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Podcast Transcription

Kushandiswa kwekutengesa OK 380 + mamodheru Hapana mvura Hapana kumbobvira kushanyira
Model:
+ GPT-5, Claude, Gemini
Upload podcast episode uye uwane yakachena, munyori-yakanyorwa transcript neauto-yakawanikwa chitsauko vamiri kubva kutsvenesa zvikanganiso. Long-fomu mafaera kusvika 2GB, 99 languages, Whisper-large-v3 kunyatsoita. Export se SRT / VTT yevhidhiyo yako podcast, plain TXT yekuratidza zvinyorwa, kana JSON yekugadzirisa mu Descript-style workflows.

Dzvanya uye bvisa yako podcast episode, kana tinya kuti uone

MP3, WAV, M4A, OGG, MP4 — mazuva marefu-mufananidzo episodes kusvika 2GB

— — — —
Chapter markers zvinodiwa client-pasi kubva segment zvikanganiso uye akaiswa ku transcript. Peta avo mu YouTube kana Spotify descriptors sezvairi.
Kufungidzira kwechiratidzo cheiyi clip
—
Podcast transcript
Zvinyorwa zvakaonekwa otomatiki

Kushandura yako podcast...

Zvimwe zvinotora maminitsi akawanda. Unogona kuvhara iyi tab kana email-when-done yakasimbiswa.

Yakagadzirwa yepodcasters + kuratidzwa kwema editors

Kuisa mabhureki mubhokisi rimwe chete

Kutumira episode, bvisa TXT. Speaker mapepa inline, chikamu timestamps agadzirira yako Spotify / YouTube descriptor, blog post yanyorwa mu 10 maminitsi kwete 4 mazuva.

Subtitles

Kutumira kunze SRT kana WebVTT nezita remunyori. Kuisa zvizere muPremiere, Final Cut kana DaVinci Resolve — kana kurodha pasi pamwe neYouTube video yako kuti uwane zvinyorwa zvakajeka.

Kushandura kwechitsauko chinobva pamashoko

JSON kutumira kunze inokupa iwe ese mazwi nekutanga / kupera timestamps. Pipe into Descript, Reaper, kana a customized workflow - gadzirisa nekudhinda tenzi sezviri nyore.

Maitiro ekushandisa podcast transcription

  1. Dzvanya yako episode panzvimbo yekudonha - MP3, WAV, M4A, MP4, kusvika 2GB.
  2. Kudzokera kumusoro
  3. Tichaona nguva yakareba sei + mutengo wacho usati washandisa chero mari. Tinya kushandura.
  4. Dhawunirodha TXT, SRT, VTT, kana JSON yakanyorwa nemunyori. Mabhuku eChapter anoenda pamwe chete, akatogadzirira kuiswa.

Free.ai podcast transcription vs Descript, Riverside, Otter

Chimiro Free.ai Descript Riverside Otter.ai
MutengoPay-per-use ($0.003/min)$15-30/mo$19/mo$16.99/mo
Max file size2 GB5 GBTied to record session500 MB (varies)
Kutaura kwemutaura
Auto chapter markers (inotarisana nechinyararo)Manual—Paid tier
SRT/VTT yekudyidzanaPaid
Zvinhu9922100+English-focused
Public API——Limited
Kutengesa kwevakwikwidzi kunoratidzwa kune vese vanozivikanwa mu2026. Cheka chero mutengesi wezvino plano.
_Zvirongwa
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Kugadzirisa yako mibvunzo...

Transcribe podcasts kune tenzi neAI yemahara. Speaker malabels, chitsauko mamarkers, SRT kutumira kunze.

Maitiro ekuisa Podcast Transcription

1
Sarudza yako input

Tinya meseji, wedzera faira, kana kuti nyora zvaunoda. Hapana account yaunoda.

2
Tinya kuumba

Our AI inoongorora yako mibvunzo mumasekondi nekushandisa yakanakisa open-source mamodheru.

