Build a WhatsApp assistant for text, audio & images using GPT-4o & Evolution API

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Important notice

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

1. Workflow Overview

Best for

Support Chatbot automation workflows
AI Chatbot automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.stickynote, n8n-nodes-base.webhook, n8n-nodes-base.set, n8n-nodes-base.filter, n8n-nodes-base.wait, n8n-nodes-evolution-api.evolutionapi, n8n-nodes-base.switch, n8n-nodes-base.converttofile

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Antonio Gasso.

Original n8n.io source

1.1 Workflow description

Title: Build a WhatsApp assistant for text, audio & images using GPT-4o & Evolution API
Workflow name: Build a WhatsApp assistant for text, audio & images using GPT-4o & Evolution API

Build an intelligent WhatsApp assistant that automatically responds to customer messages using AI. This template uses the Evolution API community node for WhatsApp integration and OpenAI for natural language processing, with built-in conversation memory powered by Redis to maintain context across messages.

> ⚠️ Self-hosted requirement: This workflow uses the Evolution API community node, which is only available on self-hosted n8n instances. It will not work on n8n Cloud.

What this workflow does

Receives incoming WhatsApp messages via Evolution API webhook
Filters and processes text, audio, and image messages
Transcribes audio messages using OpenAI Whisper
Analyzes images using GPT-4 Vision
Generates contextual responses with conversation memory
Sends replies back through WhatsApp

Who is this for?

Businesses wanting to automate customer support on WhatsApp
Teams needing 24/7 automated responses with AI
Developers building multimodal chat assistants
Companies looking to reduce response time on WhatsApp

Setup instructions

Evolution API: Install and configure Evolution API on your server. Create an instance and obtain your API key and instance name.
Redis: Set up a Redis instance for conversation memory. You can use a local installation or a cloud service like Redis Cloud.
OpenAI: Get your API key from platform.openai.com with access to GPT and Whisper models.
Webhook: Configure your Evolution API instance to send webhooks to your n8n webhook URL.

Customization options

Modify the system prompt in the AI node to change the assistant's personality and responses
Adjust the Redis TTL to control how long conversation history is retained
Add additional message type handlers for documents, locations, or contacts
Integrate with your CRM or database to personalize responses

Credentials required

Evolution API credentials (self-hosted)
OpenAI API key
Redis connection

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 - Main Overview

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

Block 2 - Warning - Setup

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

Block 3 - Section 1 - Receive

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

Block 4 - Section 2 - Mark Read

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

Block 5 - Section 3 - Router

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

Block 6 - Section 4 - Media Processing

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

Block 7 - Section 5 - Queue

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

Block 8 - Section 6 - Check

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

Block 9 - Section 7 - AI

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

Block 10 - Section 8 - Format

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

Block 11 - Section 9 - Send

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

Block 12 - Receive WhatsApp

Type / Role: n8n-nodes-base.webhook - webhook
Config choices: Version 2.1

Block 13 - Parse Message Data

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

Block 14 - Filter Allowed Numbers

Type / Role: n8n-nodes-base.filter - filter
Config choices: Version 2.2

Block 15 - Wait 2s

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

Block 16 - Mark as Read

Type / Role: n8n-nodes-evolution-api.evolutionApi - evolutionApi
Config choices: Version 1

Block 17 - Route by Message Type

Type / Role: n8n-nodes-base.switch - switch
Config choices: Version 3.3

Block 18 - Extract Text

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

Block 19 - Extract Audio Base64

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

Block 20 - Convert to Audio

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

Block 21 - Transcribe Audio

Type / Role: @n8n/n8n-nodes-langchain.openAi - openAi
Config choices: Version 2

Block 22 - Format Audio Input

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

Block 23 - Extract Image Base64

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

Block 24 - Convert to Image

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

Showing the first 24 of 54 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow	Build a WhatsApp assistant for text, audio & images using GPT-4o & Evolution API
Complexity	advanced
Nodes	54
Categories	Support Chatbot, AI Chatbot
Author	Antonio Gasso
Published	12 Dec 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/11754/11754.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 Support Chatbot workflows AI Chatbot workflows

Frequently asked questions

What does Build a WhatsApp assistant for text, audio & images using GPT-4o & Evolution API 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 Support Chatbot, AI Chatbot use case.

Antonio Gasso

4 workflows

Nodes

n8n-nodes-base.stickynote n8n-nodes-base.webhook n8n-nodes-base.set n8n-nodes-base.filter n8n-nodes-base.wait n8n-nodes-evolution-api.evolutionapi n8n-nodes-base.switch n8n-nodes-base.converttofile

Complexity

advanced

Published 12 Dec 2025

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/11754/11754.json

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Build a WhatsApp assistant for text, audio & images using GPT-4o & Evolution API

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

What this workflow does

Who is this for?

Setup instructions

Customization options

Credentials required

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Main Overview

Block 2 - Warning - Setup

Block 3 - Section 1 - Receive

Block 4 - Section 2 - Mark Read

Block 5 - Section 3 - Router

Block 6 - Section 4 - Media Processing

Block 7 - Section 5 - Queue

Block 8 - Section 6 - Check

Block 9 - Section 7 - AI

Block 10 - Section 8 - Format

Block 11 - Section 9 - Send

Block 12 - Receive WhatsApp

Block 13 - Parse Message Data

Block 14 - Filter Allowed Numbers

Block 15 - Wait 2s

Block 16 - Mark as Read

Block 17 - Route by Message Type

Block 18 - Extract Text

Block 19 - Extract Audio Base64

Block 20 - Convert to Audio

Block 21 - Transcribe Audio

Block 22 - Format Audio Input

Block 23 - Extract Image Base64

Block 24 - Convert to Image

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