Podcast Transcrition

Whakapānga hokohoko OK Kāhua 581 Kāore he tohu wai Kāore he hiahia ki te whakaingoatanga
Kāhua:
+ GPT-5, Claude, Gemini
Whakataki i tētahi wāhanga podcast me te whiwhi i tētahi pūrākau mārama, kaikōrero-tatauranga me ngā tohu wāhanga i kitea mārō mai i ngā mokowā whakamātautau. Ko ngā faila āhua roa tae atu ki te 2GB, 99 reo, Whisper-large-v3 te tika. Ka whakawātea hei SRT/VTT mō tōmu podcast ataata, TXT noa mō ngā tuhipoka whakaaturanga, JSON rānei mō te whakamātautau i ngā rerenga mahi āhua Descript.

Ka tangohia me te whakawātea i tōna wāhanga podcast, ka pāhoatia rānei hei tohutohu

MP3, WAV, M4A, OGG, MP4 — ngā wāhanga āhua roa tae atu ki te 2GB

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Ka tātaitai ngā tohu wāhanga i te taha o te kaiuru mai i ngā wāhanga wāhanga, ā, ka hono ki te tāruatanga. Ka tāpiri i a rātou ki ngā whakaahuatanga YouTube, Spotify rānei i te āhua nei.
Ko te whakataurite tohu mō tēnei rīpene
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Podcast transcript
Ko ngā wāhanga i kitea mātauranga

E whakamātau ana ki te whakamātau i tō tātou podcast...

He maha nga minu e hiahiatia ana e ngā wā roa. Ka taea e koe te kati i tēnei pito mēnā kua whakamātauria te imeli-i te mutunga.

I hangaia mō ngā pūkōrero + kaiwhakawhanake whakaaturanga

E whakaatu ana i ngā tuhipoka i roto i tētahi tāpiri

Whakataki i te wāhanga, tuku i te TXT. Ko ngā tohu kaikōrero i roto i te raina, ko ngā wāhanga wā e whakaritea ana mō tō tātau whakaahuatanga Spotify / YouTube, ko te tuhituhi pukapuka i tuhia i roto i ngā minu 10 i te wā o te 4.

Ko ngā whakarārangi pūkōrero wikiō

Ka whakawātea i te SRT, i te WebVTT rānei me ngā tohu kaikōrero. Ka whakawātea ki Premiere, Final Cut, DaVinci Resolve rānei - ka whakawātea rānei i te taha o tōna pouaka whakaata YouTube mō ngā tuhipānui mārō.

Ka whakamātautau te whakamātautau i runga i te kuputuhi

Ka hoatu e te whakawāteatanga JSON ki a koe i ia kupu me ngā tātaitai wā tīmata/whakamutu. Ka whakawāteatia ki roto i te Descript, Reaper, i tētahi rerenga mahi ā-ā-wā rānei - ka whakakētia mā te whakamārama i te kupu i te wāhi o te whakawāteatanga.

He pēhea te mahi o te whakamārōpū podcast

  1. Ka tangohia e koe tōna wāhanga ki te rohe whakarewa — MP3, WAV, M4A, MP4, tae atu ki te 2GB.
  2. Ka waiho ngā tohu kaikōrero me ngā tohu wāhanga i runga (ko rātou ko ngā tūturu). Ka kōwhiri i tōna āhua huaputa.
  3. Ka tirohia e tātau te roanga + te utu i mua i te pau i ngā tohu. Ka pā ki te Pāpāho.
  4. Whakataki i te TXT, SRT, VTT, JSON rānei i whakawaengatia e te kaikōrero. Ko ngā tohu wāhanga e rere ana, e noho tata ana ki te tāpiri.

Free.ai te whakarerekētanga podcast vs Descript, Riverside, Otter

He āhuatanga Free.ai Descript Riverside Otter.ai
WhakahauhauPay-per-use ($0.003/min)$15-30/mo$19/mo$16.99/mo
Te rahi nui rawa o te pūranga2 GB5 GBTied to record session500 MB (varies)
Whakahauhautanga kaikōrero
Ko ngā tohu whakarārangi aunoa (whakatautuhi-whakatautuhi)Manual-Paid tier
Kāwanatanga SRT/VTTPaid
reo9922100+English-focused
API Tūmatanui--Limited
Ko te utu o te hoariri e whakaatu ana i ngā taumata whakarārangi tūmatanui i te tau 2026. Ka tirohia ia kaiwhiwhinga mo ngā mahere o nāianei.
Ko ngā kōwhiringa hōhonu
Whakamutunga
He iti rawa nga tohu. Ki te whiwhi tohu anō
E hiahia ana ki ngā hua pai ake? Kāhua Premium (GPT-5, Claude, Gemini) e whakarato ana i te āhuatanga tiketike ake. Ka tirohia ngā mahere

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Whakawhanaunga i te wātea

E whakamātau ana i tō tātau tono...

Ka whakamāoritia ngā podcast ki te kupu me AI mō te wātea. Ko ngā tohu kaikōrero, ngā tohu wāhanga, te whakanao SRT.

He pēhea te whakamahi Podcast Transcrition

1
Ka tāuru i tōna tāuru

Type i te kupu, tuku i tētahi faila, whakaahua rānei i te mea e hiahiatia ana e koe. Kāore he tatau e hiahiatia ana.

