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Scribe-Vision

Scribe-Vision helps writers and creators tap into the power of AI and public opinion to research and inspire creative projects. Enter a theme or a YouTube video URL to scrape comments and receive:

  • 🧠 Sentiment Analysis (via vader-sentiment)
  • πŸ” Extracted Keywords (via keyword-extractor)
  • πŸ“ AI-Generated Summaries (via mistralai/Mistral-Small-3.1-24B-Instruct-2503)

πŸ”— Access

NOTE: This service is on a free-tier so please use judiciously (don't wanna get bills!) Try it live: https://scribe-vision.netlify.app/


❓ Why the Need for This?

While large AI models like ChatGPT, Claude, Gemini, and others can browse blogs, articles, Reddit threads, and research papers, they fall short when it comes to mining insights directly from YouTube comments and other social media feedback loops.

That’s where Scribe-Vision steps in.

🧰 This project is a one-stop research tool for creators who want to organize, analyze, and extract value from real audience reactions without having to manually sift through hundreds of comments.

Use it when:

  • You're trying to understand what makes a viral video emotionally impactful
  • You want to detect common opinions or emotional responses to a theme
  • You're looking for genuine, unfiltered human sentiment from social platforms

It’s built specifically to fill this research gap β€” by bringing structured AI analysis to one of the most chaotic but valuable data sources: comment sections.


βš™οΈ Tech Stack & Components

Scribe-Vision is built with a MERN stack and integrates the following tools:

  • Frontend: React (deployed on Netlify)
  • Backend: Node.js + Express (deployed on Render)
  • APIs Used:
    • πŸŽ₯ YouTube Data API v3 β€” to search videos and scrape top comments
    • πŸ€– Hugging Face Inference API β€” to summarize insights using [mistralai/Mistral-Small-3.1-24B-Instruct-2503]
  • NLP Tools:
    • vader-sentiment β€” for sentiment analysis
    • keyword-extractor β€” for key phrase extraction

πŸ§ͺ How to Use

1. Analyze by Video URL

Paste a full YouTube video link. The app will analyze top comments on that specific video.

2. Analyze by Theme

Enter a theme or phrase (e.g. 100 men vs 1 Gorilla). The app will:

  • Search YouTube for relevant videos
  • Scrape and aggregate top comments across them
  • Provide insights using AI-generated summaries, keyword extraction, and sentiment scores

πŸ“Œ Example Use Cases

  • Scriptwriters exploring public reaction on viral topics
  • Novelists researching emotional trends
  • Content creators gathering audience sentiment
  • Researchers analyzing public discourse

About

Utilize the power of AI and people's opinions to research for creative projects. This project lets you enter a theme or URL to scrape YouTube comments, and receive sentiment analysis, keywords and summary from Mistral-Small-3.1-24B-Instruct-2503.

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