Convert LLM Output to Rich Telegram Messages - Auto-Media & Chunking - n8n Workflow | Neura Market

    Convert LLM Output to Rich Telegram Messages - Auto-Media & Chunking

    Transforms LLM outputs with text and media links into Telegram-friendly messages, automatically sending photos, audio, video with previews, and smartly chunking long text to fit limits.

    This n8n workflow converts long, mixed-media responses from LLMs or other sources into rich Telegram messages. It extracts URLs from the input, classifies them by type (images, audio, video), and sends them via dedicated Telegram nodes like sendPhoto, sendAudio, or sendVideo for optimal previews and playback. Plain text is checked against Telegram's 1000-character limit; if exceeded, it's intelligently sliced at line boundaries and sent in batches using SplitInBatches to ensure nothing is lost.
    Platform
    n8n
    Category
    Commerce
    Price
    $19.99
    Creator
    QualityWorkflows
    • Telegram
    • LLM
    • AI
    • Chatbot
    • Media
    • Automation
    • Chunking
    • n8n
    • Bots
    • Notifications
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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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