ASCILINE is a high-performance, cross-platform real-time ASCII video rendering engine. Our core objective is to transform the web into a highly dynamic and interactive typographic canvas. By mapping pixels to text-based representations, we unlock new possibilities for web media delivery.

Output	Details
	Original Source Standard MP4 video file.
	ASCII Mode Showcases rendered using Mode 3 (32K Colors) from a 30fps source.
	PIXEL Mode Showcases rendered using Mode 5 (16m Colors) combined with the --pixel flag for ultra-high fidelity.

1. Pure Typographic Manipulation: The visual stream is not a standard media file—it's raw HTML/Canvas text. This makes the impossible possible: you can apply real-time CSS filters (neon glows, text shadows, animations) to video content.
2. Local AI & LLM Ready: By reducing complex pixel streams into structured logical strings, ASCILINE acts as a perfect bridge for AI. Instead of feeding heavy computer vision models, lightweight LLMs can process semantic video summaries.
3. Ultra-Low Bandwidth & IoT Compatibility: Standard codecs (H.264/VP9) choke microcontrollers and weak networks. ASCILINE processes the heavy lifting once on the backend, streaming only a few kilobytes per frame.
4. Bypassing Browser Constraints: Modern browsers aggressively throttle autoplay videos, and ad-blockers restrict traditional media frames. To the browser, ASCILINE is simply "JavaScript updating a canvas"—completely invisible to media restrictions.

• Cross-Platform: Runs seamlessly on Windows, macOS, and Linux.
• Real-Time ASCII Streaming: Low-latency video-to-ASCII conversion.
• Real-Time Pixel Streaming: Replaces characters with colored blocks, approaching 360p video quality.
• High Performance: Uses HTML5 Canvas for rendering, optimized for cinematic 24-30 FPS playback. High-FPS sources are automatically decimated for stability.
• Master Clock Sync: The audio track acts as the absolute master clock, guaranteeing perfect A/V synchronization.
• Zero-Copy Binary Protocol: Frames are streamed as raw binary (Uint8Array) directly to the canvas, saving bandwidth and CPU.
• Multiple Color Modes: Supports everything from classic B&W to 16M color ultra-fidelity.
• Flexible Video Management: Supports JSON playlists (per-video mode & volume), folder-based auto-queuing (filesystem order), single-file mode, and infinite loop playback — all controlled via CLI arguments.

1. Backend (Python/FastAPI): Decodes video using OpenCV, maps pixels to ASCII characters via NumPy, and streams binary data.
2. Frontend (Vanilla JS): Receives binary frames via WebSockets, manages a jitter buffer, and renders to a Canvas grid.
3. Communication: Optimized WebSocket protocol with a custom INIT handshake for dynamic resolution/FPS adjustment.

git clone https://github.com/YusufB5/ASCILINE.git
cd ASCILINE

pip install fastapi uvicorn opencv-python numpy websockets

To enable server-side audio processing (Volume 1-5), you must have FFmpeg installed.

Option 1: Package Manager (Recommended)

• Windows: winget install ffmpeg
• macOS: brew install ffmpeg
• Linux: sudo apt install ffmpeg

Option 2: Manual Installation (Windows) If you get a FileNotFoundError or don't want to modify system variables:

1. Download FFmpeg ZIP.
2. Extract ffmpeg.exe from the bin folder.
3. Drop it directly into your ASCILINE project folder alongside stream_server.py.

Single video:

python stream_server.py video.mp4 --cols 240

Folder mode — drop your videos into videos/ and run:

python stream_server.py --folder videos --cols 200
python stream_server.py --folder videos --cols 230 --loop          # infinite loop
python stream_server.py --folder videos --mode 5 --pixel --cols 320 --vol 2  # all videos same settings

Videos play in filesystem order (top to bottom as they appear in the folder, not alphabetically). Just add/remove files from the videos/ folder to control the queue.

JSON Playlist — full control per video:

python stream_server.py --playlist playlist.json --cols 220
python stream_server.py --playlist playlist.json --cols 220 --loop

Use playlist.json when you need different --mode or --vol settings for each video.

💡 Windows Users: You can use the included serve.bat shortcut for quicker typing: .\serve video.mp4 --cols 240

Open http://localhost:8000 in your browser.

If you prefer to bypass the web interface, you can render the video directly inside an ANSI-supported terminal (zero-flicker, true color):

python ascii_video_player2.py video.mp4 --cols 100 --quality 0

💡 Windows Users: Use the shortcut .\play video.mp4 -c 100 -q 0

⚠️ Note: Do not resize your terminal window during playback, as dynamic text wrapping will corrupt the ASCII layout.

You can easily customize the look and feel of the engine:

Edit style.css to change the accent colors and typography using CSS variables:

:root {
    --accent-color: #00ff41; /* Classic Matrix Green */
    --bg-color: #050505;
}

The engine supports different fidelity levels via the --mode flag:

• 1: Black & White (DOM mode)
• 2: 512 Colors
• 3: 32K Colors
• 4: 262K Colors
• 5: 16M Colors (Ultra)

python stream_server.py --mode 5 --cols 240 --rows 100

By default, you only need to specify the width (--cols). ASCILINE will automatically calculate the correct --rows based on the source video's aspect ratio to prevent stretching.

• ASCII Mode Recommended: --cols 200 to --cols 240 (Best balance of text detail and cinematic 30 FPS performance).
• Pixel Mode Recommended: --cols 600 to --cols 900 (Provides near-HD visual quality. Performance heavily depends on your machine's CPU/VRAM).

• Smart Defaults: If you do not specify a --cols value, ASCILINE automatically defaults to 450 when Pixel Mode is enabled, and 200 for standard ASCII text mode.

• ⚠️ Hardware Limits & A/V Sync: If you push the --cols too high for your specific hardware (e.g., 1350 on a laptop vs a gaming desktop), the Python backend won't be able to encode and send the massive frames fast enough. When the video stream lags behind the audio, you will experience A/V desync (audio finishing early). If this happens, simply lower your --cols value!

python stream_server.py video.mp4 --mode 5 --cols 240
# Terminal will show: [AUTO] 1920x1080 → grid 240x67

Volume is controlled at the server level via the --vol flag (scale 0–5). When set to 0, the audio engine (FFmpeg) never runs, saving CPU and bandwidth.

python stream_server.py video.mp4 --pixel --cols 560 --vol 0   # Silent
python stream_server.py video.mp4 --cols 220 --vol 3   # Loud

Each entry can override the global --mode, --pixel, --vol, and --cols defaults:

[
    { "video": "intro.mp4",  "mode": 1, "vol": 1 },
    { "video": "main.mp4",   "mode": 5, "pixel": true, "vol": 3, "cols": 520 },
    { "video": "outro.mp4",  "mode": 3, "vol": 2, "cols": 240 }
]

Video paths are resolved automatically — the engine checks the project root and the videos/ subfolder, so you can write just the filename.

MIT License (with Anti-Ad Restriction)

ASCILINE is distributed under the MIT License, but with a strict ethical guardrail. Because this engine bypasses standard browser constraints and ad-blockers (by rendering pure text instead of video), we strictly prohibit its use by ad-networks to serve unblockable advertisements.

See the LICENSE file for the full text, which includes the ANTI-ADVERTISEMENT RESTRICTION clause.