Websäit vum Mikrofilm
Test Äre Mikrofon an e puer Sekonnen. Kontrolléiert ob et funktionnéiert, kuckt den Audiopegel an héiert d'Wiedergabe. Keng Installatioun néideg.
Klick hei ënnen fir de Mikrofon ze testen
Opnahmen:
Mikrofondetailer
| Gerät | - |
| Sample-Rate | - |
| Kanäl | - |
| Latenz | - |
| Browser | - |
Problemléisung
Mikrofon net erkannt?
- Kontrolléiert ob Äre Mikrofon ugeschloss an ugeschloss ass
- Klickt op d'Schloss/Kamera-Symbol an der Adressleiste vum Browser an erlaabt de Mikrofonzugang
- Kontrolléiert Är System-Toneinstellungen - gitt sécher, datt d'richtegt Input-Gerät ausgewielt ass
- Probéiert en anere Browser (Chrome funktionnéiert am beschten fir Audio)
- Aner Uwendungen déi de Mikrofon vläicht benotze beenden
Niddreg Volumen?
- Mikrofon
- D'Input-Lautstärke an Äre System-Tone-Einstellungen erhéijen
- Kontrolléiert ob Äre Mikrofon eng physikalesch Musek-Knäppchen huet
Mikrofon funktionéiert? Versuch Är Stëmm ze transkriiwen:
Ophuelen & TranskribenHäufig gestallte Froen
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.