Guide
On-Device AI vs Cloud AI Meeting Notes: How the Architectures Differ
Last updated July 2026
Quick answer
TL;DR
- On-device vs cloud is fundamentally about where your audio, transcript, and notes are processed and stored.
- Cloud tools (Otter, Fireflies, Granola, Jamie) transmit audio or transcripts to vendor servers; on-device tools (NoteGenerator, Anarlog, Meetily, Mumble) keep them on your Mac.
- Cloud strengths: cross-platform, team sync, mobile, managed setup, and mature certifications (SOC 2, and HIPAA-BAA on some plans).
- On-device strengths: works offline, no third-party data-holder, and NoteGenerator adds a one-tap Seal Test you can run yourself (session-scoped, not an absolute guarantee).
- NoteGenerator for Mac is single-user and Apple-silicon-only (16 GB RAM recommended for the AI note); cloud tools fit Windows, mobile, and teams better.
- Every competitor fact on this page comes from that vendor's own current documentation, with a source and date.
At a glance
| Cloud AI | On-device | |
|---|---|---|
| Where audio is processed | Audio is transmitted off your device to vendor servers or third-party transcription providers to produce the transcript (even when the vendor later deletes the audio). | Recording and transcription run on your Apple-silicon Mac after a one-time model download; audio is not sent to a server. |
| Where transcripts and notes are stored | On vendor cloud servers (US or EU data centers), encrypted at rest and in transit; enables backup, sync, and multi-device access. | Locally on your Mac, AES-256 encrypted, key in the macOS Keychain; the note lives only where you keep it, so you own backup. |
| Third parties in the data path | Typically routed through third-party AI/transcription subprocessors (e.g., transcription and LLM providers), governed by published subprocessor lists and contracts. | No third-party AI provider in the processing path; only content-free exceptions (model download, license activation, update checks, links you open). |
| Model training on your content | Varies by vendor and plan — some train on de-identified/anonymized data by default with an opt-out; others state they do not train by default. | Your conversation is not sent off the Mac, so it is not transmitted to train anyone's model. |
| Works offline (Wi-Fi off) | No — requires an internet connection because transcription and summarization run on the vendor's servers. | Yes — works with Wi-Fi off after the one-time model download. |
| Legal discovery / subpoena surface | A third party holds your data and can be compelled to produce it; the stored content is also reachable in a breach. | No third party holds your recordings or notes to produce; only your device does — you own the security trade-off. |
| Setup and requirements | Zero-setup, low hardware bar; an account is required. | One-time model download; Apple silicon (M1+); 16 GB RAM recommended for the AI-written note (less still yields the transcript); several GB disk. No account. |
| Platforms and collaboration | Often cross-platform (Windows, mobile) with team sync and sharing; some auto-join remote calls with a bot. | Mac-only and single-user; no team sync and no meeting bot — captures your Mac's mic and system audio. |
| Compliance posture | Mature vendors offer audits and contracts (e.g., SOC 2, and HIPAA with a BAA on some plans). | Notarized, App Sandbox, AES-256, Keychain — but no signed BAA; trust rests on data staying on-device, not on a vendor audit. |
| Independent verification | Trust rests on certifications and policy commitments you cannot directly observe. | A live connection counter and one-tap Seal Test let you watch the app be blocked from the network during your session (session-scoped, not a guarantee for all conditions). |
Two architectures, one question: where does your conversation go?
On-device and cloud AI note-takers answer the same question — turn a conversation into a structured note — with opposite defaults about where that work happens.
In the cloud design, audio or a transcript is transmitted off your machine to vendor servers, where transcription, summarization, and storage occur. This includes bot-based recorders that auto-join calls (Otter, Fireflies) and "bot-free but still cloud" notepads that skip the meeting bot yet still send data to their own servers (Granola, Jamie). Bot-free is not the same as local.
In the on-device design, recording, transcription, AI note generation, and storage run on your own computer. NoteGenerator for Mac is one example: after a one-time model download, all of that runs on your Apple-silicon Mac, so content stays local apart from content-free exceptions like the model download, license activation, and update checks. Open-source local tools such as Anarlog and Meetily follow the same pattern (their own docs, 2026). This page compares the two architectures, not brands — the named tools are just concrete illustrations.
