jiaaro/pydub

Features

• FFmpeg Wrappers - Acts as a programmatic wrapper for FFmpeg to handle a wide variety of audio decoding, encoding, and format conversions.
• Programmatic Audio Editing - Provides programmatic cutting, slicing, and concatenation of audio segments to automate complex sound sequences.
• Audio File Handling - Loads audio data from various file formats using custom codec or decoder parameters.
• Audio Exporters - Writes audio data to files in various formats with custom metadata tags and bitrate settings.
• Audio Concatenation - Joins multiple audio segments together sequentially to create a single continuous track.
• Audio Mixing - Overlays one audio segment onto another with options to loop the overlay or adjust volume.
• General Format Conversion - Changes audio files between different encodings, sample rates, and channel layouts for cross-platform compatibility.
• Frequency Filtering - Implements high-pass, low-pass, and band-pass filters to isolate or remove specific frequency ranges.
• Audio Slicing - Extracts specific parts of a recording using millisecond-based offsets to isolate segments.
• Decibel-Scale Volume Control - Implements logarithmic decibel math to provide intuitive volume adjustments that match human hearing.
• Python Audio Manipulation Libraries - Provides a high-level Python toolkit for editing, slicing, and converting audio files and segments.
• Raw Sample Manipulation - Provides the ability to manipulate raw audio samples as integer arrays for precise gain and phase operations.
• Sample Format Conversion - Enables changing the sample width, frame rate, and number of channels of an audio segment.
• Temporal Audio Slicing - Enables intuitive audio clip extraction by indexing data using millisecond-based time offsets.
• Gain Controls - Provides programmatic interfaces for adjusting the amplitude and gain of audio segments in decibels.
• Digital Signal Processing Libraries - Provides a library for applying filters, adjusting gain, and removing DC offset from digital sound signals.
• Audio Object Wrapping - Wraps raw audio data in high-level objects to simplify complex operations like slicing and concatenation.
• Audio Channel Decomposition - Provides the ability to decompose interleaved stereo data into separate mono streams for independent processing.
• Audio Channel Layout Conversion - Splits multi-channel audio into mono segments or combines mono segments into a multi-channel track.
• Audio Fades and Crossfades - Provides features to create smooth transitions using fades and crossfades between audio segments.
• Audio Conversion Utilities - Changes audio data from one encoding or container to another, such as converting streams to MP3.
• Sample Buffer Extraction - Provides utilities to retrieve audio samples as raw bytes or numerical arrays for use in external tools.
• Metadata Extraction - Extracts technical format details from audio files, including the codec, bitrate, and channel count.
• Signal Generation - Generates synthetic audio waveforms such as sine waves and white noise.
• Loudness Measurement - Calculates the maximum loudness of an audio segment expressed in decibels relative to full scale.
• Audio Analysis and Synthesis - Extracts metadata and detects silent periods to programmatically split or trim audio files.
• Silence-Based Splitting - Divides audio segments into smaller chunks by cutting at silent intervals.
• Silence Detection - Identifies and locates quiet periods within audio segments using configurable length and volume thresholds.
• Sound Synthesis - Creates synthetic waveforms and layers audio tracks with fades and crossfades for sound design.
• Synthetic Signal Generation - Creates synthetic audio sounds including sine waves, square waves, and white noise.
• Digital Signal Processing - High-level interface for audio manipulation.
• Audio and Video Processing - Manipulates audio files with a high-level, intuitive interface.
• Audio Processing - High-level interface for audio manipulation.
• Audio Video Processing - Listed in the “Audio Video Processing” section of the Awesome Python awesome list.

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