Wikipedia Podcast Telegram Agent - Template

# Welcome to my Wikipedia Podcast Telegram Agent Workflow!

## This workflow has the following sequence:

1. **Telegram Trigger** - Receives incoming messages (text or voice) from users via Telegram bot
2. **Text or Voice Switch** - Routes the message based on input type (text message vs. voice message)
3. **Voice Message Processing** (if voice input):
   - Retrieval of voice file from Telegram
   - Transcription of voice message to text using OpenAI Whisper
4. **Text Message Preparation** (if text input) - Prepares the text message for the AI agent
5. **Wikipedia Podcast Agent** - Core AI agent that:
   - Researches the requested topic using Wikipedia tool
   - Creates a professional 5-minute podcast script (600-750 words)
   - Follows structured format: intro, main content, outro
   - Uses conversational, accessible, and enthusiastic tone
6. **ElevenLabs Text to Speech** - Converts the podcast script into natural-sounding audio using AI voice synthesis
7. **Send Voice Response** - Delivers the generated podcast audio back to the user via Telegram

## The following accesses are required for the workflow:

- **Telegram Bot API**: [Documentation](https://docs.n8n.io/integrations/builtin/credentials/telegram/)
- **Anthropic API** (Claude 4 Sonnet): [Documentation](https://docs.n8n.io/integrations/builtin/credentials/anthropic/)
- **OpenAI API** (for voice transcription): [Documentation](https://docs.n8n.io/integrations/builtin/credentials/openai/)
- **ElevenLabs API** (for text-to-speech): [Documentation](https://github.com/n8n-ninja/n8n-nodes-elevenlabs?tab=readme-ov-fil/)

## Workflow Features:

- **Multi-input support**: Accepts both text and voice messages from Telegram users
- **Wikipedia integration**: Automatically researches topics using Wikipedia data
- **Professional podcast generation**: Creates structured, engaging 5-minute podcast episodes
- **Natural voice synthesis**: Converts text to high-quality speech using AI
- **Seamless user experience**: Users receive audio responses directly in Telegram chat

## Use Cases:

- Educational content creation
- Quick Wikipedia topic summaries in podcast format
- Accessibility tool for consuming Wikipedia content
- Personal learning assistant
- Content creation for social media or educational purposes

You can contact me via LinkedIn, if you have any questions: https://www.linkedin.com/in/friedemann-schuetzt