Where the audio goes
In the cloud architecture, audio leaves your device — even when the vendor later deletes it. Granola sends audio to third-party transcription providers (it names Deepgram and Assembly) and says it deletes the audio after transcription (granola.ai/security; Granola Privacy Policy, effective 24 July 2026). Jamie processes in an EU cloud and states "meeting audio is deleted after transcription" (meetjamie.ai, 2026). Otter processes and stores recordings in the cloud on AWS in the United States (otter.ai/privacy-policy, effective June 16, 2026). Fireflies stores meeting audio, video, and transcripts in its US cloud on AWS and GCP (Fireflies data-storage KB, 2026).
In the on-device architecture, the audio never reaches a server. Anarlog states "audio never leaves your machine" (github.com/fastrepl/anarlog, 2026), Meetily says "your data never leaves your device" (meetily.ai, 2026), and Mumble's local mode says "audio never leaves your device" (heymumble.com, 2026). NoteGenerator keeps the recording on your Mac after the one-time model download.
Where the transcript and notes live
Where the finished transcript and notes are stored is the second fork. Cloud vendors keep them on their servers: Granola stores notes in a "US-hosted AWS Virtual Private Cloud," encrypted at rest and in transit (granola.ai/security, 2026); Otter stores data on AWS in the US (otter.ai/privacy-policy, 2026); Fireflies keeps transcripts in its US cloud until you delete them, with automatic deletion available only on Enterprise (Fireflies auto-delete KB, 2026); Jamie advertises "full storage & processing EU data residency" (meetjamie.ai, 2026).
On-device tools store notes as local files — Anarlog saves plain markdown on your machine (github.com/fastrepl/anarlog, 2026). NoteGenerator stores notes on your Mac encrypted with AES-256, with the key held in the macOS Keychain. The honest trade-off: cloud storage gives you backup, sync, and multi-device access; local storage means the note lives only where you put it, so if you lose the Mac and have no backup, you lose the note.
Who else is in the data path: subprocessors and third-party AI
Cloud processing usually routes your conversation through third-party subprocessors. Granola names third-party transcription and AI providers — Deepgram and Assembly for transcription, OpenAI and Anthropic for summarization (granola.ai/security, 2026). Fireflies runs on AWS and GCP and names OpenAI as an example vendor under a no-training, no-storage contract (Fireflies data-storage KB and Privacy Policy, 2026). Otter names cloud providers including AWS (US) for compute and storage (otter.ai/privacy-policy, 2026). These vendors publish subprocessor lists and contractual limits, which is a legitimate way to manage the exposure — but the exposure exists because the data moves.
On-device processing keeps no third-party AI provider in the path. For NoteGenerator, the only exceptions are content-free by design: the one-time model download; trial and license activation, which send a one-way device code and a persistent device identifier we treat as personal information (never your name, email, or note content); update checks, on by default with an off switch; and any links you choose to open.
Does anyone train on your conversation?
Whether your words train an AI model depends entirely on the tool and plan. Granola states it "trains on your anonymized data" by default to improve its models, with an opt-out in Settings, and Enterprise accounts have model training off by default (granola.ai/security; Granola Privacy Policy, 2026). Otter's privacy policy lists "training our proprietary AI technology on de-identified audio recordings and on transcriptions" as a use of data, while separately stating on its Privacy & Security page that its third-party AI providers do not train on customer data (otter.ai/privacy-policy and otter.ai/privacy-security, 2026). Fireflies says it does "not use personal information for AI model training" and contractually prohibits its vendors from doing so (fireflies.ai/privacy-policy, last updated March 6, 2026). Jamie states "your data is never used for the training of models" (meetjamie.ai, 2026).
On-device, the question is largely moot: because NoteGenerator never sends your conversation off the Mac, there is nothing transmitted for anyone to train on.
Offline: does it work with Wi-Fi off?
Cloud tools need an internet connection because transcription and summarization happen on their servers; with Wi-Fi off, they cannot produce a note. On-device tools are built to run disconnected. Superwhisper states it "works offline" with local models (superwhisper.com, 2026), and Mumble runs a "100% on-device" mode (heymumble.com, 2026).
NoteGenerator for Mac works with Wi-Fi off after the one-time model download — recording, transcription, and the AI-written note all run locally. This is also the simplest thing you can check yourself: turn off Wi-Fi, record, and confirm you still get a note. See how to verify it works offline for the full walkthrough. (Requirements: Apple silicon (M1 or newer), several GB of disk for the model, and 16 GB RAM recommended for the AI-written note — with less you still get the transcript.)
