Transcribe and summarize voice notes with Whisper, GPT-4.1, and Slack
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 14 nodes and runs when an HTTP POST request hits its webhook URL (plus 1 other trigger). Along the way it connects OpenAI Chat Model and Slack.
How it runs
Trigger: When an HTTP POST request hits its webhook URL (plus 1 other trigger).
- Set - Config (Edit Fields (Set)): sets 5 fields: sttApiUrl, sttModel, language…
- HTTP Request: calls an HTTP API (POST)
- JS - Clean Transcript & Prepare LLM Input (Code): runs custom JavaScript code
- Wait: pauses before continuing
- If: checks a condition and branches into true / false
- AI - Clean Up & Summarize Note (Basic LLM Chain): sends a prompt to an LLM, with model: OpenAI Chat Model
- Set - Discarded/Cancelled (Edit Fields (Set)): sets 1 field: finalStatus
- JS - Parse LLM Output & Build Note Payload (Code): runs custom JavaScript code
- Wait: pauses before continuing
- If: checks a condition and branches into true / false
…plus 1 more step. See the full node list below.
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (10)
- Webhook
n8n-nodes-base.webhook - Manual Trigger
n8n-nodes-base.manualTrigger - Edit Fields (Set)
n8n-nodes-base.set - HTTP Request
n8n-nodes-base.httpRequest - Code
n8n-nodes-base.code - Wait
n8n-nodes-base.wait - If
n8n-nodes-base.if - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - Slack
n8n-nodes-base.slack
From the author
Quick overview This workflow accepts an uploaded voice note via webhook (or manual test), transcribes it with OpenAI Whisper, cleans and summarizes it with an OpenAI chat model, and posts a structured note (title, summary, action items, tags, full text) to…