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

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

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 image...

Best for

Content Creation automation workflows
Multimodal AI automation workflows
intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.telegramtrigger, n8n-nodes-base.telegram, n8n-nodes-base.set, n8n-nodes-base.httprequest, n8n-nodes-base.extractfromfile, n8n-nodes-base.stickynote

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by felipe biava cataneo.

Original n8n.io source

1.1 Workflow description

Title: Convert image to text using GROQ LLaVA V1.5 7B
Workflow name: Convert image to text using GROQ LLaVA V1.5 7B

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.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Telegram Trigger

Type / Role: n8n-nodes-base.telegramTrigger - telegramTrigger
Config choices: Version 1.1

Block 2 - Telegram send the text

Type / Role: n8n-nodes-base.telegram - telegram
Config choices: Version 1.2

Block 3 - Get only the text

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 4 - HTTP Request GROQ LLAVA

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 5 - convert the image file to base64

Type / Role: n8n-nodes-base.extractFromFile - extractFromFile
Config choices: Version 1

Block 6 - Receive the File

Type / Role: n8n-nodes-base.telegram - telegram
Config choices: Version 1.2

Block 7 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 8 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

3. Summary Table

Workflow	Convert image to text using GROQ LLaVA V1.5 7B
Complexity	intermediate
Nodes	8
Categories	Content Creation, Multimodal AI
Author	felipe biava cataneo
Published	27 Sept 2024

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/2437/2437.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Content Creation workflows Multimodal AI workflows

Frequently asked questions

What does Convert image to text using GROQ LLaVA V1.5 7B do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Content Creation, Multimodal AI use case.

felipe biava cataneo

2 workflows

Nodes

n8n-nodes-base.telegramtrigger n8n-nodes-base.telegram n8n-nodes-base.set n8n-nodes-base.httprequest n8n-nodes-base.extractfromfile n8n-nodes-base.stickynote

Complexity

intermediate

Published 27 Sept 2024

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/2437/2437.json

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

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

What this template does

Setup

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Telegram Trigger

Block 2 - Telegram send the text

Block 3 - Get only the text

Block 4 - HTTP Request GROQ LLAVA

Block 5 - convert the image file to base64

Block 6 - Receive the File

Block 7 - Sticky Note

Block 8 - Sticky Note1

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions