Workflow Templates

✅ What problem does this workflow solve? Sending a plain PDF resume doesn’t stand out anymore. This workflow allows candidates to convert their resume and photo into a personalized video resume. Recruiters get a more engaging first impression, while candidates showcase their profile in a modern, impactful way. ⚙️ What does this workflow do? Presents a form for uploading: 📄 Resume (PDF) 🖼 Photo (headshot) Extracts key details from the resume (education, experience, skills). Detects gender from the photo to choose a suitable voice/avatar. Generates a script (spoken resume summary) based on the extracted information. Uploads the photo to HeyGen to create an avatar. Requests video generation on HeyGen: Uses the avatar photo Uses gender-specific settings Uses the generated script as narration Monitors video generation status until completion. Stores the final video URL in a Google Sheet for easy access and tracking. 🔧 Setup Instructions Google Services Connect Google Sheets to n8n to store records with: Candidate name Resume link Video link HeyGen Setup Get an API key from HeyGen. Configure: Avatar upload endpoint (image upload) Video generation endpoint (image ID + script) Form Setup Use the n8n Form Trigger to allow candidates to upload: Resume (PDF) Photo (JPEG/PNG) 🧠 How it Works – Step-by-Step 1. Candidate Submission A candidate fills out a form and uploads: Resume (PDF) Photo 2. Extract Resume Data The resume PDF is processed using OCR/AI to extract: Name Experience Skills Education highlights 3. Gender Detection The uploaded photo is analyzed to detect gender (used for voice/avatar selection). 4. Script Generation Based on the extracted resume info, a concise, natural script is generated automatically. 5. Avatar Upload & Video Creation The photo is uploaded to HeyGen to create a custom avatar. A video generation request is made using: The script The avatar (image ID) A matching voice for the detected gender 6. Video Status Monitoring The workflow polls HeyGen’s API until the video is ready. 7. Save Final Video URL Once complete, the video link is added to a Google Sheet alongside the candidate’s details. 👤 Who can use this? This workflow is ideal for: 🧑‍🎓 Students and job seekers looking to stand out 🧑‍💼 Recruitment agencies offering modern resume services 🏢 HR teams wanting engaging candidate submissions 🎥 Portfolio builders for professionals 🚀 Impact Instead of a static PDF, you can now send a dynamic video resume that captures attention, adds personality, and makes a lasting impression.

What it does This provides a web form for use with my personal property inventory workflow, allowing you to upload image(s) and an optional description with a simple web interface. How it works Displays web form allowing you upload image(s) and an optional description Resizes images and converts to webp format Posts image(s) and description to webhook of the personal property inventory workflow. Requirements A running personal property inventory workflow. How to use Update the HTTP Request node's URL to point to your personal property inventory workflow. Set the HTTP Request node's authentication to match that of the webhook of the personal property inventory workflow.

