AI Meeting Tools Compared: Fireflies, Otter, Granola, Fathom, Read.ai
If you're in more than a handful of meetings per week, you've probably tried at least one AI meeting tool. The category has matured significantly in the last two years: transcription quality is now good enough that the differentiators are elsewhere (summary quality, integrations, pricing, how it handles different meeting types).
The five tools I tested most thoroughly for this comparison: Fireflies.ai, Otter.ai, Granola, Fathom, and Read.ai. All tested against the same meetings across a two-month period across Zoom, Google Meet, and in-person voice recordings.
The core job these tools do
Before comparing products, it's worth being clear about what meeting AI actually does, because different products emphasize different parts of the stack.
Transcription is the foundation. Converting audio to text accurately. The baseline quality has improved dramatically since 2022; all five tools tested here produce transcriptions that are 90%+ accurate in typical meeting conditions (clear audio, moderate accent diversity, no heavy technical jargon). The gaps show up in edge cases: heavy accents, cross-talk, low audio quality, dense domain-specific vocabulary.
Speaker identification is labeling who said what. This requires either knowing the voices in advance, having meeting participant data from the calendar invite, or using the meeting platform's speaker data. Quality varies significantly.
Summaries are AI-generated meeting notes. This is where differentiation has become significant. Some tools produce a simple bullet-point summary. Others produce structured documents with action items, decisions, and topic sections. Others let you ask follow-up questions about the meeting content.
Integrations push data where it's useful: CRM updates, task creation in project tools, Slack summaries, calendar-linked note storage.
Fathom
Fathom is the tool most of my network has converged on, and I think they've made the right call. The free plan is genuinely useful (unlimited recording and transcription on Zoom, Google Meet, and Microsoft Teams), which makes it easy to try without commitment.
The core product: a bot joins your meetings, records, transcribes, and produces a structured summary with highlights. You can clip specific moments from the transcript to share with people who weren't in the meeting. The summaries are good: they identify action items, decisions, and key discussion points accurately.
What Fathom does particularly well: the transcript search. You can search across all your past meetings for any phrase or topic. This sounds like a minor feature but it's genuinely useful for "what did we decide about X in Q1?" type questions.
Pricing: Free for individuals (unlimited recording, unlimited storage). Fathom for Teams starts at $19/user/month. The free plan is real, not crippled. It doesn't include CRM integrations or the team features, but for personal note-taking, the free plan does the job.
The main limitation: Fathom requires a meeting bot to join the call. If you're in an organization that doesn't allow external bots in meetings, or if you want to record in-person meetings or phone calls, you'll need a different tool.
Fireflies.ai
Fireflies is the most feature-rich of the five tools tested. It covers the broadest set of integrations (Salesforce, HubSpot, Slack, Notion, Asana, and dozens more), has good mobile support, and handles multiple meeting platforms including some that other tools don't support.
The transcription quality is good, comparable to the others in standard conditions. The summary quality is solid. The AI search feature lets you query across your meeting history in natural language ("show me all the meetings where we discussed pricing changes in the last 90 days").
Fireflies introduced "Fred," an AI agent feature that can join meetings with instructions, ask follow-up questions during the meeting, and take specific types of notes based on a template. In practice, the agent features are more impressive in demos than in daily use, but for teams that need highly structured meeting outputs (sales call summaries in a specific format, interview notes with specific criteria), the template customization is valuable.
Pricing: Free plan (800 minutes of storage, limited transcription). Pro plan at $18/user/month (unlimited transcription, unlimited storage, most integrations). Business plan at $29/user/month (CRM integrations, analytics, AskFred queries).
The main knock on Fireflies: the interface is busy. There's a lot going on and it takes time to find the features you actually want. The mobile app lags behind the web experience.
Otter.ai
Otter is one of the older tools in this category and it shows in both its advantages and limitations. Otter has built genuine technology around speaker identification and real-time transcription that was ahead of the market a few years ago and remains strong.
The product has evolved toward team collaboration. Otter Pilot (their bot) joins meetings, but Otter also has a live transcription experience where attendees can view the transcription in real-time, add highlights, and insert comments during the meeting. For certain types of meetings (workshops, all-hands, training) where participants are actively engaging with the transcript, this live collaborative feature is genuinely differentiated.
Otter has added AI-generated meeting summaries and an OtterPilot feature that automatically joins meetings based on your calendar. The summary quality is decent but not as strong as Fathom or Granola for typical business meetings.