2
Ka whakatū te kōkā

Ka tuwhera e tātau AI tō tātau tono i roto i ngā wā e rua mā te whakamahi i ngā tauira pūtake tūwhera tino pai.

3
Whakahua me te tiritiri

Whakataki, tārua, tiritiri rānei i tōna hua. Whakatika noa mō te whakamahinga whaiaro, mākete rānei.

Ka whakamahia tēnei utauta mā te API

Whakawaia tēnei utauta mai i tō tātou waehere. OpenAI-hōu te wāhi mutunga o REST, te mana tohu-tokotahi, kāore he SDK tāpiri e hiahiatia ana. Ko ngā utu tohu e ōrite ana ki te tauwhitinga whetū.

curl -X POST https://api.free.ai/v1/stt/ \
  -H "Authorization: Bearer sk-free-..." \
  -H "Content-Type: application/json" \
  -d '{"file": "@audio.mp3", "language": "auto"}'

Podcast Transcrition - FAQ

Ko te utauta podcast e whakatūtū ana ki te whakahua kōrero me ngā tohu wāhanga (whakahaere-whakahaere> 2s), ā, e tautoko ana i ngā faila āhua roa tae atu ki te 2GB. Kei roto i ngā āhua o te huaputa ko SRT + VTT mō ngā tātuhi-whakaahua, TXT noa mō ngā tātuhi pukapuka, me te JSON hanganga me ngā tātai wā-whakahaere + ngā tohu kōrero mō te whakahua i ngā rerenga mahi ā-āhua Descript.

Tae atu ki te 2GB ia pūranga - tata tonu ki te 14-ora pūoro pūoro i te 128 kbps MP3. Ko ngā pūranga roa e whakawāteatia ana i te taha pāpāho mō te ātetetanga; Ka whiwhi anō koe i tētahi tāruatanga kotahi.

He. He ON te whakahauhautanga kaikōrero mā te pūmau. Ka kitea e tātau ngā reo 2-10 rerekē mā ngā whakahua reo ECAPA, ka whakawaengatia rātau hei Kaikōrero 1 / 2 /... ā, ka hoatu ngā tohu ki ia wāhanga. Ka taea e koe te whakahōu i a rātau i roto i te tirohanga hua.

He roa ake te wā o te whakamātautau i te 2 sekona - ko ngā wā whakawātea māori e whakamahia ana e ngā podcasters i waenganui i ngā wāhanga. Ka whiwhia wāhanga tētahi tātai wā ka taea e koe te tāpiri hāngai ki roto i ngā tuhipoka whakaaturanga me tētahi "Kaupapa:" kōwaehanga mō YouTube + Spotify.

Ko te utu o te Descript $15-$30 i ia marama mo ngā wā 10 o te whakamārō, e hono ana ki to rātau kaiwhakawhanake. E utu ana tātau i ia whakamahinga i te ~500 ngā tohu / min i runga i te Whisper ($5 = 200K ngā tohu = ~400 ngā minu), kāore he whakawhiwhinga, he whakawhiwhinga māmā ka taea e koe te whakapā i tētahi wāhi.

Ko Riverside he whare whakatangitangi e whakahua ana i o koe ake ngā wāhanga mō te wātea i roto i to rātau papatono, engari i muri i te whakahuatanga me rātau anake. Ka whakahuatia e tātau ētahi MP3/WAV/MP4 ahakoa i reira i whakahuatia ai.

Ko te Otter e whakatū ana i te 300 minu / mahina i runga i te taumata wātea, ā, ko te English-focused. E tautoko ana tātau i ngā reo 99 i te tika ōrite Whisper-large-v3 me te kore taitapa marama - ka utu koe i ia minu i whakamātauria.

He - kōwhiri i te SRT, WebVTT rānei hei āhua huaputa. Kei roto i ngā tohu kaikōrero te ārai (SRT), hei tohu <v Speaker N> rānei (VTT) e tika ana te whakanao i te nuinga o ngā kaiwhakaari o nāianei.

Ka whakahaeretia e te Whisper-large-v3 ngā motika pūoro me te whakarerekētanga māmā (te ōritetanga hē-wānanga 3-7%). He pūoro tino mārō, he taumaha rānei te whakawāteatanga - whakaaro ki te whakahaere /pūoro/vokal-remover/ i te tuatahi i runga i tētahi tārua, te whakawātea rānei i ōna tomokanga mārō.

Whisper handles most common names, but highly brand-specific jargon may need a post-edit pass. A ~30-minute episode typically has 5-10 brand/name corrections to apply manually.

Whakarewahia rātau kotahi i tētahi wā i tēnei wāhi, ka whakamahia rānei tātau āhuatanga /batch/ i te wā kotahi i whakaingoatia ai hei whakarārangi i tētahi wā. E whakaae ana hoki te API i /api/ ki POST /v1/stt/ mō te whakarārangi papatono.

Kāore. Ka tangohia ngā faila i whakarewa i muri i te oti te whakarerekētanga. Ka noho tōna whakarerekētanga i roto i tōna /kōrero/ hītori mō te whakaterenga mēnā kua tāurutia; Ka whiwhi te kaiwhakaari ā-whakaaro i tētahi pātahitanga tiritiri 24-wā.

Whakawhanaunga i te wātea: 30,000 tohu / rā

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