iZotope RX

Provides a visual spectral editing interface that allows users to isolate and surgically remove specific audio artifacts like clicks, pops, hums, and unwanted sounds by directly manipulating the frequency-time representation of audio.

Uses machine learning to automatically detect and remove background noise from voice recordings while preserving speech clarity and intelligibility. Processes audio in real-time or batch mode.

Provides specialized tools for analyzing, enhancing, and restoring audio evidence or degraded recordings, including noise reduction, clarity enhancement, and artifact removal for forensic purposes.

Allows simultaneous editing and processing of multiple audio tracks with synchronized playback, enabling complex audio restoration and mixing workflows across dialogue, music, and effects.

Converts processed audio to various file formats and quality settings, enabling compatibility with different workflows, platforms, and delivery requirements.

Supports import and export of multiple audio file formats including WAV, MP3, FLAC, and others. Allows conversion between formats while preserving audio quality and applying processing.

Leverages AI to isolate and extract dialogue from mixed audio containing music, sound effects, and background noise, allowing users to work with clean speech tracks separately.

Automatically detects and removes clicks, pops, and other transient artifacts from audio recordings using AI-powered analysis, without requiring manual spectral editing.

Automatically identifies and removes constant hum and buzz frequencies (typically 50/60 Hz and harmonics) from audio recordings without manual frequency identification.

Reduces excessive sibilance (harsh 's' and 'sh' sounds) in vocal recordings through frequency-specific compression or spectral editing, improving vocal clarity and comfort.

Analyzes the ambient room tone or background noise from one audio segment and matches or replaces it in other segments, creating consistent background ambience across edits.

Applies audio restoration and cleanup operations to multiple files simultaneously, enabling efficient processing of large audio projects without manual per-file intervention.

Provides real-time playback preview of audio processing and restoration effects as they are being applied, allowing immediate feedback on parameter adjustments.

Displays audio as a detailed spectrogram showing frequency content over time, enabling visual identification and analysis of audio problems before applying corrections.