Fireflies.ai Review 2026: Solid Notes, Data-Export Catch

Fireflies.ai is an AI meeting assistant that joins calls on Zoom, Google Meet, Microsoft Teams, and Webex to record, transcribe, and summarize conversations automatically. Its personality-driven assistant, Fred, powers a conversational search feature called AskFred, which lets you ask questions about past meetings in plain language instead of scrolling through transcripts. Beyond note-taking, Fireflies functions as a broader ai meeting tool for teams, offering speaker attribution, automated action items, and daily or weekly digests that summarize activity across multiple calls. It also connects to CRMs and productivity apps like Salesforce, HubSpot, Slack, Trello, and Asana, which makes it useful for sales and customer success teams who want meeting data flowing directly into their existing workflows. With over 300,000 users and a long track record in the category, it's considered one of the more established names in AI notetaking, though newer competitors have started challenging it on pricing and data-access policies.

Yes, Fireflies.ai has a genuinely usable free tier that includes unlimited transcription, unlimited AI summaries, real-time notes, meeting search, and access to the AskFred assistant — features that go well beyond a typical trial. However, the free plan caps storage at 400 minutes per team and limits you to 20 AI credits, which can feel restrictive for teams recording meetings daily. The more important catch is that downloading your own transcripts, summaries, or recordings requires upgrading to the $10/seat/month Pro plan, so the free tier works fine for real-time use but isn't built for archiving or exporting historical meeting data long-term. If you only need live notes and searchable history inside the platform, free may suffice; if you'll ever want that data offline, budgeting for Pro from day one avoids an unpleasant surprise later.

Based on aggregate reviews, Fireflies.ai edges out Otter with a stronger G2 rating (around 4.7 versus Otter's typical scores), and reviewers specifically call out more reliable speaker attribution as a differentiator — a common weak point for competitors that struggle distinguishing similar voices. Fireflies also offers a broader native integration catalog spanning HubSpot, Salesforce, Trello, and Asana, plus sales-focused features like conversation intelligence at the Business tier, which gives it an edge for revenue teams specifically. That said, Fireflies' practice of gating transcript and recording downloads behind a paid plan is a meaningful consideration Otter users should weigh, since export restrictions on your own data aren't universal across this category. For pure transcription accuracy and integration depth, Fireflies generally comes out ahead in reviews, but the free-tier data-access limitation means the better choice partly depends on whether you're prepared to pay from the start.

For teams already planning to pay for a notetaking tool, yes — Pro at $10/seat/month (annual billing) is reasonably priced and immediately resolves the free tier's biggest limitation: the inability to export your own transcripts, summaries, and recordings. Once you're on a paid plan, you get video recording, unlimited integrations, a personal assistant, and the newer AI Skills and Voice Agents features, which extend Fireflies past basic note-taking. It's a particularly strong value fit for sales and customer success teams who want conversation intelligence and analytics on top of solid core transcription, especially if you're already using tools like Salesforce or HubSpot that Fireflies integrates with natively. Where it's less worth it is for anyone hoping to rely on the free plan indefinitely for anything beyond short-term, disposable notes — the export gating makes that a risky long-term bet, and it's worth comparing directly against Fathom's less restrictive free tier before committing.

The most directly comparable alternative is Fathom, which we've reviewed separately and which currently holds a stronger aggregate review score along with a genuinely unlimited free tier that doesn't gate exporting your own recordings behind a paywall — a meaningful difference if you plan to stay on a free plan long-term. Otter.ai is another common comparison point, though it sits behind Fireflies on aggregate G2 ratings. Beyond direct notetaking competitors, teams evaluating AI meeting tools more broadly often also look at Avoma and Gong, which compete on the same conversation-intelligence and analytics layer Fireflies offers at its Business tier. Which alternative makes sense really depends on what you're optimizing for: if bot-free, less intrusive capture matters most, Fathom's approach is the more direct response to that concern. If you're already deep into Salesforce or HubSpot workflows and want the widest integration catalog, Fireflies remains a reasonable default despite its export restriction on the free plan.

Yes — Fireflies.ai is built to record, transcribe, and summarize meetings across all of the major video conferencing platforms, including Zoom, Google Meet, Microsoft Teams, and Webex. This cross-platform coverage is a big part of why it's positioned as a general-purpose meeting assistant rather than a tool locked to a single ecosystem, which matters for organizations where different teams or clients standardize on different conferencing software. In practice, this means a sales team using Zoom for external calls and an internal team relying on Teams can both use the same Fireflies workspace without needing separate tools. Combined with its integration catalog spanning CRM and project management platforms like Salesforce, HubSpot, Trello, and Asana, this cross-platform support is one of the more practically useful aspects of the product for mixed-tool organizations, and it's consistent across all pricing tiers, not just the paid plans.

Independent reviewers consistently single out Fireflies' speaker attribution as a genuine strength relative to competitors, several of whom reportedly struggle to reliably tell different voices apart in a recording. That said, the accuracy isn't purely a function of voice-differentiation technology — it reportedly performs best when participants verbally identify themselves at some point during the call (for example, stating their name when speaking), rather than relying entirely on the AI to distinguish voices acoustically. For teams running calls with unfamiliar or rotating participants, this is a practical nuance worth knowing: the more a meeting includes natural verbal identification, the more reliable the resulting transcript's speaker labels tend to be. This matters most for sales and customer-facing teams reviewing transcripts later for coaching or follow-up, where correctly knowing who said what shapes the entire usefulness of the summary.

Beyond the export-restriction complaint covered above, Fireflies faces a privacy perception problem tied specifically to how visible its meeting bot is when it joins a call. A widely upvoted Reddit thread describes a job candidate declining to proceed with interviews specifically because Fireflies would be recording the conversation — reflecting a broader discomfort some participants feel when a third-party bot visibly joins and records a call, independent of what the transcripts are actually used for afterward. This isn't unique to Fireflies; it's a concern shared across the entire AI notetaking category, and it's part of why some competitors have started building bot-free capture methods as a direct response. For teams considering Fireflies, this means thinking through how you'll communicate recording to external participants, particularly in sensitive contexts like interviews, legal discussions, or first client calls, where an unexpected recording bot can create friction regardless of the tool's actual data practices.