
Granola's whole pitch is that it stays out of your way. No bot joins your call, you keep your own notes next to the AI's in real time, and the interface stays quiet instead of piling on panels and settings. Reviewers back this up on G2. Ease of use and simplified note-taking are the two most-mentioned strengths in Granola's reviews, well ahead of anything else.
But Granola is built for personal note-taking, not as a system of record for a revenue team. It doesn't sync deal data to a CRM on its own, score calls against a coaching rubric, or roll conversation data into a forecast. Its own reviewers point at the same gap from another angle: one mid-market G2 reviewer called integrations with other systems "still in infancy."
There's a second question worth asking about any AI notetaker you're evaluating, botless or not, and it has nothing to do with features. What does it do with recording consent and participant notification? That's the subject of the next section, before we get into the alternatives themselves.
This guide covers four of the best Granola AI alternatives for meeting notes and note-taking: Avoma, Otter.ai, Fathom, and Fireflies. What each does well, where it falls short, and which teams it fits.
Granola never joins a call as a visible participant. It captures audio directly from a user's device, transcribes in real time, and deletes the audio afterward. Otter and Fathom now offer a similar bot-free option, while Fireflies still joins as a visible bot by default.
Neither approach changes what the law requires. Recording-consent and wiretapping statutes turn on whether a conversation was recorded and disclosed to participants, not on whether a bot icon shows up on the call. Chamberlain v. Granola is already testing that theory. It alleges Granola recorded a plaintiff's Microsoft Teams and Zoom conversations without her consent, even though she never used the tool herself, because another meeting participant was running it. The allegations are unproven. This section covers the core rule only; a closer look at consent and notification obligations across AI notetakers is coming in a dedicated piece.
For any notetaker you evaluate, bot-based or botless, check whether it notifies every participant before recording starts, lets you opt out of AI-model training on your data, carries a verifiable compliance certification like SOC 2 or GDPR readiness, and gives IT or admin organization-wide control over these settings.
Avoma is a privacy-first AI notetaker built for customer-facing revenue teams. It records and transcribes meetings, generates AI notes and summaries, and adds coaching and forecasting as add-on modules on top of the same platform, one contract instead of three tools.
Avoma is a privacy-focused AI notetaker, and the same questions apply to it. Avoma holds SOC 2 Type II certification, encrypts recordings and transcripts at rest and in transit, and it aims for "unambiguous consent for all your calls and meetings." Its Enterprise plan adds SSO, HIPAA compliance, and admin-level access controls. Its GDPR approach is focused on consent notifications and data access and deletion controls.
Avoma goes past note-taking into CRM sync, coaching, and forecasting, none of which Granola offers. The cost of that depth: Avoma's entry plan starts at $19 a seat a month billed annually, and coaching or forecasting each add $29 a seat on top. Granola's only paid tier is a flat $14 a seat with no add-on structure to think through.
Both generate AI notes and summaries automatically, support multi-language transcription, and let users chat with an AI over their own meeting history.
Sourced from G2 reviews:
Avoma fits teams that have outgrown personal note-taking and need a privacy-conscious way to turn meeting data into CRM insights, coaching, and forecasting.
Otter calls itself, on its own homepage, "your AI notetaker" and now "also your conversational knowledge engine." It transcribes meetings in real time, generates summaries and action items, and layers an AI chat interface on top of a searchable archive of past conversations.
Otter prices its entry paid tier lower and meters usage by minutes and AI chat queries. Granola charges more per seat but doesn't cap conversations the same way. Otter also names a formal HIPAA add-on at Enterprise; Granola doesn't state HIPAA compliance anywhere in its public materials.
Both offer a genuine bot-free desktop capture option, both support CRM integrations at a paid tier, and both are built around staying present in a call instead of typing through it.
Sourced from G2 reviews:
Otter fits individuals and small teams who want the lowest-cost bot-free option and are fine with usage caps, without needing revenue-specific workflows like deal tracking or coaching.
Fathom's own homepage pitch is "never take notes again." It records and transcribes calls across Zoom, Google Meet, and Teams, and has recently added a bot-free capture option alongside its original bot-based flow.
Fathom bundles coaching and CRM depth into one paid tier once a team needs them. Granola doesn't offer coaching at all, and syncs to a CRM only through a third-party integration. Fathom's free tier is also the most generous of the three alternatives on raw usage, no minute cap on recordings, though its more useful team features sit behind Business-tier pricing. One recurring con in its own G2 reviews: the notetaker still needs the meeting host to admit it, and a missed admission means no recording.
