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Youtube Video Summarizer with Mind Map

Get YouTube video summaries with visualization mind maps in just one click.
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Youtube Video Summarizer with Mind Map
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Introduction

gptXcc is an innovative AI-powered platform that revolutionizes the way users interact with YouTube content. By leveraging advanced AI technologies, gptXcc transforms lengthy videos into concise, easy-to-understand mind maps. This tool enables efficient learning and quick comprehension of complex information, making it an invaluable resource for students, professionals, and anyone seeking to optimize their online learning experience.

Feature

Seamless YouTube Integration

gptXcc integrates effortlessly with YouTube, allowing users to generate mind maps from videos with just a single click. This feature streamlines the process of content summarization and enhances the overall user experience.

Rapid Mind Map Generation

Using cutting-edge AI technology, gptXcc can auto-generate comprehensive mind maps in a mere 15 seconds. This quick turnaround time ensures that users can access summarized content almost instantly.

Comprehensive Content Representation

The platform provides a clear and organized representation of video content, including:

  • Structure
  • Topics
  • People mentioned
  • Timeline

This detailed breakdown allows users to grasp the essence of the video quickly and efficiently.

Time-Efficient Learning

By condensing lengthy videos into easily digestible mind maps, gptXcc enables users to absorb essential information in a fraction of the time it would take to watch the entire video.

Free Access

gptXcc is offered as a free extension, with no subscription fees required. This makes it accessible to a wide range of users, regardless of their budget constraints.

Cross-Browser Compatibility

The tool is compatible with all major web browsers, including:

  • Google Chrome
  • Mozilla Firefox
  • Microsoft Edge

This ensures that users can access gptXcc's features regardless of their preferred browsing platform.

FAQ

How does gptXcc work?

gptXcc utilizes advanced AI technology to analyze YouTube videos and generate mind maps. The process involves:

  1. Single-click activation from the YouTube page
  2. AI-powered content analysis
  3. Automatic generation of a structured mind map within 15 seconds
  4. Clear representation of the video's content, including structure, topics, people, and timeline

Can I customize the mind maps generated by gptXcc?

Yes, gptXcc allows users to customize the generated mind maps by adjusting settings and preferences to suit their individual needs.

Does gptXcc work for all YouTube videos?

While gptXcc is designed to work with most YouTube videos, some content may not be accessible due to copyright restrictions. However, the tool is compatible with a vast majority of available videos on the platform.

Latest Traffic Insights

  • Monthly Visits

    193.90 M

  • Bounce Rate

    56.27%

  • Pages Per Visit

    2.71

  • Time on Site(s)

    115.91

  • Global Rank

    -

  • Country Rank

    -

Recent Visits

Traffic Sources

  • Social Media:
    0.48%
  • Paid Referrals:
    0.55%
  • Email:
    0.15%
  • Referrals:
    12.81%
  • Search Engines:
    16.21%
  • Direct:
    69.81%
More Data

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Comparing Similarity for nb.no Book and Image Search Results Let's explore how to measure the similarity between: * Book search results from nb.no (the Norwegian National Library) * Image search results from various sources This comparison can be valuable for understanding: * How well visual representations match textual descriptions. * Potential for using images to enhance book discovery. * Developing new search functionalities that combine text and image data. We can use various techniques to assess similarity, including: * Textual Similarity: Analyzing the keywords, topics, and overall content of book descriptions and image captions. * Visual Similarity: Comparing the visual features of images using algorithms like convolutional neural networks (CNNs). * Hybrid Approaches: Combining textual and visual similarity measures for a more comprehensive evaluation. By comparing similarity scores across different methods, we can gain insights into the strengths and weaknesses of each approach and identify the most effective way to connect books and images.

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AIScraper

This is a Python library for scraping data from websites that use the Amazon Interactive Search (AIS) API. 

Features:

* Easy to use: Simply provide a search query and the library will return a list of product results.
* Flexible: You can customize your scraping by specifying filters, such as price range, brand, and category.
* Efficient: The library uses asynchronous requests to speed up the scraping process.
* Reliable: The library is designed to handle rate limits and other website restrictions.

Installation:

```bash
pip install aiscraper
```

Usage:

```python
from aiscraper import AIScraper

Create an instance of the AIScraper class
scraper = AIScraper()

Perform a search for "laptops"
results = scraper.search("laptops")

Print the product titles
for result in results:
    print(result["title"])
```

Documentation:

https://github.com/aiscraper/aiscraper
View Detail

AIScraper This is a Python library for scraping data from websites that use the Amazon Interactive Search (AIS) API. Features: * Easy to use: Simply provide a search query and the library will return a list of product results. * Flexible: You can customize your scraping by specifying filters, such as price range, brand, and category. * Efficient: The library uses asynchronous requests to speed up the scraping process. * Reliable: The library is designed to handle rate limits and other website restrictions. Installation: ```bash pip install aiscraper ``` Usage: ```python from aiscraper import AIScraper Create an instance of the AIScraper class scraper = AIScraper() Perform a search for "laptops" results = scraper.search("laptops") Print the product titles for result in results: print(result["title"]) ``` Documentation: https://github.com/aiscraper/aiscraper

