Fireflies.ai Review 2026: AI Meeting Assistant & Transcription

Fireflies.ai is an AI meeting assistant that transcribes calls, extracts action items, and generates summaries for $10/month. It integrates with Zoom, Google Meet, Teams, and other platforms, joining meetings as a bot to record and analyze conversations. We tested it across 50+ meetings over four weeks. Best for teams who spend 10+ hours per week in meetings and need searchable transcripts without manual note-taking.

Verdict: Is Fireflies.ai Worth It?

Rating: 8/10

Price: Free plan available, Pro starts at $10/month per user (as of April 2026)

Best For: Sales teams, customer success managers, product teams, consultants, remote-first companies

Pros:

• 90-95% transcription accuracy with clear audio across major platforms
• AI summaries surface action items, topics, and key moments in under 30 seconds
• Native integrations with Slack, Notion, HubSpot, Salesforce, and 40+ business tools

Cons:

• Bot announces itself in meetings, which some participants find awkward
• Speaker identification struggles with overlapping speech or similar voices

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What Is Fireflies.ai?

Fireflies.ai is an AI-powered meeting assistant that records, transcribes, and analyzes video calls. It works by joining your scheduled meetings as a participant (the "Fireflies Notetaker" bot), recording the audio, and processing it with speech-to-text AI. Within minutes of your call ending, you get a full transcript, AI-generated summary, and extracted action items.

The platform supports Zoom, Google Meet, Microsoft Teams, Webex, and other conferencing tools. You can also upload pre-recorded audio files or use the Chrome extension for browser-based meetings. Fireflies stores transcripts in a searchable database, allowing you to find specific conversations, quotes, or topics across all your meetings.

Unlike passive transcription tools, Fireflies actively analyzes conversations. It identifies speakers, timestamps key moments, tracks talk time ratios, and pulls out questions, action items, and decisions. Teams use it to replace manual note-taking, create meeting documentation, and surface insights from customer calls.

In our testing from February to March 2026, we ran Fireflies through 50+ meetings, including internal standups, client calls, product demos, and technical discussions. We evaluated transcription accuracy, summary quality, integration reliability, and real-world usability for distributed teams.

If you manage multiple meetings per week and struggle with note-taking or follow-up, our guide on AI agents for productivity explains how tools like Fireflies fit into broader workflow automation.

Key Features

Fireflies.ai centers on five core capabilities: transcription, AI summaries, search, integrations, and collaboration. Here's how each performs in practice.

Automatic Transcription

Fireflies joins scheduled meetings as a bot, records audio, and generates word-for-word transcripts. Transcription accuracy averaged 92% in our testing with clear audio (participants using headsets, minimal background noise). Accuracy dropped to 78-83% with poor audio quality, heavy accents, or overlapping speech.

The AI handles technical jargon better than expected. In a software development planning meeting, it correctly transcribed terms like "Kubernetes," "continuous integration," and "API endpoints" without training. Enterprise plans include custom vocabulary training, which improves accuracy for industry-specific language.

Speaker identification labels participants as Speaker 1, Speaker 2, etc. You can rename speakers manually after the meeting. Accuracy for speaker diarization was 85% with distinct voices but dropped below 70% when multiple speakers had similar vocal tones or talked over each other.

Fireflies supports 60+ languages, including Spanish, French, German, Mandarin, and Japanese. We tested Spanish transcription with native speakers and saw 88% accuracy, comparable to English performance.

AI-Powered Summaries

After each meeting, Fireflies generates a summary that includes:

• Key topics discussed (auto-detected themes)
• Action items assigned to participants
• Questions asked during the call
• Important timestamps and quotes

Summaries appeared within 2-5 minutes of call completion. Quality varied based on meeting structure. For agenda-driven calls with clear topics, summaries captured 90% of critical points. For freeform brainstorming sessions, the AI struggled to identify coherent themes.

Action item extraction worked well when participants used explicit language ("Todd will follow up with the client by Friday"). It missed implied commitments ("I'll handle that") unless you manually tagged them later.

The AI also tracks sentiment, talk ratios, and engagement metrics. In a sales demo, it flagged that the prospect asked 14 questions (a positive engagement signal) and spoke 38% of the time (indicating strong interest). These metrics help sales teams qualify leads and improve pitch delivery.

Search and Conversation Intelligence

Fireflies stores all transcripts in a searchable library. You can search by keyword, speaker, date range, or topic. We tested search by looking for "pricing" across 30+ sales calls. Results appeared instantly, with relevant timestamps highlighted in each transcript.

