Granola solved the bot. It did not solve the audio.

The best Granola alternative depends on why you are leaving. Granola is genuinely the best of the bot-free cloud notetakers — but it still streams your call audio to third-party transcription services. If you want more privacy, the alternative is on-device. If you want more features, the alternatives are cloud recorders. Here is the field, ranked on the one axis that decides it.

Why people look past Granola

Granola earned its reputation honestly: no bot in the room, clean AI-refined notes, SOC 2 Type II. If you are searching for an alternative anyway, it is usually one of three reasons:

• It is bot-free, but not on-device. To turn audio into text, Granola streams your call to third-party services and deletes the raw audio afterwards. Its own security FAQ names OpenAI and Anthropic, AssemblyAI lists Granola as a customer on its own site, and the FAQ says the audio is deleted “from our systems and any third-party services” after transcription, which is a disclosure that it reaches them first. The full subprocessor list is behind a Trust Center request, so we cannot name the rest of the chain and will not guess at it.
• Mac-centric. Like most of this category’s best tools, it is happiest on Apple hardware.
• “Deleted after” is a promise, not a property. For casual meetings that is fine. For privileged, clinical, or fiduciary calls, the audio having existed on someone else’s server at all is the problem.

Since 30 July 2026 there is a fourth reason people arrive here, and it is worth stating carefully: Granola faces a proposed class action over recording without all-party consent. It is a complaint, not a finding, no court has ruled on any count, and the consent question in it applies to every bot-free notetaker including this one. It is a reason to check your own disclosure habit, not on its own a reason to switch tools.

So the alternatives split cleanly by where your audio goes — the framework from On-Device vs. Cloud AI Notetakers. Here is the whole field on that axis:

                A BOT JOINS   AUDIO LEAVES    ON-DEVICE        AUDIO KEPT
                THE CALL?     YOUR DEVICE?    TRANSCRIPTION?   AFTER THE CALL?
Granola         no            yes, to ASR     no               deleted after
Jamie           no            yes, to ASR     no               deleted after
Shadow          no            no              yes              yes, on your Mac
Talat           no            no              yes              yes, on your Mac
Otter           yes           yes             no               yes, in their cloud
Fireflies       yes           yes             no               yes, in their cloud
Fazit           no            no              yes              never written

Three rows keep the audio on your Mac. Only one of those three never writes it down. That last column is the one people skip, and it is the one that decides whether a recording of the call exists somewhere a year from now. Every cell above is sourced in the section for that tool, all checked on 6 August 2026; vendor terms move, so re-read them before you commit.

1. Fazit: the on-device pick

Where it beats Granola. Fazit runs the speech model on the device itself. Audio is captured into a fixed-size RAM ring buffer, a local model on Apple Silicon consumes a snapshot, and the note is written to your vault as Markdown. The audio never leaves the machine — so there is no subprocessor to list, no transfer to disclose, and no “deleted after transcription” step to trust. Granola’s strongest claim is that it deletes the audio quickly; Fazit’s claim is one layer beneath it: the audio was never eligible to be sent.

The catch. Apple Silicon only, no proxy bot to record meetings you did not attend, and a smaller integration surface than a cloud CRM autopilot. These are deliberate — the moment a tool buffers to a server or records calls you are not on, it inherits the exact risk you left Granola to avoid.

Best for. Lawyers, therapists, coaches, and advisors — anyone for whom the existence of a recording is itself a liability.

2. Shadow: the closest thing to a like-for-like local swap

Where it beats Granola. Shadow detects meetings at the system level with no bot, and the transcription is genuinely on-device. Its own site states it plainly: “Transcription happens on your Mac. Audio never leaves your device, and your meetings are stored locally.” Text reaches a cloud LLM only when you run one of its Skills, and their page says turning Skills off keeps everything on the machine. It saves transcripts and Skill outputs as .md files, so a folder inside your vault works as the destination.

The catch. The audio is kept. Unlimited Audio Recording is a listed free-tier feature, so a durable recording of every call sits on your Mac by default. That is a far better place for it than a vendor cloud, and it is still a file that can be imaged, backed up, synced, or produced in discovery. The AI notes are the paid tier at $8 a month, and they are the part that leaves.

Best for. People who want local transcription and are comfortable holding the recordings themselves. Correction, 6 August 2026: an earlier version of this post said Shadow’s audio leaves the device for transcription. That was wrong, and their own documentation says so.

3. Talat: pay once, local models, Obsidian export

Where it beats Granola. Talat captures the mic and system audio without a bot, and runs transcription on your own machine with built-in AI writing the summaries; Qwen, Claude, OpenAI and Ollama are selectable, so the cloud is opt-in rather than the default path. It exports finished meetings into an Obsidian folder as Markdown, and it sells a lifetime licence alongside the subscription, which is rare in this category. TechCrunch covered it in March 2026 at $49; the site now lists from $9 a month or $189 once, which is a useful reminder to check the price yourself rather than trust a review.

