video-creator

Automating video creation from images and TTS narration involves using Python scripts and ffmpeg to coordinate image sequencing, edge-tts voice synthesis, subtitles, and transitions before rendering the final synchronized video.

To generate videos with ffmpeg and edge-tts, you need Python 3.10 or higher, along with the edge-tts and PyYAML dependencies installed in your environment to validate per-image durations against narration timestamps before rendering.

Yes, you can use automated video generation for educational tutorials, product demonstrations, and social clips. The skill coordinates TTS voices, image sequencing, transitions, subtitles, and outros to ensure audio-visual synchronization for these specific use cases.

The video maker validates audio and image synchronization by checking per-image durations against narration timestamps. It performs these alignment checks before rendering to ensure the final video maintains precise audio-visual sync.

The best way to add subtitles and outros to TTS videos is using a YAML configuration file to define these elements. The skill automates the integration of subtitles, logo outros, and background music during the ffmpeg rendering process.