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Audio

Audio Summarization

Transcribe long recordings and produce structured summaries with timestamps or topics. People catch up by reading instead of replaying an hour of audio.

Interactive demo

Audio

Summarize recording

Meeting Recording.mp3

Duration: 45:23

Overview

How might we design audio summarization so people can trust and act on AI output?

When to use

  • Ideal for meeting tools, podcast platforms, educational applications, and systems where summarizing long audio content improves accessibility and saves time.

When to skip

  • Recordings where verbatim transcript is legally required.
  • Audio too short to summarize meaningfully.
  • Sensitive content stored without retention policy.

Rules

  • Summary with no link back to source timestamps.

  • Invented action items not grounded in transcript.

  • One wall of text with no sections or speakers.

  • Hiding that summary is AI-generated and may omit detail.

Evidence

ProductImplementation
Otter.aiMeeting summaries with highlights and outline.
Fireflies.aiAI notes, action items, and searchable transcript.
DescriptSummarize long projects from edited transcripts.
RevTranscript plus optional AI summary add-on.

FAQ

What should an audio summary include?

Key topics, decisions, action items with owners if stated, and timestamp links into the recording.

Summary length options?

Offer brief vs detailed modes; default to scannable bullets, not prose paragraphs.

Speaker diarization needed?

Yes for meetings. Attribute quotes and tasks to the right speaker when possible.

Summarization vs live transcript?

Live transcript is real-time text during speech. Summarization is post-hoc compression of the full recording.