TelegramTrigger Automate

For Telegram, this automated workflow captures incoming voice and text messages, transcribes voice messages into text using OpenAI's Whisper API, and generates engaging social media content along with a detailed image prompt. It streamlines communication and content creation, making it easier to engage users effectively.

7/8/2025
16 nodes
Complex
manualcomplextelegramtriggertelegramlangchainsticky noteextractfromfileadvancedcommunicationbotlogicroutingfilesstorageapiintegration
Categories:
Communication & MessagingComplex WorkflowManual Triggered
Integrations:
TelegramTriggerTelegramLangChainSticky NoteExtractFromFile

Target Audience

This workflow is ideal for:
- Social Media Managers: Those who need to create engaging content quickly from user interactions.
- Content Creators: Individuals looking to automate the process of generating social media posts and visuals from messages.
- Marketers: Professionals who want to leverage user-generated content for promotional purposes.
- Developers: Tech-savvy users who wish to integrate Telegram with AI-driven content creation tools.
- Businesses: Organizations aiming to enhance customer engagement through automated responses and content generation.

Problem Solved

This workflow addresses the challenge of efficiently transforming user messages from Telegram into engaging social media content and visuals. By automating the process of content creation from both text and voice messages, it saves time and ensures that businesses can maintain a consistent online presence without manual effort.

Workflow Steps

  • Receive Messages: The workflow starts by listening for incoming messages from Telegram users, capturing both text and voice inputs.
    2. Determine Message Type: A switch node evaluates whether the received message is a voice message or text.
    3. Fetch Voice Messages: If a voice message is detected, it fetches the audio file from Telegram.
    4. Transcribe Audio: The audio is transcribed into text using OpenAI's Whisper API, converting voice messages into readable content.
    5. Prepare for AI Processing: The text from messages is prepared for processing by an AI agent, ensuring it is formatted correctly for content generation.
    6. AI Content Generation: The AI agent utilizes SerpAPI to research the topic, then generates engaging social media content and an image prompt based on the findings.
    7. Generate Visuals: An image is created using the generated image prompt through a Hugging Face API, producing a visual representation of the content.
    8. Output Final Content: Finally, the workflow compiles the generated text and image into a structured format for easy use in social media platforms.

    • Customization Guide

    Users can customize this workflow by:
    - Modifying Triggers: Change the Telegram trigger settings to listen for specific types of messages or commands.
    - Adjusting AI Prompts: Edit the AI agent's prompts to align with specific branding or content guidelines.
    - Integrating Additional APIs: Add other APIs for enhanced functionality, such as analytics tools to track engagement.
    - Customizing Output Formats: Tailor the final output structure to fit different social media platforms or personal preferences.
    - Adding Conditions: Introduce additional logic nodes to handle different message types or user interactions more effectively.