Automatic email classification with Gmail and Claude AI
How It Works 1.Gmail Trigger
- Continuously monitors your Gmail inbox for new messages.
- Captures the email’s subject, body, and metadata.
- Sends the extracted content to the Email Content Classifier.
2.Email Content Classification
The Email Content Classifier analyzes the email content using natural language processing.
Compares the message against predefined Gmail labels:
- Ads
- Work
- Personal
- Financial
- Other (fallback label)
Users can add or rename categories to match their specific needs.
Uses context, tone, and keywords to determine the most accurate label.
3.Applying Gmail Labels
- Sends the classification result to the corresponding Gmail label node.
- Automatically applies the matching Gmail label in your inbox.
- If the classifier cannot confidently match the message, the Other label is used as a fallback.
Setup Steps
- Connect Gmail Accounts
- Connect your Gmail account in the Gmail Trigger and in each Gmail label node.
- Configure the Email Content Classifier
- Map the incoming Gmail message body to inputText.
- Ensure the classifier node has access to a language model credential (Anthropic or other).
- Test the Workflow
- Send a few sample emails to yourself to confirm that labels are correctly applied.
- Tweak Categories if Needed
- Adjust category names in the classifier node to match your Gmail labels exactly.
Customization
- Add or rename categories in the classifier to reflect your specific email types.
- Create corresponding Gmail label nodes for each new category.
- Expand or modify categories as your workflow evolves to improve organization and efficiency.
Use Cases
- Automatic inbox organization and sorting.
- Separation of work, personal, financial, and promotional emails.
- Improved productivity by making important emails easier to locate.
- Custom categorization for specialized workflows.
Troubleshooting Tips
- Emails not being labeled → check API permissions and message ID references.
- Wrong label assigned → update classifier examples or refine category descriptions.
- Classifier not returning a category → confirm fallback category “Other” is configured.
- Workflow not triggering → reconnect Gmail Trigger authentication and ensure the workflow is active.
Automatic Email Classification with Gmail and Claude AI
This n8n workflow automates the classification of incoming emails using Gmail as a trigger and Anthropic's Claude AI for intelligent text classification. It helps streamline email management by categorizing emails based on their content.
What it does
This workflow simplifies email management by:
- Monitoring Gmail: It listens for new emails arriving in your Gmail inbox.
- Extracting Email Content: Upon receiving a new email, it extracts the subject and body of the email.
- Classifying Email Content with AI: It sends the extracted email content to an Anthropic Claude AI model (via the Text Classifier node) to determine its category or intent.
- Processing Classified Emails: Although the current JSON doesn't specify subsequent actions, the classified emails are ready for further automation (e.g., moving to specific folders, sending notifications, updating a CRM, etc.).
Prerequisites/Requirements
To use this workflow, you will need:
- n8n Instance: A running n8n instance.
- Gmail Account: A Google account with Gmail enabled.
- Anthropic API Key: An API key for Anthropic's Claude AI model to use the "Anthropic Chat Model" and "Text Classifier" nodes.
- Gmail Credential: An n8n credential configured for your Gmail account.
- Anthropic Credential: An n8n credential configured for your Anthropic API key.
Setup/Usage
- Import the Workflow:
- Download the provided JSON file.
- In your n8n instance, go to "Workflows" and click "New Workflow".
- Click the "Import from JSON" button and paste the workflow JSON or upload the file.
- Configure Credentials:
- Locate the "Gmail Trigger" node and configure your Gmail account credential.
- Locate the "Anthropic Chat Model" and "Text Classifier" nodes and configure your Anthropic API key credential.
- Activate the Workflow:
- Once credentials are set, save the workflow.
- Toggle the workflow to "Active" to start listening for new emails.
- Customize Classification (Optional):
- You can further configure the "Text Classifier" node to define specific categories or instructions for how Claude AI should classify your emails.
- Add Post-Classification Actions (Optional):
- Extend the workflow by adding nodes after the "Text Classifier" to perform actions based on the classification result (e.g., use a "Switch" node to route emails to different "Gmail" actions like moving them to specific labels/folders, or sending data to other services).
