Exploring how location extraction from video content behaves across different formats

I’ve been experimenting with extracting structured location data from video content and noticed some interesting behavior patterns. The goal is to take a shared video link and identify real-world locations mentioned or shown, then normalize them into structured entities. High-level flow: Input: video URL Processing: LLM + lightweight vision-based analysis Output: extracted locations → normalized → geocoded </ul