Process Multiple Media Files in Telegram with Gemini AI & PostgreSQL Database
# Telegram AI Assistant with Multi-File Media Group Handling, Smart File Processing & PostgreSQL Integration > **AI-powered Telegram bot for text, voice, video, documents & media** - with database-driven grouping and Telegram-safe formatting. --- ## Description This n8n template creates a **next-generation Telegram AI assistant** capable of handling **text messages, media files, and documents** with advanced processing, PostgreSQL integration, and AI-powered responses. It is designed to **solve Telegram's media group challenge** - when multiple files are sent together, they are stored, processed, and combined into one coherent AI-generated reply. ### Key Features - **Multi-file media group management** with PostgreSQL: - `media_group` - `media_queue` - `chat_histories` - **Document parsing** for CSV, HTML, ICS, JSON, ODS, PDF (with AI fallback), RF, X, XML, and spreadsheets. - **Voice & video transcription** for AI analysis. - **Image, audio, and video description** for richer AI context. - **Telegram-safe MarkdownV2 formatting** with auto-splitting for messages over 4096 chars. - **Error fallback** for unsupported file types. --- ## Acknowledgment A huge thank you to **Ezema Gingsley Chibuzo** for the inspiration of the first version of this workflow: [Create a Multi-Modal Telegram Support Bot with GPT-4 and Supabase RAG](https://n8n.io/workflows/5589-create-a-multi-modal-telegram-support-bot-with-gpt-4-and-supabase-rag/) Your pioneering work laid the foundation for this improved, **database-powered multi-modal assistant**. --- ## Tags `telegram` `ai-assistant` `postgresql` `multi-file` `media-group` `file-processing` `voice-transcription` `document-parser` `pdf-extraction` `markdown-formatting` `n8n-template` --- ## Use Case Use this template if you need an AI-powered Telegram bot that can: - Handle **multiple files sent in a single message** (albums, multiple PDFs, etc.). - Extract & analyze **content from many file formats**. - Transcribe **voice and video messages**. - Maintain **chat memory** for contextual AI answers. - Avoid **Telegram formatting errors** and length limit issues. This workflow automates the full chain: **Receive → Process → AI Analysis → Telegram-safe Reply**. --- ## Example User Interactions - **Multiple PDFs with a caption** → AI extracts and summarizes all PDFs in one combined reply. - **Voice message** → AI transcribes and replies with a contextual answer. - **CSV or spreadsheet file** → AI parses and summarizes the data. - **Multiple images** → AI describes each image and replies in a single message. --- ## Required Credentials - **Telegram Bot API** (Bot Token) - **PostgreSQL** (Connection credentials) - **AI Provider API** (OpenAI, Google Gemini, or compatible LLM) --- ## Setup Instructions 1. **Create the PostgreSQL tables** (Gray section SQL): - `media_group` - `media_queue` - `chat_histories` 2. Configure the **Telegram Trigger** with your bot token. 3. Connect your **AI provider** credentials. 4. Set up **PostgreSQL** credentials in the database nodes. 5. Deploy the workflow in n8n. 6. Start sending messages and files to your bot. --- ## Extra Notes - **Green section** ensures only one trigger per media group. - **Yellow section** guarantees captions and files are stored in the correct sequence. - **Purple section** formats AI output to be Telegram-safe and split if needed. - AI prompt is **not fixed**, allowing full customization. --- ## Need Assistance? If you'd like help customizing or extending this workflow, feel free to reach out: - Email: [johnsilva11031@gmail.com](mailto:johnsilva11031@gmail.com) - LinkedIn: [John Alejandro Silva Rodríguez](https://www.linkedin.com/in/john-alejandro-silva-rodriguez-48093526b/)
- Platform
- n8n
- Category
- AI
- Price
- $24.99
- Creator
- John Alejandro SIlva
- if
- set
- code
- html
- wait
- merge
- switch
- postgres
- telegram
- aggregate
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.
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