Podcast transcription

Ho sebelisa khoebo 581 models Ha ho na letšoao la metsi Ha ho hlokahale ho ngolisa
Mofuta:
+ GPT-5, Claude, Gemini
Ho kenya podcast e le karolo ea podcast le ho fumana transcript e hloekileng, e ngotsoeng ke mohlophisi le li-markers tsa lihlooho tse hlahang ka ho toba ho tloha lipakeng tsa ho se utloe. Lifaele tsa mofuta o telele ho fihlela ho 2GB, lipuo tse 99, Whisper-large-v3 ka bongata. Ho fetisa e le SRT / VTT bakeng sa podcast ea hau ea video, TXT e tloaelehileng bakeng sa litlhaku tsa ho bonts'a, kapa JSON bakeng sa ho hlophisa ka ho sebetsa ka mokhoa oa Descript.

Tlosa le ho beha podcast ea hau, kapa tobetsa ho sheba

MP3, WAV, M4A, OGG, MP4 — liketsahalo tse telele tsa ho fihlela ho 2GB

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Li-markers tsa lihlooho li tlalehiloe ka lehlakoreng la mosebelisi ho tloha lipakeng tsa li-segment'me li hokahantsoe le transcript. Tseba ho li kenya ho YouTube kapa ho Spotify ho hlalosa kamoo li leng kateng.
Token e ka tlaase bakeng sa k'homphieutha ena
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Podcast transcript
Lihlooho tse fumanehang ka ho toba

Ho ngola podcast ea hau...

Liketsahalo tse telele li nka metsotso e mengata. U ka koala sena tab haeba lengolo-tsoibila-ha-e-na-e-

E entsoe bakeng sa podcasters + show editors

Bontša litlhaku ka ho kenya e le 'ngoe

Ho kenya lihlooho tsa moqoqo, ho kenya TXT. Li-labels tsa moqoqo li hokahantsoe, libuka tsa nako li loketse ho hlalosa Spotify / YouTube, poso ea blog e ngotsoeng ka metsotso e 10 e le hore e be lihora tse 4.

Lihlooho tsa podcast ea video

Eba le SRT kapa WebVTT le li-labels tsa mohlophisi. Eba kapele ho Premiere, Final Cut, kapa DaVinci Resolve — kapa u arolelane le video ea hau ea YouTube bakeng sa li-caption tse hloekileng.

Ho hlophisa lihlooho tse nang le lihlooho tse nang le lihlooho

JSON ho tsoa ho u fa mantsoe ohle le ho qala / ho fela ha li-timestamp. Pipe ho Descript, Reaper, kapa ho tsamaea ha mosebetsi oa hau - ho hlophisa ka ho bonts'a mongolo ho fapana le ho hloekisa.

Ho sebetsa joang ho podcast transcription

  1. E-ba le livideo tsa hau ka ho toba ho MP3, WAV, M4A, MP4, ho fihlela ho 2GB.
  2. E-ba le li-labels tsa mohlophisi le li-markers tsa hlooho li hokahane (li tloaelo). Khetha mofuta oa hau oa tlhahiso.
  3. Re hlahloba nako ea ho sebetsa + theko ea eona pele u sebelisa tokens efe kapa efe. Tobetsa Transcribe.
  4. Kopitsa TXT, SRT, VTT, kapa JSON e nang le letšoao la mohlophisi. Li-markers tsa lihlooho li romelloa ka lehlakoreng le leng, li loketse ho kopanya.

Free.ai podcast transcription vs Descript, Riverside, Otter

Sebopeho sa leqephe Free.ai Descript Riverside Otter.ai
ThekoPay-per-use ($0.003/min)$15-30/mo$19/mo$16.99/mo
Boholo ba faele bo boholo2 GB5 GBTied to record session500 MB (varies)
Ho arolelana
Li-markers tsa lihlooho ka ho toba (e thehiloeng ho khutso)Manual-Paid tier
Ho romella kantle SRT/VTTPaid
Li-languages9922100+English-focused
API ea sechaba--Limited
Theko ea bafani ba litšebeletso e bonts'a li-levels tse boletsoeng ka bongata ka 2026. Check each provider for current plans.
Likhetho tse tsoetseng pele
Phello
Tokens e tlase. Fumana Token e eketsehileng
U batla liphetho tse ntle? Li-models tsa Premium (GPT-5, Claude, Gemini) fana ka boleng bo phahameng. Bona Li-Planes

❤️ U rata Free.ai? Reka ho ba lelapa la hao!

Register ho fumana sehokela sa ho u joetsa le ho fumana li-token tse 25 000 ka motsoalle.

U batla ho feta? E-ba le tokelo ea ho ingolisa: 30,000 tokens/day
Ho ngolisa

Ho sebetsana le kopo ea hau...

Ho ngola podcasts ho ea ho mongolo ka AI ka mahala. Li-labels tsa moqoqo, li-markers tsa lihlooho, ho fetisoa ha SRT.

Ho sebelisa Podcast transcription

1
Tobetsa ho kenya

Tlatsa mongolo, kenya faele, kapa hlalosa seo u se batlang. Ha ho hlokahale ak'haonte.

