Local-first meeting transcription, explained clearly
“Local-first” is useful only when the data path is explicit. Separate recording, transcription, analysis, and storage so you can decide which parts stay on your machine and which providers receive data.
Local-first is a storage model, not a magic promise
In a local-first meeting app, the primary library is available on your device. You can keep working with recordings and transcripts without depending on a vendor dashboard to be the only copy. That improves control, portability, and the ability to integrate the library with local tools.
But transcription and AI analysis may still involve another service. If you select a cloud transcription provider, audio is sent to that provider for processing. If you ask a cloud model to analyze a transcript, the relevant text is sent to that model. A fully local path requires local providers for those steps as well.
Map the meeting data path
| Stage | What it handles | Your decision |
|---|---|---|
| Capture | Microphone and, where supported, system audio. | Check operating-system support and obtain appropriate participant consent. |
| Transcription | Audio is converted into timestamped text. | Choose a cloud provider, a supported hosted route, or your own provider. |
| Analysis | Transcript text becomes summaries, findings, or action items. | Select a model route appropriate for the meeting's sensitivity and task. |
| Library | Audio, transcripts, and saved outputs remain available after the call. | Decide how the local app directory is backed up and protected. |
What Parley keeps local
Parley stores audio and transcripts locally in the app, along with the meeting library you search and organize. Its built-in MCP server also runs locally and exposes that library to compatible clients you configure.
Provider calls are separate from storage. Parley supports a bring-your-own-provider approach, so you can choose transcription and model services based on language, latency, capability, policy, or infrastructure. Do not describe a cloud-backed configuration as “data never leaves the device.” That statement is accurate only for a workflow in which each processing stage uses a local provider.
Platform note: Parley captures both sides of a meeting on macOS. On Windows, it currently captures the microphone only. The storage model is the same, but the available audio source differs.
Choose a setup by meeting sensitivity
Everyday internal meetings
A vetted cloud transcription service may provide a practical balance of accuracy, language support, and speed. Keep the local library as the working record and document which providers process audio or text.
Restricted or regulated conversations
Start from organizational policy, not convenience. Confirm whether recording is permitted, which regions or vendors are allowed, what retention applies, and whether a local provider is required. A local-first app does not override those obligations.
Offline or fully local workflows
Use local transcription and model providers supported by your setup. Verify the full path while disconnected, including model downloads, transcript generation, analysis, and any client connected through MCP.
A transparent setup checklist
- Document which audio sources are captured on each device and operating system.
- Identify the transcription provider and whether audio leaves the machine.
- Identify the model provider and which transcript content it receives.
- Protect the local app directory with suitable device access and backup controls.
- Review consent, retention, and deletion expectations before recording.
- Test search and export before relying on the library as a system of record.
Continue reading
Build the data path you actually want
Use Parley's local-first library with the transcription and model providers appropriate for your workflow.