Transform LLM Outputs into Rich Telegram Messages with Auto-Media Handling
This workflow converts long, mixed-media outputs from a language model into Telegram-friendly messages, ensuring seamless media integration and text chunking.
Designed for developers of Telegram chatbots and AI assistants, this workflow processes outputs containing text and media links from language models. It extracts media links, categorizes them, and sends them as appropriate media messages (photos, audio, video) in Telegram. Text exceeding Telegram's character limit is automatically split into manageable chunks and sent sequentially, ensuring no information is lost.
New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.
Related bundle
Customer Support Automation Suite
8 hand-picked workflows for $39.00.
That is $4.88 each, vs $14.99 for this one alone.
View bundleSecure checkout powered by Stripe
Support
How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
Related Communication workflows
- Automate Outbound Calls with Ultravox AI and Twilio$4.99
- Automate Intelligent Email Classification with AI in Gmail$4.99
- Generate AI videos and carousels with Blotato for Instagram and TikTok$9.99
- Automating WhatsApp Replies Using GoHighLevel with Redis and Anthropic$24.99
- Automate Gmail Email Labeling with AI for Enhanced Organization$14.99
- Automate Email Summarization and Logging with AI and Google Sheets$9.99
More from Isaac Cohen
Need this deployed? We'll set it up for you.
Our automation experts deploy this workflow in your stack, connect your accounts, and verify it works — or build a custom solution from scratch.