On-Device vs Cloud Transcription: Which Protects Your Privacy Better?
We compare on-device and cloud audio transcription. Learn why local processing is safer for confidential meetings.
When you record a meeting with an AI tool, your audio goes somewhere. The question is: where?
Cloud transcription: how it works
Most popular tools (Otter.ai, Fireflies.ai, tl;dv) use cloud transcription. This means:
- Your audio is recorded on your device
- It’s sent to external servers (usually AWS or Google Cloud)
- An AI model on those servers processes the audio
- The resulting text is sent back to your device
The problem
- Your audio travels over the internet and is temporarily stored on third-party servers
- Even with TLS encryption, the provider has access to your audio in clear text during processing
- In regulated industries (healthcare, legal, finance), this can violate regulations like HIPAA, GDPR, or local data protection laws
- If the provider suffers a security breach, your confidential information is exposed
On-device transcription: the private alternative
On-device transcription processes everything directly on your phone or computer, without sending audio to any server:
- Your microphone captures the audio
- A local AI model processes the audio directly on the device
- Text appears on screen immediately
- Audio is discarded — never stored or transmitted
The advantages
- Zero data leakage: Your audio literally never leaves the device
- Works without internet: Perfect for in-person meetings or travel
- Lower latency: No network round-trip, words appear instantly
- Regulatory compliance: No data transfer to third parties
The limitation
On-device models are smaller than cloud ones, which historically meant lower accuracy. However, modern smartphone processors have significantly closed this gap.
Direct comparison
| Aspect | Cloud | On-Device |
|---|---|---|
| Privacy | Audio sent to servers | Audio never leaves device |
| Internet | Requires connection | Works offline |
| Latency | 200-500ms | <50ms |
| Accuracy | High (large models) | High (modern processors) |
| Cost to user | Higher (cloud infrastructure) | Lower |
| Compliance | Complex | Simple |
When to choose each option
Choose cloud if you need features like advanced multi-speaker diarization or simultaneous translation to 50+ languages with maximum accuracy.
Choose on-device if privacy is a priority, you work in a regulated industry, need offline functionality, or simply don’t want your audio passing through third-party servers.
Aura Meet: the best of both worlds
Aura Meet runs the entire pipeline on-device:
- Transcription: 100% on-device. Your audio never leaves your phone.
- AI features (summaries, copilot): Also 100% on-device, powered by Apple Foundation Models. Not even the transcribed text leaves your iPhone.
This way you get the privacy of local processing with the power of modern language models — without your conversations ever touching a server.