OTTER VS FIREFLIES
Otter vs Fireflies (2026): The Two Big Meeting Bots, Compared
Both send a visible bot into your calls and both meter you per user — Otter meters minutes (1,200/mo on Pro after cutting 6,000), Fireflies meters storage + AI credits and covers 100+ languages. If the bot itself is the problem, VocalFuse transcribes locally on Windows with no bot, no meter, and no uploads at flat $5/mo Basic / $10/mo Pro.
Side-by-Side: Otter vs Fireflies vs VocalFuse
| Otter AI | Fireflies.ai | VocalFuse (local) | |
|---|---|---|---|
| Core job | Meeting notetaker + bot | Meeting notetaker + bot + revenue intelligence | Local dictation & transcription |
| Free tier | 300 min/mo, 30-min cap/conversation, 3 lifetime imports | Unlimited transcription, 800 min storage/seat, 20 AI credits/mo | Local Whisper, no minute cap |
| Entry paid | Pro $16.99/mo ($8.33 annual) — 1,200 min/mo | Pro ~$10/user/mo (annual) — 8,000 min storage, unlimited summaries | Basic $5/mo flat — unlimited dictation |
| Mid tier | Business $30/mo ($19.99 annual) — unlimited minutes | Business ~$19/user/mo (annual) — unlimited storage + conversation intelligence | Pro $10/mo flat — AI notes layer |
| What gets metered | Minutes (one shared pool: live + imports) | Storage + AI credits (transcription effectively unlimited) | Nothing — your PC does the compute |
| Languages | 6 variants (2 in beta), one at a time | 100+ with automatic detection | 99 via Whisper, offline |
| Accuracy (clean audio) | 93–95% (third-party 2026) | 90–93% (third-party 2026) | Whisper-class on your hardware |
| Conferencing coverage | 6 platforms, audio only | 9 platforms, audio + video | Any app — mic capture beside the call |
| Meeting bot | Visible OtterPilot joins every call | Visible Fred bot (desktop app/Chrome ext can skip it) | None — invisible to attendees |
| CRM / workflow sync | OtterPilot for Sales (Enterprise) | Salesforce/HubSpot/Pipedrive/Copper field mapping + Zapier | None (export anywhere) |
| Training on your data | Yes by default (de-identified); named in 2026 class action | States no third-party training on any plan | No vendor ever receives the audio |
| Offline use | No | No | Yes — full offline after model download |
Otter and Fireflies plans verified September 2026 from vendor pricing pages plus independent 2026 audits. Accuracy figures are third-party benchmarks on clean audio, not vendor claims.
What Otter actually is
Otter is a meeting notetaker with a bot at its center. OtterPilot joins Zoom, Google Meet, or Teams as a labeled participant, streams audio to Otter's cloud, and returns live notes, summaries, and action items. The free plan caps 300 monthly minutes with a 30-minute-per-conversation limit and 3 lifetime file imports; Pro ($16.99/mo, $8.33 annual) lifts that to 1,200 minutes with a 90-minute cap — an allowance Otter cut from 6,000 minutes without a price change, the most-documented complaint of its 2026 reviews; Business ($30/mo, $19.99 annual) removes the minute wall entirely. Six language variants are supported (German and Simplified Chinese still beta), one at a time. Otter builds speaker voiceprints and trains its AI on customer conversations by default, using de-identified audio — and it is the named defendant in the consolidated In re Otter.AI Privacy Litigation class action (N.D. Cal.) over bot consent. Full plan math: our Otter AI pricing breakdown.
Best for: English-speaking teams that want a polished, searchable meeting archive and accept the minute meter.
What Fireflies actually is
Fireflies is the wider net. Its bot joins calls on nine platforms (Zoom, Meet, Teams, Webex, GoToMeeting, Dialpad and more), records audio and video, and transcribes in 100+ languages with automatic detection — if your calls cross languages, this round isn't close. Pricing is per user with annual billing: free (unlimited transcription, 800 minutes of storage per seat, 20 AI credits), Pro about $10/user/mo (8,000 minutes of storage, unlimited AI summaries), Business about $19/user/mo (unlimited storage, conversation intelligence with talk-time/sentiment/monologue detection, multi-language mode), Enterprise custom with HIPAA, SSO and private storage. Two meters sit on top of the seat: cloud storage (older meetings rotate out when the wall hits) and AI credits (20–50/mo by tier) that summaries, AskFred cross-meeting chat, and automations draw down. Fireflies states customer meeting data is not used to train third-party models — a real differentiator against Otter's default-on training. Deeper cuts: our Fireflies alternative guide.
Best for: sales and international teams that want CRM sync, cross-meeting search, and language breadth.
The meter is the real difference
Both companies meter, but not the same thing — and that decides which one annoys you first:
- Otter meters minutes. One shared pool covers live meetings, in-app recording, and imports. When 1,200 runs out on Pro, transcription stops — no overage, no rollover. A heavy month pushes you to Business at 2.4x the annual price.
- Fireflies meters storage and AI. Transcription is effectively unlimited, but your corpus lives inside a storage wall (800 min/seat free, 8,000 on Pro) where older meetings rotate out, and summaries plus AskFred draw down a 20–50 monthly credit balance. Heavy AI months cost more than the sticker price.
- VocalFuse meters nothing. The flat $5/mo Basic / $10/mo Pro price has no minutes, no storage wall, and no credits because the ~57 MB Whisper-class model runs on your own Windows PC. Effective cost per minute only falls the more you transcribe.
Both bots also share the same structural trade: a visible participant joins every call (Teams treats it as an anonymous guest; some hosts block bots at the waiting room), and every recording uploads to the vendor's cloud under their retention defaults. If any attendee would object to a bot, or the audio is privileged, NDA'd, or embargoed, neither tool fits the room — capture locally instead.
Where each one genuinely wins
Otter wins on polish & the free tier
The cleanest live-notes editor in the category, real-time collaboration, and a free plan that works for short-call weeks. Accuracy leads Fireflies slightly in third-party testing on clean English audio. MCP server for AI assistants is a genuinely modern touch.
Fireflies wins on breadth
100+ languages vs six, nine conferencing platforms vs six, audio+video vs audio-only, field-level CRM mapping, AskFred search across meetings/email/Slack/CRM, and a no-training guarantee. For global or sales-heavy teams, the pick of the two bots.
VocalFuse wins on architecture
No bot joins your calls, no audio uploads, no meter that can be cut from 6,000 to 1,200 overnight. Flat $5/$10 month-to-month, 99 languages offline, dictation included everywhere. No CRM sync — that's the honest trade for owning the transcript.
Which should you pick?
Pick Otter if your meetings are English, short-call-heavy, and you want the most refined notes UI — and your monthly volume fits inside 1,200 minutes.
Pick Fireflies if your calls cross languages, your team lives in a CRM, or you need conversation-intelligence analytics on top of transcripts — and you accept storage and credit meters on top of the seat.
Pick local if the deciding factor is that no bot joins the call and no audio leaves your machine: Otter alternative and Fireflies alternative guides cover the migration, and the 2026 notetaker privacy backlash explains why bot-free capture keeps winning deals.
Bottom line: Otter vs Fireflies is a minute meter vs a storage-plus-credits meter — pick by where your volume actually lands. If the job is an accurate transcript where your audio stays yours, the local option undercuts both on price ($5/mo flat vs $8.33–$19+/user) and on architecture.
Otter vs Fireflies FAQ
Is Otter or Fireflies better in 2026?
They are both meeting bots — the choice is scope, not category. Fireflies wins breadth: 100+ transcription languages with automatic detection (Otter lists six, two still in beta), audio+video capture across nine conferencing platforms, and deeper CRM sync (Salesforce, HubSpot, Pipedrive, Copper with field-level mapping). Otter wins polish and the on-ramp: a cleaner editor, a genuinely usable free tier, and a simpler workspace. Accuracy on clean English audio is close (third-party 2026 benchmarks put Otter at 93–95% and Fireflies at 90–93%). If a visible bot joining your calls is itself the problem, neither qualifies — local VocalFuse on Windows captures from your microphone with no bot, no minute meter, and nothing uploading, at $5/mo Basic or $10/mo Pro.
How much do Otter and Fireflies cost in 2026?
