Convert natural language to video JSON prompts with GPT and Gemini for Veo 3

Open on n8n.io

$20/month : Unlimited workflows

2500 executions/month

Try free

THE #1 IN WEB SCRAPING

Scrape any website without limits

Try free

HOSTINGER

Early Deal
DISCOUNT 20%

Self-hosted n8n

Unlimited workflows - from $4.99/mo

Try free

#1 hub for scraping, AI & automation

6000+ actors - $5 credits/mo

Try free

Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

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 A...

Best for

Content Creation automation workflows
Multimodal AI automation workflows
intermediate n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.googlegemini, @n8n/n8n-nodes-langchain.outputparserstructured, @n8n/n8n-nodes-langchain.lmchatazureopenai, @n8n/n8n-nodes-langchain.chattrigger, @n8n/n8n-nodes-langchain.chainllm, @n8n/n8n-nodes-langchain.lmchatopenrouter

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Khairul Muhtadin.

Original n8n.io source

1.1 Workflow description

Title: Convert natural language to video JSON prompts with GPT and Gemini for Veo 3
Workflow name: 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

Import the JSON file to your n8n instances
Add credentials: Azure OpenAI, Gemini API, OpenRouter API
Customize: Adjust prompt templates or default parameters in the Prompt converter node
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
Need custom work? Contact me

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Generate a video

Type / Role: @n8n/n8n-nodes-langchain.googleGemini - googleGemini
Config choices: Version 1

Block 2 - Json parser

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.3

Block 3 - Openai

Type / Role: @n8n/n8n-nodes-langchain.lmChatAzureOpenAi - lmChatAzureOpenAi
Config choices: Version 1

Block 4 - Prompt Input

Type / Role: @n8n/n8n-nodes-langchain.chatTrigger - chatTrigger
Config choices: Version 1.1

Block 5 - Prompt converter

Type / Role: @n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices: Version 1.7

Block 6 - Alternative

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenRouter - lmChatOpenRouter
Config choices: Version 1

3. Summary Table

Workflow	Convert natural language to video JSON prompts with GPT and Gemini for Veo 3
Complexity	intermediate
Nodes	6
Categories	Content Creation, Multimodal AI
Author	Khairul Muhtadin
Published	02 Aug 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/6832/6832.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Content Creation workflows Multimodal AI workflows

Frequently asked questions

What does Convert natural language to video JSON prompts with GPT and Gemini for Veo 3 do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Content Creation, Multimodal AI use case.

Khairul Muhtadin

53 workflows

Nodes

@n8n/n8n-nodes-langchain.googlegemini @n8n/n8n-nodes-langchain.outputparserstructured @n8n/n8n-nodes-langchain.lmchatazureopenai @n8n/n8n-nodes-langchain.chattrigger @n8n/n8n-nodes-langchain.chainllm @n8n/n8n-nodes-langchain.lmchatopenrouter

Complexity

intermediate

Published 02 Aug 2025

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/6832/6832.json

Share Your Workflow

Have a useful automation to share? Publish it and help the community.

