Local transcription turns speech into text on your computer; cloud transcription processes the recording on a provider's servers. The choice affects how you work offline, keep your own files and share the result. Look at recording, transcription and AI generation separately so you can choose a workflow that fits your day.

Sources checked October 19, 2026. This is a comparison of documented data workflows, not a hands-on accuracy test.

Which stages make up a voice-AI data path?

“Local” and “cloud” are not single switches. Map each stage independently:

  1. microphone capture and buffering;
  2. voice activity detection and audio enhancement;
  3. device-to-phone or device-to-computer transfer;
  4. speech recognition and speaker labeling;
  5. summary or extraction by a language model;
  6. indexing, search, sharing, and backup;
  7. retention and deletion of audio, text, logs, and derived data.

A recorder can perform VAD locally, upload audio for ASR, keep transcripts in a cloud account, and later export a local file. Calling that entire system either “local” or “cloud” hides the actual boundary.

What does a current cloud-first recorder path look like?

Plaud’s official May 2026 policy describes local storage by default and optional Private Cloud Sync. Requested AI tasks send necessary data to providers; results return to the app or enabled sync. Provider retention is task-limited, and model training requires explicit consent. Transfers use TLS 1.2 or later.

That is more precise than saying “your data is safe in the cloud.” It identifies processors, transport, provider retention, account storage, and optional cloud sync. A buyer should still read the privacy policy and data-processing terms for jurisdiction, subprocessors, account retention, support access, and deletion behavior.

Keep your working record on your own computer

C1 transfers recordings to your paired Mac or Windows PC over Bluetooth 5.4 or USB-C. OneMira Desktop transcribes and labels speakers there, keeping your notes as editable local Markdown. In Settings, choose whether to retain the original audio as stereo WAV files. OneMira Desktop requires no OneMira account.

After the software and model downloads, the included local AI creates meeting notes and mind maps offline. You can keep this workflow local or connect a model service with your API key; compatible agents can connect through optional CLI/MCP. Content you choose to send to a remote service follows that service's data terms and fees.

Space Gray OneMira C1 standing upright, with its side metal strip, USB-C port, and transparent front cover visible.
A side view of C1 in Space Gray.

What are the operational trade-offs?

Factor Managed cloud Local computer processing
Offline transcription Usually limited or unavailable when upload/inference is required Possible after models are installed
Model updates Managed by the provider Client/model update must reach each computer
Compute requirement Vendor supplies inference hardware User computer supplies CPU/GPU/NPU and power
Cross-device access Convenient account workspace Requires file sync or device workflow chosen by user
Audio exposure Audio may cross vendor/provider endpoints as documented OneMira audio remains between C1 and paired computer
Plan dependency Often minutes/features by tier No OneMira local-transcription minute quota
Backup Vendor-managed account retention may help User must design local backup and access controls
Collaboration Sharing and admin commonly built in Uses files and the user’s chosen collaboration tools

How can you verify a “local” claim?

Use a clean supported computer and a controlled recording. Install required models, disconnect the internet, transcribe, search, export, and restart. Record which features pass. Then repeat online while capturing DNS and network connections. Inspect process activity and local file paths. The evidence should distinguish update checks and telemetry from audio or transcript transfer.

Also test deletion and recovery. If audio is removed immediately after a UI says “done,” interrupt the process just before that point and verify that a recoverable source still exists. Local storage without transactional behavior can lose data just as cloud storage can.

Does local processing guarantee compliance?

No. It can reduce the number of processors and avoid one shared audio workspace, but compliance depends on lawful purpose, participant notice or consent, access controls, endpoint security, retention, deletion, backup, incident response, organization, jurisdiction, and downstream services. A local transcript on an unencrypted shared laptop may be less controlled than a well-governed enterprise cloud system.

Use a data-flow diagram and retention table in the actual compliance review. Marketing labels are not evidence.

Which architecture should you choose?

Choose a managed cloud path when collaboration, central administration, provider-managed model updates, and minimal endpoint setup are priorities. Choose local computer processing when offline operation, local audio handling, user-owned files, and freedom from recorder-side transcription quotas are priorities. Hybrid designs can be reasonable when users can see and control which stage crosses the network.

For a layer-by-layer model, see Offline AI meeting notes with OneMira C1. For current plan economics, see the TCO comparison.

Explore C1 for local AI notes and recordings you control

Sources and further reading