Related Templates
Auto-create TikTok videos with VEED.io AI avatars, ElevenLabs & GPT-4
💥 Viral TikTok Video Machine: Auto-Create Videos with Your AI Avatar --- 🎯 Who is this for? This workflow is for content creators, marketers, and agencies who want to use Veed.io’s AI avatar technology to produce short, engaging TikTok videos automatically. It’s ideal for creators who want to appear on camera without recording themselves, and for teams managing multiple brands who need to generate videos at scale. --- ⚙️ What problem this workflow solves Manually creating videos for TikTok can take hours — finding trends, writing scripts, recording, and editing. By combining Veed.io, ElevenLabs, and GPT-4, this workflow transforms a simple Telegram input into a ready-to-post TikTok video featuring your AI avatar powered by Veed.io — speaking naturally with your cloned voice. --- 🚀 What this workflow does This automation links Veed.io’s video-generation API with multiple AI tools: Analyzes TikTok trends via Perplexity AI Writes a 10-second viral script using GPT-4 Generates your voiceover via ElevenLabs Uses Veed.io (Fabric 1.0 via FAL.ai) to animate your avatar and sync the lips to the voice Creates an engaging caption + hashtags for TikTok virality Publishes the video automatically via Blotato TikTok API Logs all results to Google Sheets for tracking --- 🧩 Setup Telegram Bot Create your bot via @BotFather Configure it as the trigger for sending your photo and theme Connect Veed.io Create an account on Veed.io Get your FAL.ai API key (Veed Fabric 1.0 model) Use HTTPS image/audio URLs compatible with Veed Fabric Other APIs Add Perplexity, ElevenLabs, and Blotato TikTok keys Connect your Google Sheet for logging results --- 🛠️ How to customize this workflow Change your Avatar: Upload a new image through Telegram, and Veed.io will generate a new talking version automatically. Modify the Script Style: Adjust the GPT prompt for tone (educational, funny, storytelling). Adjust Voice Tone: Tweak ElevenLabs stability and similarity settings. Expand Platforms: Add Instagram, YouTube Shorts, or X (Twitter) posting nodes. Track Performance: Customize your Google Sheet to measure your most successful Veed.io-based videos. --- 🧠 Expected Outcome In just a few seconds after sending your photo and theme, this workflow — powered by Veed.io — creates a fully automated TikTok video featuring your AI avatar with natural lip-sync and voice. The result is a continuous stream of viral short videos, made without cameras, editing, or effort. --- ✅ Import the JSON file in n8n, add your API keys (including Veed.io via FAL.ai), and start generating viral TikTok videos starring your AI avatar today! 🎥 Watch This Tutorial --- 📄 Documentation: Notion Guide Need help customizing? Contact me for consulting and support : Linkedin / Youtube
By Dr. FirasTrack competitor SEO keywords with Decodo + GPT-4.1-mini + Google Sheets
This workflow automates competitor keyword research using OpenAI LLM and Decodo for intelligent web scraping. Who this is for SEO specialists, content strategists, and growth marketers who want to automate keyword research and competitive intelligence. Marketing analysts managing multiple clients or websites who need consistent SEO tracking without manual data pulls. Agencies or automation engineers using Google Sheets as an SEO data dashboard for keyword monitoring and reporting. What problem this workflow solves Tracking competitor keywords manually is slow and inconsistent. Most SEO tools provide limited API access or lack contextual keyword analysis. This workflow solves that by: Automatically scraping any competitor’s webpage with Decodo. Using OpenAI GPT-4.1-mini to interpret keyword intent, density, and semantic focus. Storing structured keyword insights directly in Google Sheets for ongoing tracking and trend analysis. What this workflow does Trigger — Manually start the workflow or schedule it to run periodically. Input Setup — Define the website URL and target country (e.g., https://dev.to, france). Data Scraping (Decodo) — Fetch competitor web content and metadata. Keyword Analysis (OpenAI GPT-4.1-mini) Extract primary and secondary keywords. Identify focus topics and semantic entities. Generate a keyword density summary and SEO strength score. Recommend optimization and internal linking opportunities. Data Structuring — Clean and convert GPT output into JSON format. Data Storage (Google Sheets) — Append structured keyword data to a Google Sheet for long-term tracking. Setup Prerequisites If you are new to Decode, please signup on this link visit.decodo.com n8n account with workflow editor access Decodo API credentials OpenAI API key Google Sheets account connected via OAuth2 Make sure to install the Decodo Community node. Create a Google Sheet Add columns for: primarykeywords, seostrengthscore, keyworddensity_summary, etc. Share with your n8n Google account. Connect Credentials Add credentials for: Decodo API credentials - You need to register, login and obtain the Basic Authentication Token via Decodo Dashboard OpenAI API (for GPT-4o-mini) Google Sheets OAuth2 Configure Input Fields Edit the “Set Input Fields” node to set your target site and region. Run the Workflow Click Execute Workflow in n8n. View structured results in your connected Google Sheet. How to customize this workflow Track Multiple Competitors → Use a Google Sheet or CSV list of URLs; loop through them using the Split In Batches node. Add Language Detection → Add a Gemini or GPT node before keyword analysis to detect content language and adjust prompts. Enhance the SEO Report → Expand the GPT prompt to include backlink insights, metadata optimization, or readability checks. Integrate Visualization → Connect your Google Sheet to Looker Studio for SEO performance dashboards. Schedule Auto-Runs → Use the Cron Node to run weekly or monthly for competitor keyword refreshes. Summary This workflow automates competitor keyword research using: Decodo for intelligent web scraping OpenAI GPT-4.1-mini for keyword and SEO analysis Google Sheets for live tracking and reporting It’s a complete AI-powered SEO intelligence pipeline ideal for teams that want actionable insights on keyword gaps, optimization opportunities, and content focus trends, without relying on expensive SEO SaaS tools.
By Ranjan DailataGenerate song lyrics and music from text prompts using OpenAI and Fal.ai Minimax
Spark your creativity instantly in any chat—turn a simple prompt like "heartbreak ballad" into original, full-length lyrics and a professional AI-generated music track, all without leaving your conversation. 📋 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 🔧 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 🔑 Required Credentials OpenAI API Setup Go to platform.openai.com → API keys (sidebar) Click "Create new secret key" → 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 → Dashboard → API Keys Generate a new API key → 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) ⚙️ 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 workflow—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
By Daniel Nkencho