A Granola alternative for Mac that keeps client-call audio off the cloud

By Kyle Nelson, Founder, Fazit

Fazit is the Granola alternative for Mac if your first question is where the call audio goes. Granola is bot-free, which is good, but Fazit goes further: transcription and note generation run on the Mac, the call audio is never written to disk, and the finished note lands as Markdown in your Obsidian vault.

What is the best Granola alternative for Mac?

For confidential 1:1 client calls, the best Granola alternative on Mac is the one that removes the vendor from the call-content path. That means no meeting bot, no cloud transcription, no stored audio file, and no vendor database holding the final note.

Fazit is a native macOS menubar app built around that architecture. It captures your microphone and the call app's audio locally, transcribes the two streams on-device with Parakeet via CoreML, generates the note through a local model on localhost, then writes one Markdown file into your Obsidian vault or Apple Notes. There is no Fazit database holding a copy of the note.

Granola solved the visible-bot problem. That matters because a bot in the waiting room changes the tone of a client call before anyone has said a word. But bot-free and private are different claims, as we covered in Bot-Free Is Not the Same as Private. A bot-free notetaker can still stream audio to vendor infrastructure and third-party speech services.

That’s the line to draw for consultants, coaches, lawyers, financial advisers and therapists. If the tool receives call audio, stores a transcript indefinitely by default, or sends audio through third-party services before deletion, you still have a third-party call-content path to explain to clients, counterparties, firms, supervisors or regulators.

Fazit’s design answer is narrower and cleaner: call content stays on the Mac for note generation, while account, licensing, payment, updates and optional product analytics are separate from the call-content lane.

Granola vs Fazit on Mac

The comparison is not about whether both apps can write a usable note. Modern AI notetakers can. The comparison is where the durable artifacts of the conversation appear.

QuestionGranolaFazit
Does a bot join the call?No botNo bot
Where does transcription happen?Granola's public docs, as summarized in our subprocessor analysis, name OpenAI and Anthropic and describe audio reaching Granola systems and third-party services before deletionOn the Mac, using Parakeet via CoreML
Is call audio written to disk by the app?Audio reaches Granola systems before it is deletedNo. Audio exists in a fixed-size RAM ring buffer with no write API
Where does note generation happen?Cloud serviceLocal model on localhost
Where is the final note stored?Granola cloud productPlain Markdown in your Obsidian vault, or Apple Notes
Does the vendor hold a note database copy?Granola stores transcripts and notes in the cloudNo Fazit database holds a copy
Obsidian workflowNo official Obsidian export, with community sync methods and copy-paste workflowsNative Markdown file written into your vault
PlatformMac productNative macOS menubar app
Certifications claimed hereNo claim made in this postNo SOC 2 or HIPAA certification claim

Granola is the stronger choice if you want a polished cloud workspace built around meeting notes and you accept that call content goes through vendor infrastructure. Fazit is the stronger choice if your notes belong in local files and your client-call audio should never be eligible to become a stored recording.

For a wider vendor comparison, see The Best Granola AI Alternatives in 2026, Ranked by Where Your Audio Goes. For the same comparison across Fathom, Otter, Fireflies, tl;dv and Granola, see Fazit vs. the Cloud Notetakers.

Does Granola sync to Obsidian on Mac?

Granola has no official Obsidian export in the material we’ve reviewed. Users work around that with community sync plugins, cache scrapers and copy-paste habits, which we covered in How to Sync Granola Notes to Obsidian.

That workaround matters because Obsidian is file-based. If your meeting note starts life as a row in a vendor product, you now have a sync problem, a deletion problem and a source-of-truth problem. If the note starts life as a Markdown file in your vault, Obsidian is the system of record from the first second.

Fazit writes one Markdown file into a folder of your Obsidian vault. The note can include a summary, notable moments, action items with owners, a paste-ready follow-up email and a You/Them transcript for 1:1 calls. The attribution works because your microphone is one stream and the remote party is the call app's audio stream, so Fazit does not need diarization guesswork for a two-person call.

That also defines the boundary. Fazit is built for 1:1 client calls. The source material explicitly cuts multi-party speaker labels from the MVP because three or more participants collapse remote voices into one mixed system-audio channel, which requires diarization.

Is there a Mac AI notetaker without a bot?

Yes. Granola is bot-free, and Fazit is bot-free. The visible difference between them is not the bot. The difference is the server.