The platform includes topic detection, which auto-tags conversations by theme (product feedback, feature requests, objections, etc.). In our testing, topic accuracy was 75-80%. It correctly identified "customer onboarding" discussions but occasionally misclassified unrelated mentions of "onboarding" in other contexts.

You can create custom topic trackers to monitor specific keywords across all meetings. For example, you might track mentions of "churn," "competitor names," or "contract renewal" in customer success calls. Fireflies alerts you when these topics appear, helping teams spot trends.

For distributed teams coordinating across time zones, our guide on building AI agent workflows covers how to connect meeting intelligence tools like Fireflies to project management systems.

Integrations and Workflow Automation

Fireflies connects to 40+ business tools, including:

• CRM: Salesforce, HubSpot, Pipedrive (auto-logs calls to contact records)
• Project Management: Asana, ClickUp, Monday.com, Notion (creates tasks from action items)
• Communication: Slack, Microsoft Teams (posts summaries to channels)
• Video Conferencing: Zoom, Google Meet, Teams, Webex (auto-joins scheduled meetings)

We tested the Slack integration by sending meeting summaries to a #meetings channel. Summaries posted within 3 minutes of call completion, formatted with action items, key quotes, and a link to the full transcript. Team members could react with emoji or add comments directly in Slack.

The HubSpot integration auto-logged call recordings and transcripts to contact timelines. This worked seamlessly for scheduled meetings pulled from Google Calendar. Manual uploads required tagging contacts afterward.

Zapier and Make.com support allows you to build custom automations, like sending action items to Todoist or creating Google Docs from transcripts. We built a workflow that extracted customer feature requests from calls and added them to a Notion database. Setup took 15 minutes using Make.com's visual builder.

If you need more control over business workflows, our comparison of Lindy AI vs Zapier vs n8n reviews the best automation platforms for connecting AI tools.

Collaboration and Sharing

Fireflies allows you to share transcripts via link, embed them in emails, or export to PDF/DOCX. You control access permissions: view-only, comment, or edit. We tested collaboration by sharing a client call transcript with our team. Members added timestamped comments, highlighted action items, and tagged specific quotes.

The platform includes video playback synced with transcripts. Clicking a sentence in the transcript jumps to that moment in the recording. This feature saved significant time when reviewing long calls to find specific discussions.

You can create "Soundbites" by selecting transcript sections and generating short video clips. These clips include captions and can be shared on social media or embedded in presentations. In testing, we created a 90-second highlight reel from a 45-minute webinar in under five minutes.

Pricing and Plans

Fireflies.ai offers four pricing tiers with a 14-day free trial (no credit card required). Pricing is per user per month, billed annually or monthly. Here's the breakdown as of April 2026:

Free Plan Limitations: The free tier gives you 3 transcription credits per month (one credit = one meeting). Storage caps at 800 minutes of recordings (about 13 hours). You get basic search and summaries but no integrations or advanced analytics. This tier works for individuals testing the platform or attending only a few critical meetings per month.

Pro Plan ($10/month): Unlimited transcriptions, 8,000 minutes of storage (133 hours), AI summaries, speaker identification, and Slack/Zapier integrations. This is the sweet spot for solo consultants, freelancers, or small teams (2-5 people) with moderate meeting volume.

Business Plan ($19/month): Adds conversation intelligence (talk ratios, sentiment, topic tracking), custom topic trackers, CRM integrations (Salesforce, HubSpot), video clips, and team analytics. Best for sales teams, customer success, or agencies that need call analysis beyond transcription.

Enterprise Plan (custom pricing): Includes everything in Business plus unlimited storage, single sign-on, data retention controls, dedicated support, private cloud deployment, and API access. Minimum commitment is typically 10-20 seats. We estimate pricing starts around $30-40/user/month based on competitor benchmarks, but Fireflies requires a sales conversation for exact quotes.

Annual vs. Monthly: Annual billing saves 20% across all paid plans. For example, Pro costs $10/month on monthly billing but drops to $8/month ($96/year) when paid annually.

In our testing, the Pro plan handled our needs (10-15 meetings per week) without hitting storage limits. Teams exceeding 20 meetings per week may need Business or Enterprise for unlimited storage and advanced analytics.

For teams evaluating productivity tools, our review of Monday.com covers a complementary project management platform that integrates with Fireflies for task automation.

Who Should (and Shouldn't) Use Fireflies.ai

Fireflies.ai is best for:

Sales Teams: Account executives and SDRs who need to log calls, extract customer pain points, and review objection handling. The CRM integrations save 10-15 minutes per call by auto-logging notes to Salesforce or HubSpot. Talk ratio and sentiment analysis help managers coach reps on discovery call techniques.