AIScraper This is a Python library for scraping data from websites that use the Amazon Interactive Search (AIS) API. Features: * Easy to use: Simply provide a search query and the library will return a list of product results. * Flexible: You can customize your scraping by specifying filters, such as price range, brand, and category. * Efficient: The library uses asynchronous requests to speed up the scraping process. * Reliable: The library is designed to handle rate limits and other website restrictions. Installation: ```bash pip install aiscraper ``` Usage: ```python from aiscraper import AIScraper Create an instance of the AIScraper class scraper = AIScraper() Perform a search for "laptops" results = scraper.search("laptops") Print the product titles for result in results: print(result["title"]) ``` Documentation: https://github.com/aiscraper/aiscraper

Web scraper, powered by AI! Collect structured data from web pages in just a few clicks! What's new 🔹Simplified data collection…

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Midjourney SREF Codes Library for Style Reference

What are SREF Codes?

SREF codes are special text strings used in Midjourney to quickly and easily apply specific artistic styles to your image generations. 

How to Use SREF Codes:

Simply add an SREF code to your Midjourney prompt. For example:

`/imagine a majestic dragon, SREF:cyberpunk`

SREF Code Library:

This library contains a collection of SREF codes categorized by style. 

* Art Styles:
    * `photorealistic`: Creates images with high levels of realism.
    * `impressionistic`:  Captures the essence of a scene with loose brushstrokes and vibrant colors.
    * `cubist`:  Breaks down objects into geometric shapes.
    * `surrealist`:  Creates dreamlike and fantastical images.
    * `abstract`:  Focuses on form, color, and composition rather than representational imagery.

* Visual Effects:
    * `cinematic`:  Gives images a cinematic look and feel.
    * `HDR`:  Creates images with high dynamic range, resulting in greater detail and contrast.
    * `neon`:  Adds vibrant neon lights to the image.
    * `pixel art`:  Generates images in a retro pixel art style.

* Other Styles:
    * `anime`:  Creates images in the style of Japanese animation.
    * `manga`:  Similar to anime, but with a more comic book aesthetic.
    * `sketch`:  Generates images that resemble pencil sketches.
    * `watercolor`:  Creates images with the look and feel of watercolor paintings.

Note: This is just a small sample of the many SREF codes available. 

Explore and Experiment:

The best way to learn about SREF codes is to experiment with them! Try combining different codes to create unique and interesting styles.
View Detail

Midjourney SREF Codes Library for Style Reference What are SREF Codes? SREF codes are special text strings used in Midjourney to quickly and easily apply specific artistic styles to your image generations. How to Use SREF Codes: Simply add an SREF code to your Midjourney prompt. For example: `/imagine a majestic dragon, SREF:cyberpunk` SREF Code Library: This library contains a collection of SREF codes categorized by style. * Art Styles: * `photorealistic`: Creates images with high levels of realism. * `impressionistic`: Captures the essence of a scene with loose brushstrokes and vibrant colors. * `cubist`: Breaks down objects into geometric shapes. * `surrealist`: Creates dreamlike and fantastical images. * `abstract`: Focuses on form, color, and composition rather than representational imagery. * Visual Effects: * `cinematic`: Gives images a cinematic look and feel. * `HDR`: Creates images with high dynamic range, resulting in greater detail and contrast. * `neon`: Adds vibrant neon lights to the image. * `pixel art`: Generates images in a retro pixel art style. * Other Styles: * `anime`: Creates images in the style of Japanese animation. * `manga`: Similar to anime, but with a more comic book aesthetic. * `sketch`: Generates images that resemble pencil sketches. * `watercolor`: Creates images with the look and feel of watercolor paintings. Note: This is just a small sample of the many SREF codes available. Explore and Experiment: The best way to learn about SREF codes is to experiment with them! Try combining different codes to create unique and interesting styles.

Midjourney SREF Codes Library for Style Reference What are SREF Codes? SREF codes are special text strings used in Midjourney to quickly and easily apply specific artistic styles to your image generations. How to Use SREF Codes: Simply add an SREF code to your Midjourney prompt. For example: `/imagine a majestic dragon, SREF:cyberpunk` SREF Code Library: This library contains a collection of SREF codes categorized by style. * Art Styles: * `photorealistic`: Creates images with high levels of realism. * `impressionistic`: Captures the essence of a scene with loose brushstrokes and vibrant colors. * `cubist`: Breaks down objects into geometric shapes. * `surrealist`: Creates dreamlike and fantastical images. * `abstract`: Focuses on form, color, and composition rather than representational imagery. * Visual Effects: * `cinematic`: Gives images a cinematic look and feel. * `HDR`: Creates images with high dynamic range, resulting in greater detail and contrast. * `neon`: Adds vibrant neon lights to the image. * `pixel art`: Generates images in a retro pixel art style. * Other Styles: * `anime`: Creates images in the style of Japanese animation. * `manga`: Similar to anime, but with a more comic book aesthetic. * `sketch`: Generates images that resemble pencil sketches. * `watercolor`: Creates images with the look and feel of watercolor paintings. Note: This is just a small sample of the many SREF codes available. Explore and Experiment: The best way to learn about SREF codes is to experiment with them! Try combining different codes to create unique and interesting styles.

Explore a list of 177 unique Midjourney sref codes and style references to find your perfect Midjourney sref code effect.

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