Automated TikTok Repurposing & Video Generation Workflow Who’s it for This workflow is designed for content creators, social media managers, and marketers—specifically those in the career, recruitment, or "job change" (転職/就職) niches. It is ideal for anyone looking to automate the process of finding trending short-form content concepts and converting them into fresh AI-generated videos. How it works / What it does This workflow automates the pipeline from content research to video creation: Scrape Data: It triggers an Apify actor (clockworks/tiktok-scraper) to search and scrape TikTok videos related to "Job Change" (転職) and "Employment" (就職). Store Raw Data: It saves the scraped TikTok metadata (text, stats, author info) into a Google Sheet. AI Analysis & Prompting: An AI Agent (via OpenRouter) analyzes the scraped video content and creates a detailed prompt for a new video (concept, visual cues, aspect ratio). Log Prompts: The generated prompt is saved to a separate tab in the Google Sheet. Video Generation: The prompt is sent to Fal AI (Veo3 model) to generate a new 8-second, vertical (9:16) video with audio. Wait & Retrieve: The workflow waits for the generation to complete, then retrieves the video file. Cloud Storage: Finally, it uploads the generated video file to a specific Google Drive folder. How to set up Credentials: Configure the following credentials in n8n: Apify API: (Currently passed via URL query params in the workflow, recommended to switch to Header Auth). Google Sheets OAuth2: Connect your Google account. OpenRouter API: For the AI Agent. Fal AI (Header Auth): For the video generation API. Google Drive OAuth2: For uploading the final video. Google Sheets: Create a spreadsheet. Note the documentId and update the Google Sheets nodes. Ensure you have the necessary Sheet names (e.g., "シート1" for raw data, "生成済み" for prompts) and columns mapped. Google Drive: Create a destination folder. Update the Upload file node with the correct folderId. Apify: Update the token in the HTTP Request and HTTP Request1 URLs with your own Apify API token. Requirements n8n Version:** 1.x or higher (Workflow uses version 4.3 nodes). Apify Account:** With access to clockworks/tiktok-scraper and sufficient credits. Fal.ai Account:** With credits for the fal-ai/veo3 model. OpenRouter Account:** With credits for the selected LLM. Google Workspace:** Access to Drive and Sheets. How to customize the workflow Change the Niche:* Update the searchQueries JSON body in the first *HTTP Request** node (e.g., change "転職" to "Cooking" or "Fitness"). Adjust AI Logic:* Modify the *AI Agent** system prompt to change the style, tone, or structure of the video prompts it generates. Video Settings:* In the *Fal Submit** node, adjust bodyParameters to change the duration (e.g., 5s), aspect ratio (e.g., 16:9), or disable audio. Scale:* Increase the amount in the *Limit** node to process more than one video per execution.

How it works This workflow uses BrowserAct to run an AI-powered browser automation that collects structured product data, including image URLs and related metadata. The workflow then: Parses the BrowserAct output into individual product items Iterates through each product entry Downloads the product image and converts it into Base64 format Sends the image together with a predefined prompt to an AI video generation API Polls the generation status until the video is ready Downloads the generated short video file Uploads both the original product image and the generated video to Google Drive Each product is processed independently, making the workflow suitable for batch-based and scalable automation scenarios. Set up steps Connect your BrowserAct account to enable the browser-based data extraction workflow Connect a Google Drive account where source images and generated videos will be stored Review the input parameters provided by the BrowserAct node, such as target URL, search keyword, or data limit Adjust the product processing limit or batch size if you want to control execution time Run the workflow manually once to verify the output before using it in regular automation Additional explanations and configuration details are provided as sticky notes directly inside the workflow. Workflow Guidance and Showcase https://www.youtube.com/watch?v=XS5vyh-bdz0

Harness OpenAI's Sora 2 for instant video creation from text or images using fal.ai's API—powered by GPT-5 for refined prompts that ensure cinematic quality. This template processes form submissions, intelligently routes to text-to-video (with mandatory prompt enhancement) or image-to-video modes, and polls for completion before redirecting to your generated clip. 📋 What This Template Does Users submit prompts, aspect ratios (9:16 or 16:9), models (sora-2 or pro), durations (4s, 8s, or 12s), and optional images via a web form. For text-to-video, GPT-5 automatically refines the prompt for optimal Sora 2 results; image mode uses the raw input. It calls one of four fal.ai endpoints (text-to-video, text-to-video/pro, image-to-video, image-to-video/pro), then loops every 60s to check status until the video is ready. Handles dual modes: Text (with GPT-5 enhancement) or image-seeded generation Supports pro upgrades for higher fidelity and longer clips Auto-uploads images to a temp host and polls asynchronously for hands-free results Redirects directly to the final video URL on completion 🔧 Prerequisites n8n instance with HTTP Request and LangChain nodes enabled fal.ai account for Sora 2 API access OpenAI account for GPT-5 prompt refinement 🔑 Required Credentials fal.ai API Setup Sign up at fal.ai and navigate to Dashboard → API Keys Generate a new key with "sora-2" permissions (full access recommended) In n8n, create "Header Auth" credential: Name it "fal.ai", set Header Name to "Authorization", Value to "Key [Your API Key]" OpenAI API Setup Log in at platform.openai.com → API Keys (top-right profile menu) Click "Create new secret key" and copy it (store securely) In n8n, add "OpenAI API" credential: Paste key, select GPT-5 model in the LLM node ⚙️ Configuration Steps Import the workflow JSON into your n8n instance via Settings → Import from File Assign fal.ai and OpenAI credentials to the relevant HTTP Request and LLM nodes Activate the workflow—the form URL auto-generates in the trigger node Test by submitting a sample prompt (e.g., "A cat chasing a laser"); monitor executions for video output Adjust polling wait (60s node) for longer generations if needed 🎯 Use Cases Social Media Teams**: Generate 9:16 vertical Reels from text ideas, like quick product animations enhanced by GPT-5 for professional polish Content Marketers**: Animate uploaded images into 8s promo clips, e.g., turning a static ad graphic into a dynamic story for email campaigns Educators and Trainers**: Create 4s explainer videos from outlines, such as historical reenactments, using pro mode for detailed visuals App Developers**: Embed as a backend service to process user prompts into Sora 2 videos on-demand for creative tools ⚠️ Troubleshooting API quota exceeded**: Check fal.ai dashboard for usage limits; upgrade to pro tier or extend polling waits Prompt refinement fails**: Ensure GPT-5 credential is set and output matches JSON schema—test LLM node independently Image upload errors**: Confirm file is JPG/PNG under 10MB; verify tmpfiles.org endpoint with a manual curl test Endless polling loop**: Add an IF node after 10 checks to timeout; increase wait to 120s for 12s pro generations

