diff --git a/README.md b/README.md index 085322c..fd30b73 100644 --- a/README.md +++ b/README.md @@ -12,7 +12,7 @@ 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. +3. **Ultra-Low Bandwidth & IoT Compatibility (for ASCII MOD)**: 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. ## 🚀 Technical Features