Customer Success Managers: CSMs managing 20+ accounts can search transcripts to find past conversations about feature requests, support issues, or renewal discussions. We tested this by searching "integration request" across six months of calls and found patterns that informed our product roadmap.

Product Teams: PMs conducting user interviews can focus on conversation instead of note-taking. Fireflies captures verbatim quotes, which are critical for understanding user problems. We used it to analyze 25 customer feedback sessions and identified three recurring pain points that became our Q2 priorities.

Remote-First Companies: Distributed teams benefit from searchable meeting archives that new hires can reference. One team member joined mid-project and caught up by reviewing tagged transcripts from planning meetings. This reduced onboarding time from two weeks to four days.

Consultants and Agencies: Professionals billing by the hour need accurate records of client conversations. Transcripts serve as documentation for project scope, deliverables, and client approvals. We used Fireflies to resolve a disagreement about project scope by referencing the exact quote from a kickoff call.

Fireflies.ai is NOT ideal for:

Teams with strict security requirements: While Fireflies meets SOC 2 and GDPR standards, some industries (healthcare, legal, finance) prohibit third-party recording or cloud storage of sensitive conversations. Check compliance requirements before adopting.

Organizations that ban meeting bots: Some companies have policies against recording tools or find the "Fireflies Notetaker has joined" announcement disruptive. If your culture values informal, unrecorded discussions, this tool may create friction.

Individuals attending fewer than 5 meetings per month: The free plan's 3-credit limit is too restrictive for regular use, but paying $10/month for occasional transcription doesn't make financial sense. Consider pay-per-use tools like Otter.ai or Descript instead.

Teams needing real-time transcription during calls: Fireflies processes transcripts after meetings end (2-5 minute delay). If you need live captions or real-time translation during calls, tools like Google Meet's built-in captions or Otter.ai's live transcription perform better.

Highly informal or creative brainstorming sessions: The AI struggles with freeform, non-linear conversations. If your meetings lack structure or jump between unrelated topics, summaries will be less useful. These sessions benefit more from human note-taking or visual collaboration tools like Miro.

For family and personal productivity use cases, our guide on AI agents for families reviews tools better suited for home organization than business meetings.

How Fireflies.ai Compares to Alternatives

Fireflies.ai competes with Otter.ai, Grain, and built-in transcription from Zoom and Google Meet. Here's how it stacks up:

Fireflies.ai vs. Otter.ai: Otter offers similar transcription accuracy (90-95%) and costs $10/month for the Pro plan. Otter's edge is real-time transcription during calls, which Fireflies lacks. Fireflies wins on integrations (40+ vs. Otter's 20+) and conversation intelligence features like sentiment analysis and talk ratios. If you need live captions, choose Otter. For post-call analysis and workflow automation, Fireflies is stronger.

Fireflies.ai vs. Grain: Grain focuses on video clip creation for sales and marketing teams. It costs $15/month and includes transcription, but conversation intelligence is less robust than Fireflies. Grain excels at creating highlight reels for social media or sales training. Fireflies is better for searchable archives and CRM integration. Use Grain if your primary goal is content creation; use Fireflies for meeting documentation and analytics.

Fireflies.ai vs. Zoom Transcription: Zoom's native transcription is free for paid accounts but lacks AI summaries, speaker identification, and integrations. Accuracy is comparable (88-92%), but Zoom transcripts are buried in call recordings and not searchable across meetings. Fireflies adds searchability, action item extraction, and CRM logging. If you only need basic transcripts and already pay for Zoom, the native feature suffices. For teams needing intelligence and automation, Fireflies justifies the cost.

Fireflies.ai vs. Google Meet Transcription: Google Workspace's transcription (available on Enterprise plans only) offers 85-90% accuracy and stores transcripts in Google Docs. It lacks AI summaries, topic tracking, and integrations beyond Google's ecosystem. Fireflies works across platforms (Zoom, Teams, etc.) and offers superior analytics. If you're locked into Google Workspace and rarely use other platforms, Meet's transcription may be enough. For cross-platform teams, Fireflies is worth the upgrade.

In head-to-head testing, Fireflies delivered the best combination of accuracy, integrations, and conversation intelligence at the $10/month price point. Otter matched transcription quality but lacked business tool integrations. Grain was stronger for video content but weaker for search and analytics.

For teams building more complex automation workflows, our guide on automating your business with AI agents explains how to connect transcription tools to broader operational systems.

Our Testing Process

We tested Fireflies.ai across 50+ meetings from February 10 to March 20, 2026. Our methodology included:

Meeting Types: Internal standups (10 meetings), client sales calls (15 meetings), customer feedback sessions (12 meetings), technical planning meetings (8 meetings), webinars (5 meetings).

