YouTube Video Analyzer with AI
This workflow can automatically extract the ID of YouTube videos and retrieve the video subtitles through an API. It utilizes various AI language models to conduct in-depth analysis and structured summarization of the subtitles, ultimately sending the results via email to designated recipients. This process efficiently addresses the cumbersome issue of manually obtaining video content summaries, helping content creators, marketers, and researchers quickly capture core information from videos, enhancing work efficiency and facilitating reading and archiving.
Workflow Name
YouTube Video Analyzer with AI
Key Features and Highlights
This workflow automatically extracts the unique ID from a YouTube video URL, invokes the youtube-transcript.io API to retrieve the full transcript of the video, and leverages multiple AI language models—including OpenAI GPT-4o-mini, DeepSeek, and OpenRouter models—for in-depth analysis and structured summarization of the transcript content. The final analysis results are delivered to designated recipients via email. The key strength lies in the integration of advanced AI models to achieve precise and structured video content parsing, combined with convenient email delivery for quick access to video insights.
Core Problems Addressed
- Time-consuming and labor-intensive manual retrieval of video transcripts and summaries
- Large volume of video content makes it difficult to quickly identify key points and core concepts
- Need to convert video content into structured documents for easier reading and archiving
- Lack of efficient automated tools to help content creators, marketers, or researchers rapidly analyze videos
Application Scenarios
- Content creators quickly grasp core content of competitor or related field videos
- Marketing professionals conduct video content research and material selection
- Educational institutions organize key points from instructional videos
- Researchers or students summarize video materials and take notes
- Internal corporate knowledge management and dissemination
Main Workflow Steps
- Manually trigger the workflow and input the YouTube video URL
- Parse the video URL to extract the unique video ID
- Call the youtube-transcript.io API to obtain the video transcript
- Check if transcript exists; if not, notify that no text information is available
- Consolidate the transcript into a full text string
- Use AI language models to analyze content and generate a structured summary, including an automatic title and concise key points
- Send the analysis results to the user via email through the SMTP node
Involved Systems or Services
- YouTube video URL and ID parsing
- youtube-transcript.io API (video transcript extraction)
- OpenAI GPT-4o-mini model (text analysis)
- DeepSeek, OpenRouter, and other AI models (multi-model assisted analysis)
- SMTP email service (email delivery)
Target Users and Value
- Content creators and video bloggers
- Digital marketers and brand managers
- Educators and trainers
- Researchers and students
- Corporate knowledge management teams
This workflow significantly enhances the efficiency of video content processing, enabling users to quickly obtain core video information. It supports content production, decision-making, and knowledge sharing, making it ideal for professionals seeking to improve work efficiency through automated AI tools.