LangChain Automate

LangChain Automate streamlines video processing by downloading a video, extracting frames, and generating a voiceover script using AI. It efficiently creates a narrated audio clip from video content, uploading the final product to Google Drive for easy access. This workflow enhances multimedia storytelling, saving time and effort in content creation.

7/8/2025
21 nodes
Complex
manualcomplexlangchainsplitoutconverttofileaggregategoogle drivesticky notewaitsplitinbatcheseditimageadvancedapiintegrationfilesstorage
Categories:
Complex WorkflowManual TriggeredCreative Design Automation
Integrations:
LangChainSplitOutConvertToFileAggregateGoogle DriveSticky NoteWaitSplitInBatchesEditImage

Target Audience

  • Content Creators: Those who produce video content and require efficient ways to generate voiceovers and scripts.
    - Marketers: Professionals looking to enhance their video marketing strategies with engaging narratives.
    - Educators: Teachers and trainers who want to create instructional videos with voice narrations.
    - Developers: Tech enthusiasts interested in automating video processing and narration using AI tools.

    • Problem Solved

    This workflow addresses the challenge of creating engaging voiceovers for videos by automating the extraction of frames, generating scripts using AI, and producing audio narrations. It streamlines the entire process, reducing the time and effort required to create professional-quality narrated videos.

    Workflow Steps

  • 1. Manual Trigger: The workflow starts when the user manually triggers it.
    - 2. Download Video: A video is downloaded from a specified URL, which serves as the source material.
    - 3. Capture Frames: The downloaded video is processed to extract up to 90 frames evenly distributed throughout the footage using Python and OpenCV.
    - 4. Split Out Frames: The extracted frames are split into individual items for further processing.
    - 5. For Every 15 Frames: The frames are grouped into batches of 15 to manage processing efficiently.
    - 6. Resize Frame: Each frame is resized to 768x768 pixels for optimal input into the AI model.
    - 7. Aggregate Frames: The resized frames are combined into a single data structure for script generation.
    - 8. Generate Narration Script: Using the aggregated frames, a script is generated in the style of David Attenborough, creating a narrative for the video.
    - 9. Use Text-to-Speech: The generated script is converted into an audio file (MP3 format) using OpenAI’s text-to-speech capabilities.
    - 10. Upload to Google Drive: Finally, the audio file is uploaded to Google Drive for easy access and sharing.

    • Customization Guide

  • Change Video Source: Users can modify the URL in the Download Video node to use different video sources.
    - Adjust Frame Count: The max_frames parameter in the Capture Frames node can be adjusted to capture more or fewer frames based on user needs.
    - Modify Script Style: Users can change the prompt in the Generate Narration Script node to customize the style or tone of the generated script.
    - Alter Audio Output Settings: Users can adjust the response_format in the Use Text-to-Speech node to switch between different audio formats if supported.
    - Change Google Drive Upload Location: Users can specify a different folder in Google Drive for the final audio output by changing the folderId in the Upload to GDrive node.