Both now offer a real bot-free capture option, both generate an instant post-call summary, and both rely on third-party integrations (Notion, Slack, HubSpot) for the workflows they don't build natively.
Sourced from G2 reviews:
Fathom fits teams that want coaching and CRM sync bundled into one tier rather than billed as an add-on, and that are comfortable with a host having to approve the notetaker joining each call.
Fireflies calls itself, on its own site, "the #1 AI assistant for your meetings." It's built around an AI notetaker bot that joins a call, transcribes it, and makes the transcript searchable across a team's full meeting history.
Fireflies is bot-first by default, where Granola never joins as a visible participant at all. Fireflies also goes further into conversation analytics, talk-time, sentiment, topic tracking, than Granola attempts to.
Both offer AI chat or search over past meetings, both support multi-language transcription, and both price a usable free tier before a per-seat paid plan kicks in.
Sourced from G2 reviews:
Fireflies' own reviewers name two recurring complaints worth repeating here: pricing and AI-credit structure, and non-English transcription accuracy.
Fireflies fits teams that want a searchable archive across a large volume of recorded meetings and don't mind a visible bot joining each call.
Avoma is the right Granola alternative if you've outgrown personal note-taking and need calls to feed a CRM, a coaching program, and a forecast in one platform instead of three. It's also worth considering if meeting security and recording consent matter to your team. Avoma holds SOC 2 Type II certification, encrypts meeting recordings and transcripts in transit and at rest, and provides configurable recording-consent notices.
It's not the right fit if all you want is clean personal meeting notes with nothing attached to a revenue process. Granola or Otter cost less and do that job well.
Three things worth checking against your own team before you switch:
If that sounds like your workflow, start a 14-day free trial of Avoma to test it with your own meetings, or book a demo to see how CRM automation, coaching, forecasting, and security controls fit your team's requirements.
The strongest Granola AI alternatives are Avoma, Otter.ai, Fathom, and Fireflies. Avoma adds native CRM sync, AI call coaching, and revenue forecasting on top of note-taking. Otter and Fathom both offer a bot-free desktop capture option similar to Granola's. Fireflies joins meetings as a visible bot by default and adds deeper conversation analytics. Each fits a different need, from personal note-taking to a full revenue-team workflow, covered in detail throughout this guide.
No. Recording-consent and notification obligations are triggered by whether a conversation is recorded or transcribed and disclosed to participants, not by whether a bot visibly joins the call. A botless tool that captures audio directly from a device sits under the same wiretapping and privacy statutes as a bot-based one. Check a vendor's consent and notification features regardless of how it captures audio.
Only capture is local. Granola's desktop app records computer audio directly with no bot joining the call, but the transcription and summarization run in the cloud through third-party AI providers, not on the user's device. Buyers handling sensitive data should confirm this distinction directly with Granola rather than assume bot-free capture means the AI processing itself stays local.
It depends on the tool and the plan. Granola deletes the raw audio file after transcribing it, according to its own documentation, but doesn't publish a fixed deletion timeline for the transcript itself. Avoma retains recordings, transcripts, and notes for as long as a subscription is active by default, and admins can set a custom org-wide policy to delete data sooner. Otter, Fathom, and Fireflies each offer a similar custom retention policy, but gate it behind their Enterprise plan and require contacting the vendor directly to configure it. Outside of these custom policies, none of the four state a default deletion timeline for stored data.
Partially. Avoma's desktop and mobile app captures in-person meetings without a bot, syncing the recording automatically afterward. For virtual meetings on Zoom, Teams, or Google Meet, Avoma joins as a bot by default.
Avoma and Fathom go furthest here. Avoma pairs native 2-way CRM auto-save with add-on coaching and revenue intelligence modules. Fathom bundles CRM field sync and coaching metrics into its Business tier. Otter and Fireflies lean more toward transcription, search, and general productivity than revenue-specific workflows like deal tracking or call scoring.
That depends on your organization's policies, not on which tool you pick. Every AI notetaker covered here, bot-based or botless, processes conversation audio and, by default in several cases, can use it to train third-party AI models unless a user or admin opts out. Checking with IT or legal before enabling one across a team, especially for calls involving customer data, is a reasonable default rather than an extra hurdle.


