I Built an AI Meeting Summarizer with Spring AI — Here's How (and Why)
Description and use
The tool automatically converts a meeting audio file into a structured summary with title, overview, decisions, action items, and next steps, using Spring AI, Whisper, and AssemblyAI.
Problem
After a productive meeting, participants forget who is responsible for action items and unresolved issues.
Outcome
The tool produces a concise, professional meeting summary with actionable items, speaker attribution, and next steps, all within seconds of uploading an audio file.
Workflow
- Upload MP3 to REST endpoint
- Transcribe audio with OpenAI Whisper via Spring AI
- Upload audio to AssemblyAI for speaker diarization
- Retrieve speaker-labeled transcript
- Generate summary with GPT-4o-mini using a custom prompt
- Return structured summary to client
Evidence
The best part? It works with any audio file — upload an MP3, and get a structured summary in seconds.
- Record date: 2026-09-06T22:51:55.834Z