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Hoʻololi i nā leo a me nā wikiō i ka huaʻōlelo i nā ʻōlelo 100 +. 10 + nā ʻano AI.

9.2K
Ka hoʻoili
233.1K
minuke
100+
ʻO nā ʻōlelo
70+
nā pono hana manuahi

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

Hoʻonui no ka hoʻonui
Ka hoʻoili pilikino
Kāhea me ka transcript
Hoʻokuʻu me Pro →
E hoʻokuʻu i ka faila i kēia wahi a i ʻole kaomi e kaomi
ʻO nā mea hoʻohana e hoʻohana i nā ʻano leo like ʻole e like me MP3, WAV, M4A, FLAC, MP4, MKV, MOV, WebM — a hiki i 2GB
Hoʻonui no ka hoʻonui
Ka hoʻoili pilikino
Kāhea me ka transcript
Hoʻokuʻu me Pro →
Hoʻonui no ka hoʻonui
Hoʻoili: 0:00
Ka manawa maoli Wai (mālama)
Hoʻonui Whisper (hoʻokō)
Nā loulou lehulehu: 24h, ka hua'ōlelo wale nō · E hoʻopaʻa inoa no 7d + leo · Pro no nā loulou pilikino

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.

Hoʻāʻo i kou leo i mua
❤️ E aloha STT.ai? E haʻi i kou mau hoaaloha!
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.

10 min / lā manuahi 600 min manuahi me ka hoʻopaʻa inoa Kāleka kāleka Hoʻopunipuni
E hoʻopaʻa inoa no ka manuahi →
Hoʻouka kāleka hōʻailona — Hoʻouna ʻia kāu mau hoʻololi i kāu kahawai. ʻAʻole hiki iā mākou ke heluhelu iā lākou. E aʻo pehea e hana ai →

Hoʻohiki ʻia e nā mea loea ma ka honua holoʻokoʻa

Pehea STT.ai Nā hana

ʻEkolu mau kaʻina hana no ka hoʻololi ʻana i ka ʻike

1. Hoʻouka, Record, a i ʻole Pee URL

Hoʻouka a hoʻouka i nā faila leo a i ʻole wikiō (MP3, WAV, MP4, a me nā ʻano 20+). Hoʻopaʻa i kāu microphone i ka manawa maoli. A i ʻole e hoʻopaʻa i kahi loulou mai YouTube, Vimeo, TikTok, a me nā papa 1,300 +.

2. AI Transcribes me kou koho o ka Model

E koho mai i nā ʻano 10+ AI e like me Whisper, NVIDIA Canary (#1 accuracy), a me Moonshine. Hoʻomaopopo i ka ʻōlelo mai nā koho 100+ i ka manawa like.

3. Export, Share, a i ʻole Integration

Hoʻoiho i ka TXT, SRT, VTT, DOCX, JSON, a i ʻole PDF. Hoʻokaʻaʻike ma o ka loulou. Hoʻohana i kā mākou API e hoʻohui i ka hoʻololi ʻana i kāu noi. Hoʻokō no nā ʻōlelo aʻoaʻo, nā ʻōlelo aʻoaʻo, nā podcasts, a pēlā aku.

100+
Nā'ōlelo i kākoʻoʻia
70+
Nā Hana
1,300+
Hoʻohana
7
Ka hoʻouna ʻana i nā ʻano

Ka mea hoʻomohala-ʻOihana

Hoʻohui i ka ʻōlelo-i-ka huaʻōlelo i kāu noi i nā minuke. RESTful API me ka WebSocket streaming real-time.

REST + WebSocket — Hoʻouka i nā faila a me ka hoʻoili manawa maoli
He nui nā hōʻailona — Whisper, Canary, Hoʻonui a me nā mea hou aku
Ka hoʻopāpāho leo — Hoʻohuli-hoʻohuli i ka mea i'ōlelo ai
Ka huaʻōlelo — JSON, TXT, SRT, VTT me nā hua'ōlelo
import requests

response = requests.post(
    "https://api.stt.ai/v1/transcribe",
    headers={"Authorization": f"Bearer {API_KEY}"},
    files={"file": open("meeting.mp3", "rb")},
    data={
        "model": "large-v3-turbo",
        "language": "auto",
        "diarize": "true",
        "response_format": "json",
    },
)

result = response.json()
for seg in result["segments"]:
    print(f"{seg['speaker']}: {seg['text']}")

E hoʻouna i ka leka uila?

Hoʻouka i kāu faila mua no ka manuahi. ʻAʻohe kāleka hōʻaiʻē, ʻaʻohe kau inoa. 600 mau minuke i kēlā me kēia mahina ma ka papa inoa manuahi.

Ke hoʻomaka nei i ka hoʻokalakupua

Nā nīnau i nīnau pinepine ʻia

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

speech to text 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.

speech to text 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 speech to text 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.

speech to text 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 speech to text 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 speech to text 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.