Legal exposure: subpoena, discovery, and breach radius
Architecture shapes your legal and breach exposure. When a cloud vendor stores your transcripts and notes, that vendor holds data a court can compel it to produce, and that data sits in a store a breach could reach. Granola keeps notes in a US-hosted AWS cloud and Fireflies keeps transcripts in its US cloud on AWS and GCP (their own docs, 2026); either can be served with legal process for the data it holds. On-device, no third party holds your recordings or notes to hand over — only your Mac does — which narrows the external discovery surface, but also means you own backup and security yourself.
The category's legal terrain is active. As of July 2026, a consolidated federal putative class action, In re Otter.AI Privacy Litigation, No. 5:25-cv-06911-EKL (N.D. Cal.), raises unproven allegations that a cloud AI notetaker recorded meeting participants without all-party consent; the motion-to-dismiss hearing was held May 20, 2026 and no court has ruled (CourtListener docket; NPR, Aug 15, 2025; Recording Law, verified June 20, 2026). These are allegations, not findings — they do not establish that Otter or any vendor did anything unlawful, and they should not be extrapolated to other tools. They are cited only to show the legal question around cloud-held meeting content is live.
Compliance and certifications: where cloud earns its keep
Certifications and contracts are where mature cloud vendors genuinely earn trust, and it would be dishonest to wave that away. Otter reports a SOC 2 Type 2 report, AES-256 server-side encryption at rest, and HIPAA compliance announced July 10, 2025 (otter.ai/privacy-security; Otter blog). Fireflies reports SOC 2 Type II, AES-256 at rest and TLS 1.2 in transit, and HIPAA with a signed BAA on Enterprise plans (Private Storage also required) (fireflies.ai/security; Fireflies HIPAA KB, 2026). Granola reports its practices meet SOC 2 Type 2 standards (granola.ai/security, 2026). Jamie reports ISO 27001 and GDPR compliance with EU hosting (meetjamie.ai, 2026).
On-device shifts the trust model from "an audited vendor handles your data well" to "your data does not leave the device." NoteGenerator is notarized, runs in the App Sandbox, encrypts at rest with AES-256, and stores its key in the macOS Keychain — but it is a single-user, Mac-only app and does not offer a signed BAA. If your requirement is a BAA or admin-enforced team controls, a cloud vendor is the better fit.
When cloud AI is the better choice
Cloud AI notes are the better choice for several real jobs, and NoteGenerator does not do them. If you need to capture remote video meetings hands-free, Otter's assistant auto-joins Zoom, Microsoft Teams, and Google Meet from your calendar (otter.ai/business, 2026), and Fireflies sends a visible "Fireflies.ai Notetaker" bot and builds a searchable, shareable team knowledge base (Fireflies KB, 2026). If you want a polished bot-free notepad that syncs across a phone and a laptop with a SOC 2 posture, Granola fits (granola.ai/security, 2026). If you are EU-based and want bot-free capture with European residency and 70+ languages, Jamie fits (meetjamie.ai, 2026).
Cross-platform and team needs also favor cloud or cross-platform local tools: NoteGenerator is Mac-only and single-user, so for shared team notes or Windows, a cloud or cross-platform tool — Fireflies, Jamie, the open-source Meetily (macOS + Windows), or Otter — is better suited (meetily.ai, 2026).
When on-device is the better choice
On-device is the better choice when the priority is that the conversation never leaves your machine — for in-person or desktop-audio sessions, work offline, and situations where you would rather no third party hold your recordings at all. NoteGenerator for Mac is built for exactly that user: a turnkey (non-engineer) Mac app that keeps recording, transcription, and structured AI note generation on-device by default, and lets you spot-check that closed path yourself with a one-tap Seal Test.
Be honest about the gates. NoteGenerator requires Apple silicon (M1 or newer), is Mac-only and single-user, needs several GB of disk for the model, and recommends 16 GB RAM for the AI-written note (with less you still get the transcript). Pricing is $49 once (intro; $149 list) or $9.99/month, with a free week, no card, and no account. If you want open-source or free, Anarlog and Meetily run note generation locally too (their own docs, 2026); if you need iPhone capture, Mumble adds a companion iOS app (heymumble.com, 2026); if you mainly need raw transcription or system-wide dictation, MacWhisper (one-time €64) or Superwhisper are better tools (their own sites, 2026).
