Automate Telegram Messages with Google Perspective Analysis

This workflow automates Telegram message responses based on toxic language detection using Google Perspective.

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This workflow connects Telegram and Google Perspective to enhance communication by filtering out toxic language. When a user sends a message in Telegram, the workflow triggers and analyzes the text for potential toxicity using the Google Perspective API. The workflow is designed to automatically respond to messages containing profanity or harmful content, ensuring a safer environment for all users.

The core benefit of this workflow is its ability to provide real-time feedback to users on their language, promoting healthier communication. By integrating the Google Perspective API, it not only detects but also categorizes the type of toxicity present in messages, allowing for tailored responses. This can be particularly useful for community managers and moderators who wish to maintain a respectful dialogue within their groups.

Additionally, the automation saves time and effort for moderators who would otherwise need to manually monitor and respond to inappropriate messages. With this system in place, users are immediately notified if their language is deemed unacceptable, fostering awareness and encouraging better communication habits. This workflow is ideal for online communities, educational groups, and any platform where respectful communication is a priority.

Overall, this Telegram automation workflow serves as an effective tool for enhancing user interaction, maintaining community standards, and promoting positive engagement among users.

$19.16
Last updated October 3, 2026
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How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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