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Fireflies Alternative for Mac: No-Bot Meeting Notes

Looking for a Fireflies alternative on Mac? Dictanta records meetings without a bot and transcribes everything on-device with Apple Intelligence — no cloud.

Mac Fireflies alternative competitor on-device privacy

Fireflies built one of the first sales teams’ favorite AI notetakers. The pitch was clean: Fred — the Fireflies bot — joins every meeting on your calendar, records, transcribes, summarizes, and pipes the result into Salesforce, HubSpot, Slack, and a couple dozen other SaaS destinations. For an SDR or AE running ten discovery calls a week, the time savings are real and the CRM hygiene is even more real.

That is also why people search for an alternative. Not because Fireflies is bad — for sales teams already living in a cloud CRM, it is well-shaped — but because the bot-in-the- meeting model is the wrong default for a growing list of call types. Customer asks who the unfamiliar “Fireflies Notetaker” attendee is. Compliance asks where the audio is stored. Legal asks whether the customer consented to the bot’s presence in writing. Procurement asks for the subprocessor list. Each of those individually is solvable; in aggregate they push some teams to look for a model that doesn’t require any of them.

This post is for the Mac user who tried Fireflies, found a real use for it, and ran into one of those frictions. If you want what Fireflies does for the calls where the bot is the blocker, here is what changes and what stays the same.

What Fireflies does well

Worth being explicit before recommending the switch, because Fireflies is genuinely the right tool for some workflows:

  • Calendar-driven coverage. Connect a Google or Outlook calendar; Fred shows up to every meeting on it. You do not have to remember to start a recording. For a sales team where missing a discovery call recording costs deal context, that automation is load-bearing.
  • Native CRM integrations. Salesforce, HubSpot, Pipedrive, Close, Copper, Zoho. Action items, notes, and call summaries land on the right contact and opportunity records without a human touching them.
  • Conversation analytics. Talk-time ratios, sentiment, keyword trends, monologue detection. Useful for sales coaching at scale. Local recording stacks generally don’t ship this.
  • Search across the whole team’s call history. The Fireflies dashboard makes it easy for a manager to find a call by topic, attendee, or keyword across what every AE recorded that quarter.
  • Multilingual coverage. Fireflies supports 60+ languages on the transcription side. SpeechAnalyzer on macOS 26 is more limited (the language list is growing but is shorter).
  • Integrations beyond CRM. Notion, Asana, Linear, Trello, Slack, Microsoft Teams channels, Discord. The “where does this summary land” question has more answers in Fireflies than in most competitors.

If those six things describe the load-bearing parts of your workflow and the bot in the call is acceptable, Fireflies is fine and you do not need an alternative. The rest of this post is for the case where the bot is the actual blocker.

Where Fireflies is genuinely cloud

The thing that surprises some Fireflies users when they look closely: every part of the pipeline runs in the cloud. The bot joins the call from a server-side meeting client. The audio is streamed to Fireflies’ transcription service. Summaries are generated by cloud LLMs (OpenAI’s API is referenced in their public docs as one of the model providers). Recordings and transcripts are stored on Fireflies’ backend so the web dashboard, search, and CRM sync work.

That has several practical consequences:

1. There is a bot in your customer’s meeting. “Fireflies Notetaker” appears in the participant list of every call. For sales calls this is mostly fine — many customers are used to seeing notetakers — but for some calls it is not. Some customers’ security policies forbid AI notetakers. Some procurement teams require explicit attendee approval for any non-employee participant. Some prospects don’t want to be on the record. Each of those becomes a friction conversation at the start of the call.

2. Audio and transcripts live on Fireflies’ infrastructure. For most calls, fine. For specific kinds — a customer intake under NDA, a deposition prep, a board call, an HR conversation, anything regulated — the answer to “where does this audio live” is “on Fireflies’ servers and their LLM provider’s servers” rather than “on this laptop’s SSD.” For some industries that is the entire conversation.

3. You need a network. Fireflies is a cloud product end-to-end. Offline recording is not a use case it serves. The bot can’t join a meeting you took on a plane.

4. Pricing scales with seats and minutes. Fireflies Free covers 800 minutes/seat lifetime, then Pro is $10/user/mo on annual ($18 monthly), Business is $19/user/mo annual ($29 monthly), Enterprise is $39+/user/mo with a 25-seat minimum. Linearity is fine if every seat gets equivalent value, less fine if some seats only need it occasionally.

5. Subprocessor list grows your procurement review. When a customer’s procurement asks for the list of vendors processing call audio, you list Fireflies, plus their transcription provider, plus their LLM provider, plus their cloud host. For some customers in some industries that list is a deal-extender. For some it is a no.

None of those is Fireflies being bad. They are inherent to running the AI notetaker as a cloud product with a bot in the call.

