AI Meeting Assistants Compared: Which One Actually Saves You Time

Plans and features checked October 2026. AI meeting tools change their free-tier limits often, so confirm current terms on each vendor’s pricing page before you commit. This is a comparison of published features, not a hands-on accuracy test.

Quick answer: Fathom is the strongest general pick for individuals, because its free plan includes unlimited recording and transcription. Fireflies.ai is a strong alternative if you want deep search across a large archive of past meetings. Otter.ai integrates well with Zoom and Google Meet, but its free plan is capped. tl;dv and Fellow are worth a look if action-item tracking and team follow-up matter more to you than raw transcription.

The AI meeting assistant category has consolidated around a handful of tools that do the same basic thing — join your call, transcribe it, summarize it — but differ in integration depth, search, and how far the free tier stretches in real use.

Comparison at a glance

Fathom — best all-around pick

Fathom’s free plan covers unlimited meeting recordings, transcription and storage, with basic summaries after every call. Its advanced AI features — formatted summary templates, AI-generated action items and heavier “Ask Fathom” questions — are limited to five calls a month on the free plan, after which you get the basic summary until the cycle resets. Setup is quick: it prompts you to start recording rather than requiring configuration. Check Fathom’s pricing page for current terms.

Best for: anyone who wants one meeting assistant that works well out of the box without evaluating five tools first.

Fireflies.ai — best for a searchable meeting archive

Fireflies’ core strength is retrieval — once you’ve built up a library of transcribed meetings, its search makes it easier to find “that thing someone said three weeks ago” without scrubbing through recordings. Matching it to a specific team workflow can take more configuration than Fathom.

Best for: teams or individuals with a high meeting volume who regularly need to reference past conversations.

Otter.ai — best for Zoom and Google Meet-centric teams

Otter is one of the longest-established names in the category, and it joins Zoom and Google Meet calls and produces summaries shortly after they end. The catch is the free plan: 300 transcription minutes a month and a 30-minute cap per conversation, so a single hour-long meeting won’t be fully transcribed without a paid plan. See Otter’s pricing page for current limits.

Best for: teams already standardized on Zoom or Google Meet whose meetings are short, or who are willing to pay.

tl;dv — best for reviewing patterns across many meetings

tl;dv’s multi-meeting reports are its differentiator — instead of summarizing one call at a time, it can pull patterns and highlights across many meetings. That’s useful for recurring client calls or sales conversations where trends matter more than any single transcript.

Best for: roles where the same type of meeting happens repeatedly (sales, customer success, recruiting) and cross-meeting insight matters.

Fellow — best for structured, recurring meetings

Fellow leans into meeting management rather than pure transcription: agendas, action items, and an AI assistant for drafting follow-ups. Its focus on agendas and action-item tracking makes it a better fit than the transcription-first tools when follow-through is the goal.

Best for: teams running recurring one-to-ones or structured meetings where getting action items done is the actual goal, not just having a transcript.

How to choose in under five minutes

• I just want something that works with no setup → Fathom
• I need to search a large archive of past meetings → Fireflies.ai
• My team lives in Zoom or Google Meet and meetings are short → Otter.ai
• I run the same type of meeting repeatedly and want cross-meeting insight → tl;dv
• My priority is action items getting done, not just transcribed → Fellow

Before you roll one out

Whichever tool you pick, run it on a few real meetings and check the output against your own notes. AI summaries can miss who agreed to what, or turn a suggestion into a commitment. Our guides on AI meeting notes accuracy and privacy and verifying AI action items before sharing them cover the checks worth doing. If your team handles client or confidential information, read how to protect sensitive work data first.

Frequently asked questions

Do AI meeting assistants require everyone on the call to consent to recording?

Recording consent laws vary by location, and most of these tools announce their presence or require host permission by default. Check your local requirements and your company’s policy — this is a legal question, not just a product one, so don’t rely solely on a tool’s default settings.

Can I use an AI meeting assistant and an AI note-taking app together?

Yes, and it’s a common pairing. A meeting assistant like Fathom handles call transcription, while a tool like Notion AI or Obsidian (see our AI note-taking apps comparison) becomes the long-term home for the summaries and action items — the “second brain” described in How to Build a Second Brain with AI.

Do these tools work for in-person meetings, not just video calls?

Some do, via a phone app or by uploading a recording rather than joining a video call. Check each tool’s current mobile and in-person recording support, since this varies and changes as products update.

Is the free tier of these tools actually usable, or just a trial?

Fathom’s free plan is ongoing rather than a time-limited trial, with advanced AI features capped monthly. Otter’s free plan is ongoing but limited to 300 minutes a month and 30 minutes per conversation. Other tools’ free tiers are typically usage-limited — check current limits against your meeting volume.

Keep going

• ChatGPT vs Claude vs Gemini for everyday work — pick the assistant that turns meeting notes into drafts.
• A 30-minute weekly AI productivity system — where meeting action items go next.
• AirPods 5 vs AirPods 4 and headset vs desktop microphone — clearer audio gives any transcriber a better input.

Sources

• Fathom pricing
• Otter.ai pricing
• Fireflies.ai pricing
• tl;dv pricing
• Fellow pricing
• FitOnear editorial policy

Part of The AI Productivity Stack series. Next: How to Build a Second Brain with AI.