OpenAI Whisper Voice Note to Slack Summary (n8n Webhook)

Turn voice notes into Slack-ready summaries—with human approvals

This n8n workflow accepts an uploaded voice note via a webhook, transcribes it using OpenAI Whisper, converts it into a clean structured summary, and posts the result to Slack—with two approval checkpoints so nothing goes out unreviewed.

What this workflow does

Designed for teams that capture information by voice, the workflow follows this process:

• Receive audio via webhook (or manual test) and load configuration such as language, summary style, and the target Slack channel.
• Transcribe with OpenAI Whisper by sending the audio to the OpenAI audio transcription endpoint and retrieving the raw transcript.
• Clean up the transcript with light deterministic formatting (whitespace/casing) to prepare it for review and summarization.
• Pause for first human approval, letting a reviewer approve (and optionally edit) the transcript using the wait node’s resume webhook.
• Summarize and format with an OpenAI chat model into a JSON note containing: title, summary, action items, and tags.
• Pause for second confirmation, then either post the final formatted note to Slack or mark the run as discarded if not approved.

Use cases

• Managers capture sprint updates by voice, then share vetted summaries in a dedicated Slack channel.
• Support teams convert customer call voice notes into action items for follow-up.
• SaaS operators collect meeting/incident notes and turn them into structured Slack updates with human review.

Technical details

• n8n nodes: webhook, if, set, code, wait, slack
• OpenAI integrations: audio transcription via Whisper + chat model for cleanup/summarization
• Slack integration: posts a structured note (title, summary, action items, tags, and full text) to a configured channel

Ideal if you want reliable OpenAI Whisper → Slack automation in n8n, with review gates built in.