Free Speech i ka hua'ōlelo Online
Hoʻololi i ka leo i ka huaʻōlelo me ka hoʻololi ʻana i ka AI. Hoʻouka i nā faila leo, hoʻopaʻa i kāu microphone, a i ʻole e hoʻopaʻa i kahi URL. 100+ mau ʻōlelo, 10+ mau ʻano, 98% + ka pololei.
1. Hoʻouka i ka Recording Speech
Hoʻouka i kahi faila leo a i ʻole wikiō, kāpili i kahi URL, a i ʻole hoʻopaʻa i ka ʻōlelo mai kāu kīwī.
2. AI Hoʻololi i ka ʻōlelo i ka hua'ōlelo
E koho mai i nā ʻano 10+ AI. Hoʻomaopopo ʻana i ka mea kākau a me ka ʻōlelo hoʻopilikino ʻia.
3. Export Your transcript
Hoʻoiho i nā ʻano 6. Hoʻokaʻawale i nā loulou transcript me ka pāʻani leo.
Kahu
E koho i ka hoʻolālā AI e pili ana i kāu mau pono - a i ʻole e koho mākou i ka mea maikaʻi loa.
Ka Hoʻolaha i ka hua'ōlelo i 100+ Languages
Ka hoʻohana 'ana i nā hihia
E hoʻololi i ka hua'ōlelo i ka hua'ōlelo?
Ke hoʻomaka nei i ka manuahi →Nā nīnau i nīnau pinepine ʻia
Hoʻololi ka hoʻolaha i ka hua'ōlelo (i kapaʻia hoʻi he hoʻomaopopoʻana i ka'ōlelo a iʻole ASR) i ka leo i ka'ōlelo i kākauʻia. STT.ai e hoʻouka i kāu hoʻopaʻa leo ma o kahiʻano AI e ʻike ana i ka leo a me nā hua'ōlelo e hoʻoponopono ai me nā hua'ōlelo a me nā hua'ōlelo -ʻaʻole pono e kākau.
Hoʻonohonoho ka hoʻolālā acoustic i ka ʻano o ka leo i nā leo, a laila hoʻonohonoho ka hoʻolālā ʻōlelo i nā huaʻōlelo a me nā huaʻōlelo i hiki ke loaʻa. STT.ai e hana ana i kēia ma GPU me nā ʻano e like me Whisper Large V3 a me NVIDIA Canary, no laila, ʻo ka hoʻopaʻa ʻana i kahi hola i ka 2-3 mau minuke.
ʻAe. Hāʻawi ʻia nā minuke manuahi 600 i kēlā me kēia mahina i kēlā me kēia malihini kipa me ka ʻole o ka hoʻopaʻa inoa e pono ai no kāu faila mua. Hoʻomaka nā papa hana i uku ʻia ma $ 5 / mahina a hoʻohui i nā faila lōʻihi, nā transcripts pilikino a me ka hoʻouna ʻana i nā mea hoʻouna.
On clean speech our best models reach 95-97% accuracy (a 3-5% Word Error Rate on benchmarks). Accuracy drops with background noise, heavy accents, crosstalk, or low-bitrate audio — using a decent microphone and a quiet room makes the biggest difference.
Yes. Speak into your microphone and STT.ai streams the transcript live via the live-transcription tool. You can also upload a finished recording for batch transcription if you don't need it word-by-word as you talk.
STT.ai recognizes 100+ languages and auto-detects the spoken language for most audio. You can also set the language manually for a small accuracy lift, and mixed-language recordings are handled by switching mid-clip.
Yes. Speaker diarization labels each voice (Speaker 1, Speaker 2, ...) and you can rename them in the editor. This works across every supported model and language.
STT.ai accepts 20+ formats including MP3, WAV, M4A, FLAC, OGG, MP4, MKV, MOV, WebM, and AVI. Output to TXT, SRT, VTT, DOCX, JSON, or PDF.
Speech to text transcribes WHAT was said into words; voice recognition (speaker identification) determines WHO said it. STT.ai does both — transcription plus speaker diarization — but the terms describe different tasks.
Yes. Audio is processed and deleted by default. Pro plans add client-side encryption so transcripts are unreadable without your key, even to STT.ai, and your data is never used for model training without explicit opt-in.
Yes. STT.ai has a REST API with Python and Node.js SDKs plus an MCP server for Claude and Cursor. The free API tier includes 100 minutes/month, with per-second billing beyond that.
Yes. Every transcript opens in a built-in editor where you can fix misheard words, rename speakers, adjust timestamps, and add notes. Edits persist across every export format.