Automatically upload your Instagram videos to YouTube with configurable time gaps between each upload, using n8n Tables for deduplication. How it works Fetches recent Instagram posts via the Meta Graph API and filters to only video content (VIDEO/REELS) Checks each video against an n8n Table to skip already-uploaded content Waits a configurable delay between uploads to space out your publishing schedule Processes metadata - extracts title from caption, converts hashtags to YouTube tags Uploads to YouTube with your configured privacy, category, and safety settings Records the upload in the n8n Table to prevent duplicates on future runs Set up steps Time estimate: 10-15 minutes Create an n8n Table with two text fields: postId and youtubeId Connect your Instagram credentials (Meta Developer Bearer Token) Connect your YouTube OAuth2 account Edit the Configuration node to set your preferred upload delay, privacy status, and category Activate the workflow Detailed setup instructions and configuration options are documented in the sticky notes inside the workflow. Required n8n Table | Field | Type | Purpose | |-------|------|---------| | postId | String | Stores the Instagram post ID to prevent re-uploading | | youtubeId | String | Stores the resulting YouTube video ID for reference | How to create: Go to n8n Tables in your n8n instance Create a new table named "Instagram To YouTube" Add two columns: postId (text) and youtubeId (text) Select this table in both the "Check If Already Uploaded" and "Save Upload Record" nodes Configuration Options Edit the Configuration node to customize: { "includeSourceLink": true, // Include Instagram link in description "waitTimeoutSeconds": 900, // Delay between uploads (900 = 15 min) "maxTitleLength": 100, // Maximum YouTube title length "categoryId": "24", // YouTube category (24 = Entertainment) "privacyStatus": "public", // public, private, or unlisted "notifySubscribers": false, // Send notifications to subscribers "defaultLanguage": "en", // Video language code "ageRestricted": false // Mark as 18+ content } Key Settings Explained | Setting | Default | Description | |---------|---------|-------------| | includeSourceLink | true | Set to false if your YouTube account can't add external links (unverified accounts) | | waitTimeoutSeconds | 900 | Gap between uploads in seconds. 900 = 15 minutes, 3600 = 1 hour | | ageRestricted | false | Set to true if your content is for mature audiences (18+) | | notifySubscribers | false | Set to true to notify subscribers on each upload | Requirements n8n version**: 1.0+ Instagram**: Meta Developer account with Graph API access and Bearer Token YouTube**: Google Cloud project with YouTube Data API v3 enabled and OAuth2 credentials Features Filters to VIDEO and REELS only (skips images) Smart title extraction from captions Hashtag to YouTube tags conversion Deduplication via n8n Tables COPPA compliance options (madeForKids settings) Configurable upload delays for drip-feeding content Category IDs Reference | ID | Category | |----|----------| | 1 | Film & Animation | | 10 | Music | | 17 | Sports | | 20 | Gaming | | 22 | People & Blogs | | 23 | Comedy | | 24 | Entertainment | | 25 | News & Politics | | 27 | Education | | 28 | Science & Technology |