Fazit uses a Core Audio process tap to read the call app's output and the microphone directly. Nothing joins Zoom, Meet, WhatsApp Desktop, Slack or another selected call app. Other participants do not see a recorder, a guest, or a calendar-invited assistant.

Capture at the audio layer also means Fazit does not need calendar access to know which calls to join. Meeting bots usually depend on calendar OAuth because they need meeting links. That creates its own data exposure: event titles, attendee addresses and every meeting the calendar grant can read. We covered that pattern in An AI Notetaker Without Calendar Access.

Fazit’s app picker handles Zoom with a one-click start and can capture other Mac call apps through the picker. The Mac prompts once for microphone access and once for audio capture. The audio-capture path relies on macOS Core Audio process taps, not a screen-recording workaround.

Is a bot-free Mac notetaker private?

No, not by itself. Bot-free describes meeting presence. It says nothing about transcription location, storage, subprocessors, default retention, or where the final note lives.

That is why the Granola question has become an architecture question. Our post on Granola Subprocessors summarizes the public-docs issue: the subprocessor list itself sits behind a Trust Center request, while the public security FAQ names OpenAI and Anthropic, describes US-only AWS storage, says there is no EU residency, says transcripts are retained indefinitely by default, and says audio reaches Granola systems and third-party services before it is deleted.

Fazit’s call-content pipeline is different. Audio lives in RAM in a fixed-size ring buffer. That buffer has no write API. It is destroyed on every exit path including errors. Every note records audio_retained: false in its frontmatter.

That is an architectural claim, not a certification claim. Fazit is an early-stage product. It makes no maturity, scale, SOC 2 or HIPAA certification claims.

What Mac requirements does Fazit have?

Fazit requires macOS. There is no Windows, Linux, iOS or Android version.

The product repository states the current Mac requirement as Apple Silicon with macOS 14.4 or later, because the implementation uses Core Audio process taps. It also states that the note-writing step currently uses a local model on localhost, with Ollama named in the setup instructions. The public site describes the same call-content boundary: transcription runs on-device and notes are generated locally, while models may be downloaded once from public CDNs on first run and account, licensing and payment use Fazit servers.

That distinction is worth saying plainly. “Nothing leaves the Mac” is too broad unless you define the lane. Fazit’s claim is that call content does not leave the Mac for note generation: audio, transcript and note content are not uploaded to Fazit for that job.

The pricing page is separate from the capture pipeline. The source material states a 7-day free trial with no card, then a one-time licence rather than a subscription, with current pricing at /pricing/.

Is Fazit a safer Granola alternative for lawyers, advisers, therapists and consultants?

Fazit reduces the vendor and audio-file exposure. It does not erase the person running the call from the analysis.

This is not legal advice, and consent and professional-conduct duties apply to the person running the call.

That sentence matters for every bot-free notetaker, including Fazit and Granola. If a jurisdiction, engagement letter, regulator, professional rule, employer policy, client agreement or consent law requires notice or permission, the person using the tool still has to handle that. Architecture can remove the vendor’s copy of call audio. It cannot speak the consent line for you.

For lawyers, the concern is also privilege, because sending client-call audio to a vendor and its subprocessors creates a third-party disclosure argument and a discoverable record. See AI Notetakers for Lawyers. For financial advisers, the posture we argue for is one retained note under your own policy with no recording behind it, covered in An AI Notetaker for Financial Advisors. For consultants, the NDA often decides the answer before product features enter the discussion, as we wrote in An AI Notetaker for Consultants.

The Granola-specific legal file is also active. A proposed class action filed on 30 July 2026 in the Northern District of California argues that the no-bot capture pattern left other participants with no way to know a recording was running. A complaint does not establish facts, and our case-file post says that clearly: The Granola Lawsuit.

Which Granola alternative should Mac users choose?

Choose Granola if you want a bot-free cloud notes product and you are comfortable with its audio path, storage model and Obsidian workarounds. Choose Fazit if your client-call note should be a Markdown file in your vault and the audio should never be written to disk.

That opinion is deliberately narrow. Fazit is not trying to be a CRM, a multi-party sales archive, a team search product, or a calendar-driven meeting assistant. It is built for 1:1 client calls where the finished artifact is the note, not the recording.

If you are comparing tools for a confidentiality-bound practice, ask four questions before you compare summaries: does a bot join, where does transcription run, is audio ever written to disk, and who stores the final note. Fazit’s answers are no bot, on-device transcription, RAM-only audio, and Markdown in your vault.

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