Is Granola better than Otter AI?

For meetings where a visible bot is awkward, yes, because Granola captures audio from your computer instead of dialling a participant into the call. Granola also states it does not store meeting audio, only transcripts and notes. Otter is stronger for team-wide search, collaboration and languages beyond English. They are optimised for different problems rather than one being better.

Is Otter AI trustworthy?

Otter holds a SOC 2 Type 2 report, encrypts with AES-256 and publishes detailed security documentation, so its practices are well documented. It is also defending a federal class action over whether its notetaker recorded participants without adequate consent, in which several wiretap and biometric privacy claims survived a motion to dismiss in August 2026. Those are allegations, not findings of liability.

Is there something better than Otter AI?

Depends on the requirement. Granola if you want the same cloud capability without a bot in the participant list. Fireflies if you need CRM integrations and enterprise controls. A local tool if the constraint is that meeting content must not sit on a third party's servers at all. Otter remains among the strongest options for shared team transcription.

Is Otter AI better than Read AI?

Both are bot-based cloud notetakers with broadly similar architecture, so the choice usually comes down to meeting analytics and integrations rather than a privacy difference. If your reason for comparing them is privacy, neither changes the underlying model, because both upload and retain your meeting content.

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Comparison
Granola
Otter

Granola AI vs Otter: the difference is architecture, not features

Otter sends a bot and stores your recordings. Granola AI captures on your device and stores transcripts but not audio. Both process in the cloud. A sourced comparison of what each one actually does with your meetings.

Ben Claybrook 16 September 2026 5 min read

These two get compared constantly, and most comparisons line up features: transcription accuracy, integrations, pricing, summary quality. Those matter, but they miss the thing that actually separates them.

Otter and Granola AI have different architectures, and the architecture determines what is possible rather than what is promised.

Everything below is sourced from each vendor’s published documentation, checked 5 September 2026.

The one-paragraph version

Otter sends a bot into your meeting, uploads the audio, and stores the recording and transcript on its servers until you delete them.

Granola AI captures audio on your own computer with no bot, sends it out to third-party providers to be transcribed and summarised, and stores the resulting transcript and notes while stating it does not store the audio.

Both process your meeting content in the cloud. The difference is what enters the room, and how much of the content persists afterwards.

Side by side

	Otter	Granola AI
Bot in participant list	Yes, Otter Notetaker joins	No, captures device audio
Audio stored	Yes, in AWS S3 until deleted	No, states it does not store meeting audio
Transcript stored	Yes	Yes, US-hosted AWS VPC
Third-party processors	Its own models	Deepgram, AssemblyAI, OpenAI, Anthropic
Trains on your data	Yes, after de-identification	Yes, anonymised, opt-out available
Certification	SOC 2 Type 2	SOC 2 Type 2
Encryption	AES-256, AWS SSE	Encrypted at rest and in transit
Deletion	Trash empties after 30 days	Notes private by default
Price	$16.99/mo, $8.33/mo annual	Free Basic; Business $14/user/mo; Enterprise $35/user/mo (re-checked 16 September 2026)

Pricing verified September 2026. Check current pricing before deciding.

Where Granola AI is clearly ahead

No bot. This is the reason most people switch. Nothing appears in the participant list, so clients do not ask what it is and candidates do not tense up. If you have ever had a call go sideways the moment a notetaker joined, this alone justifies the comparison.

No audio retention. Granola states plainly that it “doesn’t store the audio from meetings.” Otter keeps recordings in S3 until you delete them, and deleted items sit in a Trash for 30 days before going. A stored recording is a richer and more sensitive artefact than a transcript: it carries tone, hesitation, and everyone’s voice. Not keeping it is a meaningful reduction in exposure.

Where Otter is clearly ahead

Team capability. Shared workspaces, organisation-wide search across every meeting, collaborative editing, speaker identification that improves over time. If ten people need to search what was said six months ago, Otter is built for that and Granola is not.