Pricing: Free plan (300 monthly minutes, 3 imports per month). Pro at $16.99/month (1,200 minutes, 10 imports). Business at $30/user/month (6,000 minutes, advanced features).
The free plan's minute limit makes it hard to rely on for heavy meeting schedules. At Pro, the 1,200 minutes is around 20 hours of meetings per month, which covers most individual users.
Granola
Granola takes a different approach from the bot-joins-your-meeting model. Instead of a bot participant, Granola runs locally on your Mac and listens to system audio. It captures the meeting from your computer rather than joining as a participant.
This has real advantages. No bot attendance record in your meeting. Works for in-person meetings, phone calls, and any audio on your computer, not just supported video platforms. No one else knows you're recording (which is either a feature or a privacy concern depending on your perspective; know your legal obligations around recording consent in your jurisdiction).
The summary quality is where Granola stands out. Their AI post-processing produces summaries that feel more like human notes than any other tool in this comparison. The writing is natural, the structure is good, and it surfaces the right things. You can bring your own note outlines (paste in a pre-meeting agenda or template) and Granola will structure its notes around that framework.
Granola is Mac-only as of this writing, which is a real limitation for Windows and cross-platform teams.
Pricing: Free plan (25 meetings/month). Pro at $18/month (unlimited). Business at $14/user/month for teams (minimum 5 seats). The pricing is straightforward and the Pro plan is reasonably priced for individual heavy use.
For Mac users who value summary quality and want something that works without meeting bots, Granola is the standout recommendation.
Read.ai
Read.ai sits in a different tier from the others: it's more expensive, targets teams and enterprises, and adds meeting intelligence features beyond transcription and summaries.
The differentiating features: Read.ai tracks engagement metrics (speaker time distribution, meeting sentiment, topics discussed), generates reports across multiple meetings (team meeting trends, average engagement scores), and integrates deeply with CRM and project management tools. It can generate "meeting reports" that show how much of a meeting was spent on each agenda item, who spoke most, and where the meeting went off track.
For sales teams, Read.ai's call analytics are competitive with dedicated conversation intelligence tools at a lower price point. For managers who want data on how their team's meetings are going, the analytics layer is genuinely useful.
The transcription and summary quality is good, comparable to the other tools. The main differentiation is in the analytics and reporting layer.
Pricing: Free plan (limited). Pro at $19.75/user/month. Enterprise pricing custom. The Pro plan is on the higher end compared to the others, which is only justified if you're actually using the analytics features.
How to choose
For individual users who want free or cheap: Fathom's free plan is the obvious starting point. Covers all major meeting platforms, unlimited recording, good summaries, no real limitations for individual use.
For Mac users who value summary quality: Granola at $18/month. The local recording model and summary quality are the best in class, particularly if you like structured note-taking.
For teams with CRM integration needs: Fireflies at $29/user/month (Business) or Fathom for Teams at $19/user/month, depending on which integrations you need. Fireflies has a broader integration surface; Fathom has a cleaner interface and better per-user pricing.
For live collaborative transcription: Otter when the use case is workshops or training where participants are engaging with the real-time transcript.
For enterprise meeting analytics: Read.ai if you actually need the team metrics and trend reporting, or are running a sales team that needs call analytics without buying full Gong/Chorus.
One thing worth noting: the underlying transcription quality difference between these tools is smaller than marketing would suggest. All five use Whisper (or comparable-quality models) as their transcription foundation. The differentiation is almost entirely in the summarization, UX, and integration layers. Don't choose based on claimed transcription accuracy; choose based on what you do with the transcript after the meeting.
In-person meeting support
One gap that most of these tools share: bot-based tools (Fathom, Fireflies, Otter, Read.ai) require a video call. For in-person meetings, workshops, or phone calls, you need to record audio separately and import it.
Granola's local audio model handles this natively. For the others, you'd need a voice recorder (most smartphones have a built-in voice memo app that produces high-quality audio) and then import the file. All five tools accept audio file imports and produce transcription + summaries from them.
For hybrid teams where some meetings are in-person and some are video calls, having a tool that handles both without workflow friction matters. Granola is currently the cleanest solution for Mac users. For Windows teams or cross-platform situations, Fireflies' import workflow is the most flexible.
For related reading on AI tools for specific meeting types, the AI tools for revenue operations guide covers conversation intelligence tools specifically designed for sales calls. The AI tools for people ops guide covers interview transcription use cases.