How to verify what your tool actually does
Because "private" and "on-device" are claims, the useful question is how you verify them. NoteGenerator gives you two in-app signals: a live connection counter that reads 0 when sealed, and a one-tap Seal Test in which the app attempts to open a network connection to itself and you watch it be blocked before it reaches the network. Read the scope honestly — this shows the app opened no network connection during your session on your machine; it does not prove the binary can never send data under any other condition.
The strongest verification combines architecture with your own checks: prefer a design that is local by default, then confirm behavior yourself by recording with Wi-Fi off after the model download and watching the connection counter during a session. See how to verify it works offline for the step-by-step method, and the specs page for exactly what runs on your Mac.
Frequently asked questions
What's the difference between on-device and cloud AI meeting notes?
NoteGenerator for Mac is an on-device AI note taker, and the difference from cloud AI notes is where your conversation goes. Cloud tools like Otter, Fireflies, and Granola transmit audio or transcripts to vendor servers to transcribe and summarize, then store the notes in their cloud (their own docs, 2026). On-device tools keep recording, transcription, and AI note generation on your Apple-silicon Mac after a one-time model download, so content stays local apart from content-free exceptions like that download and license activation.
Does cloud AI meeting software keep my audio recordings?
NoteGenerator for Mac keeps audio on your device, while cloud vendors differ on retention. Granola and Jamie say they delete meeting audio after transcription and do not retain recordings (their own docs, 2026), whereas Fireflies stores meeting audio, video, and transcripts in its US cloud until you delete them (Fireflies KB, 2026). Either way, cloud audio is transmitted off your device to be transcribed; on-device processing keeps it on your Mac after the one-time model download.
Can on-device AI notes work without an internet connection?
NoteGenerator for Mac works with Wi-Fi off after a one-time model download, because recording, transcription, and AI note generation all run on your Apple-silicon Mac. Other local tools describe the same design — Superwhisper "works offline" with local models and Mumble runs a "100% on-device" mode (their own sites, 2026). Cloud tools like Otter and Fireflies require an internet connection because transcription and summarization happen on their servers. Note that 16 GB RAM is recommended for the AI-written note.
Is cloud AI note-taking HIPAA compliant?
Cloud AI note-taking can be HIPAA-aligned with the right vendor and contract: Otter announced HIPAA compliance (Otter blog, July 10, 2025) and Fireflies offers HIPAA with a signed BAA on Enterprise plans plus Private Storage (Fireflies KB, 2026). NoteGenerator for Mac takes a different approach — as a single-user, Mac-only, on-device app it keeps data local (AES-256, macOS Keychain) rather than offering a BAA, so evaluate it against your own compliance needs, not as a substitute for one.
Which is more private, on-device or cloud AI notes?
NoteGenerator for Mac reflects the on-device privacy model: your conversation stays on your Apple-silicon Mac after a one-time model download, so no vendor holds it — apart from content-free exceptions like license activation and update checks. Cloud tools reduce exposure in other ways: Granola is bot-free and deletes audio after transcription, and Fireflies says it does not train on your data by default (their own docs, 2026). On-device removes the third-party data-holder entirely; cloud relies on vendor policy, contracts, and audits.
Can a subpoena or legal request reach my AI meeting notes?
NoteGenerator for Mac stores your notes only on your Mac, so no third party holds them to produce in response to a subpoena. Cloud tools store transcripts and notes on vendor servers — for example, Granola in a US-hosted AWS cloud and Fireflies in its US cloud on AWS and GCP (their own docs, 2026) — which a provider can be compelled to produce and which is reachable in a data breach. On-device keeps that data-holder surface off vendor infrastructure; the trade-off is you lose cloud backup and sync.
Do AI note takers train their models on my conversations?
It depends on the tool and plan. Granola trains on anonymized data by default with an opt-out (Enterprise is off by default), and Otter trains its own proprietary AI on de-identified recordings and transcriptions (their own policies, 2026); Fireflies and Jamie say they do not train on your data (their own docs, 2026). NoteGenerator for Mac never sends your conversation off the device to train anyone's model, because transcription and note generation run locally after a one-time model download.
How can I verify a note taker actually keeps my data on-device?
NoteGenerator for Mac includes a live connection counter that reads 0 when sealed and a one-tap Seal Test: the app tries to open a network connection to itself and you watch it be blocked before it reaches the network. This shows the app opened no network connection during your session on your machine — it does not prove the binary can never send data under other conditions. You can also confirm behavior yourself by recording with Wi-Fi off after the model download.
