Back to Catalog

Create authentic UGC video ads with GPT-4o, ElevenLabs & WaveSpeed lip-sync

Muhammad Farooq IqbalMuhammad Farooq Iqbal
1414 views
2/3/2026
Official Page

This n8n template demonstrates how to create authentic-looking User Generated Content (UGC) advertisements using AI image generation, voice synthesis, and lip-sync technology. The workflow transforms product images into realistic customer testimonial videos that mimic genuine user reviews and social media content.

Use cases are many: Generate authentic UGC-style ads for social media campaigns, create customer testimonial videos without hiring influencers, produce localized UGC content for different markets, automate TikTok/Instagram-style product reviews, or scale UGC ad production for e-commerce brands!

Good to know

  • The workflow creates UGC-style content that appears genuine and authentic
  • Uses multiple AI services: OpenAI GPT-4o for analysis, ElevenLabs for voice synthesis, and WaveSpeed AI for image generation and lip-sync
  • Voice synthesis costs vary by ElevenLabs plan (typically $0.18-$0.30 per 1K characters)
  • WaveSpeed AI pricing: ~$0.039 per image generation, additional costs for lip-sync processing
  • Processing time: ~3-5 minutes per complete UGC video
  • Optimized for Malaysian-English content but easily adaptable for global markets

How it works

  1. Product Input: The Telegram bot receives product images to create UGC ads for
  2. AI Analysis: ChatGPT-4o analyzes the product to understand brand, colors, and target demographics
  3. UGC Content Creation: AI generates authentic-sounding testimonial scripts and detailed prompts for realistic customer scenarios
  4. Character Generation: WaveSpeed AI creates believable customer avatars that look like real users reviewing products
  5. Voice Synthesis: ElevenLabs generates natural, conversational audio using gender-appropriate voice models
  6. UGC Video Production: WaveSpeed AI combines generated characters with audio to create TikTok/Instagram-style review videos
  7. Content Delivery: Final UGC videos are delivered via Telegram, ready for social media posting

The workflow produces UGC-style content that maintains authenticity while showcasing products in realistic, relatable scenarios that resonate with target audiences.

How to use

  1. Setup Credentials: Configure OpenAI API, ElevenLabs API, WaveSpeed AI API, Cloudinary, and Telegram Bot credentials
  2. Deploy Workflow: Import the template and activate the workflow
  3. Send Product Images: Use the Telegram bot to send product images you want to create UGC ads for
  4. Automatic UGC Generation: The workflow will automatically create authentic-looking customer testimonial videos
  5. Receive UGC Content: Get both testimonial images and final UGC videos ready for social media campaigns

Pro tip: The workflow automatically detects product demographics and creates appropriate customer personas. For best UGC results, use clear product images that show the item in use.

Requirements

  • OpenAI API account for GPT-4o product analysis and UGC script generation
  • ElevenLabs API account for authentic voice synthesis (requires voice cloning credits)
  • WaveSpeed AI API account for realistic character generation and lip-sync processing
  • Cloudinary account for UGC content storage and hosting
  • Telegram Bot setup for content input and delivery
  • n8n instance (cloud or self-hosted)

Customizing this workflow

Platform-Specific UGC: Modify prompts to create UGC content optimized for TikTok, Instagram Reels, YouTube Shorts, or Facebook Stories.

Brand Voice: Adjust testimonial scripts and character personas to match your brand's target audience and tone.

Regional Adaptation: Customize language, cultural references, and character demographics for different markets and demographics.

UGC Style Variations: Create different UGC formats - unboxing videos, before/after comparisons, day-in-the-life content, or product demonstrations.

Influencer Personas: Develop specific customer personas (age groups, lifestyles, interests) to create targeted UGC content for different audience segments.

Content Scaling: Set up batch processing to generate multiple UGC variations for A/B testing different approaches and styles.

Create Authentic UGC Video Ads with GPT-4o, ElevenLabs & WaveSpeed Lip Sync

This n8n workflow automates the creation of user-generated content (UGC) video ads by leveraging AI for script generation, voice synthesis, and lip-syncing. It streamlines the process from a simple Telegram command to a ready-to-use video ad, making it ideal for marketers and content creators looking to rapidly produce engaging video content.

What it does

This workflow takes a Telegram command, generates a video ad script, synthesizes audio, and then uses a third-party service for lip-syncing to create a video.

