Whisper-grade transcription, online, no code, no install
Love the accuracy of OpenAI's Whisper but not the setup? Upload audio or video in your browser and get an accurate, speaker-labeled transcript in minutes, plus subtitles, translation, and an API the open-source model doesn't include.
Try it now, no signup
Record live or drop in a file (up to 30 MB) and watch it transcribe.
Tap to start recording from your microphone
OpenAI's Whisper is a powerful open-source speech model, but running it yourself means Python, command lines, GPUs, and no speaker labels or interface. RealtimeVoiceKIT gives you the same kind of state-of-the-art accuracy as a finished product: drop in a file and get clean, time-coded text with automatic speaker labels, confidence scores, and one-click export, nothing to install.
Who uses Whisper online
People who tried raw Whisper
Skip the Python environment, model downloads, and GPU bills, get the same caliber of transcript in your browser.
Creators & podcasters
Turn episodes and videos into accurate transcripts, show notes, and captions without touching a terminal.
Researchers & students
Transcribe interviews and lectures into searchable, quotable notes with speaker labels Whisper alone won't give you.
Developers
Want Whisper-grade results without hosting a model? Call a clean REST API with rtvk_ keys instead.
What you get that raw Whisper doesn't
How it works
Upload
Drag in audio or video, MP3, WAV, M4A, MP4 and more, or paste a URL. No setup, no command line.
Transcribe
Our AI processes the file, separates speakers, and produces a clean, time-coded transcript with confidence scores.
Export
Download text, SRT, or VTT, translate to another language, or pull results via the API.
Frequently asked questions
Is this the same as OpenAI Whisper?
RealtimeVoiceKIT is a managed transcription product that delivers the same kind of state-of-the-art accuracy you'd expect from a top open-source model, without the setup. You get a finished app with speaker labels, subtitles, and translation rather than a raw model to host yourself.
Do I need to install anything or write code?
No. Everything runs in your browser. Upload a file or paste a URL and you get a transcript back, no Python, no GPU, no command line. Developers can optionally use the REST API.
Can it label different speakers?
Yes. Automatic speaker diarization detects who said what and labels each speaker, something the open-source Whisper model does not do on its own.
Is there a free option?
Yes. 10 minutes of transcription every month, free, with speaker labels and subtitle export and no credit card required.