Maps Mania: Robotically Mapping YouTube Movies


YouTube is an unimaginable useful resource for locating new locations, whether or not by journey vlogs, historic documentaries, or guided strolling excursions. Nevertheless, manually noting down areas talked about in a video could be time-consuming and inefficient. What if there have been a better method to extract and map these areas routinely?

Utilizing the allStara Video AI

The allStara Video AI provides a number of options to research and extract data from YouTube movies. One obtainable possibility is to “extract areas from a video and save them as a map for journey planning.”

Utilizing the AI is straightforward – simply enter the YouTube URL of a video and press the ‘Begin Places Extraction’ button. allStara then generates a GeoJSON file containing all of the areas talked about within the video and gives a shareable hyperlink to a Leaflet.js-powered map of the extracted areas.

Whereas allStara appears to work nicely with the brief default video URL supplied, I had no success in two makes an attempt with longer movies (one was 5 minutes and eight seconds lengthy, and the opposite was 26 minutes and 5 seconds lengthy). In each circumstances, allStara took over 5 minutes to course of the movies however finally returned empty outcomes, failing to extract any areas.

I really like the thought of mapping areas talked about in movies, however sadly, allStara appears to be inconsistent. Going ahead, it will even be helpful to incorporate timestamps for every location within the generated GeoJSON file.

Utilizing DeepSeek

Since my try to make use of allStara to map John Rogers’ strolling tour of Clerkenwell was unsuccessful, I made a decision to strive DeepSeek to generate my very own map.

  1. DeepSeek immediate:- ‘Extract all of the areas talked about on this video transcript (most needs to be in London) after which create a GeoJSON file with all of the areas.  – {video transcript}
  2. In about 40 seconds DeepSeek created a GeoJSON file with the coordinates of 38 areas it had extracted from the video.
  3. I then copy & pasted the GeoJSON textual content into geojson.io to create the map (proven under) displaying the areas talked about in John Roger’s strolling tour of Clerkenwell.
map of Clerkenwell London with 38 markers



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