What changes if the whole pipeline is local

Two macOS frameworks introduced in macOS 26 Tahoe close the loop:

  • ScreenCaptureKit with audio-only content filters captures the system audio output of a specific running process (the Zoom client, the Teams client, the browser running Meet or Webex). No bot in the call, because the recording is happening on your Mac, outside the meeting.
  • SpeechAnalyzer, Apple’s on-device automatic speech recognition framework introduced at WWDC 2025. Per Apple’s benchmarks, ~55% faster than Whisper v3 Turbo on the same Apple silicon. Runs on the Neural Engine. No network.
  • Apple’s Foundation Models, an on-device LLM Apple exposes to apps. Handles the meeting summary — TL;DR, decisions, action items, open questions — locally on the same chip.

These ship as standard frameworks in macOS 26 Tahoe. Any app can use them. Dictanta is the Mac/iPhone/iPad/Vision Pro app that wires them into the same shape as Fireflies’ core “record, transcribe, summarize” loop — minus the bot, minus the cloud, plus an audio-anchored summary so every bullet links back to the moment in the recording.

The same on-device path drives the Zoom no-bot flow, the Teams no-bot flow, the Meet on-device flow, and the Webex on-device flow. The capture is meeting-platform- agnostic — ScreenCaptureKit sees them all the same way.

Side by side: Fireflies vs. Dictanta on Mac

CapabilityFirefliesDictanta
Bot in your meetingsYes (Fireflies Notetaker)No
Where transcription happensCloudOn the Mac (SpeechAnalyzer)
Where summarization happensCloud (OpenAI and others)On the Mac (Foundation Models)
Audio leaves the laptopYes (recorded server-side)No (unless you opt into iCloud Drive)
Works offlineNoYes
Calendar auto-joinYesNo (you start the recording)
Native Mac appNo (web + browser extension)Yes
Free tier800 minutes lifetime/seat3 full recordings, no length cap
Paid tiers$10–$39/user/mo$9.99/mo, $79.99/yr, $149.99 lifetime
Lifetime pricingNoYes ($149.99)
CRM integrationsSalesforce, HubSpot, Pipedrive, othersNone in v1.0
Team workspaceYesNo (single-user with iCloud sync)
Conversation analyticsYes (talk-time, sentiment, monologue)No
Audio-anchored summaryPartialYes (click bullet → scrub audio)
Speaker labelsYesNo in v1.0 (v1.1)
ExportMarkdown, DOCX, PDF, SRT, CRMMarkdown, JSON, plain text (DOCX/PDF/SRT in v1.1)
Languages60+More limited (macOS-managed list)
Available onmacOS, iOS, webmacOS, iOS, iPadOS, visionOS
Minimum OSAny (web-based)macOS/iOS/iPadOS/visionOS 26

The two products overlap on the core record-transcribe-summarize loop and diverge on nearly everything around it. Fireflies optimizes for a calendar-driven, team-wide, CRM-integrated workflow in the cloud. Dictanta optimizes for keeping the entire pipeline on the Mac without a bot in the call.

What you gain by switching

1. No bot in the customer’s meeting. The single biggest practical difference. No “Fireflies Notetaker” in the attendee list. No conversation at the top of the call about who that is. No customer security team flagging it. The recording is your Mac listening to its own audio output — invisible to the meeting and to the other participants.

2. The data residency answer is one place. When a customer asks about how their audio is handled, the answer is “on my Mac’s SSD, behind FileVault, auto-deleting in seven days.” Nothing about Fireflies’ cloud, nothing about the LLM provider, nothing about a transcription vendor. That answer is acceptable to a wider range of customers than the cloud version.

3. Offline recording works. A four-hour flight, a customer site with no Wi-Fi, a coffee shop with hostile DNS — none of those affect local capture. Open Dictanta when you land; the transcript and summary are already done.

4. Audio-anchored verification. Click a summary bullet, hear the exact moment. With audio, transcript, summary, and waveform all in one local store, the round trip from “I clicked a bullet” to “I’m verifying the span” is one click. This matters for sales calls where a misremembered “the customer agreed to a Q3 timeline” can cost a deal — local audio anchoring makes the verification step trivially fast.

5. Lifetime pricing. Dictanta sells a $149.99 lifetime tier. Fireflies doesn’t, because per-user-per-month cloud cost is real. If you record three meetings a week, the lifetime tier amortizes against roughly 15 months of Fireflies Pro on annual billing.

