AI Tools

Audio AI tools

Turn lectures, meetings, and interviews into searchable notes.

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Fireflies.ai
4.4/5

Fireflies.ai auto-joins Zoom, Meet, and Teams calls, transcribes them accurately, and generates summaries, action items, and topic trackers you can search across every meeting you've ever had. Its CRM and Slack integrations make it especially strong for sales teams. Transcription quality and AskFred chat are excellent; the interface feels a little busier than rivals like Fathom, and the free tier is stingier on storage.

Best for: Sales and cross-functional teams who live in back-to-back video calls
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Notta
4.1/5

Notta transcribes meetings, calls, and voice memos with strong accuracy across 58+ languages, at a price well below Otter or Fireflies. It covers the essentials — live transcription, meeting bot, AI summaries, translation — without the deep CRM integrations or conversation analytics of pricier rivals. For anyone who mostly needs a clean, cheap transcript and summary, it's a smart pick.

Best for: Individuals and small teams needing affordable multilingual transcription
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Otter.ai
4.3/5

Otter.ai joins your meetings, transcribes them live, and produces a summary with action items before the call even ends. It's built specifically around recurring video calls — Zoom, Meet, Teams — rather than general audio files, which makes it the most convenient option for teams living in back-to-back meetings. Accuracy on messy audio and non-native accents still trails dedicated transcription specialists, and the free plan's monthly minute cap is tight.

Best for: Live meeting transcription, summaries, and action items for recurring calls
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Whisper
4.5/5

Whisper is OpenAI's open-source automatic speech recognition model, and it's become the accuracy benchmark that most consumer transcription apps — including plenty that don't admit it — are built on top of. There's no polished app here: you either call OpenAI's cheap, fast API or run the open-weight model yourself for free with your own compute. For raw transcription accuracy per dollar, it's very hard to beat; for a finished meeting-notes product, you'll still want something built on top of it.

Best for: Developers and technical teams building custom transcription pipelines
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