Local Speaker Diarization on Mac: Transcripts with Speaker Labels, 100% Offline
What is speaker diarization?
Speaker diarization is the process of automatically partitioning an audio recording by speaker, answering "who spoke when." A transcription engine converts speech to text; diarization adds the second layer, segmenting that text by voice so each line is attributed to a speaker. For any recording with more than one person (interviews, meetings, panel discussions, depositions, user-research sessions), a transcript without speaker labels is barely usable. Diarization is what turns a wall of text into a readable conversation.
Why run diarization locally?
Most tools that offer diarization are cloud services: you upload the recording, their servers process it, and you pay a subscription for the privilege. That workflow has a structural problem: the recordings that most need transcribing are usually the ones that least belong on someone else's server:
- Journalists transcribing interviews with sources who were promised confidentiality.
- Lawyers handling recordings covered by attorney–client privilege.
- Researchers bound by consent forms and ethics approvals that never mentioned a third-party cloud vendor.
- Anyone with meeting recordings that contain business information not meant to leave the company.
Local diarization removes the question entirely. There is no upload, no vendor data-processing agreement to read, no retention policy to trust. The audio is processed on your own hardware, and the only copy of the transcript is the one on your disk.
How it works in Whryte
Open Whryte
One-time setup: models download on first launch (~4GB). After that, fully offline.
Drop in your audio file
An interview, a meeting recording, an .mp3. Whryte transcribes it on-device.
Get a labeled transcript
Speakers are identified and labeled automatically. The transcript stays in your local, searchable history.
Like all diarization systems, label accuracy depends on recording quality: clear audio with minimal cross-talk gives the best results.
Local vs cloud transcription
| Whryte | Cloud services (Otter, Trint, Sonix…) | |
|---|---|---|
| Where audio is processed | On your Mac | Vendor's servers |
| Upload required | Never | Yes, every recording |
| Works offline | ✓ Always | ✗ |
| Pricing | $24.99 one-time | Monthly subscription |
| Speaker labels | ✓ Automatic diarization | ✓ |
| Usage limits | None | Typically metered by minutes/month |
It's also a full dictation app
File transcription with diarization is one half of Whryte. The other half is system-wide dictation: press a global hotkey and speak, and text appears wherever your cursor is, in any app, with AI grammar correction. Both run on the same on-device Parakeet model, which transcribes up to 30x faster than Whisper-based tools on Apple Silicon in our benchmarks. One $24.99 purchase covers both.
FAQ
What is speaker diarization?
Speaker diarization is the process of automatically partitioning an audio recording by speaker, answering "who spoke when." A diarized transcript labels each segment with the speaker who said it, which is essential for interviews, meetings, and any multi-person recording.
Does speaker diarization in Whryte work offline?
Yes. Whryte runs transcription and speaker diarization entirely on your Mac. After the one-time model download, no internet connection is needed and recordings are never uploaded anywhere.
What do I need to run it?
A Mac with Apple Silicon (M1, M2, M3, or M4) running macOS 14.0 or later, and about 4GB of storage for the AI models. Whryte costs $24.99 one-time with a 3-day free trial.
How is this different from Otter, Trint, or other cloud services?
Cloud transcription services require uploading your recording to their servers and typically charge a monthly subscription. Whryte processes the audio on your own machine (nothing is uploaded) and costs $24.99 once.
Does diarization apply to live dictation too?
Diarization applies to Whryte's audio-file transcription. Live dictation types your own voice at the cursor in real time, where speaker labels aren't needed.
Comparing specific tools? Read Whryte vs Superwhisper and Whryte vs Wispr Flow, or see how Whryte compares.