Granola vs Everpaper: an honest comparison (2026)

Bias declared, once: Everpaper is our product. We offer a founding-license option for early supporters, and we have an obvious interest in how this comparison lands. So we'll name Granola's real strengths plainly, including the places where it beats us, and let the data path decide the rest.

This is the fairest fight in our whole comparison series. Most AI meeting tools send a visible bot into your call; Granola and Everpaper both capture audio locally, no bot, no awkward participant-slot guest.

Quick verdict

Choose Granola if:

• You want the best-written AI meeting notes in the category, full stop; its note quality is the most praised we found
• You're on Windows, or you need iPhone/Android apps for in-person meetings
• You like jotting rough notes yourself and having AI flesh them out
• You need team billing, Slack/HubSpot/Notion integrations, or an admin console

Choose Everpaper if:

• Meeting audio leaving your machine is a hard no; Everpaper transcribes on the Neural Engine, nothing streams anywhere
• You want a day journal and a second brain alongside meetings, not meetings alone
• You need real speaker labels, hidden speakers, and the actual audio kept
• You prefer a founding-license option for early supporters to per-user monthly billing

At a glance

How we compared

We pulled every Granola claim from its own docs, security page, and pricing page (all checked 2026-08-04), plus public reviews: the G2 complaint threads, tldv's "no-recording catch" teardown, the meetingnotes.com 66/100 review. Every Everpaper claim comes from our shipped docs at everpaper.app/docs. Where a fact was unverifiable, we say so instead of guessing.

Head-to-head

Where the audio goes

Verdict: Everpaper, and it's not close. This is the whole comparison.

Granola's no-bot design is genuinely good: the desktop app captures your microphone and system audio locally, and never transcribes a meeting you didn't click into. But then the audio streams to Deepgram or AssemblyAI for transcription, and the text goes to OpenAI or Anthropic for notes. Transcripts and notes live in Granola's US-hosted AWS, encrypted at rest and in transit. Granola is SOC 2 Type 2 certified and publishes public security post-mortems; as cloud data handling goes, it's careful and transparent.

It's still cloud. Granola also trains its own models on anonymized user data by default on the free and Business tiers; you can opt out in Settings, and training is off by default on Enterprise. To their credit, OpenAI and Anthropic are barred from training on what Granola sends them.

Everpaper's meeting pillar, The Minutes, transcribes on your Mac's Neural Engine using Parakeet (parakeet-tdt-0.6b-v3, the default engine), with Whisper and MOSS (transcription and diarization in one model, Apache 2.0) as opt-in alternatives. No account, no sign-in, no stream. The AI features (meeting Ask, summaries, the day narrative) wait until you configure a provider, and the provider can be local: Ollama, LM Studio, oMLX, or Apple Foundation Models. Cloud providers (Anthropic, OpenAI, Gemini, OpenRouter) only work after you flip Allow cloud AI to analyze your journal, which is off by default. An offline redaction pass scrubs API keys, tokens, card numbers, and SSNs at capture time and again before any outbound AI call.

If your threat model includes "vendor gets subpoenaed" or "vendor gets acquired," architecture beats policy. Policy is what Granola offers; architecture is what Everpaper is.

Note quality and meeting UX

Verdict: Granola. Honestly.

Granola's note quality is the most praised in the category; Nat Friedman said "it generates the best meeting notes of anything I've tried so far," and long-term users report it replacing their entire note-taking workflow. The human-in-the-loop trick is smart: you jot rough bullets during the call, and the AI merges them with the transcript into polished notes. That gives you more say in the output than a fully auto-generated summary, and it shows.

Everpaper's meeting flow is different in kind. While the meeting runs, a floating panel shows level meters and a live speaker-labeled transcript, with Notes tabs (⌘1–⌘3) and slash snippets like /decision and /action. An Ask tab runs AI over the live transcript with quick prompts: Catch Up when you join late, Challenge when you want the claim poked. After the meeting, Extract todos pulls action items into Today's Focus automatically. It's a working surface more than a writing surface. If your benchmark is "the notes read like a colleague wrote them," Granola wins today.

Speaker attribution and verification

Verdict: Everpaper.

Granola's desktop transcript labels speakers as "Me" (your mic, green bubbles) and "Them" (system audio, grey bubbles). Named speaker tags exist only for Google Meet (browser extension) and Zoom (macOS), but not Teams or anything else. And because Granola stores no audio, ever, you cannot play a moment back to check a quote. tldv called this "the no-recording catch," and it's the complaint that keeps surfacing in reviews. In a client dispute, "the AI wrote it down" without audio is a weak position.

Everpaper records mic and system audio as separate time-aligned tracks, shows live speaker labels, and keeps the audio; Save Audio is a first-class export. Hide my voice and Hide any speaker (⌘4, persists across meetings) remove a speaker from the record entirely, which is the cleanest answer we know to "this person should not be on tape." MOSS's honest edges: word-level timestamps inside a sentence are approximate, and a long-silent voice can re-enter under a new speaker label.

Scope: meetings vs the rest of your day

Verdict: depends what you came for, but Everpaper covers more ground.

Granola does one thing: meetings. It does them well. Its web app is view/edit only; it cannot capture or transcribe, and it cannot import pre-recorded audio files.

Everpaper is a daybook. Day Journal takes periodic screenshots of the front window (default every 2 minutes), OCRs them on-device, and writes a day narrative; screenshots are kept 30 days by default. Second Brain builds a cross-day knowledge graph (People, Files, Sites, Topics, each tied to exact moments) with plain-language Beliefs and confidence markers, computed locally and readable with no AI provider. It gates itself: 5 days, 300 frames, 60 distinct things, 3 recurring threads before it says Ready. Ask the Book (⇧⌘A) answers from matching days with a Sources list where every source is the exact frame: time, app, window title. Clicking opens the original screen. If you only want meeting notes, that scope is overhead. If you want "what was I looking at when the client said that," Granola has no answer at all. See how the day journal works and the meetings pillar.

