On-Device vs Cloud Transcription: Why Privacy Matters for Meeting Notes

Every transcription app has to answer one fundamental question: where does the audio get processed? The answer has real consequences for your privacy, your wallet, and how you work.

Most popular transcription tools - Otter.ai, Fireflies.ai, Notta - send your audio to remote servers. A newer approach, made possible by Apple's on-device speech-to-text models, processes everything locally on your Mac. No upload, no server, no third party involved.

Here's how the two approaches compare.

How Cloud Transcription Works

When you use a cloud-based transcription service, the flow typically looks like this:

1. Your audio is captured and uploaded to the provider's servers.
2. The audio is processed by their speech-to-text models in the cloud.
3. The transcript is sent back to your device.
4. Your audio and transcript are stored on their servers, often for an unspecified period.

This model has been the default for years because running accurate speech recognition required powerful hardware and large models that couldn't run on consumer devices.

How On-Device Transcription Works

With on-device transcription, the entire process stays on your machine:

1. Your audio is captured locally.
2. A speech-to-text model running on your device converts it to text.
3. The transcript is saved locally.
4. Nothing is uploaded. No internet connection is needed.

Apple introduced on-device speech-to-text models in macOS 26 (Tahoe) that run efficiently on Apple Silicon and produce near-realtime results.

Privacy

This is the most significant difference.

With cloud transcription, your audio - which may contain sensitive business discussions, legal conversations, medical information, or personal details - is transmitted to and stored on external servers. You're trusting the provider's security practices, data retention policies, and compliance with regulations like GDPR. Some services even use customer data to train their AI models by default.

With on-device transcription, your audio never leaves your computer. There's no data to breach because no data was sent. This matters especially for:

• Confidential business meetings where information is covered by NDAs.
• Legal and compliance-sensitive conversations where data residency is a requirement.
• Healthcare or HR discussions involving personal data.
• Anyone who simply prefers their spoken words not be stored on someone else's servers.

Cost

Cloud transcription services typically charge monthly subscriptions. Entry-level paid plans range from around $8/month (annual billing) to $30/month depending on the service and billing cycle, with higher tiers costing more.

On-device transcription has no per-minute fees and no subscription. The speech-to-text models are included with macOS 26 - you just need to download the language packs you need. If you're using an app like Silkwave Voice, it's a one-time purchase after a 7-day free trial.

Over a year, the difference adds up. A $20/month transcription subscription costs $240/year - and keeps costing that every year after.

Accuracy

Cloud-based models have historically had an edge in accuracy, especially for noisy environments, heavy accents, or niche vocabulary. They benefit from large training datasets and powerful server hardware.

Apple's on-device models have closed much of this gap. For clear audio in supported languages, the results are comparable to cloud services. They handle everyday meetings, lectures, and calls well.

Where cloud services may still have an advantage:

• Heavily accented speech in noisy environments.
• Speaker diarization - identifying who said what. Most cloud services offer this; Apple's on-device models currently do not.
• Specialized vocabulary - medical, legal, or highly technical jargon where cloud models have been fine-tuned.

For the majority of meeting transcription use cases, on-device accuracy is more than sufficient.

Speed and Availability

Cloud transcription requires an internet connection. If your connection drops during a meeting, the transcription may fail or have gaps.

On-device transcription works offline. It starts immediately, processes in near-realtime, and doesn't depend on server availability or network speed. This also makes it reliable in environments with restricted internet access - corporate networks, planes, remote locations.

Supported Languages

Language support varies widely across cloud services. Fireflies.ai and Notta support 50-100+ languages, while Otter.ai supports just 4 (English, Japanese, Spanish, and French).

Silkwave Voice supports 10 languages for on-device transcription: Cantonese, Chinese, English, French, German, Italian, Japanese, Korean, Portuguese, and Spanish. These cover the majority of business use cases, but if you need a language outside this list, a cloud service with broader coverage may be a better fit.

Which Approach Is Right for You?

Choose on-device transcription if:

• Privacy is a priority for your work.
• You want to avoid recurring subscription costs.
• You work in environments with limited or restricted internet access.
• Your meetings are primarily in one of the supported languages.

Choose cloud transcription if:

• You need speaker diarization (who said what).
• You require support for languages not available on-device.
• You work in extremely noisy environments where cloud models perform better.

How Silkwave Voice Handles This

Silkwave Voice uses Apple's on-device speech-to-text models exclusively. Transcription is local, free, and works offline. Your audio files are stored on your Mac and never uploaded.

The one exception is AI Summarization: if you choose to generate a summary, the transcript text (not your audio) is shared with ChatGPT through Apple Intelligence via a Shortcuts integration. macOS asks you to confirm before anything is sent, and you can skip summarization entirely if you prefer.

This approach gives you the privacy benefits of on-device processing for the core workflow (recording and transcription), with optional cloud-powered features only when you explicitly opt in.

Try Silkwave Voice free for 7 days