Create AI UGC Videos from Telegram Voice Notes using OpenAI & HeyGen

Description

Description 
Turn Telegram voice messages into AI-generated videos and send the video link back to the chat. This workflow listens for messages, downloads the file, transcribes the audio, generates a video via HeyGen, and returns the final URL. Fast, automated UGC creation right inside Telegram. ✨

What This Template Does 
Listens for new Telegram messages and triggers the flow.
Downloads attached files (e.g., voice memos).
Transcribes the voice memo to text.
Generates a video via HeyGen using the transcription.
Polls HeyGen for video status, waits with a short buffer, and sends the final video URL back.

Key Benefits 
Automates UGC creation from Telegram messages ⚡
Reduces manual steps from file handling to final video delivery 🧩
Keeps users in Telegram for a smooth, chat-native experience 📲
Modular nodes make it easy to customize or extend 🔧

Features 
Telegram message trigger and message updates 🛎️
File download and retrieval for processing 📥
Voice transcription step for audio-to-text 🎙️➡️📝
HeyGen video generation via POST and status checks via GET 🌐
10-second buffer to allow external processing ⏱️
Automatic return of the video URL to the chat 🔗

Requirements 
n8n instance (cloud or self-hosted) ⚙️
Telegram Bot credentials configured in n8n (to receive messages and send replies) 🤖
HeyGen API key for:
POST https://api.heygen.com/v2/video/generate
GET https://api.heygen.com/v1/video_status.get
A transcription step configured in n8n for converting voice memos to text (node present in this workflow) 🗣📝

Target Audience 
Teams creating AI UGC directly from chat workflows 📢
Marketing and social teams capturing quick briefs via voice 🧑
Agencies standardizing UGC production pipelines 🏢
Ops and support teams needing rapid content responses 🚀

Step-by-Step Setup Instructions (Concise) 
Connect Telegram Bot credentials in n8n and select the chat/channel for Message Trigger 🤝
Add your HeyGen API key in n8n Credentials and map it in the HTTP Request nodes 🔑
Ensure the transcription node is configured to convert audio to text and map output to video generation 🧭
Import the workflow, assign credentials to all nodes, and replace any placeholders 🧩
Run once to test end-to-end; adjust the 10s buffer if videos take longer ⏳