LangChain Automate

This workflow is ideal for:

• Content Creators: Individuals or teams producing video content who want to automate the narration process.
• Educators: Teachers or trainers looking to create engaging video materials with voiceover.
• Marketers: Professionals needing to generate promotional videos with voiceovers quickly.
• Developers: Those interested in integrating AI capabilities into their video processing applications.
• Researchers: Individuals studying AI and its applications in multimedia processing.

This workflow addresses the challenge of creating engaging voiceover narration for videos. It automates the process of:

• Extracting frames from a video.
• Generating a script based on the visual content.
• Producing a voiceover using AI, significantly reducing the time and effort needed for manual narration.

1. Manual Trigger: The workflow begins when the user clicks ‘Test workflow’.
2. Download Video: A video is downloaded from a specified URL.
3. Capture Frames: The video is processed to extract evenly distributed frames (up to 90 frames) using Python and OpenCV.
4. Split Out Frames: The extracted frames are split into individual items for further processing.
5. Batch Processing: The frames are processed in batches of 15 to manage the size and ensure efficiency.
6. Resize Frames: Each frame is resized to 768x768 pixels for optimal input to the AI model.
7. Generate Narration Script: The frames are sent to an AI model (LangChain) which creates a voiceover script in the style of David Attenborough.
8. Combine Script: All generated scripts are combined into a single script.
9. Text-to-Speech: The combined script is converted to an audio file using OpenAI’s TTS capabilities, resulting in an MP3 file.
10. Upload to Google Drive: The final voiceover audio file is uploaded to Google Drive for easy access and sharing.