Transcribe Audio with Word-Level Precision

AI speech-to-text uses neural networks to convert spoken audio into written text. Modern models can accurately handle different accents, speaking speeds, and background noise levels while providing precise word-level timing information.

Voice Creator Pro supports common audio formats including WAV, MP3, and FLAC. No manual conversion is needed — just drop in your file.

Accuracy depends on audio quality, background noise, and the speaker's clarity. Clear recordings in supported languages produce highly accurate results. The model handles accents and varied speaking speeds well.

Every word in the transcription includes its exact start and end time in the audio. This is essential for generating synchronized subtitles, editing audio by text, or building searchable audio indexes.

Yes. The local REST API provides full access to speech-to-text functionality. Submit audio files and receive transcriptions with word-level timestamps in structured JSON format.

Never. All transcription processing happens entirely on your local device. No audio is uploaded, no transcriptions are stored remotely, and no internet connection is required.

There is no hard limit on audio length. Longer files take more time to process, but the app handles hour-long recordings without issues. GPU acceleration significantly speeds up processing.

Windows 10 or later, or macOS with Apple Silicon (M1 or later). A modern GPU (NVIDIA recommended on Windows) provides the best performance. The app runs entirely on your hardware with no cloud dependency. CPU-only processing is also supported.