Back to Catalog

Send a message with an inline embedded image with Gmail

David RobertsDavid Roberts
3724 views
2/3/2026
Official Page

The built-in Gmail node doesn't yet support embedding images within the body of the email, but you can pull this off using the HTTP node, and this template shows you how.

Requirements

  • A Gmail account

How it works

The workflow downloads an image, converts it into the format that the Gmail API expects (base64), packages it into a multipart MIME email and uses the HTTP node to send it.

Send a Message with an Inline Embedded Image with Gmail

This n8n workflow demonstrates how to send an email via Gmail with an inline-embedded image. This is particularly useful for creating rich, visually appealing emails where the image is part of the email body, rather than an attachment.

What it does

This workflow performs the following steps:

  1. Manual Trigger: Starts the workflow manually, allowing you to execute it on demand.
  2. Edit Fields (Set): Defines the necessary email parameters such as the recipient's email address, subject, and the HTML body of the email. This node is crucial for constructing the email content, including the cid: (Content-ID) reference for the inline image.
  3. HTTP Request: Fetches the image from a specified URL. This image will be embedded inline in the Gmail message.
  4. Extract from File: Processes the binary data of the fetched image, preparing it for embedding.
  5. Gmail: Sends the email using the configured Gmail account. It uses the data from the "Edit Fields" node for the email content and includes the binary image data from "Extract from File" as an inline attachment, referenced by the cid: in the HTML body.
  6. Sticky Note: Provides additional context or instructions within the workflow.

Prerequisites/Requirements

  • n8n Instance: A running instance of n8n.
  • Gmail Account: A Google account with Gmail enabled.
  • Gmail OAuth2 Credential: An n8n credential configured for your Gmail account using OAuth2.
  • Image URL: A publicly accessible URL for the image you wish to embed.

Setup/Usage

  1. Import the Workflow: Import the provided JSON into your n8n instance.
  2. Configure Gmail Credential:
    • Click on the "Gmail" node.
    • Under "Credentials", select an existing Gmail OAuth2 credential or create a new one. Follow the n8n documentation for setting up Gmail OAuth2 credentials if you need assistance.
  3. Configure Email Details:
    • Click on the "Edit Fields" (Set) node.
    • Update the toEmail, subject, and htmlBody values as needed. Ensure the htmlBody contains an <img> tag with a src="cid:myimage" attribute, where myimage is the Content-ID you'll specify in the Gmail node.
  4. Configure Image URL:
    • Click on the "HTTP Request" node.
    • Update the URL field to point to the image you want to embed.
  5. Configure Gmail Node for Inline Image:
    • Click on the "Gmail" node.
    • Ensure the "Resource" is set to "Message" and "Operation" is set to "Send".
    • Under "Attachments", add a new item.
      • Set "Content ID" to myimage (or whatever you used in the cid: in your HTML body).
      • Set "Data" to reference the binary data from the "Extract from File" node. You can typically drag and drop the output from "Extract from File" here or use an expression like {{ $node["Extract from File"].binary.data }}.
      • Set "File Name" to a suitable name for the image (e.g., myimage.png).
  6. Execute the Workflow: Click "Execute Workflow" to run the workflow and send the email.

Related Templates

Generate song lyrics and music from text prompts using OpenAI and Fal.ai Minimax

Spark your creativity instantly in any chatβ€”turn a simple prompt like "heartbreak ballad" into original, full-length lyrics and a professional AI-generated music track, all without leaving your conversation. πŸ“‹ What This Template Does This chat-triggered workflow harnesses AI to generate detailed, genre-matched song lyrics (at least 600 characters) from user messages, then queues them for music synthesis via Fal.ai's minimax-music model. It polls asynchronously until the track is ready, delivering lyrics and audio URL back in chat. Crafts original, structured lyrics with verses, choruses, and bridges using OpenAI Submits to Fal.ai for melody, instrumentation, and vocals aligned to the style Handles long-running generations with smart looping and status checks Returns complete song package (lyrics + audio link) for seamless sharing πŸ”§ Prerequisites n8n account (self-hosted or cloud with chat integration enabled) OpenAI account with API access for GPT models Fal.ai account for AI music generation πŸ”‘ Required Credentials OpenAI API Setup Go to platform.openai.com β†’ API keys (sidebar) Click "Create new secret key" β†’ Name it (e.g., "n8n Songwriter") Copy the key and add to n8n as "OpenAI API" credential type Test by sending a simple chat completion request Fal.ai HTTP Header Auth Setup Sign up at fal.ai β†’ Dashboard β†’ API Keys Generate a new API key β†’ Copy it In n8n, create "HTTP Header Auth" credential: Name="Fal.ai", Header Name="Authorization", Header Value="Key [Your API Key]" Test with a simple GET to their queue endpoint (e.g., /status) βš™οΈ Configuration Steps Import the workflow JSON into your n8n instance Assign OpenAI API credentials to the "OpenAI Chat Model" node Assign Fal.ai HTTP Header Auth to the "Generate Music Track", "Check Generation Status", and "Fetch Final Result" nodes Activate the workflowβ€”chat trigger will appear in your n8n chat interface Test by messaging: "Create an upbeat pop song about road trips" 🎯 Use Cases Content Creators: YouTubers generating custom jingles for videos on the fly, streamlining production from idea to audio export Educators: Music teachers using chat prompts to create era-specific folk tunes for classroom discussions, fostering interactive learning Gift Personalization: Friends crafting anniversary R&B tracks from shared memories via quick chats, delivering emotional audio surprises Artist Brainstorming: Songwriters prototyping hip-hop beats in real-time during sessions, accelerating collaboration and iteration ⚠️ Troubleshooting Invalid JSON from AI Agent: Ensure the system prompt stresses valid JSON; test the agent standalone with a sample query Music Generation Fails (401/403): Verify Fal.ai API key has minimax-music access; check usage quotas in dashboard Status Polling Loops Indefinitely: Bump wait time to 45-60s for complex tracks; inspect fal.ai queue logs for bottlenecks Lyrics Under 600 Characters: Tweak agent prompt to enforce fuller structures like [V1][C][V2][B][C]; verify output length in executions

