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AI-Powered WhatsApp Chatbot for Text, Voice, Images & PDFs

32 nodes · whatsApp, httpRequest, openAi, lmChatOpenAi, agent, extractFromFile

Engine
n8n
Nodes
32
Trigger
scheduled/triggered
Source file
2033_Code_Extractfromfile_Automate_Webhook.json

Workflow flow

IntegrationsWhatsAppHTTPOpenAILmChatOpenAiAgentExtractFromFileMemoryBufferWindowSwitch@n8n/n8n-nodes-langchain.openAi@n8n/n8n-nodes-langchain.lmChatOpenAi@n8n/n8n-nodes-langchain.agent@n8n/n8n-nodes-langchain.memoryBufferWindow+3 more
100%
TRIGGER

WhatsApp Trigger

WhatsApp

OpenAI Chat Model

@n8n/n8n-nodes-langchain.lmChatOpenAi

Simple Memory

@n8n/n8n-nodes-langchain.memoryBufferWindow

Input type

Switch

Only PDF File

IF

Text

Set

Not supported

WhatsApp

Get Image Url

WhatsApp

Get Audio Url

WhatsApp

Download Image

HTTP

Download Audio

HTTP

Get File Url

WhatsApp

Incorrect format

WhatsApp

Analyze Image

@n8n/n8n-nodes-langchain.openAi

Transcribe Audio

@n8n/n8n-nodes-langchain.openAi

Download File

HTTP

Extract from File

ExtractFromFile

Audio

Set

Image

Set

File

Set

AI Agent1

@n8n/n8n-nodes-langchain.agent

From audio to audio?

IF

Send message

WhatsApp

Generate Audio Response

@n8n/n8n-nodes-langchain.openAi

Fix mimeType for Audio

Code

Send audio

WhatsApp

26 steps · flows top to bottom, branches left to right

Browse by integration

Browse all integrations →

Import into n8n

  1. Download the n8n JSON file (full or sanitized).
  2. In n8n: Workflows → Import from file.
  3. Open each node and reconnect credentials to your accounts.
  4. Test with manual execution before enabling triggers.

Sanitized JSON removes credential IDs — safer for sharing. Flow graph JSON is OpenRuna's lightweight format for diagrams and other tools, not n8n import.

View source corpus ↗

Overview

AI-Powered WhatsApp Chatbot for Text, Voice, Images & PDFs (32-node n8n automation, whatsApp, httpRequest, openAi, lmChatOpenAi, agent, extractFromFile, memoryBufferWindow, switch) is free on OpenRuna — view the graph and export the JSON to import into n8n.

What this workflow does

Built in n8n, "AI-Powered WhatsApp Chatbot for Text, Voice, Images & PDFs" chains 32 nodes to move data between whatsApp, httpRequest, openAi, lmChatOpenAi, agent, extractFromFile, memoryBufferWindow, switch. 32 nodes · whatsApp, httpRequest, openAi, lmChatOpenAi, agent, extractFromFile Execution begins at the scheduled/triggered trigger and flows through the 32 configured nodes. OpenRuna shows the full flow diagram, an integration breakdown, and a one-click JSON export for n8n's "Import from file". Use it to learn integration patterns, fork it for your own use case, or deploy it quickly after reconnecting credentials.

Use cases

  • Study how data moves from whatsApp to httpRequest before building your own variant.
  • Share it with your team as a documented reference for scheduled/triggered automations in the whatsApp stack.
  • Import "AI-Powered WhatsApp Chatbot for Text, Voice, Images & PDFs" into n8n, reconnect credentials for whatsApp, httpRequest, openAi, lmChatOpenAi, agent, extractFromFile, memoryBufferWindow, switch, and run the same automation in your own workspace.
  • Use it as a starting template when wiring whatsApp, httpRequest, openAi, lmChatOpenAi, agent, extractFromFile, memoryBufferWindow, switch — adjust node parameters to your accounts and record IDs.

Example output

Imported into n8n, "AI-Powered WhatsApp Chatbot for Text, Voice, Images & PDFs" exposes 32 configured nodes. Trigger type: scheduled/triggered. Integrations: whatsApp, httpRequest, openAi, lmChatOpenAi, agent, extractFromFile, memoryBufferWindow, switch. Open each node after import to map credentials to your own whatsApp and httpRequest accounts. Run it once in test mode to verify any branch logic (Switch/IF nodes) before enabling production triggers.

Tips by platform

Claude

Ask Claude to turn the "AI-Powered WhatsApp Chatbot for Text, Voice, Images & PDFs" JSON into a plain-English runbook, node by node. It can flag where whatsApp rate limits or missing retries might bite before you go live.

ChatGPT

Drop the workflow JSON or this OpenRuna page URL into ChatGPT and ask for a step-by-step runbook: triggers, branches, and which fields to customise for whatsApp, httpRequest, openAi, lmChatOpenAi, agent, extractFromFile, memoryBufferWindow, switch. Handy for onboarding teammates new to n8n.

Cursor

In Cursor, ask Agent mode to parameterise "AI-Powered WhatsApp Chatbot for Text, Voice, Images & PDFs" — extract whatsApp IDs and secrets into environment variables without changing the 32-node structure.

Frequently asked questions

How do I import "AI-Powered WhatsApp Chatbot for Text, Voice, Images & PDFs" into n8n?
Click Download n8n JSON on this page, then in n8n choose Workflows → Import from file and select the downloaded file. Reconnect credentials on each node — the export carries credential IDs from the original author's instance, not working secrets.
Which integrations does "AI-Powered WhatsApp Chatbot for Text, Voice, Images & PDFs" use?
It uses: whatsApp, httpRequest, openAi, lmChatOpenAi, agent, extractFromFile, memoryBufferWindow, switch. The flow diagram above shows how each service connects across the 32 nodes. Filter OpenRuna by integration to find related workflows and tools.
Can I import a sanitized export without credentials?
Yes. Use "Download sanitized JSON" to strip credential references before sharing internally. You will still add your own whatsApp and httpRequest credentials in n8n after import.
What trigger type does "AI-Powered WhatsApp Chatbot for Text, Voice, Images & PDFs" use?
Trigger type: scheduled/triggered. After import, confirm the trigger node (webhook, schedule, or app event) matches your environment, then activate the workflow when you are ready to run it.
Is "AI-Powered WhatsApp Chatbot for Text, Voice, Images & PDFs" free to use?
OpenRuna catalogs community n8n workflows under open licenses. Check the source corpus link for the original license; commercial use may require verifying the third-party API terms for whatsApp, httpRequest, openAi, lmChatOpenAi, agent, extractFromFile, memoryBufferWindow, switch.

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