Platforms and fit

Verdict: Granola, decisively.

Granola runs on macOS and Windows, with iOS and Android apps for in-person meetings, and calendar sync for Google Workspace and Microsoft 365. Sign-in requires a Google or Microsoft account.

Everpaper is macOS 14.2 or later, Apple Silicon only; Intel Macs are unsupported, and there's no iOS, Windows, Linux, Android, or web version in the supplied product docs. It's also in private beta with limited spots. If any of those constraints hit you, Granola is your answer and this section is the one that matters.

Use cases

• Consultant on Windows, 20 Zoom calls a week, wants notes that read well: Granola, Business tier. This is its home turf.
• Counsel-adjacent or M&A conversations where audio in someone else's cloud is a non-starter: Everpaper. On-device transcription, hidden-speaker options, audio kept locally.
• Founder who wants meetings plus a searchable memory of the whole day: Everpaper. Granola ends at the meeting's edge.
• Team lead who needs shared folders, Slack push, HubSpot sync, and central billing: Granola. Everpaper's supplied docs do not describe team billing or CRM connectors.
• In-person meetings from a phone: Granola's mobile apps. Everpaper has no mobile story.

Honest pros and cons

Granola pros: the best-reviewed note quality in the category; human-in-the-loop notes give you editorial control; Windows and mobile support; works on any platform via system audio; SOC 2 Type 2 with public post-mortems; fast shipping (MCP, API); strong customer roster (Brex, Linear, Intercom, PostHog, Replit).

Granola cons: audio streams to Deepgram/AssemblyAI, text to OpenAI/Anthropic; trains on anonymized data by default outside Enterprise; no audio stored means no playback, ever; speaker attribution is "Me"/"Them" outside Meet and Zoom; free tier's meeting history is limited (exact cap isn't published); one teardown scored it 66/100 over export and integration gaps.

Everpaper pros: transcription on the Neural Engine, nothing leaves the Mac by default; live speaker labels with hidden-speaker options; audio kept as separate mic/system tracks; day journal and second brain around the meetings; every AI answer verified against captured history with unsupported claims stripped; exports to txt, markdown, srt, vtt, json, plus a full Obsidian vault.

Everpaper cons: macOS 14.2+ and Apple Silicon only; no mobile, no web, no Windows; private beta with limited spots; AI features wait for a provider (local ones work); Second Brain needs 5 days and 300 frames before it's Ready; MOSS wants 16 GB machines to be happy.

Pricing

Granola (per user per month, checked 2026-08-04, no annual discount shown on the pricing page): Basic free with limited meeting history; Business $14: unlimited history, integrations (Notion, Slack, HubSpot, Attio, Affinity, Zapier), MCP, API; Enterprise $35: SSO, admin controls, org-wide auto-deletion, model training off for the team. A solo user on Business pays $168 over 12 months; a 10-person team pays $1,680. The page previously listed Business at $10; it's $14 as of the check date.

Everpaper is in private beta with limited spots, with a founding-license option for early supporters, not a monthly subscription. No public price as of 2026-08-04, and we won't quote one here.

FAQ

Is Granola private?

It's bot-free and SOC 2 Type 2 certified, and it doesn't store your audio. But it is not on-device: audio streams to Deepgram or AssemblyAI for transcription, text goes to OpenAI or Anthropic for summarization, and transcripts and notes are stored in Granola's US-hosted AWS. Granola also trains its own models on anonymized user data by default on free and Business tiers; you can opt out in Settings. If "private" means "nothing leaves my machine," Granola doesn't meet that bar; Everpaper is built around exactly that bar. More on our model in the privacy docs.

Does Granola store recordings?

No — ever. Granola's own docs state it doesn't store meeting audio; it transcribes in real time on desktop (or from temporarily cached audio on mobile) and keeps only the transcript and your notes. That's a genuine privacy choice and it also means there's nothing to play back: you can't verify a quote against the recording. Everpaper keeps meeting audio locally on your Mac, with mic and system as separate tracks. Its screenshot retention options are 7/30/90 days or Forever.

Does Granola work on Teams?

Yes — Granola captures anything playing through system audio, so Teams calls transcribe fine. The catch is speaker labels: named speaker tags exist only for Google Meet and Zoom, so a Teams transcript comes back as "Me" and "Them." Everpaper labels speakers live regardless of platform, and recognizes Teams links for auto-start.

Can Everpaper replace Granola if I only care about meetings?

If you're on an Apple Silicon Mac and the meeting is your whole use case, The Minutes covers recording, live transcript, Ask, action-item extraction, and export, all on-device. What you give up is Granola's polished written-note style, Windows and mobile support, and the team integrations. What you gain is audio that never leaves the machine and a recording you can actually check.

Final recommendation

This one's genuinely close, and the tiebreaker is your constraint, not the feature list. If you're on Windows, need mobile capture, or value Granola's human-in-the-loop notes, its $14 Business tier is the cloud option in this comparison.

If meeting audio in a third party's cloud, however carefully handled, is the thing you can't accept, Everpaper keeps transcription on the Neural Engine and meeting audio on the Mac; screenshots follow the retention period you set. You trade away platforms, polish, and immediacy; we're in private beta and we know it.

Want in? Join the waitlist at everpaper.app: private beta, limited spots, founding-license option for early supporters. Read how The Minutes works before you decide, and see Granola alternatives if you're still surveying the field.