Comparisons

Otter.ai vs Fireflies: Meeting Transcription Compared (2026)

Otter.ai and Fireflies are the two names that come up in almost every conversation about AI meeting notes. Both join your calls, transcribe them, and hand you a summary — but they feel different in daily use, and the right choice depends on whether your priority is a polished live meeting experience or a searchable, automation-friendly archive of every conversation your team has. Here's our Otter.ai vs Fireflies comparison, based on using both on real internal and client calls.

Otter vs Fireflies at a glance

Features and prices are approximate at the time of writing — check vendor pricing for current plan details and limits.

Transcription accuracy: what actually matters

Both tools use modern speech recognition, and in our testing on clear audio with standard accents, both produced transcripts that were comfortably usable — the differences showed up at the edges, and those edges are mostly about your conditions, not the brand. Accuracy for either tool drops with poor microphones, heavy crosstalk, strong accents the model handles less well, and jargon-heavy vocabulary. Where they differ slightly: Otter lets you teach it custom vocabulary and speaker names, which helps with product names and colleagues' names over time, and its live transcript makes it easier to spot (and later fix) errors in context. Fireflies performed comparably, and its transcripts include talk-time and sentiment-style analytics some teams find more useful than a marginally cleaner paragraph. Our honest advice: run the same two real meetings through both free plans. Your team's accents, audio gear, and vocabulary decide this category — not a review, including this one.

Summaries and action items

This is where these tools earn their money, and both are genuinely good. Otter's automated summary gives you an outline of topics, key takeaways, and action items, presented in the same clean document as the transcript, where teammates can comment and highlight collaboratively — it feels like a shared meeting doc that happens to write itself. Fireflies' summaries are similarly structured, with keywords, action items, and questions sections, plus conversation metrics (who talked most, sentiment markers) that sales managers actually use in coaching. In our testing, both tools occasionally assigned an action item to the wrong person or promoted a casual suggestion into a commitment — skim every summary before it becomes the record. Teams that convert these summaries into tracked tasks automatically get the most value; pairing a notetaker with an automation platform, as covered in our Zapier vs Make vs n8n comparison, closes the loop from "we discussed it" to "it's in the task list."

Integrations and automation

Fireflies has the edge here. It connects to the major video platforms (Zoom, Google Meet, Microsoft Teams, and more), pushes notes and recordings into CRMs like Salesforce and HubSpot, posts summaries to Slack, and offers an API and automation-platform connections for custom workflows — logging every sales call against the right deal without a human touching it is a realistic Fireflies setup. Otter integrates with the same core platforms and popular CRMs, and its Slack and calendar experience is polished; it covers what most small teams need, but its automation story is thinner if you want transcripts feeding complex downstream workflows. If your meetings mainly need to be captured and shared, both suffice. If your meetings need to trigger work, Fireflies is built more clearly for that.

Search and organization

After a few hundred meetings, finding "the call where the client mentioned the budget" matters more than any single transcript. Both tools search your library by keyword. Fireflies goes further with filters — by speaker, topic trackers (pricing, objections, competitor mentions), and date — making it feel like a research database over your conversations. Otter's search is fast and its meeting list easy to browse; for an individual or small team whose library stays modest, it's entirely sufficient. The gap only widens with scale.

Pricing and free limits

Both tools offer free plans that are genuinely useful for evaluation but capped for daily use. Otter's free tier includes a monthly allowance of transcription minutes with per-conversation limits; Fireflies' free tier includes a limited number of transcription credits and storage limits. Paid plans for both land in a similar band — roughly ~$10–18 per user/month depending on tier and billing cycle — with higher tiers unlocking more minutes/credits, advanced integrations, admin controls, and team features. The practical difference is the meter: heavy meeting schedules burn through minute-based allowances faster than expected, so estimate your team's weekly meeting hours before choosing a tier.

Prices are approximate at the time of writing and change often — check vendor pricing pages for exact current limits and rates.

Privacy and recording consent

Both tools record people, which creates obligations regardless of which you pick. Many jurisdictions require consent — sometimes from all parties — before recording a call, and both tools announce or display the bot's presence, but the legal duty to inform participants sits with you, not the software. Adopt a simple team rule: the host states at the start that the meeting is being recorded and transcribed, and offers an unrecorded alternative for sensitive conversations. Also check each vendor's data policy for the specifics that matter to your business: where recordings are stored, how long they're retained, whether your data is used to train models (business tiers typically offer stronger protections and opt-outs), and how deletion works when an employee leaves. Client-facing and regulated-industry teams should get the enterprise tier's data terms in writing before rollout. Neither tool is careless here — but neither transfers your responsibilities to them.

Verdict by team type

Individuals, founders, and small teams: Otter.ai. The live transcript, the collaborative document feel, and the gentlest learning curve make it the tool people actually keep using. It was our pick for Fireflies-style duties in the small business AI stack for the same reasons its rival is listed there — for a small team, either works, and Otter is the friendlier daily experience.

Sales, support, and operations teams: Fireflies. CRM logging, topic trackers, searchable call libraries, and automation hooks turn meetings into pipeline data. The larger your call volume, the more this compounds.

Researchers, journalists, and consultants who live inside individual recordings and need precise, re-listenable transcripts with speaker detail: try both free plans on your hardest real audio — a panel discussion, a strong accent, crosstalk — and let that test decide; at this use case the differences are personal, not categorical.

Frequently asked questions