The AI meeting assistant category has gotten crowded. Maybe forty serious vendors now, ranging from $0 free tiers to enterprise platforms charging $40 per user per month. I tested five of the most-recommended ones across 47 meetings over six weeks—sales calls, internal standups, client workshops, a couple of board meetings. Here’s what actually worked.

The Lineup

I picked these five based on either widespread adoption or strong differentiation: Fireflies.ai, Otter.ai, Granola, Fathom, and tl;dv. I had paid subscriptions to all of them and ran them simultaneously where possible, which is the only fair way to test transcription and summary quality.

A few I considered but didn’t include: Read.ai (good product, but felt more like analytics than note-taking), Krisp’s AI Meeting Notes (decent but less mature), and Microsoft’s built-in Copilot for Teams meetings (couldn’t be tested fairly because it doesn’t work outside Teams).

Transcription Accuracy

This is the foundation. If the transcription is bad, everything downstream is bad. I measured by manually reviewing transcripts from five sample meetings and counting substantive errors—words wrong in ways that change meaning, not minor word swaps.

Fathom came out top here, with roughly 2-3 substantive errors per 30-minute meeting on average. Granola was close behind. Otter and Fireflies were in a similar range, around 5-7 errors per 30 minutes. tl;dv lagged, with 8-12 errors that included some genuinely problematic ones like swapping product names.

Australian and non-American accents matter for this comparison. Fathom and Granola handled my Melbourne-based team noticeably better than tl;dv did. If you’re in Australia, this is worth paying attention to—the global benchmarks for these products are usually run against American English.

Summary Quality

This is where the products diverge dramatically. Transcription is increasingly a solved problem; turning transcripts into useful summaries is not.

Granola produced the most consistently useful summaries. It’s structured around the idea that you take your own brief notes during the meeting and Granola enhances them with context from the transcript. This hybrid approach produces summaries that reflect what you actually cared about, not what the AI thought was important.

Fathom’s summaries were impressive in a different way—they’re highly structured by default (action items, decisions, key topics) and the structure is rarely wrong. For sales calls and structured business meetings, this is exactly what you want.

Fireflies has been around longer than the others and it shows in some good ways and some bad. The summary feature works reliably but has a tendency toward generic phrasing that loses the specificity of the actual conversation. I’d describe Fireflies summaries as “what the meeting was probably about” rather than “what the meeting actually decided.”

Otter’s summaries felt the most AI-generated in a bad way. They captured roughly the right topics but missed context that humans listening would have caught. Action items were sometimes invented or attributed to the wrong person.

tl;dv’s summaries had the most variance—occasionally excellent, occasionally completely off. Hard to recommend on consistency grounds.

Integration With Your Actual Workflow

Notes that live in the meeting tool aren’t useful. They need to get into the systems you actually work in.

Fireflies has the broadest integration set—CRMs, project management tools, Slack, email, and a respectable API. If your workflow is built around Salesforce or HubSpot, this matters a lot.

Fathom integrates well with the obvious places but is somewhat opinionated about the workflow. If your process matches their assumptions, it’s smooth. If it doesn’t, you’ll fight it.

Granola’s integration story is improving but more limited than the competition. It works well within its ecosystem but isn’t yet a great drop-in for complex enterprise stacks.

Otter has the integration breadth of Fireflies but the implementations feel less polished. Several of their CRM integrations had quirks during my testing that required workarounds.

tl;dv’s integrations are functional but not differentiating.

Pricing Reality

Headline pricing for these products is misleading. The free tiers usually have meeting limits that aren’t useful for any actual work pattern. The paid tiers are where you live.

Granola sits at around $18 per user per month for the Business tier as of mid-2026. Fathom’s paid tier is $29 per month for individual users with team tiers higher. Fireflies’ Business plan is $19 per user. Otter’s Business plan is $30 per user. tl;dv’s Pro tier is $25 per user.

The pricing gap between the cheapest and most expensive is meaningful at any team scale. For a 20-person team, you’re looking at roughly $4,300 versus $7,200 per year between Granola and Otter’s mid-tier offerings. The functional differences don’t justify a 70% price premium in either direction.

Privacy and Data Handling

This is where I’d be more careful than most reviews are.

Fathom’s data practices are clearly documented and they offer enterprise-grade controls. Granola similarly has been thoughtful about data handling, with reasonable defaults.

Otter’s terms have raised eyebrows historically and I’d recommend reading them carefully if you’re in a regulated industry. The terms have improved over time but I still think they fall behind the leaders here.

Fireflies sits somewhere in the middle. Their enterprise tier has better controls but the default tier permits more data usage than I’d want for client confidential conversations.

tl;dv’s documentation is decent but I had less confidence in their data handling than the others, partly because of less publicly available enterprise customer evidence.

For sensitive meetings, the right answer is probably none of these consumer-grade tools and instead something like Microsoft’s Teams premium offering with built-in transcription, which keeps the data within your existing Microsoft tenancy.

My Picks

For most people, I’d recommend Granola. The note-taking interaction model produces better outputs than the alternatives, the price is reasonable, and the data handling is appropriate for most business contexts.

For sales-heavy teams that live in a CRM, Fathom is a stronger pick because of the structured output and CRM integration quality.

For broad enterprise rollout where integrations matter most, Fireflies remains a credible choice despite the summary quality compromises.

Otter and tl;dv I’d skip in 2026. Both were category leaders at various points; neither is anymore. The first-mover advantages have eroded as the newer products have built more thoughtful experiences.

We’ve been using Granola across the team for about four months now, after a brief evaluation period that included input from Team400.ai on the data residency implications of various options. The decision has held up well in practice—people actually use the tool, which is the highest bar any productivity software has to clear.