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Convert image to text using GROQ LLaVA V1.5 7B

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2/3/2026
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What this template does

This template uses GROQ LLAVA V1.5 7B API that offers fast inference for multimodal models with vision capabilities for understanding and interpreting visual data from images. .

The users send a image and get a description of the image from the model.

Setup

  • Open the Telegram app and search for the BotFather user (@BotFather)
  • Start a chat with the BotFather
  • Type /newbot to create a new bot
  • Follow the prompts to name your bot and get a unique API token
  • Save your access token and username
  • Once you set your bot, you can send the image, and get the descriptions.

n8n Workflow: Convert Image to Text using Groq LLaVA v1.5-7B

This n8n workflow enables you to extract text from images using the Groq LLaVA v1.5-7B model, all triggered directly from Telegram. Simply send an image to your Telegram bot, and the workflow will process it and return the extracted text.

What it does

This workflow automates the following steps:

  1. Listens for new images on Telegram: It acts as a Telegram bot, waiting for incoming messages that contain an image.
  2. Extracts image data: When an image is received, it extracts the binary data of the image.
  3. Prepares data for Groq API: It takes the extracted image data and formats it into a base64 encoded string, suitable for the Groq API. It also constructs the necessary JSON payload for the LLaVA v1.5-7B model, requesting it to describe the image.
  4. Sends request to Groq API: It makes an HTTP POST request to the Groq API endpoint for chat completions, sending the prepared image data and prompt.
  5. Processes Groq API response: It receives the response from the Groq API, which contains the extracted text description of the image.
  6. Sends extracted text back to Telegram: Finally, it sends the text generated by the LLaVA model back to the user who sent the image via Telegram.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running instance of n8n.
  • Telegram Bot Token: A Telegram bot set up with a BotFather token. You'll need to configure a Telegram credential in n8n.
  • Groq API Key: An API key from Groq to access their LLaVA v1.5-7B model. This will be used in the HTTP Request node.

Setup/Usage

  1. Import the workflow: Download the provided JSON and import it into your n8n instance.
  2. Configure Telegram Trigger:
    • Click on the "Telegram Trigger" node.
    • Select or create a new Telegram API credential using your bot token.
    • Activate the workflow to enable the webhook.
  3. Configure HTTP Request (Groq API):
    • Click on the "HTTP Request" node.
    • In the "Headers" section, add an Authorization header with the value Bearer YOUR_GROQ_API_KEY, replacing YOUR_GROQ_API_KEY with your actual Groq API Key.
    • Ensure the URL is set to https://api.groq.com/openai/v1/chat/completions.
    • The "Body Parameters" are already configured to send the image data and prompt.
  4. Configure Telegram (Send Response):
    • Click on the "Telegram" node.
    • Select the same Telegram API credential used in the trigger.
    • The "Chat ID" and "Text" fields are already configured to send the response back to the original sender with the extracted text.
  5. Activate the workflow: Once all credentials and configurations are set, activate the workflow.

Now, you can send an image to your Telegram bot, and it will respond with a text description generated by the Groq LLaVA v1.5-7B model.

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