Submit Your Template How to Submit

Related Workflows

Send daily LinkedIn post drafts with Tavily, Groq Llama 3.3 and Gmail

## Quick overview This workflow runs daily at 8 AM to rotate through a topic list, research it with Tavily web search, generate a LinkedIn post and image prompt with Groq (Llama 3.3 70B), create a Pollinations.ai image URL, and email you the post with the image attached via Gmail. ## How it works 1. Runs every day at 8:00 AM on a schedule. 2. Selects today’s topic from a rotating list based on the day of the year. 3. Searches the web with Tavily to fetch up-to-date results for the selected topic. 4. Uses a Groq-hosted Llama model to write a LinkedIn post and a matching image prompt grounded in the Tavily results. 5. Builds a Pollinations.ai image generation URL from the image prompt and downloads the generated image file. 6. Emails the post text with the image attached via Gmail, and sends a text-only fallback email if image generation or download fails. ## Setup 1. Add a Groq API credential to the Groq Chat Model node. 2. Create a Tavily API key and configure HTTP Header Auth with `Authorization: Bearer <YOUR_TAVILY_KEY>` for the Tavily Search request. 3. Connect a Gmail OAuth2 credential and update the recipient email address in both Gmail send steps. 4. Edit the topic list in the topic-selection code step if you want different rotating themes. ## Requirements - Groq API key (free tier available) - Tavily API key (free tier — 1,000 searches/month) - Gmail account (OAuth2) ## Customization - Edit the topic list inside the "Pick Today's Topic" code node to change what subjects the post rotates through. - Change the Groq model in the "Groq Chat Model" node if you want a different LLM (e.g. a smaller/faster or larger Groq model). - Adjust the schedule trigger if you want a different posting time, or swap the Gmail "send to" address to deliver the draft to someone else for review. ## Additional info This workflow emails you a draft for manual review before posting — it does not post to LinkedIn automatically. If image generation fails, a text-only fallback email is sent instead so you never miss the post text.

View

Generate VEO3 videos from form ideas with ChatGPT, fal.ai, Drive and Gmail

## Quick overview This workflow collects a video idea via an n8n Form, uses OpenAI to turn it into an optimized prompt, generates an 8-second VEO3 video with native audio via fal.ai, saves the MP4 to Google Drive, and emails the Drive link via Gmail. ## How it works 1. Receives a submission from an n8n Form with the requester’s email, a plain-English video idea, and a selected style. 2. Uses OpenAI (via an AI Agent) to convert the idea and style into a structured VEO3 title and detailed prompt returned as JSON. 3. Cleans and parses the AI JSON, creates a filename-safe title, and sets the generation parameters to 16:9 and 8 seconds. 4. Submits the prompt to fal.ai’s queue endpoint for the fal-ai/veo3 model and gets a request ID. 5. Polls fal.ai every 30 seconds until the job status returns COMPLETED. 6. Retrieves the final MP4 URL from fal.ai, downloads the video, uploads it to Google Drive, and emails the Google Drive web link to the requester via Gmail. ## Setup 1. Create a fal.ai account, generate an API key, and replace `YOUR_FAL_AI_API_KEY` in the fal.ai HTTP request headers. 2. Add an OpenAI API credential in the OpenAI Chat Model node and select the model you want to use. 3. Connect Google Drive OAuth2 and replace `YOUR_GDRIVE_FOLDER_ID` with the target folder ID where videos should be saved. 4. Connect Gmail OAuth2 for sending emails, then activate the workflow and use the Form URL (path `veo3-video-generator`) to submit requests.

View

Generate presentation decks from prompts with Encelade

## Quick overview This workflow starts a presentation generation job in Encelade from a prompt and outline hints, polls Encelade for completion, and outputs the finished deck link (or stops with an error if generation fails). ## How it works 1. Starts when you manually execute the workflow in n8n. 2. Sends the topic, slide count, audience, tone, theme settings, and outline hints to Encelade to generate a 6-slide presentation. 3. Waits 20 seconds and then checks the Encelade session status using the returned session ID. 4. If the session phase is not finished, it keeps waiting and rechecking until the phase changes. 5. When the phase is "done", it returns the generated deck link and project PID. 6. When the phase is "failed", it stops the workflow and raises an error with the failure details. ## Setup 1. Install and configure Encelade credentials in n8n for the Encelade node. 2. Update the generation inputs (topic, page count, outline hints, audience/tone, theme mode, and media provider) to match the deck you want to create. 3. Ensure the workflow has enough time to complete by adjusting the 20-second wait interval if your Encelade generations typically take longer.

View

Need Custom Automation?

Get help designing a custom n8n workflow that connects your stack and fits your process.

Convert natural language to video JSON prompts with GPT and Gemini for Veo 3

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

💡 Why Use Prompt Converter?

⚡ Perfect For

🔧 How It Works

🔐 Quick Setup

🧩 You'll Need

🛠️ Level Up Ideas

🧠 Nodes Used

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Generate a video

Block 2 - Json parser

Block 3 - Openai

Block 4 - Prompt Input

Block 5 - Prompt converter

Block 6 - Alternative

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions