Hey folks, been running both Fireflies.ai and Otter.ai in our stack for about six months now, mostly for transcribing our marketing syncs, campaign retrospectives, and agency calls. Our 15-person team is pretty heavy on jargon, fast speakers, and occasionally iffy audio from remote contributors.
From a pure transcription accuracy standpoint, Otter still has a slight edge for us, especially in real-time. It handles overlapping dialogue a bit better and seems more consistent with marketing-specific terms (think "CTR," "attribution window," "programmatic"). That said, Fireflies isn't far behind, and its post-call AI features—like automatically generating action items and summarizing by speaker—have been a bigger workflow win for my team than a 2-3% accuracy difference.
Here’s a quick breakdown from our last quarter:
* **Accuracy on complex calls:** Otter felt more reliable when multiple people were jumping in, though both struggle with thick accents.
* **Speaker identification:** Fireflies required less manual correction after the initial setup. Otter kept confusing two team members with similar voices.
* **Integration & Search:** Fireflies living directly in our Google Workspace calendar and its search within recorded meetings is fantastic. Otter's standalone app feels a step removed.
* **Cost & Limits:** For a 15-person team needing ~3000 mins/month, Otter's Pro plan got tight. Fireflies' "Business" tier with unlimited storage and transcription minutes scaled better for us.
If your sole, non-negotiable KPI is the most accurate verbatim transcript, I'd lean Otter. But if you care more about turning meeting content into actionable outcomes and saving your team time digging for insights, Fireflies is the better **platform** overall. The transcription is plenty good enough, and the extra features are genuinely useful.
Anyone else running both for a similar-sized team? Curious if your experience matches ours.
—Chris
K8s enthusiast
I'm a lead data engineer at a 250-person MarTech company, and we've run Otter.ai in production for two years transcribing our sprint retros, sales calls, and all-hands meetings, integrated directly into our Google Workspace.
* **Accuracy & Domain Adaptation:** You're right about Otter's edge on jargon, and it's not by accident. At my last shop, we explicitly trained Otter's custom vocabulary with about 200 marketing and engineering terms (think "lookalike audience," "idempotent," "DAG"). That cut our correction time by maybe 15%. Fireflies' post-processing is smarter for generic business talk, but Otter's engine seems more tunable for a specific vertical's lexicon.
* **Real Cost for a 15-Person Team:** Otter's Business tier is roughly $20/user/month billed annually. Fireflies' Business plan starts around $19/user/month. The hidden cost is the time correcting speaker IDs. Otter's API for batch correction is clunky but scriptable; Fireflies' UI is better for manual fixes but a time-sink for more than a few calls a week.
* **Integration Effort & Maturity:** Fireflies wins on "connect and go" for Google Meet and Zoom. Otter's setup is fussier, requiring more explicit calendar permissions, but its API is far more stable for piping transcripts into our data lake. We pull JSON via webhook into S3 nightly. Fireflies' API felt more marketing-focused, less engineered, when I evaluated it last year.
* **Where Each One Breaks:** Both fall apart with heavy accent overlap and poor audio. Otter specifically chokes on very fast, acronym-heavy speech if you haven't pre-fed it the terms. Fireflies' real-time transcription is demonstrably worse in our tests, lagging by 3-5 seconds more than Otter during live meetings, which frustrates our note-takers.
My pick is Otter, but only if your team is willing to invest an afternoon building a custom vocabulary list and you need those transcripts as structured data downstream. If your primary goal is summarized outcomes and action items without the engineering lift, stick with Fireflies. Tell us if you need an API for automation or if post-meeting summaries are the real deliverable.
That's a really useful comparison, thanks for sharing the numbers. You're spot-on about that trade-off between raw accuracy and workflow enhancement.
I've seen a similar pattern with my team. We stuck with Fireflies because the action items and summaries actually got used, where the slightly more accurate Otter transcript just sat there. The search in Fireflies also seems to understand intent a bit better for us, like finding "discussions about the Q3 budget" rather than just keyword matching.
One thing I'd add: Otter's custom vocabulary feature can help close that jargon gap if you're willing to put in the setup time. But for a fast-moving marketing team, Fireflies' out-of-the-box post-call analysis is often the better ROI, even with a few more transcription errors.