2
Tobetsa ho theha

AI ea rona e sebetsana le kopo ea hau ka metsotsoana e seng mekae ka ho sebelisa li-models tse ntlehali tsa open-source.

3
Tlosa & arolelana

Kopitsa, kenya kapa arolelana sephetho sa hau. Haholo-holo bakeng sa ho sebelisana le batho ba bang le ho rekisa.

Senya sesebelisoa sena ka API

Automatize ena sesebelisoa ho tloha ho hao code. OpenAI-ka lumellanang REST endpoint, Bearer-token auth, ha ho hlokahale SDK e eketsehileng. Token theko e lumellana le web interface.

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 transcription - FAQ

Mochini oa podcast o tloaetse ho bua ka ho bua le li-markers tsa lihlooho (ho fumana li-gap tsa ho se utloe> 2s),'me o tšehetsa li-file tsa nako e telele ho fihlela ho 2GB. Li-formats tsa ho tsoa li kenyelletsa SRT + VTT bakeng sa livideo tsa ho bonts'a-li-notes, TXT e tloaelehileng bakeng sa li-blog posts, le JSON e hlophisitsoeng le li-timestamps tsa ho khutla + li-labels tsa ho bua bakeng sa ho hlophisa li-workflows tsa Descript-style.

Ho fihlela ho 2GB ka faele - ka bokhutšoanyane podcast ea audio ea lihora tse 14 ka 128 kbps MP3. Lifaele tse telele li kopanngoa ka lehlakoreng la server bakeng sa ho hlaphoheloa; u tla fumana transcript e le 'ngoe e kopantsoeng.

Ha ho joalo. Ho tšoaea moqoqo ke ON ka ho sa feleng. Re fumana li-voices tse 2-10 tse fapaneng ka ho sebelisa ECAPA voice embeddings, re li lebisa Speaker 1 / 2 /...'me re li sebelisa ho segment e ngoe le e ngoe. U ka li fetola lebitso ho bona sephetho.

Li-gaps tsa ho se utloe li telele ho feta metsotsoana e 2 - li-podcasters li sebelisa li-pauses tsa tlhaho lipakeng tsa li-segments. Sehlooho se seng le se seng se fumana timestamp eo u ka e beha kapele ho li-notes tsa hau tsa ho bonts'a ka "Chapters:" block bakeng sa YouTube + Spotify.

Descript e lefa $ 15- $ 30 ka khoeli bakeng sa lihora tsa 10 tsa ho ngola, tse hokahaneng le moqapi oa bona. Re lefa ka ho sebelisa ka li-tokens tsa ~ 500 / min ho Whisper ($ 5 = li-tokens tsa 200K = ~ metsotso e 400), ha ho na ho ingolisa, ho rekisa kamehla u ka li beha kae kapa kae.

Riverside ke studio ea ho ngola e ngolang liketsahalo tsa hau tsa hau ka mahala kahare ho app ea bona, empa feela ka mor'a ho ngola le bona. Re ngola MP3 / WAV / MP4 efe kapa efe ntle le ho nahana hore na e ngotsoe kae.

Otter e kopanya metsotso e 300 / khoeli ka tekanyo e mahala'me e khethehile ka Senyesemane. Re fana ka lingoliloeng tsa 99 ka bongata bo tšoanang ba Whisper-large-v3 ntle le tefo ea khoeli le khoeli - u lefa ka metsotso e ngotsoeng.

Ee - khetha SRT kapa WebVTT e le mofuta oa tlhahiso. Li-labels tsa moqoqi li kenyelelitsoe ka har'a (SRT) kapa e le li-tags tsa <v Speaker N> (VTT) tseo libapali tse ngata tsa morao-rao li li bonts'ang ka ho nepahetseng.

Whisper-large-v3 e sebetsana le li-beds tsa moqoqo le reverb e khanyang hantle (li-error tsa mantsoe tse tloaelehileng tsa 3-7%). Moqoqo o moholo haholo kapa ho koaloa ha boima ho fokotsa botsitso - nahana ka ho sebetsa /music/vocal-remover/ pele ho kopitsa, kapa ho arolelana li-openers tsa hau tse omileng.

Whisper sebetsana le tse ling tse tloaelehileng haholo, empa haholo brand-e ikhethang jargon ka hloka ho kena-edit. A ~ 30-minute episode kamehla na le 5-10 brand / lebitso phetoho ho sebelisa ka letsoho.

E-ba le tsona ka nako e le 'ngoe mona, kapa sebelisa /batch/ e le hore u ka li beha ka nako e le' ngoe. API ho /api/ e amohela POST /v1/stt/ bakeng sa ho kenya ka nako e le 'ngoe.

Ha ho joalo. Lifaele tse kenang li tlosoa ha ho phetheloa ho ngola. Ho ngola ho ka ba teng ho /account/history ea hau bakeng sa ho kenya ha u ntse u kenya; basebelisi ba sa tsejoeng ba tla fumana ho arolelana ho hokahanya ka lihora tse 24.

E-ba le tokelo ea ho ingolisa: 30,000 tokens/day

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