Convert Natural Language to Video JSON Prompts with GPT and Gemini for Veo 3
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](https://n8n.partnerlinks.io/khmuhtadin) 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](https://n8n.partnerlinks.io/khmuhtadin) - 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 GP 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](https://khaisa.studio) **Tags:** video generation, AI, Langchain, automation, Google Gemini **Category:** Video Production **Need custom work?** [Contact me](https://khaisa.studio/pages/contact)
- Platform
- n8n
- Category
- AI
- Price
- $4.99
- Creator
- Khairul Muhtadin
- chainLlm
- chatTrigger
- googleGemini
- lmChatOpenRouter
- lmChatAzureOpenAi
- outputParserStructured
How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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