Video Visual Understanding and Automated Dubbing Workflow

This workflow automates the production of video content narration, covering video downloading, frame extraction, narration script generation, and voiceover audio production. By combining multimodal large language models and text-to-speech technology, it significantly enhances the efficiency and quality of video narration, and automatically uploads the generated audio files to Google Drive for easy storage and sharing. It is suitable for fields such as media production, education and training, and marketing, simplifying the traditional content creation process.

Workflow Diagram
Video Visual Understanding and Automated Dubbing Workflow Workflow diagram

Workflow Name

Video Visual Understanding and Automated Dubbing Workflow

Key Features and Highlights

This workflow delivers a fully automated pipeline from online video downloading and frame extraction to generating narration scripts based on a Multimodal Large Language Model (Multimodal LLM), and finally producing dubbing audio via Text-to-Speech (TTS) technology with automatic upload to Google Drive. Highlights include:

  • Efficient and uniform extraction of key video frames using Python and OpenCV, with frame count control to optimize performance
  • Batch processing of image frames through Langchain-integrated OpenAI GPT-4o model to generate coherent and stylistically consistent narration scripts
  • High-quality automated dubbing using OpenAI’s speech synthesis API
  • Automatic upload of generated audio files to Google Drive for convenient storage and sharing

Core Problems Addressed

Traditional video narration production is cumbersome, requiring manual script writing and voice recording, which is time-consuming and costly. This workflow combines automated visual content understanding with text generation to efficiently produce video narration scripts in batches and convert them into dubbing audio automatically, significantly reducing manual intervention and improving content production efficiency.

Application Scenarios

  • Media content production: Rapid generation of professional narration scripts and dubbing for short videos and promotional clips
  • Education and training: Automatic creation of course video narration audio
  • Marketing: Batch production of product showcase videos with voiceover
  • Content creators and video editors: Simplification of video narration script and dubbing workflows

Main Process Steps

  1. Video Download: Download online video resources via HTTP request nodes
  2. Video Frame Extraction: Use Python code nodes (OpenCV) to uniformly extract up to 90 key frames and convert them to Base64 format
  3. Frame Splitting and Batch Processing: Split frames into groups of 15 and send them in batches to the Multimodal LLM for processing
  4. Narration Script Generation: Utilize OpenAI GPT-4o model with multi-frame image inputs to generate coherent narration text segments, progressively merging them into a complete script
  5. Text-to-Speech Conversion: Call OpenAI’s speech synthesis API to convert the full script into MP3-format dubbing audio
  6. Upload and Storage: Upload the generated audio files to a designated Google Drive folder for easy access and sharing

Involved Systems and Services

  • OpenAI GPT-4o Multimodal Language Model (text and image combined understanding and generation)
  • OpenAI Text-to-Speech (TTS) Service
  • Google Drive (storage and management of generated audio files)
  • HTTP Request Nodes (video file downloading)
  • Python/OpenCV (video frame extraction and image processing)
  • n8n Automation Platform Nodes (workflow orchestration and data transformation)

Target Users and Value

  • Content creators and video producers seeking rapid generation of professional narration scripts and dubbing to enhance production efficiency
  • Marketing and media teams producing large volumes of high-quality dubbed video content
  • Educational institutions automating the creation of course video narration audio
  • Automation enthusiasts and developers exploring practical applications of multimodal AI combined with video content

This workflow leverages visual AI and natural language generation technologies to seamlessly connect video content understanding with audio generation, enabling an intelligent upgrade of content creation processes. We welcome you to experience and share your insights in the n8n community!