AI Meeting Assistants Software

Otter.ai vs Fireflies.ai vs Fathom vs tl;dv: Which AI Meeting Assistant Fits Your Team?

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SaaSPodium Editorial TeamUpdated:
Otter.ai vs Fireflies.ai vs Fathom vs tl;dv: Which AI Meeting Assistant Fits Your Team? - SaaSPodium

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Otter.ai, Fireflies.ai, Fathom and tl;dv are four AI meeting assistants that record, transcribe and summarize calls. All four offer free plans, with paid tiers from $10 for Otter.ai and Fireflies.ai up to $20 for tl;dv. Choose by meeting platform, team size and how your company handles recorded conversations.

An AI meeting assistant joins or captures a video call, produces a transcript and turns it into notes, action items and searchable highlights. For teams that spend hours in calls, it replaces manual note taking and makes decisions easier to find later.

The trade-off is privacy. Recording and processing conversations is regulated, so buyers should review the GDPR and the risk guidance in the NIST AI Risk Management Framework before rolling any tool out. This comparison draws on the SaaSPodium AI Meeting Assistants Software category and looks at four popular options. For the meeting platforms themselves, see our internal communication software comparison.

ToolPlan typeStarting priceTarget teamsVendor positioning
Otter.aiFreemium$10Small, medium, enterpriseRecords, transcribes, captures slides, summarizes
Fireflies.aiFreemium$10Small, medium, enterpriseAutomates meeting notes
FathomFreemium$15Small, mediumThe free AI meeting assistant
tl;dvFreemium$20Small, mediumAI meeting recorder for Zoom and Google Meet

Overview: Four Meeting Assistants Compared

All four tools use a freemium model, so you can test them before paying. Otter.ai and Fireflies.ai are the only two listed for small, medium and enterprise teams, while Fathom and tl;dv are listed for small and medium teams.

Six other assistants sit in the same category: Sembly AI, MeetGeek, Supernormal, Read AI, Fellow and Avoma. Avoma stands out for pairing meeting notes with conversation intelligence.

Features and Meeting Platform Support

The core feature set is the same across the category: recording, transcription, summaries and search. Differences appear in platform coverage, slide capture, integrations and how summaries are structured, so check support for your video platform first.

  • Otter.ai: captures slides in addition to audio and generates summaries.
  • Fireflies.ai: built to automate notes across meetings.
  • Fathom: positioned as a free assistant, so test its free tier limits.
  • tl;dv: built for Zoom and Google Meet recordings.

Pricing Compared

Starting prices on SaaSPodium are $10 for Otter.ai and Fireflies.ai, $15 for Fathom and $20 for tl;dv. Figures are as of October 2026 and are starting prices, so check current limits on transcription minutes, storage and seats before you budget.

To compare plans fairly, work out the monthly cost per active user, since many teams buy seats they rarely use.

Cost per active user = Monthly plan cost ÷ Number of users who attend recorded meetings

If only half of your licensed users record meetings, your real cost per user is double the list price, which makes a smaller plan or a free tier more attractive.

Integrations and Architecture

Meeting assistants usually work in one of two ways: a bot that joins the call as a participant, or a recorder that runs on the user's device. Bots are simple to deploy but visible to everyone, while device recorders avoid a visible bot but need local installation.

Check calendar integration, CRM sync, chat tool delivery and API access. If you use a CRM such as HubSpot Marketing Hub for follow-up, confirm that summaries and action items can flow there without manual copying.

Privacy and Security Checks

Recorded meetings contain personal data, trade secrets and sometimes regulated information, so security review should come before a team-wide rollout. Ask where recordings are stored, who can access them and how long they are retained.

  • Get written confirmation of data location and retention settings.
  • Ask whether meeting content is used to train AI models.
  • Require single sign-on and role-based sharing for enterprise use.
  • Notify participants and obtain consent where law requires it.
  • Disable the assistant for sensitive meetings such as HR and legal.

Pros and Cons

Each assistant has a clear angle, and the right pick depends on whether you value coverage, price or simplicity. These notes use only SaaSPodium listing data and vendor positioning.

  • Otter.ai: pro, listed for all team sizes and captures slides; con, the free tier is limited so test it.
  • Fireflies.ai: pro, listed for all team sizes at $10; con, bot-based capture is visible to attendees.
  • Fathom: pro, free-first positioning; con, listed for small and medium teams only.
  • tl;dv: pro, strong Zoom and Google Meet focus; con, highest starting price of the four at $20.

Who Should Choose Which

Pick Otter.ai or Fireflies.ai if you need an option that scales to enterprise. Pick Fathom if you want to start free, and tl;dv if your meetings run mostly on Zoom or Google Meet. Pilot two tools with one team for two weeks before buying licenses.

How to Run a Two-Week Pilot

A short pilot with a real team shows accuracy, summary quality and adoption better than any feature list. Pick a team with frequent external calls and measure how much time they save.

  • Choose two tools and one pilot team of 5 to 10 people.
  • Record the same types of meetings with both tools.
  • Score transcript accuracy, summary usefulness and action item quality.
  • Track minutes saved per person per week.
  • Collect privacy objections from participants and clients.

Verdict

For most small and medium teams, start with a free tier of Fathom, Otter.ai or Fireflies.ai and upgrade only if usage proves the value. Enterprises should shortlist Otter.ai and Fireflies.ai, then run a security review. Browse the full AI meeting assistants category for more options.

Questions to Ask Before You Sign

Feature pages look alike, so written answers to the same questions are the best way to separate vendors. Send this list to each shortlisted provider and keep the replies for your security and procurement review.

  • Where are recordings and transcripts stored, and can we choose a region?
  • Is customer meeting content used to train AI models, and can we opt out?
  • Which languages are supported for transcription and summaries?
  • Can admins set retention periods and delete data on request?
  • Does the plan include single sign-on, audit logs and an API?
  • What are the limits on transcription minutes and storage per plan?

Common Use Cases

Meeting assistants pay off where conversations drive revenue or compliance. Match the tool to the use case, because sales teams, product teams and consultants value different outputs from the same transcript.

  • Sales calls: summaries, objections and follow-up tasks pushed to the CRM.
  • Product and engineering: decision logs and action items from planning meetings.
  • Client services: searchable records of what was agreed with customers.
  • Remote teams: asynchronous catch-up for people in other time zones.

Teams that need deeper conversation analysis, such as coaching and deal tracking, should evaluate Avoma and Read AI alongside the four tools above.

Frequently Asked Questions

How much do AI meeting assistants cost?
On SaaSPodium, Otter.ai and Fireflies.ai start at $10, Fathom at $15 and tl;dv at $20, and all four offer a free plan. Paid tiers differ on transcription minutes, storage and seats, so compare limits against your meeting volume.

Is it legal to use an AI note taker on client calls?
It depends on your location and the participants. Many jurisdictions require consent from everyone on the call, and the GDPR adds rules on processing personal data. Tell participants before recording, and ask legal counsel to approve your policy.

How long does it take to roll out an AI meeting assistant?
A single team can start within a day by connecting a calendar. A company-wide rollout with single sign-on, retention rules and a privacy review usually takes several weeks, so plan a pilot first and write usage guidelines for staff.

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