3
Dhawunirodha & shandisa

Dhawunirodha, kopa kana kugovera yako mhinduro. Yemahara yemunhu uye yekutengesa kushandiswa.

Usashandisa iyi chirongwa kuburikidza neAPI

Automatize iyi chirongwa kubva yako pachako code. OpenAI-inowirirana REST endpoint, Bearer-token auth, hapana zvishoma SDK zvinodiwa. Token mutengo kusangana web interface.

API Documentation Get API Key 
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"}'

Zvinoenderana neFree AI Tools

AI Transcription
Transcription
YouTube Transcription
Transcription yemusangano
Kuwedzera Kushandura
Audio kuenda kuTekisi
Video kuenda kuText
Phone Call Transcription

Podcast Transcription — FAQ

Podcast chirongwa defaults kutaura diarization uye chitsauko vagadziri (silence-gap detection> 2s), uye anotsigira refu-mufananidzo mafaera kusvika 2GB. Output mafomati kusanganisira SRT + VTT kuratidzwa-notes video clips, plain TXT for blog posts, uye zvakasikwa JSON ne per-turn timestamps + munyori mapepa ekushandura mu Descript-style workflows.

Kusvika 2GB per file — pamusoro 14-awa audio podcast pa 128 kbps MP3. Long mafaera ndicho server-side kugadzikana; uwane imwe chete akabatanidzwa transcript.

Yeah. Kutaura kwemutaura kunoshanda zvakananga. Tinoona 2-10 zvakasiyana-siyana zvirevo kuburikidza neECAPA zvirevo zvinoiswa, tinovaita Mutaura 1 / 2 /... uye tinovaisa pamasegmenti ese. Unogona kuchinja zita ravo mumhedzisiro yekuona.

Silence gaps zvinopfuura 2 masekondi - zvakasikwa paunenge uchivhara podcasters pakati pezvikamu.Chipiri chinowana nguva yekunyora iwe yaunogona kuisa zvakananga mushow-notes yako ne "Chapters:" block yeYouTube + Spotify.

Descript charges $15-$30 pamwedzi ye10 mazuva transcription, akazvimirira kuti vagadziri vavo. Tichibhadharisa per-kushandisa pa ~ 500 tokens / min pa Whisper ($5 = 200K tokens = ~ 400 maminitsi), hapana subscription, plain export unogona kuisa chero kupi.

Riverside ndiyo studio yekurekodha iyo inonyora mavhidhiyo ako emahara mukati meapp yavo, asi chete mushure mekunyora navo.Tinonyora chero MP3 / WAV / MP4 pasina kunyatsoziva kuti yakarekodhwa kupi.

Otter inosvika pa300 maminitsi pamwedzi pamhando yemahara uye inotarisa paChirungu. Tine rutsigiro rwe99 marudzi ezvinyorwa nemhando imwechete yeWhisper-large-v3. Hapana chiyero chemwedzi.

Yeah — sarudza SRT kana WebVTT sezvakagadzirwa format. Speaker mapepa anosanganisira inline (SRT) kana se <v Speaker N> tags (VTT) kuti vakawanda modern vatambi render zvakarurama.

Whisper-large-v3 inobata miromo yemuvhi uye magetsi emagetsi zvakanaka (yakajairika 3-7% yemashoko-ematambudziko). Mumhanzi wakaoma kana kusangana kwakanyanya kunokanganisa kunyatsoita. Dzvanya /music/vocal-remover/ kuti utore kopi, kana kuisa cold opens.

Whisper inodzora akawanda emazita anowanzoshandiswa, asi shoko rekuti brand-specific jargon rinogona kunge richida post-edit pass. A ~ 30-minute episode inowanzo shandisa 5-10 brand / name corrections kuti riite nemunhu.

Upload avo mumwe pamwechete pano, kana kushandisa yedu / batch / chimiro kamwe signed in kuti queue up a season. The API pa / api /wowo anobvuma POST / v1 / stt / for programmatic batching.

No. Uploaded files are deleted after transcription completes. Your transcript sits in your /account/ history for download if logged in; anonymous users get a 24-hour share link.

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