Prouadoù ar mikroc' harnerioù enlinennName
Arnodiñ ho mikrofoñs en eilennoù. Gwiriekaat hag-eñ eo o labourat, gwelout live an audio, ha selaou ar seniñ. N'eus ket ezhomm staliañ.
Klikit amañ a-us evit arnodiñ ho mikro
Sellit ouzh ho enrolladur :
Munudoù ar mikroc' hoarier
| Trobarzhell | - |
| Feur ar standilhonañ | - |
| Kanol | - |
| Lazhañ | - |
| Furcher | - |
Dizraenañ
N' eo ket dizoloet ar mikrofon?
- Gwiriañ eo enluget ha gweredekaet ho mikro
- Klikit war an arlun prennañ/kamera e varrenn chomlec'h ho furcher hag aotreet eo an darempred gant ar mikro
- Gwiriekaat kefluniadur ho reizhiad son - gwiriañ eo bet diuzet an drobarzhell enankañ reizh
- Klaskit ur furcher all (Chrome a labour ar muiañ evit an audio)
- Serriñ an arloadoù all a c'hellfe bezañ o arverañ ar mikro
Nerzh izel?
- Dilec'hiañ ouzh ar mikro
- Kreskiñ nerzh an enkas e kefluniadur ar sonoù
- Gwiriekaat hag-eñ eo bet lakaet un afell muzul war ho mikrofon
Mikrofon o labourat? Klaskit amdroc'hañ ho c'hensonenn :
Enrollañ & amdroiñGoulennoù a vez goulennet alies
microphone testing 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 microphone testing the same as any other workflow. Paid plans starting at $5/month unlock longer files, private transcripts, and priority queueing.
microphone testing 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.
microphone testing 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 microphone testing 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.
microphone testing 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 microphone testing 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 microphone testing 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.