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Hoʻouna i kekahi Podcast

E hoʻopili i kahi loulou podcast episode a i ʻole URL leo a loaʻa i kahi transcript AI pololei i nā kekona - me nā labels speaker, nā manawa, a me ka hoʻouna ʻana i SRT, TXT, a i ʻole DOCX.

Hoʻohana me nā leo a me nā wikiō i loaʻa i ka lehulehu. ʻAʻole kākoʻo ʻia nā mea i pale ʻia e DRM.

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Ka hoʻolaha ʻana i ka manawa maoli i ka huaʻōlelo. AI hoʻoponopono ʻia e like me kou kamaʻilio ʻana - hoʻomaikaʻi ka pololei me ka hoʻolaha lōʻihi.

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Ua hoʻohanaʻoe i kāu mau hoʻololiʻana i nā hua'ōlelo manuahi

E hoʻopaʻa inoa no ka manuahi e loaʻa ai 600 mau minuke / mahina, a i ʻole hoʻohou no nā hoʻololi ʻole.

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Hoʻohana i nā loulou hōʻike mai Apple Podcasts, Spotify, YouTube, MP3s a me nā mea hoʻoili RSS - 1,300 + mau papa i ka helu.

Hoʻohana me nā leo i loaʻa i ka lehulehu. ʻAʻole kākoʻo ʻia nā mea i pale ʻia e DRM.

1. Peʻe i ka URL

Kope i ka loulou i ka podcast episode a i ʻole kāna leo / URL RSS a kāpili iā ia ma luna.

2. AI transscribes ia

E hoʻouna mākou i ka leo a hoʻouna iā ia me ka hoʻomaopopo ʻana i ka mea kākau a me nā hua'ōlelo o ka pae hua'ōlelo.

3. E heluhelu a hoʻouna

E huli i ka transcript, hoʻoponopono i nā mea kani, a hoʻouna i SRT, VTT, TXT, DOCX, a i ʻole JSON.

Podcast Transcribing Features

Ka Hōʻike Hoʻolaha

AI hōʻike i nā mea hoʻokipa a me nā mea kipa i ka manawa like. Hoʻopilikia ʻia kēlā me kēia mea haʻi ʻōlelo i hiki ai i nā mea heluhelu ke hoʻomau i ka kamaʻilio.

SEO-Friendly transcripts

Hoʻolaha nā transcripts i nā mea huli e hōʻike i kāu mau mea podcast, e hoʻohuli i ka kaʻa kūloko hou aku i kāu hōʻike.

Hōʻike i ka hanauna Notes

Hoʻohana i ka hōʻuluʻulu AI e hana i nā hōʻuluʻulu hōʻike, nā mea nui, a me nā manawa no nā hōʻike hōʻike.

E hoʻokomo i kāu pūnaewele

E hoʻokomo i nā transcripts i hoʻohuli ʻia, i hoʻohuli ʻia i kāu pūnaewele podcast me kahi laina hoʻokahi o ka helu.

No ke aha e hoʻololi ai i kāu Podcast?

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Hiki ke huli
Eʻimi i kekahi manawa i ka manawa
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Nā mea heluhelu e noho lōʻihi ma ka pūnaewele
Ka mea hoʻohuli AI Ka mea hana hua'ōlelo Hōʻike i ka mea hana Notes

Nā nīnau i nīnau pinepine ʻia

podcast transcription runs in your browser: paste a URL, upload a file, or record from your mic. STT.ai picks the AI model and returns the transcript in under 5 minutes. Export as TXT, SRT, VTT, DOCX, JSON, or PDF.

Yes — every visitor gets 600 free minutes/month on STT.ai, usable for podcast transcription the same as any other workflow. Paid plans starting at $5/month unlock longer files, private transcripts, and priority queueing.

podcast transcription runs on the same AI models as the rest of STT.ai — our best models reach 95-97% accuracy on clean speech (3-5% Word Error Rate on benchmarks). Switch models on the fly if the first pass is below your target.

podcast transcription can run on any of STT.ai's 10+ models — STT.ai Enhanced (most accurate), Whisper Large V3 (99 languages), NVIDIA Canary (#1 WER on supported langs), Whisper Turbo (fast), Moonshine (lightweight), and more.

Yes. Every transcript exports as SRT or VTT — works with YouTube, Vimeo, TikTok, VLC, and every major video player. The burn-subtitles tool overlays them onto video as hardsubs.

Yes. Speaker diarization automatically labels each voice (Speaker 1, Speaker 2, ...) and you can rename them in the built-in editor. Works across all models and languages.

Most podcast transcription jobs finish in under 5 minutes. A 1-hour audio file typically completes in 2-3 minutes with our fastest models. Speed depends on chosen model and current GPU load.

podcast transcription accepts 20+ formats — MP3, WAV, M4A, FLAC, OGG, MP4, MKV, MOV, WebM, AVI, and more. Output to TXT, SRT, VTT, DOCX, JSON, or PDF.

Yes. Audio files submitted to podcast transcription are processed and deleted by default. Pro plans add client-side encryption — even if STT.ai's database is breached, your transcripts are unreadable without your key. Data is never used for model training without explicit opt-in.

Yes. STT.ai offers a REST API with Python and Node.js SDKs, plus an MCP server for Claude and Cursor — all usable for podcast transcription workflows. Free API tier includes 100 minutes/month.

Yes. Every transcript opens in the built-in editor where you can correct words, rename speakers, adjust timestamps, and add notes. All changes save automatically.

Every transcript gets a unique shareable URL. Export to DOCX or PDF for email. Pro plans add password-protected and permanent links — useful for client work.

STT.ai handles 1,300+ platforms including YouTube, Vimeo, TikTok, SoundCloud, Zoom, Google Meet, podcast hosts, and more. URL transcription works with publicly-available content only — DRM-protected sources can't be transcribed.