Kituo cha Kuchunguza Chembe za Kompyuta
Chunguza kikuza - sauti chako kwa sekunde chache.
Bonyeza chini ili uweze kupima vikuza - sauti vyako
Sikiliza rekodi yako:
Picha ndogo - ndogo
| Kifaa | - |
| Kiwango cha Sampuli | - |
| Mitaro | - |
| Kuchelewa | - |
| Browser | - |
Matatizo yanayozuka
Je, vifaa vya sauti havigunduliwi?
- Hakikisha kwamba kikuza - sauti chako kimewekwa ndani na kupinduliwa
- Bonyeza picha ya kufuli/mnara kwenye anwani yako kwenye baa na uruhusu maikrofoni
- Chunguza vipimo vya mfumo wako vya sauti - hakikisha kwamba kifaa sahihi cha kompyuta kimechaguliwa
- Jaribu kifaa tofauti cha kunasa sauti (Chrome hufanya kazi vizuri zaidi kwa ajili ya sauti)
- Funga programu nyingine ambazo huenda zikawa zinatumia kikuza - sauti
Ni buku la chini?
- Songa karibu zaidi na kikuza - sauti
- Ongeza kiasi cha habari katika hali za mfumo wako za sauti
- Chunguza ikiwa silinda yako ina vifungo vya mwili visivyotoa sauti
Je, unaongea kwa sauti ndogo? Jaribu kunakili sauti yako:
Rekodi na UandishiMaswali Ambayo Watu Huuliza Mara Nyingi
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.