Otter: free (300 min/mo, 30-min cap per conversation), Pro $16.99/mo monthly or $8.33/mo annual with 1,200 minutes/month (cut from 6,000 without a price change), Business $30/mo monthly or $19.99 annual with unlimited minutes, Enterprise custom. Fireflies: free (unlimited transcription but only 800 minutes of storage per seat and 20 AI credits/mo), Pro about $10/user/mo annual with 8,000 minutes of storage and unlimited AI summaries, Business about $19/user/mo annual with unlimited storage, CRM sync and conversation intelligence, Enterprise custom (HIPAA/SSO/private storage). All published prices are per user, annual billing required for the quoted rates. Both vendors reshuffle allowances periodically — confirm at checkout.
Which has the better free plan: Otter or Fireflies?
Different ceilings for different jobs. Otter free gives 300 transcription minutes a month but hard-caps every conversation at 30 minutes and allows only 3 file imports — lifetime, not monthly. Fireflies free transcribes unlimited meeting minutes but stores only 800 minutes per seat (older meetings rotate out) and rations AI summaries behind 20 monthly credits. If you take many short calls, Otter's minute pool runs out in about a week; if you take long sessions, Fireflies' storage wall and credit rationing bite. Both free tiers are working demos of a cloud product, not tools. VocalFuse's free tier runs local Whisper with no minute cap, no storage wall, and no bot.
What does Fireflies meter that Otter doesn't?
They meter different things. Otter meters transcription minutes per month (one shared pool across live capture, in-app recording, and imports — 1,200/mo on Pro, hard stop when it empties). Fireflies leaves transcription effectively unlimited and meters two other things: cloud storage (800 min/seat free, 8,000 on Pro, unlimited on Business — raw audio and transcripts both count) and AI credits (20–50/mo by tier) that summaries, AskFred cross-meeting chat, and workflow automations draw down. So Otter stops transcribing when the wall hits; Fireflies keeps transcribing but charges effectively for retention and AI on top of the seat price. Neither meter is usage-you-control — VocalFuse's flat $5/$10 pricing has no minutes, storage, or credit meter because your own PC does the compute.
Which is more accurate: Otter or Fireflies?
On clean audio with native English speakers, a 2026 third-party benchmark puts Otter at 93–95% and Fireflies at 90–93% — close enough that accuracy should not decide it. On hard audio (heavy accents, cross-talk, background noise) both degrade materially. Where they genuinely differ: Fireflies transcribes in 100+ languages with automatic detection and multi-language mode; Otter supports six language variants (German and Simplified Chinese still beta) and cannot mix languages in one recording. If your meetings are non-English or mixed-language, Fireflies is the clear pick of the two. Local Whisper-class engines handle 99 languages offline, which is what VocalFuse runs.
Do Otter and Fireflies train on my meeting data?
Otter trains its AI on customer conversations by default using de-identified audio and transcripts, and is the named defendant in a consolidated federal class action, In re Otter.AI Privacy Litigation (No. 5:25-cv-06911, N.D. Cal.), over how its Notetaker bot records people who never consented. Fireflies states that customer meeting data is not used to train third-party models on any plan — a meaningful difference — but both are cloud services: every call's audio uploads to their servers, and both build speaker voiceprints. If the requirement is that audio never leaves the machine, neither tool qualifies architecturally; VocalFuse transcribes locally on Windows so there is no upload step to trust and no vendor privacy policy to re-read each quarter.
Is there an alternative to Otter and Fireflies without a meeting bot?
Yes — the bot is optional if you capture audio locally. VocalFuse runs on your Windows PC beside Zoom, Meet, or Teams: you record from your microphone (invisible to other participants, no admissible-bot consent issues), transcription runs locally on a ~57 MB Whisper-class model, and raw audio never uploads. Flat $5/mo Basic dictation or $10/mo Pro AI notes, no minute pool, no storage wall, no credit meter, fully offline after the model download. What you give up versus the bots: no auto-join scheduling, no CRM sync, no cloud conversation-intelligence dashboards. What you keep: the transcript is yours, permanently, with no meter that can be cut from 6,000 minutes to 1,200 overnight.
Skip the bot entirely
No meeting bot. No minute pool. No credit meter. Install the Windows app, record beside any call, transcribe offline, upgrade to flat $5/mo Basic or $10/mo Pro only if you want dictation everywhere or the AI notes layer.