Mikrofontest på nett
Test mikrofonen din på nokre sekunder. Sjekk om han verkar, sjå lydnivået, og høyr avspelinga. Ingen installasjon er nødvendig.
Trykk nedanfor for å testa mikrofonen
Lytt til opptaket ditt:
Mikrofondetaljar
| Eining | - |
| Samplingsrate | - |
| Kanalar | - |
| Forseinking | - |
| Nettlesar | - |
Feilsøking
Mikrofonen vart ikkje oppdaga?
- Sjå til at mikrofonen er kopla til og slått på
- Klikk på låse-/kameraikonet i adressefeltet i nettlesaren og la mikrofonen få tilgang
- Kontroller systemlydinnstillingane dine - pass på at rett inndataeining er vald
- Prøv ein annan nettlesar (Chrome fungerer best for lyd)
- Lukk andre program som kan bruka mikrofonen
Låg lydstyrke?
- Flytt nærare mikrofonen
- Auk innlydstyrken i systemlydoppsettet
- Kontroller om mikrofonen har ein fysisk demp-knapp
Mikrofonen fungerer? Prøv å transkribera stemmen din:
Ta opp og transkriberOfte stilte spørsmål
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.