Update README with ASCII MOD compatibility note

This commit is contained in:
SteadyW 2026-06-12 16:32:08 +03:00 committed by GitHub
parent 5145abffaa
commit 8247b1e4ac
No known key found for this signature in database
GPG key ID: B5690EEEBB952194

View file

@ -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