AI-Compatible Encoded Video Format for Text-Based Interpretation

Idea:
I recently had an idea that could help AI models interpret video content without directly viewing or listening to it. The concept is inspired by how visually impaired individuals use Braille — a tactile language made of patterns. Imagine a standardized, highly descriptive text-based format that represents each frame and sound segment of a video in structured “AI-readable” code.

For example:

[00:13:52 - 00:14:03]
Visual: A man smiles at the camera, standing in front of the ocean.
Audio: Sound of waves crashing, followed by laughter.
Text on screen: “Welcome to the show!”

This format could allow AI to “understand” and comment on videos, recognize context, and even summarize content without needing to process raw pixels or sound waves. It would also be a massive step forward for accessibility technologies.

Use Cases:

Making video content accessible to AI for summarization or moderation.

Helping visually impaired users interact with visual content.

Creating a new layer of metadata for advanced search and indexing.

I’m not a developer myself, but I’d love to see this idea explored further by the community. What do you think?