Audio Trimmer
FFmpeg PoweredTrim audio clips by time range with precision
Drag & drop files here, or click to select
Supports MP3, WAV, OGG, M4A, FLAC and other common formatsHow to Use
- Click the area above to select a file, or drag and drop a file onto the page
- Adjust parameters in the settings area
- Click the process button and download the result when ready
Frequently Asked Questions
How It Works
The Audio Trimmer uses FFmpeg WebAssembly with the -ss (start time) and -to / -t (end time / duration) parameters to cut audio segments. The tool supports stream copy mode for fast, lossless trimming and re-encoding mode for frame-accurate precision.
In copy mode, FFmpeg seeks to the nearest sync point before your start timestamp and copies audio packets directly. This is nearly instantaneous but may start a few milliseconds before your specified time. In re-encode mode, the entire audio is decoded and re-encoded from your exact timestamps, providing sample-level accuracy.
The tool supports multiple segments — you can define several start/end pairs and FFmpeg will extract each segment. All segments are automatically merged using the concat filter, with gaps between segments removed. The output maintains the original sample rate, bitrate, and channel configuration.
Tips & Best Practices
- Use copy mode for speed: Unless you need exact sample precision, copy mode is 50x faster with identical quality.
- HH:MM:SS.ms format for precise cuts: e.g., 01:23.456 starts at 1 minute 23.456 seconds.
- Multi-segment trimming: Extract multiple clips from one audio file in a single processing pass for efficiency.
- Check audio visually: If available, look at the waveform to identify silent gaps and speech boundaries for accurate cut points.
- Avoid cutting mid-word: Make cuts during silence or at natural pauses to avoid jarring audio transitions.
- Test with short segments first: Verify your start/end times produce the desired result before processing the full file.
Use Cases
Podcast editors trimming dead air, mistakes, and tangential discussions from recorded episodes to create tight, engaging content.
Music producers extracting specific sections (chorus, verse) from songs for sampling or remixing projects. Ringtone creators cutting the best 30-second section from a full song. Audio archivists trimming relevant interviews from long field recordings. Voice-over artists isolating the best takes from raw recording sessions. Lecture editors extracting key educational segments from hour-long class recordings for review materials.