ascii-video

You can convert video to ASCII art by loading your media into a six-stage pipeline that performs feature analysis, scene rendering, adaptive tone mapping, shader post-processing, and ffmpeg encoding to output full-color ASCII video with per-character RGB rendering.

Yes, you can generate audio-reactive ASCII music visualizers from audio files. The pipeline analyzes audio features and synchronizes generative animations, beat-synced particles, and shader effects to produce a dynamic ASCII video output.

Yes, generating ASCII video requires Python 3.10+, NumPy, Pillow, SciPy, and ffmpeg. These dependencies drive the vectorized numpy effects, font rasterization, and parallel multi-worker encoding required for rendering 1080p output.

The best way to add timed lyrics or TTS narration to terminal art video is using the built-in generative pipeline modes, which support karaoke-style lyrics and TTS-narrated animations alongside hybrid media overlays and shader post-processing for cinematic output.

1080p ASCII video generation is highly optimized, achieving 100-200ms per frame. It uses hardware-adaptive quality profiles, vectorized numpy effects, pre-rasterized font bitmaps, and parallel multi-worker rendering to maintain performance.

While the pipeline supports 38 composable shaders, 20 pixel blend modes, and feedback buffers for temporal recursion, complex combinations may increase rendering overhead despite the hardware-adaptive quality profiles and vectorized numpy effects.