Video Note Generator
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Video Note Generator
Overview :
Video Note Generator is a tool that quickly converts video content into Xiaohongshu notes. It optimizes content and images through automation, helping content creators, knowledge managers, and social media managers enhance their work efficiency. This tool leverages cutting-edge artificial intelligence technologies, including speech-to-text and content optimization, to ensure that the generated notes align with Xiaohongshu's style while being engaging. Its significance lies in its ability to save substantial time on content creation and editing while maintaining the quality and appeal of the content.
Target Users :
The target audience includes content creators, social media managers, and knowledge managers. This tool is suitable for them as it quickly transforms video content into structured, optimized articles, saving a significant amount of editing and creative time while maintaining the content's appeal and professionalism.
Total Visits: 474.6M
Top Region: US(19.34%)
Website Views : 61.3K
Use Cases
Example 1: A content creator uses Video Note Generator to convert a tutorial video into Xiaohongshu notes for knowledge sharing.
Example 2: A social media manager utilizes this tool to batch generate Xiaohongshu notes, improving content publishing efficiency.
Example 3: A knowledge manager employs Video Note Generator to organize video learning materials, quickly obtaining key learning points.
Features
- Video downloading: Download video content from the provided URLs.
- Audio extraction: Extract audio from videos for subsequent text conversion.
- Speech-to-text: Use Whisper technology to convert audio into text.
- AI-driven text organization: Structure and organize converted texts using AI technology.
- Xiaohongshu style optimization: Optimize the structure and content of articles according to Xiaohongshu's characteristics.
- Title generation: Automatically generate eye-catching titles.
- Tag generation: Automatically create relevant tags based on content for easier categorization.
- Image retrieval: Automatically fetch high-quality images related to the content.
How to Use
1. Install dependencies: Follow the project page instructions to install FFmpeg and Python dependencies.
2. Configure environment variables: Copy the .env.example file to .env and fill in the necessary API keys.
3. Create a URL file: Create a urls.txt file containing video links, with one link per line.
4. Run environment check: Execute python check_environment.py to ensure all configurations are correct.
5. Run the generator: Use the command python video_note_generator.py test.md to generate notes.
6. View output files: Each video will generate three different versions of notes, including the original notes, a revised version, and a Xiaohongshu version.
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