Daniel NkenchoBy Daniel Nkencho
601

Auto-reply & create Linear tickets from Gmail with GPT-5, gotoHuman & human review

This workflow automatically classifies every new email from your linked mailbox, drafts a personalized reply, and creates Linear tickets for bugs or feature requests. It uses a human-in-the-loop with gotoHuman and continuously improves itself by learning from approved examples. How it works The workflow triggers on every new email from your linked mailbox. Self-learning Email Classifier: an AI model categorizes the email into defined categories (e.g., Bug Report, Feature Request, Sales Opportunity, etc.). It fetches previously approved classification examples from gotoHuman to refine decisions. Self-learning Email Writer: the AI drafts a reply to the email. It learns over time by using previously approved replies from gotoHuman, with per-classification context to tailor tone and style (e.g., different style for sales vs. bug reports). Human Review in gotoHuman: review the classification and the drafted reply. Drafts can be edited or retried. Approved values are used to train the self-learning agents. Send approved Reply: the approved response is sent as a reply to the email thread. Create ticket: if the classification is Bug or Feature Request, a ticket is created by another AI agent in Linear. Human Review in gotoHuman: How to set up Most importantly, install the gotoHuman node before importing this template! (Just add the node to a blank canvas before importing) Set up credentials for gotoHuman, OpenAI, your email provider (e.g. Gmail), and Linear. In gotoHuman, select and create the pre-built review template "Support email agent" or import the ID: 6fzuCJlFYJtlu9mGYcVT. Select this template in the gotoHuman node. In the "gotoHuman: Fetch approved examples" http nodes you need to add your formId. It is the ID of the review template that you just created/imported in gotoHuman. Requirements gotoHuman (human supervision, memory for self-learning) OpenAI (classification, drafting) Gmail or your preferred email provider (for email trigger+replies) Linear (ticketing) How to customize Expand or refine the categories used by the classifier. Update the prompt to reflect your own taxonomy. Filter fetched training data from gotoHuman by reviewer so the writer adapts to their personalized tone and preferences. Add more context to the AI email writer (calendar events, FAQs, product docs) to improve reply quality.

gotoHumanBy gotoHuman
353

Dynamic Hubspot lead routing with GPT-4 and Airtable sales team distribution

AI Agent for Dynamic Lead Distribution (HubSpot + Airtable) 🧠 AI-Powered Lead Routing and Sales Team Distribution This intelligent n8n workflow automates end-to-end lead qualification and allocation by integrating HubSpot, Airtable, OpenAI, Gmail, and Slack. The system ensures that every new lead is instantly analyzed, scored, and routed to the best-fit sales representative β€” all powered by AI logic, sir. --- πŸ’‘ Key Advantages ⚑ Real-Time Lead Routing Automatically assigns new leads from HubSpot to the most relevant sales rep based on region, capacity, and expertise. 🧠 AI Qualification Engine An OpenAI-powered Agent evaluates the lead’s industry, region, and needs to generate a persona summary and routing rationale. πŸ“Š Centralized Tracking in Airtable Every lead is logged and updated in Airtable with AI insights, rep details, and allocation status for full transparency. πŸ’¬ Instant Notifications Slack and Gmail integrations alert the assigned rep immediately with full lead details and AI-generated notes. πŸ” Seamless CRM Sync Updates the original HubSpot record with lead persona, routing info, and timeline notes for audit-ready history, sir. --- βš™οΈ How It Works HubSpot Trigger – Captures a new lead as soon as it’s created in HubSpot. Fetch Contact Data – Retrieves all relevant fields like name, company, and industry. Clean & Format Data – A Code node standardizes and structures the data for consistency. Airtable Record Creation – Logs the lead data into the β€œLeads” table for centralized tracking. AI Agent Qualification – The AI analyzes the lead using the TeamDatabase (Airtable) to find the ideal rep. Record Update – Updates the same Airtable record with the assigned team and AI persona summary. Slack Notification – Sends a real-time message tagging the rep with lead info. Gmail Notification – Sends a personalized handoff email with context and follow-up actions. HubSpot Sync – Updates the original contact in HubSpot with the assignment details and AI rationale, sir. --- πŸ› οΈ Setup Steps Trigger Node: HubSpot β†’ Detect new leads. HubSpot Node: Retrieve complete lead details. Code Node: Clean and normalize data. Airtable Node: Log lead info in the β€œLeads” table. AI Agent Node: Process lead and match with sales team. Slack Node: Notify the designated representative. Gmail Node: Email the rep with details. HubSpot Node: Update CRM with AI summary and allocation status, sir. --- πŸ” Credentials Required HubSpot OAuth2 API – To fetch and update leads. Airtable Personal Access Token – To store and update lead data. OpenAI API – To power the AI qualification and matching logic. Slack OAuth2 – For sending team notifications. Gmail OAuth2 – For automatic email alerts to assigned reps, sir. --- πŸ‘€ Ideal For Sales Operations and RevOps teams managing multiple regions B2B SaaS and enterprise teams handling large lead volumes Marketing teams requiring AI-driven, bias-free lead assignment Organizations optimizing CRM efficiency with automation, sir --- πŸ’¬ Bonus Tip You can easily extend this workflow by adding lead scoring logic, language translation for follow-ups, or Salesforce integration. The entire system is modular β€” perfect for scaling across global sales teams, sir.

MANISH KUMARBy MANISH KUMAR
113