  1. Listens for Telegram Commands: The workflow is triggered by a specific command received in a Telegram chat.
  2. Generates Video Ad Script: An AI agent (likely GPT-4o) is used to generate a compelling video ad script based on the Telegram input.
  3. Synthesizes Audio: The generated script is converted into natural-sounding speech using an ElevenLabs tool.
  4. Initiates Lip Sync Video Creation: The synthesized audio and a specified video are sent to a WaveSpeed Lip Sync API to generate a lip-synced video.
  5. Monitors Lip Sync Progress: The workflow periodically checks the status of the video generation process via the WaveSpeed API.
  6. Downloads Final Video: Once the video is ready, it downloads the completed lip-synced video.
  7. Sends Video to Telegram: The final video ad is sent back to the Telegram chat where the process was initiated.
  8. Handles Errors: If the video generation fails, it sends an error message to the Telegram chat.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running instance of n8n.
  • Telegram Bot Token: A Telegram bot configured and its token for the Telegram Trigger and Telegram nodes.
  • OpenAI API Key: An OpenAI API key for the AI Agent and OpenAI Chat Model nodes (likely for GPT-4o).
  • ElevenLabs API Key: An ElevenLabs API key for the ElevenLabs tool used within the AI Agent for voice synthesis.
  • WaveSpeed API Key: An API key for the WaveSpeed Lip Sync service to create the lip-synced videos.
  • Pre-recorded Video: A base video file to be used for lip-syncing. This workflow assumes a default video URL or an input to specify it.

Setup/Usage

  1. Import the Workflow:
    • Download the provided JSON file.
    • In your n8n instance, click on "Workflows" in the left sidebar.
    • Click "New" -> "Import from JSON" and paste the workflow JSON or upload the file.
  2. Configure Credentials:
    • For the Telegram Trigger and Telegram nodes: Create a new Telegram API credential using your bot token.
    • For the AI Agent and OpenAI Chat Model nodes: Create an OpenAI API credential with your OpenAI API Key.
    • For the ElevenLabs tool (within the AI Agent): Ensure your ElevenLabs API key is configured as a credential in n8n and accessible to the LangChain nodes.
    • For the HTTP Request nodes interacting with WaveSpeed: Configure an HTTP Basic Auth or API Key credential as required by the WaveSpeed API documentation.
  3. Activate the Workflow:
    • Ensure all necessary credentials are set up.
    • Click the "Activate" toggle in the top right corner of the workflow editor to enable it.
  4. Trigger the Workflow:
    • Send the configured command (e.g., /create_ad) to your Telegram bot, followed by your ad prompt.
    • The workflow will process your request and send the generated video ad back to you in Telegram.

Related Templates

Track 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.

