Telegram Voice Messages Transformed by AI and ElevenLabs
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This workflow converts Telegram voice messages into text using ElevenLabs, processes it with an AI Agent for intelligent responses, and then converts the output back into speech using ElevenLabs, sending it as an audio file back to Telegram.
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About This Workflow
Overview
This n8n workflow is designed to automate the processing of voice messages received through Telegram. It leverages the power of ElevenLabs for speech-to-text and text-to-speech conversion, and an AI Agent (likely powered by a language model like OpenRouter) to understand and respond to the message's content. The workflow solves the problem of needing to manually transcribe voice messages and formulate responses, offering an automated, intelligent conversational agent directly within Telegram.
Key Features
- Triggers on new Telegram voice messages.
- Transcribes voice messages to text using ElevenLabs.
- Processes transcribed text with an AI Agent for intelligent response generation.
- Converts AI-generated text responses back into speech using ElevenLabs.
- Sends the audio response back to the original Telegram chat.
How To Use
- Set up the Telegram Trigger node with your desired Telegram bot.
- Configure the Get a file and Transcribe audio or video nodes, ensuring your ElevenLabs API key is connected for voice-to-text.
- Connect an AI Agent (e.g., using OpenRouter Chat Model) to process the transcribed text and generate a response.
- Configure the Convert text to speech node with your ElevenLabs API key to generate an audio response.
- Set up the Send an audio file node to send the audio response back to the originating Telegram chat.
- Test the workflow by sending a voice message to your Telegram bot.
Apps Used
Workflow JSON
{
"id": "526545e5-bf59-4fc1-b0b7-3b731aadbd38",
"name": "Telegram Voice Messages Transformed by AI and ElevenLabs",
"nodes": 0,
"category": "Telegram Automation",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 526545e5-bf59...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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