Collaborate with an AI Agent on a joint document, e.g. for creating your content marketing strategy, a sales plan, project status updates, or market analysis. The AI Agent generates markdown text that you can review and edit it in gotoHuman, and only then is the existing Google Doc updated. In this example we use AI to update our company's content strategy for the next quarter. How It Works The AI Agent has access to other documents that provide enough context to write the content strategy. We ask it to generate the text in markdown format. To ensure our strategy document is not changed without our approval, we request a human review using gotoHuman. There the markdown content can be edited and properly previewed. Our workflow resumes once the review is completed. We check if the content was approved and then write the (potentially edited) markdown to our Google Docs file via the Google Drive node. How to set up Most importantly, install the verified gotoHuman node before importing this template! (Just add the node to a blank canvas before importing. Works with n8n cloud and self-hosted) Set up your credentials for gotoHuman, OpenAI, and Google Docs/Drive In gotoHuman, select and create the pre-built review template "Strategy agent" or import the ID: F4sbcPEpyhNKBKbG9C1d Select this template in the gotoHuman node Requirements You need accounts for gotoHuman (human supervision) OpenAI (Doc writing) Google Docs/Drive How to customize Let the workflow run on a schedule, or create and connect a manual trigger in gotoHuman that lets you capture additional human input to feed your agent Provide the agent with more context to write the content strategy Use the gotoHuman response (or a Google Drive file change trigger) to run additional AI agents that can execute on the new strategy

Generate SEO articles from search queries to WordPress with BrowserAct This workflow automates a programmatic SEO pipeline by turning a list of search queries into fully researched, authoritative blog posts. It scrapes search results (focusing on community insights like Reddit) for real-world data, uses AI to draft comprehensive guides, and publishes them directly to your WordPress site. Target Audience SEO specialists, content marketers, niche site builders, and editorial teams looking to scale content production with high-quality, researched articles. How it works Define Topics: The workflow begins by defining a list of target keywords or questions in a Set node (e.g., "Best automation tools"). Research: It iterates through each query using a Loop node. For each item, BrowserAct scrapes search engine results to gather raw insights, discussions, and market consensus. Draft Content: An AI Agent (acting as a "Senior Technical Editor") analyzes the raw data. It synthesizes the information into a structured, HTML-formatted article with tables, headers, and actionable advice. Publish: The generated content is sent to WordPress to create a new post. Notify: Once the entire batch is processed, a Slack message is sent to notify the team. How to set up Configure Credentials: Connect your BrowserAct, OpenRouter, WordPress, and Slack accounts in n8n. Prepare BrowserAct: Ensure the Programmatic SEO Data Pipeline template is saved in your BrowserAct account. Set Keywords: Open the Set queries node and update the Queries array with the list of topics you want to write about. Configure WordPress: Open the Create a post node and ensure it is connected to your WordPress site. Configure Notification: Open the Send completion notification node and select the Slack channel where you want to receive alerts. Requirements BrowserAct* account with the *Programmatic SEO Data Pipeline** template. OpenRouter** account (or credentials for a specific LLM like GPT-4o or GPT-5). WordPress** account. Slack** account. How to customize the workflow Adjust the Persona: Modify the system prompt in the AI Agent node to change the writing style (e.g., from "Technical Editor" to "Casual Blogger" or "Sales Copywriter"). Add Visuals: Insert an image generation node (like DALL-E or Stable Diffusion) before the WordPress node to create a unique featured image based on the article title. Review Loop: Instead of publishing directly, change the final step to add the draft to Google Docs or Notion for human approval. Need Help? How to Find Your BrowserAct API Key & Workflow ID How to Connect n8n to BrowserAct How to Use & Customize BrowserAct Templates Workflow Guidance and Showcase Video Automated Content Factory: From Reddit Data to SEO Blog Posts with n8n

Super simple workflow to convert image URLs to an uploaded attachment in Airtable. You'll need to adjust the field names to match your specific data, including in the filter formula where it says "Cover image URL". Just replace that with the field name where you are storing the image URL.