Languages and hard audio. Otter runs large models on server hardware, so it handles heavy accents, poor microphones and multiple languages better than anything constrained to a laptop.

Visible notice. This one is counterintuitive. A bot everybody can see is a worse experience and a better consent posture. Silent device capture means the other participants may have no idea a recording is happening unless you tell them, and in an all-party consent state you are required to.

The training difference

Both train on your content, and the wording differs in a way worth reading.

Otter says it uses “a proprietary method to de-identify user data before training our models,” and separately that “no customer data will be used to train or improve our AI Service Provider(s).” So Otter trains its own models on de-identified customer data.

Granola says “Granola trains on your anonymized data” with an opt-out available, and that enterprise accounts have training off by default. It also states it does not allow OpenAI or Anthropic to train on your data.

Neither is hiding this. But if you are an individual user, both default to training on your conversations, and only Granola gives you a documented opt-out. Worth finding if you use it.

The Otter litigation

Otter is defending a federal class action, consolidated as In re Otter.AI Privacy Litigation, No. 5:25-cv-06911-EKL in the Northern District of California. On 13 August 2026 the court allowed federal Wiretap Act, California Invasion of Privacy Act section 631, and Illinois biometric voiceprint claims to proceed to discovery.

Judge Eumi K. Lee held that plaintiffs “plausibly allege that Otter independently collects, retains, and uses communications for its own commercial purposes.”

Surviving a motion to dismiss is not a finding of liability. The allegations are unresolved and Otter denies wrongdoing. But the theory is what makes it relevant to this comparison: the claim is that the vendor was a party to the conversation in its own right, not just a tool the host chose. That theory applies to any notetaker that uploads and processes meeting content, which includes Granola. More detail in is Otter.ai safe.

How to choose

Choose Otter if you need team-wide transcription and search, work across languages, or deal with difficult audio, and your meetings are not especially sensitive.

Choose Granola AI if you want most of the cloud capability without a bot in the room, and you are comfortable with transcripts living in Granola’s cloud and being processed by Deepgram, AssemblyAI, OpenAI and Anthropic along the way.

Choose neither if the content itself is the risk. Both architectures put your meeting text on a third party’s servers, and no amount of encryption changes that a copy exists somewhere you do not control.

That last case is what we build for. Private Notetaker captures, transcribes and summarises entirely on your machine, with no bot and no upload, for a one-time $149 licence or $15 a month. The trade is real: English only, no team features, no shared search, and worse accuracy than either of these on noisy audio. If you need what Otter does well, buy Otter.

Fuller comparisons: vs Otter and vs Granola AI.

All claims quoted from each vendor’s published documentation, checked 5 September 2026, and from public filings in In re Otter.AI Privacy Litigation. Vendor policies change.

Frequently asked questions

Is Granola better than Otter AI?: For meetings where a visible bot is awkward, yes, because Granola captures audio from your computer instead of dialling a participant into the call. Granola also states it does not store meeting audio, only transcripts and notes. Otter is stronger for team-wide search, collaboration and languages beyond English. They are optimised for different problems rather than one being better.
Is Otter AI trustworthy?: Otter holds a SOC 2 Type 2 report, encrypts with AES-256 and publishes detailed security documentation, so its practices are well documented. It is also defending a federal class action over whether its notetaker recorded participants without adequate consent, in which several wiretap and biometric privacy claims survived a motion to dismiss in August 2026. Those are allegations, not findings of liability.
Is there something better than Otter AI?: Depends on the requirement. Granola if you want the same cloud capability without a bot in the participant list. Fireflies if you need CRM integrations and enterprise controls. A local tool if the constraint is that meeting content must not sit on a third party's servers at all. Otter remains among the strongest options for shared team transcription.
Is Otter AI better than Read AI?: Both are bot-based cloud notetakers with broadly similar architecture, so the choice usually comes down to meeting analytics and integrations rather than a privacy difference. If your reason for comparing them is privacy, neither changes the underlying model, because both upload and retain your meeting content.