Inboxed vs. Canary Mail
Canary Mail markets itself as a private AI email client. But its AI features rely on cloud APIs. Inboxed is the real deal — 100% local AI.
| Feature | Canary Mail | Inboxed |
|---|---|---|
| AI Processing | ✕ Cloud API (marketed as private) | ✓ Genuinely local (Apple MLX) |
| Privacy | ✕ Cloud AI processing | ⊕ 100% On-Device |
| Cost | $20/year | ⚡ Free (Pro: $1 lifetime) |
| Architecture | ✓ Swift (Native) | ✓ Rust + Tauri (Native) |
| AI Model Size | ✕ API-dependent | ⊙ 7B+ params on Metal |
Real privacy, not marketing.
Canary Mail calls its AI "private" — but it sends your emails to OpenAI's API for processing. That's not private; that's outsourcing.
Inboxed runs a 7B+ parameter LLM directly on your Mac's GPU using Apple Metal. Your emails never leave your device. That's real privacy.
Bottom Line
Canary Mail markets itself as a privacy-first AI email app, and the on-device model for personalization and email prioritization is genuine. The nuance is in the AI writing features: Canary Copilot, the writing assistant and summarization tool, uses cloud-hosted large language models from providers including OpenAI and Anthropic, because modern LLMs are too large to run on-device for most users. Canary states it has opted out of data sharing agreements with those providers. This is a reasonable middle ground, but it's not the same as fully local AI processing. Inboxed uses Apple MLX to run models entirely on Apple Silicon without any cloud LLM calls — a stronger technical guarantee, though Canary's feature set and cross-platform support (macOS, iOS) are more mature.
Frequently Asked Questions
Is Canary Mail's AI actually private, or does it use cloud servers?
Canary Mail uses a hybrid AI architecture that's worth understanding precisely. Email prioritization, smart filtering, and personalization features use on-device machine learning models that stay on your device — that's genuinely local. However, Canary Copilot writing features (drafting replies, summarizing long threads, the Copilot chat interface) use cloud-hosted large language models from providers including OpenAI, Anthropic, and Cohere. Canary states it has opted out of data-sharing agreements so these providers cannot train on your email content. This means your emails do reach third-party AI servers for Copilot tasks, even if they're not retained for training. Inboxed runs all AI on Apple MLX locally with no external LLM calls.
How does Canary Mail's pricing compare to Inboxed?
Canary Mail's Growth plan — which includes AI Copilot features — is $36/year. The Pro+ plan with advanced encryption and anti-phishing tools is $49/year. There is a free tier with core protections but limited AI access. These are reasonable prices for the feature set. Inboxed is free with a $1 lifetime Pro upgrade, making the price comparison straightforward: Canary Mail costs $36-49 per year ongoing, while Inboxed costs $1 once. The trade-off is feature breadth: Canary Mail has iOS support, more mature AI tooling, end-to-end PGP encryption support, and a longer track record. Inboxed has stronger on-device AI guarantees and a lighter resource footprint on macOS.
Who should choose Canary Mail over Inboxed?
Canary Mail is the better choice for users who want AI email assistance across both Mac and iPhone with a consistent experience, who need PGP or S/MIME end-to-end encryption alongside AI features, or who want a more mature, feature-complete product with a longer track record. It's also more accessible to users on older Intel Macs where Apple MLX's Metal GPU acceleration isn't available. Inboxed is the better choice for users who want the strongest possible guarantee that email content never touches cloud AI servers — even for writing tasks — and who primarily work on Apple Silicon Macs. If your threat model requires complete on-device AI without exceptions, Inboxed's architecture is stricter.