Ranjan DailataBy Ranjan Dailata
161

Generate 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

Daniel NkenchoBy Daniel Nkencho
601

Automate invoice processing with OCR, GPT-4 & Salesforce opportunity creation

PDF Invoice Extractor (AI) End-to-end pipeline: Watch Drive ➜ Download PDF ➜ OCR text ➜ AI normalize to JSON ➜ Upsert Buyer (Account) ➜ Create Opportunity ➜ Map Products ➜ Create OLI via Composite API ➜ Archive to OneDrive. --- Node by node (what it does & key setup) 1) Google Drive Trigger Purpose: Fire when a new file appears in a specific Google Drive folder. Key settings: Event: fileCreated Folder ID: google drive folder id Polling: everyMinute Creds: googleDriveOAuth2Api Output: Metadata { id, name, ... } for the new file. --- 2) Download File From Google Purpose: Get the file binary for processing and archiving. Key settings: Operation: download File ID: ={{ $json.id }} Creds: googleDriveOAuth2Api Output: Binary (default key: data) and original metadata. --- 3) Extract from File Purpose: Extract text from PDF (OCR as needed) for AI parsing. Key settings: Operation: pdf OCR: enable for scanned PDFs (in options) Output: JSON with OCR text at {{ $json.text }}. --- 4) Message a model (AI JSON Extractor) Purpose: Convert OCR text into strict normalized JSON array (invoice schema). Key settings: Node: @n8n/n8n-nodes-langchain.openAi Model: gpt-4.1 (or gpt-4.1-mini) Message role: system (the strict prompt; references {{ $json.text }}) jsonOutput: true Creds: openAiApi Output (per item): $.message.content → the parsed JSON (ensure it’s an array). --- 5) Create or update an account (Salesforce) Purpose: Upsert Buyer as Account using an external ID. Key settings: Resource: account Operation: upsert External Id Field: taxid_c External Id Value: ={{ $json.message.content.buyer.tax_id }} Name: ={{ $json.message.content.buyer.name }} Creds: salesforceOAuth2Api Output: Account record (captures Id) for downstream Opportunity. --- 6) Create an opportunity (Salesforce) Purpose: Create Opportunity linked to the Buyer (Account). Key settings: Resource: opportunity Name: ={{ $('Message a model').item.json.message.content.invoice.code }} Close Date: ={{ $('Message a model').item.json.message.content.invoice.issue_date }} Stage: Closed Won Amount: ={{ $('Message a model').item.json.message.content.summary.grand_total }} AccountId: ={{ $json.id }} (from Upsert Account output) Creds: salesforceOAuth2Api Output: Opportunity Id for OLI creation. --- 7) Build SOQL (Code / JS) Purpose: Collect unique product codes from AI JSON and build a SOQL query for PricebookEntry by Pricebook2Id. Key settings: pricebook2Id (hardcoded in script): e.g., 01sxxxxxxxxxxxxxxx Source lines: $('Message a model').first().json.message.content.products Output: { soql, codes } --- 8) Query PricebookEntries (Salesforce) Purpose: Fetch PricebookEntry.Id for each Product2.ProductCode. Key settings: Resource: search Query: ={{ $json.soql }} Creds: salesforceOAuth2Api Output: Items with Id, Product2.ProductCode (used for mapping). --- 9) Code in JavaScript (Build OLI payloads) Purpose: Join lines with PBE results and Opportunity Id ➜ build OpportunityLineItem payloads. Inputs: OpportunityId: ={{ $('Create an opportunity').first().json.id }} Lines: ={{ $('Message a model').first().json.message.content.products }} PBE rows: from previous node items Output: { body: { allOrNone:false, records:[{ OpportunityLineItem... }] } } Notes: Converts discount_total ➜ per-unit if needed (currently commented for standard pricing). Throws on missing PBE mapping or empty lines. --- 10) Create Opportunity Line Items (HTTP Request) Purpose: Bulk create OLIs via Salesforce Composite API. Key settings: Method: POST URL: https://<your-instance>.my.salesforce.com/services/data/v65.0/composite/sobjects Auth: salesforceOAuth2Api (predefined credential) Body (JSON): ={{ $json.body }} Output: Composite API results (per-record statuses). --- 11) Update File to One Drive Purpose: Archive the original PDF in OneDrive. Key settings: Operation: upload File Name: ={{ $json.name }} Parent Folder ID: onedrive folder id Binary Data: true (from the Download node) Creds: microsoftOneDriveOAuth2Api Output: Uploaded file metadata. --- Data flow (wiring) Google Drive Trigger → Download File From Google Download File From Google → Extract from File → Update File to One Drive Extract from File → Message a model Message a model → Create or update an account Create or update an account → Create an opportunity Create an opportunity → Build SOQL Build SOQL → Query PricebookEntries Query PricebookEntries → Code in JavaScript Code in JavaScript → Create Opportunity Line Items --- Quick setup checklist 🔐 Credentials: Connect Google Drive, OneDrive, Salesforce, OpenAI. 📂 IDs: Drive Folder ID (watch) OneDrive Parent Folder ID (archive) Salesforce Pricebook2Id (in the JS SOQL builder) 🧠 AI Prompt: Use the strict system prompt; jsonOutput = true. 🧾 Field mappings: Buyer tax id/name → Account upsert fields Invoice code/date/amount → Opportunity fields Product name must equal your Product2.ProductCode in SF. ✅ Test: Drop a sample PDF → verify: AI returns array JSON only Account/Opportunity created OLI records created PDF archived to OneDrive --- Notes & best practices If PDFs are scans, enable OCR in Extract from File. If AI returns non-JSON, keep “Return only a JSON array” as the last line of the prompt and keep jsonOutput enabled. Consider adding validation on parsing.warnings to gate Salesforce writes. For discounts/taxes in OLI: Standard OLI fields don’t support per-line discount amounts directly; model them in UnitPrice or custom fields. Replace the Composite API URL with your org’s domain or use the Salesforce node’s Bulk Upsert for simplicity.

Le NguyenBy Le Nguyen
942