Ka whakamahia ngā take whakahuatuhi

AI-powered speech-to-text mō ia take - hui, podcasts, ngā whakarongo, ngā pāpāho pāpori, me ētahi atu.

Ka mahi ki ngā oronga me ngā ataata e wātea ana ki te iwi whānui. Kāore e tautokona ngā ihirangi DRM-protected.

Whakahauhau mo te Whakarei ake
Private transcript
Kāhea me te whakahua
Whakapūkete me te Pro →
Ka tangohia te faila ki konei, ka tirohia rānei
MP3, WAV, M4A, FLAC, MP4, MKV, MOV, WebM — tae atu ki te 2GB
Whakahauhau mo te Whakarei ake
Private transcript
Kāhea me te whakahua
Whakapūkete me te Pro →
Whakahauhau mo te Whakarei ake
Te whakataki: 0:00
Wā-tūturu Wai (kore)
Whakarei ake Whisper (taurite)
Pānga tūmatanui: 24h, kupu anake · Ka whakaingoatia mō te 7d + oroiti · Ka taea mō ngā pātahitanga tūmataiti

Whakawhitiwhiti wā-tūturu ki te kupu. Ka tika te AI i te wā e kōrero ana - ka pai ake te tika me te kōrero roa.

Whakamātautau i tō tou kaihautū tuatahi
❤️ E hiahia ana ki te STT.ai? Whakapāpāho ki ōna hoa!
Kua whakamahia e koe ōna whakamāoritanga wātea

Ka whakaingoatia hei wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea mo te wātea

10 wātea min/roa 600 min wātea me te whakaingoatanga Kāore he kāri ā-pūtea Kua whakawaeheretia
Whakapūkete wātea →

Kauhanga me te tohunga

Pāpāhotanga ā-wāhanga

Pāpāho & ihirangi

He mahi motuhake

E pā ana ngā pātai

transcription use cases 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 transcription use cases the same as any other workflow. Paid plans starting at $5/month unlock longer files, private transcripts, and priority queueing.

transcription use cases 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.

transcription use cases 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 transcription use cases 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.

transcription use cases 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 transcription use cases 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 transcription use cases 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.