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.

With the desktop app, all transcription processing happens entirely on your local device. No audio is uploaded and no internet connection is required. With Voice Creator Pro Cloud, your audio is processed on our servers and is never used for model training.

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

For the desktop app: Windows 10 or later, or macOS with Apple Silicon (M1 or later). A modern GPU (NVIDIA recommended on Windows) provides the best performance. CPU-only processing is also supported. Voice Creator Pro Cloud runs entirely in your browser with no special hardware required.