FFmpeg Automation: Prototyping Video Editing with Python - Episode 179
3In this video, I take you through my process of automating video editing tasks with FFmpeg and Python, specifically for my Glowing Telegram project. We focus on transforming cut lists into executable FFmpeg commands, aiming to streamline the tedious aspects of creating YouTube-ready videos from Twitch streams. I discuss challenges like handling multiple audio tracks, applying transitions, and concatenating video segments while experimenting with FFmpeg's powerful capabilities.
After building a foundational script to merge video files, I demonstrate debugging and iteratively adding features like intro and outro sequences, transitions, and audio normalization. Along the way, I reflect on FFmpeg's potential to replace manual video editing workflows currently performed in DaVinci Resolve. The goal here is to develop a robust, automated pipeline—integrated with AWS—that simplifies the production of VODs and other content for YouTube.
If you're interested in Python scripting, FFmpeg, or automating video editing processes, this session is packed with insights and debugging tips to help you get started.
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