June vs Granola

• Your team runs on shared meeting notes across Slack, Notion, HubSpot, and CRMs, and you accept cloud storage as the price.
• You need Windows, iOS, or Android. June is macOS only today.
• You want your typed notes blended with the transcript into one document.

• You want meeting notes stored on your Mac instead of on a company's US cloud servers.
• You do not want your work used for model training unless you explicitly choose it. June never trains on your data and routes to zero-retention models by default. Granola trains its own models on de-identified data unless you opt out.
• You want more than meeting notes. June includes dictation into any app, private chat, and a local agent in the same $20.
• You want claims you can check. June is MIT licensed and its backend runs in a TEE with attestation you can verify.

Both apps capture meetings from your computer's audio, so neither sends a bot into your call. On capture, they are even.

On storage, they are not. Granola processes and stores your transcripts and notes on US cloud servers; it discards the raw audio, but everything said in your meetings still lives on its infrastructure, under its retention policy. June stores recordings, transcripts, and notes on your Mac. Audio goes out for note transcription through zero-retention model routing by default: nothing stored, nothing trained on, and OpenSoftware keeps only account, login, and billing records.

Granola's own privacy policy says it trains its models on de-identified data, on by default for individuals, with an opt-out in settings. That means trusting both the toggle and the de-identification method with everything said in your meetings. It does bar third parties like OpenAI and Anthropic from training on your data, but Granola itself is the exception.

June has no exception. OpenSoftware never trains on your data, the default model routing is zero retention, and the backend is open source and TEE-attested, so the claim is checkable rather than a policy promise.

Granola is a focused meeting tool, and focus has benefits. June's bet is that meeting notes belong next to the rest of your AI work: dictation that types into any app, chat for thinking things through, and an agent that runs on your Mac and can use your meetings and notes as context. One private workspace instead of one more subscription per feature.