This is an example of how you can make Merge by Key work. The “Data 1” and “Data 2” nodes simply provide mock data. You can replace them with your own data sources. Then the “Convert Data” nodes are important. They make sure that the different array items are actually different items in n8n. After that, you have then the merge with the merged data.

Consolidate and compress project archives for cost-optimized cloud storage 🎯 Description Optimize your cloud storage costs by using this automation to intelligently compress and migrate aging project documentation. This workflow allows you to achieve a professional data lifecycle policy by identifying "stale" files in active storage, applying high-ratio PDF compression, and migrating them to cold storage while maintaining a searchable audit trail. A critical technical feature of this template is the Luxon-based lifecycle logic. By utilizing {{ $now.minus({ months: 6 }).toISODate() }}, the workflow dynamically filters for files that haven't been modified in over half a year. It then generates a unique archive path using {{ $now.toFormat('yyyy/MM_MMM') }}, ensuring your cold storage bucket remains perfectly indexed by year and month without any manual folder creation or renaming. ✨ How to achieve automated storage optimization You can achieve an enterprise-grade archiving system by using the available tools to: Monitor and age-gate — Use the Google Drive node to list project files and a Code node to compare file metadata against a 6-month "hot storage" threshold. Compress and verify — Pass identified files through the HTML to PDF compression engine to reduce file size by up to 80% while maintaining document readability. Migrate to cold storage — Stream the compressed binary directly to AWS S3 (or a dedicated archive folder), using dynamic naming conventions for organized retrieval. Log and notify — Automatically alert the IT team via Slack upon batch completion, providing a report on the specific files migrated and the storage path used. 💡 Key features Intelligent cost reduction** — Automatically targets large, old files for compression, significantly reducing long-term "Cold Storage" billing. Dynamic indexing* — Uses *Luxon** to build a chronological folder structure in the cloud, making multi-year archives easy to navigate. Integrity assurance** — The workflow ensures files meet specific age and type criteria before moving them, preventing accidental archival of active documents. 📦 What you will need Google Drive — Your "Hot" storage where active project files are kept. HTML to PDF Node — Used here for the PDF compression and optimization engine. AWS S3 — Your destination "Cold" storage for long-term archiving. Slack — For automated reporting on storage optimization status. Ready to optimize your cloud storage? Import this template, connect your credentials, and start saving on long-term data costs today.

This template gives your HR or operations team an AI-powered Slack bot that answers employee questions about internal policies — directly in DM, available to everyone in the workspace, with no per-user setup required. Employees simply send a direct message to the bot. It searches your Google Drive HR documents using RAG (Retrieval-Augmented Generation) via Pinecone, and replies in the same thread using GPT-4.1 — based strictly on your documents, not general knowledge. Who this is for HR, operations, and IT teams who want to reduce repetitive policy questions (leave, expenses, remote work, etc.) without building a custom chatbot from scratch. What's included This template contains two workflows on a single canvas: HR Document Indexer — Runs daily at 3:00 AM. Indexes all documents in a specified Google Drive folder into Pinecone automatically. HR QA Bot — Listens for Slack DMs workspace-wide. Filters out bot messages to prevent infinite loops, retrieves relevant document chunks, generates an answer, and replies in-thread. A built-in RAG quality evaluator automatically scores every response (faithfulness & answer relevancy) and logs results to Google Sheets for continuous quality monitoring. Key features Works for the entire Slack workspace with a single setup — no per-user configuration Strictly document-grounded answers — the bot will not hallucinate outside your documents Infinite loop prevention via bot_id filtering Automatic daily re-indexing with duplicate prevention (namespace clear before upsert) Built-in answer quality logging to Google Sheets Prerequisites Google Drive folder with HR documents (txt, pdf, docx) Pinecone account (index: dimension 1536, metric cosine) OpenAI API key Slack App with DM permissions (setup guide included in the workflow) Google Sheets (copy link provided in the workflow)