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haltakov

natural-language-youtube-search

Search inside YouTube videos using natural language.

ApplicationsOtherJupyter Notebook
Open on GitHub
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+0stars in 24 hours0.0%
936
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70
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3
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Created 2021-02-01 · Updated 2026-10-02 · #12531 today
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haltakovAK391matiastucci

haltakov/natural-language-youtube-search is ranked 12,531 with 936 stars.

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haltakov/natural-language-youtube-search is ranked 12,531 among these 8 peers; 777genius/claude-code-source-code is ranked 12,532.

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Key parameters and specifications
Key parameters and specifications
ParameterValue
LanguageJupyter Notebook
CategoryApplications
SubcategoryOther
KeywordsSearch
Stars936
Forks70
Contributors3
Created date2021-02-01
Updated date2026-10-02
Stars in 1 day0
Stars in 7 days0
Rank12,531
Previous rank12,454
Rank change-77
7-day stars rank13,473
Previous 7-day stars rank13,483
7-day stars rank change10
Total stars rank11,720
Previous total stars rank11,703
Total stars rank change-17
CountryGermany
README summary

Natural Language YouTube Search Use OpenAI's CLIP neural network to search inside YouTube videos. You can try it by running the notebook on Google Colab. Encode a natural language search query using CLIP 5. Find the images that best match the search query For more details see the notebook. Examples Here are some example searches from this YouTube video of a car driving around San Francisco. "A fire truck" "Road works" "People crossing the street" "The Embarcadero" "Waiting at the

red light" "Green bike lane" "A street with tram tracks" "The Transamerica Pyramid" Natural language search on Unsplah You can also try my other project to search from 2M photos on Unsplash using natural language queries: Natural Language Image Search

Frequently asked questions

How many stars and forks are recorded?

haltakov/natural-language-youtube-search has 936 stars and 70 forks.

What is the repository rank?

haltakov/natural-language-youtube-search is ranked 12,531.

What language and category are recorded?

haltakov/natural-language-youtube-search has 936 stars, uses Jupyter Notebook and belongs to Applications.

Which repository is closest in rank?

haltakov/natural-language-youtube-search is compared with 777genius/claude-code-source-code, ranked 12,532 with 935 stars.

README

Natural Language YouTube Search

Use OpenAI's CLIP neural network to search inside YouTube videos. You can try it by running the notebook on Google Colab.

New

How it works

  1. Download the YouTube video
  2. Extract every N-th frame
  3. Encode all frames using CLIP
  4. Encode a natural language search query using CLIP
  5. Find the images that best match the search query

For more details see the notebook.

Examples

Here are some example searches from this YouTube video of a car driving around San Francisco.

"A fire truck"

"Road works"

"People crossing the street"

"The Embarcadero"

"Waiting at the red light"

"Green bike lane"

"A street with tram tracks"

"The Transamerica Pyramid"

Natural language search on Unsplah

You can also try my other project to search from 2M photos on Unsplash using natural language queries:

Natural Language Image Search

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