kprii/video-to-ascii — explained in plain English
Analysis updated 2026-05-18
Convert a video clip into a stylized ASCII art video for sharing online.
Preview and tweak column count and font size before exporting a final ASCII video.
Batch convert videos to ASCII art from the command line without opening the GUI.
| kprii/video-to-ascii | 0xallam/my-recipe | 0xhassaan/nn-from-scratch | |
|---|---|---|---|
| Stars | 0 | — | 0 |
| Language | Python | Python | Python |
| Last pushed | — | 2022-11-22 | — |
| Maintenance | — | Dormant | — |
| Setup difficulty | easy | moderate | moderate |
| Complexity | 2/5 | 2/5 | 4/5 |
| Audience | vibe coder | general | developer |
Figures from each repo's GitHub metadata at analysis time.
Requires a monospace font installed on your system for correct ASCII rendering.
Video to ASCII takes a video file and turns it into a real .mp4 video where every single frame has been converted into ASCII art, meaning the picture is redrawn using text characters instead of normal pixels. It comes with a graphical interface so you can pick a video, run the conversion, and watch a preview of the result without leaving the app. Under the hood, the tool reads the source video frame by frame using OpenCV, a library for working with images and video. Each frame is converted to grayscale and then mapped onto a grid of ASCII characters. That character mapping is done with numpy, a numerical computing library, which keeps the process fast even though it is processing many frames. Once every frame has been converted, the tool reassembles them into a finished output video. The graphical interface, built with Tkinter, lets you choose the source video and where the output should be saved, adjust how many columns of ASCII characters to use and the font size, watch a progress bar while conversion runs, and play back the finished video right inside the app once it is done. If you prefer, the same conversion can be run from the command line instead, passing the input file, output file, column count, and font size as options. To use it you need Python 3.9 or newer and a monospace font installed on your system, such as Consolas on Windows, DejaVu Sans Mono on Linux, or Menlo on macOS. Setup involves cloning the repository and installing three Python packages: opencv-python, pillow, and numpy. The project is organized into a conversion script that can be used from the command line or imported elsewhere, and a separate script for the graphical interface. The author notes a few possible future improvements, including colored ASCII rendering, speeding up the Pillow drawing step which is currently the slowest part, and adding export options like animated GIFs or plain text per frame. The project is released under the MIT license, which allows free use for any purpose, including commercial projects, as long as you keep the copyright notice.
A desktop tool that converts any video into a new video where each frame is redrawn as ASCII text art, with both a graphical interface and a command line mode.
Mainly Python. The stack also includes Python, OpenCV, numpy.
Use freely for any purpose, including commercial use, as long as you keep the copyright notice.
Setup difficulty is rated easy, with roughly 30min to a first successful run.
Mainly vibe coder.
This repo across BitVibe Labs
Verify against the repo before relying on details.