Decibel-Based Video Trimmer
A Python tool that detects sections below a defined sound level and removes them from a video.
Challenge
Finding and removing silent or very quiet sections in long video recordings by hand was time-consuming.
Approach and architecture
The tool analyses the audio level against a defined dBFS threshold and removes sections below that value. It solves a clearly bounded task without turning it into an unnecessarily large platform.
Outcome and current status
The intended function is complete and the tool can be used with suitable video files.
Available materials
This project is not publicly accessible. I can present selected views and technical details in an appropriate professional discussion.
Technologies used
- Python
- ffmpeg
- pydub