Sources
Every statement about another product above is dated and linked to that company's own documentation. Policies change often — verify against the current source before you rely on it.
- Granola — Security page (bot-free capture; US-hosted AWS VPC storage; encryption at rest and in transit; third-party providers Deepgram, Assembly, OpenAI, Anthropic; training on anonymized data by default with opt-out, Enterprise off; SOC 2 Type 2) — as of July 2026
- Granola — Privacy Policy (US AWS storage; de-identified data used to train models with opt-out; Enterprise opted out by default; audio not retained after transcription) — as of Effective 24 July 2026 (read July 2026)
- Otter.ai — Privacy Policy (records/stores in the cloud on AWS in the US; trains its proprietary AI on de-identified audio recordings and transcriptions) — as of Effective June 16, 2026 (read 2026-07-20)
- Otter.ai — for Business page (assistant auto-joins Zoom, Microsoft Teams, and Google Meet from your calendar) — as of 2026-07-20
- Otter.ai — Privacy & Security page (AES-256 server-side encryption at rest; SOC 2 Type 2; third-party AI providers do not train on customer data) — as of 2026-07-20
- Otter.ai — Blog: Otter.ai Achieves HIPAA Compliance — as of July 10, 2025 (read 2026-07-20)
- In re Otter.AI Privacy Litigation, No. 5:25-cv-06911-EKL (N.D. Cal.) — public docket (unproven allegations; no ruling reported as of 2026-07-20) — as of 2026-07-20
- NPR — reporting on the Otter.ai putative class action (originating Brewer v. Otter.ai filed Aug 15, 2025; allegations unproven) — as of 2026-07-20
- Recording Law — Otter.ai Wiretap Lawsuit Explained (consolidation Oct 22, 2025; MTD heard May 20, 2026; no ruling reported) — as of Article verification June 20, 2026 (read 2026-07-20)
- Fireflies — Learn about data storage and transfer KB (meeting audio, video, and transcripts stored in US cloud on AWS and GCP; OpenAI named as example vendor) — as of 2026-07-20
- Fireflies — How Fireflies joins and records your meetings FAQs KB (visible 'Fireflies.ai Notetaker' bot; cross-platform capture) — as of 2026-07-20
- Fireflies.ai — Security page (AES-256 at rest; TLS 1.2 in transit; SOC 2 Type II; HIPAA on Enterprise) — as of 2026-07-20
- Fireflies.ai — Privacy Policy (does not use personal information for AI model training; vendors contractually prohibited) — as of Last updated March 6, 2026 (read 2026-07-20)
- Fireflies — Auto-delete meeting feature KB (data retained until deleted; automatic/custom retention is Enterprise-only) — as of 2026-07-20
- Fireflies — Set up HIPAA compliance KB (Enterprise-only; requires signed BAA and Private Storage) — as of 2026-07-20
- Jamie (meetjamie.ai) — bot-free cloud; full storage and processing EU data residency; audio deleted after transcription; data never used for training; GDPR; ISO 27001; AES-256 at rest and TLS 1.2 in transit; apps for Mac, Windows, iPhone, Android; 70+ languages — as of 2026-07-20
- Anarlog — GitHub README (on-device transcription, 'audio never leaves your machine'; local markdown storage; MIT license; bring-your-own-LLM including local models; no meeting bot; self-hostable) — as of 2026-07-20
- Anarlog — 'Char Is Now Anarlog' blog (macOS only; free forever; rename history) — as of 2026-07-20
- Meetily — website (all processing local, 'your data never leaves your device'; MIT open source; native apps for macOS and Windows; free Community Edition, Pro $10/user/month) — as of 2026-07-20
- Mumble (heymumble.com) — website ('100% on-device' mode, 'audio never leaves your device'; bot-free; macOS 14+ Apple silicon plus companion iOS app; local mode free) — as of 2026-07-20
- MacWhisper — website (local transcription, 'process sensitive content locally'; macOS; free plus one-time €64 Pro; primarily a transcription tool) — as of 2026-07-20
- Superwhisper — website ('works offline' with local models on Apple silicon; macOS, Windows, iOS; free plus Pro $8.49/month or $249.99 lifetime; dictation with meeting-notes feature) — as of 2026-07-20
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