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Generate blog posts and social media content with GPT-4.1 and Pexels images

Wan DinieWan Dinie
310 views
2/3/2026
AIChatGPTWeb ScrapingLLMData Extraction
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AI Content Generator with Auto Pexels Image Matching

This n8n template demonstrates how to use AI to generate engaging content and automatically find matching royalty-free images based on the content context.

Use cases are many: Try creating blog posts with hero images, generating social media content with visuals or drafting email newsletters with relevant photos.

Good to know

  • At time of writing, Pexels offers free API access with up to 200 requests per hour. See Pexels API for updated info.
  • OpenAI API costs vary by model. GPT-4.1 mini is cheaper while normal GPT-4.1 and above offer deeper content generation but cost more per request.
  • Using the floating JavaScript node can reduce token usage by processing content and keyword extraction in a single prompt.

How it works

  1. We'll collect a content topic or idea via a manual form trigger.
  2. OpenAI generates initial content based on your input topic.
  3. The AI extracts suitable keywords from the generated content to find matching images.
  4. The keywords are sent to Pexels API, which searches for relevant royalty-free stock images.
  5. OpenAI creates the final polished content that complements the selected image.
  6. The result is displayed as a formatted HTML template combining content and image together.

How to use

  • The manual trigger node is used as an example, but feel free to replace this with other triggers such as webhook or even a form.
  • You can batch-generate multiple pieces of content by looping through a list, but of course, the processing will take longer and cost more.

Requirements

Customizing this workflow

  • Optimize token usage: Connect the floating "Extract Content and Image Keyword" JavaScript node to process everything in one prompt and minimize API costs. If you use this option, update the expressions in the "Pexels Image Search" node and "Create Suitable Content Including Image" node to reference the extracted keywords from the JS node.
  • Upgrade to GPT-4.1, GPT-5.1, or GPT-5.2 for more advanced and creative content generation.
  • Change the HTML template output to other formats like Markdown, plain text, or JSON for different publishing platforms.
  • For long term, store the results in a database like Supabase or Google Sheets if you are planning to reuse the contents.

n8n Form Trigger with OpenAI and HTTP Request

This n8n workflow demonstrates a basic integration of an n8n Form Trigger with OpenAI's language model and an HTTP Request node. It serves as a foundational example for building interactive AI-powered workflows initiated by user submissions.

What it does

This workflow:

  1. Listens for Form Submissions: It is triggered when a user submits data through an n8n form.
  2. Processes Input with AI: It sends the submitted form data to an OpenAI Chat Model for processing, likely to generate a response or extract information.
  3. Executes an HTTP Request: It then performs an HTTP request, potentially using the AI's output or other data from the form submission.
  4. Includes Helper Nodes: It utilizes a "Code" node for custom logic, an "HTML" node for potential HTML manipulation or extraction, and a "Sticky Note" for documentation within the workflow.

Prerequisites/Requirements

  • n8n Instance: A running n8n instance.
  • OpenAI Account: An OpenAI API key configured as an n8n credential for the "OpenAI Chat Model" node.
  • Basic understanding of HTTP requests: To configure the "HTTP Request" node effectively.

Setup/Usage

  1. Import the Workflow:
    • Save the provided JSON content as a .json file.
    • In your n8n instance, go to "Workflows" and click "New".
    • Click the "Import from JSON" button and upload the saved .json file.
  2. Configure Credentials:
    • Locate the "OpenAI Chat Model" node.
    • Click on the node and configure your OpenAI API Key credential.
  3. Configure the n8n Form Trigger:
    • Click on the "On form submission" node.
    • Define the fields for your form as needed. This will dictate what data the workflow receives upon submission.
  4. Configure OpenAI Chat Model:
    • Adjust the "OpenAI Chat Model" node's parameters (e.g., model, prompt, temperature) to suit your specific AI interaction needs.
  5. Configure HTTP Request:
    • Update the "HTTP Request" node with the desired URL, method (GET, POST, etc.), headers, and body based on the API you intend to call. You can use expressions to dynamically include data from the form submission or the AI's response.
  6. Review and Customize:
    • Examine the "Code" and "HTML" nodes. These are currently placeholders and will need to be configured with specific JavaScript logic or HTML processing instructions relevant to your use case.
    • The "Sticky Note" provides internal documentation; feel free to edit or add more for clarity.
  7. Activate the Workflow:
    • Once configured, activate the workflow by toggling the "Active" switch in the top right corner of the workflow editor.
  8. Test the Form:
    • Access the public URL of the "On form submission" node and submit data to test the workflow.

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