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Convert Natural Language to Video JSON Prompts with GPT and Gemini for Veo 3

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Created by: Khairul Muhtadin || khmuhtadin

Khairul Muhtadin

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Last update 25 days ago

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The Prompt converter workflow tackles the challenge of turning your natural language video ideas into perfectly formatted JSON prompts tailored for Veo 3 video generation.

By leveraging Langchain AI nodes and Google Gemini, this workflow automates and refines your input to help you create high-quality videos faster and with more precision—think of it as your personal video prompt translator that speaks fluent cinematic!

💡 Why Use Prompt Converter?

Save time: Automate converting complex video prompts into structured JSON, cutting manual formatting headaches and boosting productivity.

Avoid guesswork: Eliminate unclear video prompt details by generating detailed, cinematic descriptions that align perfectly with Veo 3 specs.

Improve output quality: Optimize every parameter for Veo 3's video generation model to get realistic and stunning results every time.

Gain a creative edge: Turn vague ideas into vivid video concepts with AI-powered enhancement—your video project's secret weapon.

⚡ Perfect For

Video creators: Content developers wanting quick, precise video prompt formatting without coding hassles.

AI enthusiasts: Developers and hobbyists exploring Langchain and Google Gemini for media generation.

Marketing teams: Professionals creating video ads or visuals who need consistent prompt structuring that saves time.

🔧 How It Works

⏱ Trigger: User submits a free text prompt via message or webhook.

📎 Process: The text goes through an AI model that understands and reworks it into detailed JSON parameters tailored for Veo 3.

🤖 Smart Logic: Langchain nodes parse and optimize the prompt with cinematic details, set reasonable defaults, and structure the data precisely.

💌 Output: The refined JSON prompt is sent to Google Gemini for video generation with optimized settings.

🔐 Quick Setup

  1. Import the JSON file to your n8n instances
  2. Add credentials: Azure OpenAI, Gemini API, OpenRouter API
  3. Customize: Adjust prompt templates or default parameters in the Prompt converter node
  4. Test: Run your workflow with sample text prompts to see videos come to life

🧩 You'll Need

  • Active n8n instances
  • Azure OpenAI API
  • Gemini API Key
  • OpenRouter API (alternative AI option)

🛠️ Level Up Ideas

  • Add integration with video hosting platforms to auto-upload generated videos

🧠 Nodes Used

  • Prompt Input (Chat Trigger)
  • OpenAI (Azure OpenAI GPT model)
  • Alternative (OpenRouter API)
  • Prompt converter (Langchain chain LLM for JSON conversion)
  • JSON parser (structured output extraction)
  • Generate a video (Google Gemini video generation)

Made by: Khaisa Studio
Tags: video generation, AI, Langchain, automation, Google Gemini
Category: Video Production
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