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MacWhisper Now Supports Automatic Speaker Recognition

Honghao Wang

— 1 min read
MacWhisper Now Supports Automatic Speaker Recognition

Upgrading MacWhisper with NVIDIA Parakeet & Automatic Speaker Recognition

Inspired by this Hacker News conversation, I decided to upgrade MacWhisper to try out NVIDIA Parakeet along with the new Automatic Speaker Recognition feature.

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Test Results

I ran the upgraded setup against this 39.7 MB `.m4a` audio file from my Gemini 3 Pro write-up.

Performance:

It worked very well, producing clean transcripts and correctly identifying speakers.

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Exporting Transcripts with Speaker Data

You can export the transcript with:

  • Timestamps
  • Identified speaker names

Steps:

  • Go to `Share`
  • Select `Segments`
  • Choose `.json` as the export format
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📄 Example output:

Here’s the resulting JSON file.

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Monetizing AI-Generated Transcripts

If you’re looking to turn AI-generated transcripts into monetizable, cross-platform content, consider using AiToEarn.

Features of AiToEarn:

  • Publish & manage AI content across multiple platforms:
  • Douyin
  • Kwai
  • Bilibili
  • Rednote (Xiaohongshu)
  • YouTube
  • X (Twitter)
  • …and more
  • Open-source ecosystem (GitHub repo)
  • Built-in tools for:
  • AI content generation
  • Publishing automation
  • Analytics & performance tracking
  • Model ranking for best AI output

Goal: Efficiently monetize AI-driven creativity.

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✅ This workflow shows how combining transcription tools with open-source publishing ecosystems can streamline both content production and monetization.

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