Latenode
WhatsApp Business Cloud
Whisper

Automate WhatsApp with AI: Process text, voice, images & PDFs

The AI-powered WhatsApp chatbot is a multimodal automation tool that allows users to interact with an AI assistant via WhatsApp. The chatbot can understand and respond to text, voice notes, images, and PDF documents, while maintaining conversation history for context-aware interactions.

Powered by OpenAI models, the chatbot processes the incoming messages, generates relevant responses, and sends them back through WhatsApp. For voice inputs, the AI's response is converted to speech and delivered as a voice message. This solution is designed to provide a natural, personalized, and efficient communication experience for WhatsApp users.

Updated Apr 2, 2026Est. run: 11sEst. cost: $0.0007
How Latenode estimates time and cost

Latenode bills workflow runs in credits: 1 credit = 30 seconds of processing. Minimum charge per run depends on your plan. Plug-and-Play (PnP) AI nodes are billed separately—each PnP token is $1 USD, charged pay-as-you-go at vendor cost plus a small processing fee, with no API keys required.

Full pricing — how credits work →
Messaging & bots

Workflow preview

What this template does

  • Processes text, voice, images, and PDF messages from WhatsApp users
  • Generates relevant responses using OpenAI models
  • Converts AI responses to speech for voice message delivery
  • Maintains conversation history for context-aware interactions
  • Provides a personalized and efficient communication experience for WhatsApp users

How it works

1
Trigger

Receive WhatsApp Messages

The AI-powered WhatsApp chatbot listens for incoming WhatsApp messages from users.

2
Logic

Transcribe Audio Messages

Voice notes are transcribed to text using the OpenAI Whisper model.

3
AI

Analyze Text, Images, and PDFs

The chatbot processes the text messages, transcripts, images, and PDF documents using OpenAI models to understand the user's intent and generate relevant responses.

4
Action

Send Responses Back to Users

The AI-generated responses are sent back to users via WhatsApp, which can include text or voice messages.

5
Action

Maintain Conversation History

The chatbot keeps track of the conversation history to provide context-aware interactions for users.

Setup guide

1

Add WhatsApp Business API Credential

Add your WhatsApp Business API credential in the Latenode Credentials panel. This includes the API key, phone number ID, and business account ID.

2

Configure WhatsApp Trigger Node

In the Latenode visual builder, add a WhatsApp Trigger node. Configure it to listen for incoming messages (text, audio, images, or documents) from the WhatsApp Business API integration.

3

Set Up OpenAI Credential

Add your OpenAI API key in the Latenode Credentials panel. This will allow the AI Agent node to access the OpenAI models.

4

Configure AI Agent Node

In the Latenode visual builder, add an AI Agent node. Configure it to use the OpenAI integration and set the appropriate models for processing text, audio, images, and PDF documents.

5

Enable Conversation Memory

Add a Simple Memory node to the workflow and configure it to maintain a conversation history for each user, allowing the AI agent to provide context-aware responses.

Requirements

Connect your WhatsApp Business API account to the chatbot platform
Enable access to the Whisper speech-to-text API for voice note processing
Set up a JavaScript integration that can process incoming WhatsApp messages, including text, voice notes, images, and PDF documents
Implement a context-aware conversation history management system to maintain continuity across user interactions

FAQ

Common questions about this template

Each run uses credits on your Latenode plan. We charge for processing time (1 credit = 30 seconds). Your actual cost depends on your plan and how long the run takes. See pricing plans for plans and how credits work.
Contact support →

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