The catch. Same shape as Shadow: their own copy says your recordings, transcripts and notes live in a local database on the machine, so the recording exists. The Obsidian export has a “copy audio alongside” option that puts the original recording in the vault next to the note, which is off unless you tick it. Requirements are macOS 15 or later on Apple Silicon, or Windows 10 and up.

Best for. People who want one payment, local models they can swap, and Markdown in the vault, and who are fine keeping the audio.

4. Jamie: the EU-flavored Granola

Where it beats Granola. Same bot-free instinct, with European positioning that reads well to EU buyers. Its security page says all storage and processing stays within the EEA, Switzerland and the UK, and that meeting audio is deleted after transcription. If your objection to Granola is data residency rather than architecture, Jamie is the closest like-for-like swap.

The catch. It is still cloud transcription. Bot-free removes the visible participant; it does not keep your audio on your device. You are trading one cloud for a differently-located cloud, which matters for GDPR paperwork but not for the underlying data path.

Best for. EU teams who like Granola’s model but want European data-processing on record.

5. Otter: the mainstream cloud heavyweight

Where it beats Granola. Fast real-time transcription, a searchable archive, a long track record, and team features Granola does not chase. If you treat meeting notes as a company-wide knowledge base, Otter has scale on its side.

The catch. This is a step in the wrong direction on the axis you left Granola over: Otter sends a bot into the call and records everyone to its cloud, and it has faced litigation over consent and training on user recordings (see Is Otter.ai Safe?). The specifics are in our full cloud-notetaker comparison.

Best for. Teams that need a shared, searchable transcript archive and have accepted the cloud-recording tradeoff.

6. Fireflies: the sales-ops choice

Where it beats Granola. A deep integration ecosystem — CRM field sync, Slack, unlimited-transcription tiers — that makes it sticky for revenue teams. For conversation intelligence and pipeline automation, it does more than Granola aims to.

The catch. Also a bot-based cloud recorder, with a central store of meeting data and biometric-privacy litigation in Illinois over voiceprints. Same comparison for the details. If Granola felt too exposed, Fireflies is more exposed, not less.

Best for. Sales orgs that want CRM automation and conversation analytics above all else.

A 20-second decision guide

• Regulated or confidential work where a recording is itself the liability? Fazit, because there is no audio file to hold, back up, or produce.
• Notes live in Obsidian? All three local options write Markdown you can point at a vault. Pick on the audio question: Shadow and Talat keep the recording, Fazit never creates one.
• Want to keep the recordings and play them back? Shadow or Talat, and prefer them to a cloud recorder for it.
• Want to pay once instead of monthly? Talat or Fazit.
• Want Granola’s model with EU data residency? Jamie.
• Need a shared, searchable team archive? Otter.
• Want CRM and sales conversation intelligence? Fireflies.
• On Windows today? Jamie, Otter, Fireflies, or Talat, which lists Windows 10 and up. Fazit and Shadow are Mac only, so name that constraint before you shortlist them.

FAQ

What is the best alternative to Granola?

It depends on why you are leaving. For a free bot-based tool, Fathom. For sales workflows, Fireflies. If you are leaving because the audio still goes to the cloud, the alternative has to be on-device, and the thing to check in each candidate is whether audio is written to disk and where summaries are generated.

Is Granola private?

Granola is bot-free and deletes the audio after transcription, which is better than most. Its own security FAQ also states that audio is cached during the meeting and then deleted from its systems and any third-party services, that all data is stored on AWS in the United States with no EU residency option, and that transcripts are retained indefinitely unless someone configures a retention policy.

Does Granola export to Obsidian?

Not officially. The community has built sync plugins, cache scrapers and copy-paste workflows to bridge the gap, and some newer plugins use Granola’s official MCP API with OAuth. Every method leaves the vault copy downstream of the cloud original.

Is there a Granola alternative that runs entirely on my Mac?

Yes, and there is now more than one. Shadow states on its own site that transcription happens on your Mac and audio never leaves the device, sending text to a cloud LLM only when you run a Skill. Talat runs transcription on the machine, defaults to built-in local summarisation, and exports Markdown to an Obsidian folder. Fazit transcribes with Parakeet through CoreML and writes the note with a local model on localhost. The difference between them is what happens to the audio: Shadow and Talat store the recording on your Mac, while Fazit holds audio in a RAM ring buffer and never writes it to disk.

Is there a Granola alternative that works offline?

On-device tools transcribe and summarise without sending audio anywhere, so a call needs no network. Model files are downloaded once on first run. Check each tool for whether it also stores the audio locally, which is a separate question from whether it uploads it.