me te haumaru -- ka whakakoretia ngā faila i muri i te tukanga
Whakamāramatanga o te reo
| reo | Marati |
| Kāri ISO | mr |
| Tauira AI | faster-whisper |
| Whakahauhau | Waihoki |
He maha atu reo
Tirohia ngā reo katoaFAQ
Ko te Marati he reo pūtake-waenga mō te Whisper - he nui-v3-turbo ngā whenua i roto i te 15-25% te rerekētanga o te wāhanga hē o te kupu. He tino tika te āhua o te whakahua; e tūmanako ana ki ngā hapa taketake, i ētahi wā ka huri te waehere, me ngā pōharatanga poto-whakahaere. Ka whakaritea he whakawhitinga tangata mō te huaputa mātauranga.(Tier C, 15-25% word error rate i runga i ngā huinga tohu - ka whakaputaina e tātau ngā taumata pono WER kaua ko ngā take mākete.)
He - ko te whakamārōtanga Marati e whakataki ana i te tuatahi mai i tō tātou pūpū tāuru wātea i ia rā. Ko te pūoro e utu ana i ngā tāuru 50 i ia minu, nō reira ko te pūoro ā-rohe i ia rā e taupoki ana i ētahi wā o te oro i ia rā. Ka whiwhi te pūrongo i te pūoro nui ake o te 30,000-tāuru i ia rā. I muri iho, ko te whakamārōtanga he utu-i-te-rohe, me ngā tāuru-i-te-rohe mai i te $1.
Ka hoki ngā whakahua Marati ki te tuhituhi Devanagari (UTF-8).
MP3, WAV, M4A, FLAC, OGG, OPUS, me WEBM e whakaaetia ana. Mō ngā ataata (MP4, MOV, MKV) ka tangohia e tātau te aho-pāpāho i mua i te tukuna ki Whisper - kāore e hiahiatia kia tahuri e koe. He ōrite te pūtautau ahakoa te reo pūtake, tae atu ki te Marati.
Ko te whakaata whakaata ā-whakahaere i te āhua o te 500 MB ia pūkete. Ko ngā pūkete i whakaingoatia e tae atu ki te 2 GB. Kāore he tepe uaua te roanga - ka whakawāteatia ngā pūkete roa i te wā kotahi (30-sekondi matapihi me te whakawāteatanga) me te whakatata ki roto i tētahi pūkete kotahi me ngā wā whakatata. He pai te mahi o ngā pūkete Marati maha-ora (pūkete, whakaakoranga katoa, hui).
He - ko te kaikōrero diarization i runga i te pūmau mō ia whakahuatanga Marati. Ka whakawāteatia te huaputa hei Kaikōrero 1 / Kaikōrero 2 / Kaikōrero 3 me ngā tātaitai wā, nā reira ko ngā uiuinga, ngā kōrero papa, me ngā hui maha-pāpāho e hoki ana ki te tohu. Ka haere te Diarization i runga i tētahi tauira motuhake, ā, he ōrite te mahi i ngā reo katoa e tautoko ana e tātau.
He - whakataki i te URL ki roto i /transcribe/youtube/ mō YouTube, /transcribe/podcast/ rānei mō ngā pūngao podcast (Apple, Spotify, RSS). Ka whakataki tātau i te oro, ka haere i roto i te Whisper me te reo=mr, ā, ka hoki te whakarerekētanga me ngā tātai wā me ngā tohu kaikōrero. Ko ngā ihirangi Marati noa iho: Ko ngā tuhipoka reo WhatsApp, YouTube vlogs, me ngā ataata āhua poto ko ngā utu mahi Marati tino noa - whakataki i tētahi URL ki /transcribe/youtube/, ka whakatakatia rānei te oro..
Ko te utu o te Whisper tata ki te 50 ngā tohu i ia minu o te oro, nō reira ko te whakataki kotahi wā ~3,000 ngā tohu. Ko te nuinga o ngā kaiwhakamaori kāore i te pau i tētahi mea - ko te pūtea wātea o te 30,000 ngā tohu i ia rā e taupoki ana i ngā tākaro poto, ngā tuhipānui reo, me ngā podcast kotahi. I tua atu i tēnei, ko te whakamārōro he utu-i-te-rohe, me ngā tohu whakahauhau mai i te $1.
He - e rua ngā taumata wā o te wāhanga (i ia ~10-30 sekona) me ngā wā-wā e wātea ana. Ko te taumata-wā te pūmau mō te whakawāteatanga o te whakawāteatanga VTT/SRT kia ōrite ai ngā whakamāramatanga ki te rārangi-ki-rārangi. I runga i te API e whakaritea ana ngā wāhanga ="wā" i te tinana tono. Ka hoki ngā whakahua Marati ki te tuhituhi Devanagari (UTF-8).
He. POST audio (maha-wāhanga/whakahaere-whakahaere, ingoa āpure "file") ki te /v1/transcribe/ me te reo=mr - ka waiho rānei te tohuāhua reo kia taea ai te Whisper te kite i te āhua o te āhua. Ka hoki mai te JSON me te whakamāoritanga, ngā wāhanga, ngā tātaitai wā, me ngā tohu whakarongo. Ko te tohutoro katoa me ngā tātai SDK i te /api/.
He - i te mutunga o te whakamāoritanga, ka whakataki te whakamāoritanga, te whakarārangi rānei i te kupu ki / whakamāori /. Marati ngā takirua me ētahi atu reo e tautoko ana i a mātau (200+). Mō ngā wā o te hui, ka whakawāteatia te whakamāoritanga mā / whakarārangi /; mō te whakamātautau, ka tukuna ki / oro/tts/ hei whakapāpāho i te oro i te reo ūnga.
Kei te taupānga tonu te kaha o te māharahara o Whisper ki te Marati, engari i tēnei taumata tika, ka whakakotahitia te māharahara tāpiri ki te mokatere hapa taketake. Ka tuku te oro o te pūrere mārō i ngā hua pai ake i te pūrere, i te pūrere rānei. If a transcript comes back unusable, email contact@free.ai with the file - we will refund the tokens and look at whether a different engine handles your audio better.