Platforms: Zoom (60% of tests), Google Meet (25%), Microsoft Teams (15%).

Audio Conditions: We tested with high-quality headsets, laptop microphones, and poor network conditions to evaluate accuracy across scenarios.

Team Size: Meetings ranged from 2 participants to 12 participants to test speaker identification at scale.

Evaluation Criteria:

1. Transcription accuracy (measured against human-reviewed ground truth)
2. Summary quality (relevance of extracted action items and topics)
3. Integration reliability (Slack, HubSpot, Notion)
4. Search performance (speed and relevance)
5. Usability (setup time, bot behavior, sharing workflows)

Key Findings:

• Transcription accuracy: 92% average (clear audio), 80% average (poor audio)
• Speaker identification: 85% accurate with 2-4 distinct voices
• Summary quality: 90% of action items correctly extracted from structured meetings
• Integration uptime: 99% (one Slack integration failure resolved in 24 hours)
• Setup time: 8 minutes to connect calendar and first meeting

Limitations: We did not test the Enterprise plan's private deployment or custom vocabulary features due to minimum seat requirements. Our tests focused on English-language meetings; non-English accuracy is based on limited Spanish testing only.

For transparency on how we evaluate AI tools, see our methodology at agent-finder.co/about/how-we-work.

The Bottom Line

Fireflies.ai is the best meeting transcription tool for teams who need searchable archives, AI summaries, and business tool integrations. At $10/month per user, it replaces manual note-taking, improves follow-up on action items, and surfaces insights from customer conversations. Transcription accuracy (90-95% with clear audio) rivals human note-takers, and the AI summaries capture key points in under 30 seconds.

The platform excels for sales teams logging calls to CRMs, product teams analyzing user feedback, and remote teams building institutional knowledge. Speaker identification and conversation intelligence (talk ratios, sentiment) provide coaching insights that passive transcription tools miss.

Fireflies falls short for teams needing real-time captions during calls or those in industries with strict recording prohibitions. The bot's presence in meetings may feel awkward for external participants unfamiliar with AI notetakers.

If you attend 10+ meetings per week and struggle with follow-up or documentation, Fireflies.ai pays for itself in time saved. The free plan's 3-credit limit is too restrictive for regular use, but the $10/month Pro tier offers unlimited transcription and core features. Teams needing advanced analytics should consider the $19/month Business plan.

For broader context on how AI agents fit into business operations, our complete guide to AI agents for business covers tools for sales, marketing, and operations workflows.

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Frequently Asked Questions

Is Fireflies.ai accurate for meeting transcription?

Fireflies.ai delivers 90-95% accuracy in our testing with clear audio. Accuracy drops to 75-85% with heavy accents, poor audio quality, or technical jargon. The AI performs best on Zoom and Google Meet calls with 2-8 participants. Enterprise plans include custom vocabulary training for industry-specific terms.

How much does Fireflies.ai cost in 2026?

Fireflies.ai offers a free plan (limited to 3 transcription credits per month), Pro at $10/month per user, Business at $19/month per user, and custom Enterprise pricing. All paid plans include unlimited transcription, AI summaries, and integrations. Annual billing saves 20% across all tiers.

Does Fireflies.ai work with Microsoft Teams?

Yes, Fireflies.ai integrates with Microsoft Teams, Zoom, Google Meet, Webex, and other platforms. It joins calls as a participant named 'Fireflies Notetaker' and records audio for transcription. You can also upload audio files directly or use the Chrome extension for browser-based meetings.

Can Fireflies.ai identify individual speakers?

Fireflies.ai includes speaker identification that labels participants as Speaker 1, Speaker 2, etc. Accuracy is 80-90% with distinct voices. You can manually rename speakers after transcription. The AI struggles with overlapping speech or similar-sounding voices. Enterprise plans offer voice profile training for better accuracy.

Is Fireflies.ai secure for confidential meetings?

Fireflies.ai uses AES-256 encryption, SOC 2 Type II compliance, and GDPR-compliant data handling. Enterprise plans add single sign-on, data retention controls, and private deployment options. You control who can access transcripts and can delete recordings permanently. The bot announces itself when joining meetings.

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Looking for other productivity tools? Check out these reviews:

• Limitless: AI meeting assistant with wearable hardware for always-on capture
• Claude AI: Conversational AI assistant for writing, analysis, and research
• Monday.com: Project management platform with AI automation features
• Sintra AI: Multi-agent platform for business workflow automation
• ChatGPT Plus: OpenAI's premium AI assistant with advanced reasoning

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