What you give up by switching

Honest about this, because the gaps are real:

  • No automatic calendar coverage. Fireflies’ calendar-driven auto-join is the single feature that creates the most behavior change for a sales team. You stop thinking about recording at all. Dictanta requires you to press ⇧⌘R at the start of each call. For a single contributor that’s fine. For a sales team where consistency across ten reps matters, the automation gap is real.
  • No CRM integration. Fireflies dumps action items and call summaries directly onto Salesforce contact records. Dictanta v1.0 exports Markdown / JSON / plain text; you copy and paste, or wire up a Shortcut, or skip the CRM step. For a solo founder or a contractor who isn’t running a CRM, this is irrelevant. For a sales org of twenty people, it is a blocker.
  • No team workspace. Fireflies has a shared team library where every recording is searchable across the org. Dictanta is single-user with iCloud sync across your own Apple devices. There’s no shared org workspace.
  • No conversation analytics. Talk-time ratios, sentiment trends, monologue detection, keyword frequency — none of that ships in Dictanta v1.0. If sales coaching at scale depends on those signals, Fireflies is the better tool today.
  • No speaker labels in v1.0. Fireflies labels speakers reasonably well from the audio plus calendar context. Dictanta’s v1.0 doesn’t diarize from a system-audio mix on short clips. Diarization is in v1.1.
  • Languages. SpeechAnalyzer’s language coverage on macOS 26 is more limited than Fireflies’ 60+. If you regularly record meetings in less common languages, check the macOS 26 SpeechAnalyzer language list before committing to the switch.

If any of those are load-bearing, Fireflies is the better tool. The rest of this post is for the case where they aren’t.

Migrating from Fireflies to Dictanta

Not destructive — you can run both in parallel.

Week 1: Run both on the same calls. Don’t disconnect Fireflies. Install Dictanta from the Mac App Store. For one or two days, let Fireflies’ bot join your calls as usual and press ⇧⌘R on your Mac at the same time. Compare the transcripts and summaries side by side. Specifically look at:

  • Are the action items the same? Apple’s Foundation Models tend to be more conservative about inferring owners than OpenAI is. If Fireflies says “Pat to send the proposal by Friday” because Pat said it once, Apple’s stack may leave that unassigned.
  • Does the audio-anchored verification add value to your review flow? Click a Dictanta bullet, hear the moment. Decide if that’s a feature you use or ignore.
  • How much of your Fireflies workflow lived in the CRM auto-push? If it was the load- bearing piece, the switch is harder. If you mostly read the summary email after the call, the switch is easy.

Week 2: Move sensitive calls to Dictanta only. Start with the calls where the bot was the most awkward — NDA-covered customer intake, candidate interviews, board calls, anything where the “Fireflies Notetaker” attendee got flagged. Run those on Dictanta only. Leave Fireflies running on the routine sales calls where it has been working.

Week 3: Decide. If the local stack covers your needs, downgrade or cancel Fireflies. If you discover specific gaps — CRM push, team library, analytics — the rational answer is to run Dictanta for the meetings where the bot is the blocker and Fireflies for the rest. Nothing prevents that; both can record the same call.

Practical migration tips:

  • Markdown export from Dictanta lands cleanly in Notion, Obsidian, Bear, Apple Notes, Logseq, Craft. For CRM destinations, copy/paste is the bridge in v1.0.
  • Full-text search across recordings is on-device in Dictanta. Instant across a few hundred recordings.
  • Apple Watch and visionOS surfaces are extras Fireflies doesn’t have. The watch is useful as a “start a recording right now” trigger when you grabbed coffee with someone unplanned.
  • Voice Memos from iPhone import into Dictanta and transcribe on-device. Useful for the hallway conversation that turned into a real meeting.

Where Fireflies is still the right call

Three concrete cases where switching is a downgrade:

  • You run a sales team on a cloud CRM. Fireflies’ automation pushing call summaries and action items directly onto Salesforce/HubSpot records is the load-bearing feature for a sales org. Dictanta v1.0 doesn’t have CRM integration, and copy-paste at scale for ten reps is worse than the cloud automation.
  • You need conversation analytics for sales coaching. Talk-time, sentiment, monologue detection — these don’t exist in Dictanta. If they’re how you measure rep performance, switching loses real workflow.
  • Your team needs a shared call library searchable across the org. Fireflies’ workspace is genuinely useful for a manager who needs to find “which AE had that conversation about contract terms last quarter.” Dictanta is single-user.

If none of those describe you, the local-pipeline answer is probably better.

What the on-device approach makes possible that Fireflies doesn’t

A few capabilities that fall out of the local-only architecture:

  • A meeting that legally never crossed a cloud boundary. For some industries this is not marketing copy; it’s the difference between being able to take the call at all and not.
  • No new attendee in the customer’s meeting. The customer’s procurement, security, and legal teams have one fewer thing to ask about.
  • Sovereignty over the language model. Apple’s Foundation Models update when macOS updates, on your schedule. The cloud LLM under Fireflies can swap behind a flag and change your summary style on a Tuesday morning. The local model doesn’t.
  • One-time price. $149.99 once, forever. No vendor concentration risk on a backend that could change pricing or shut down.

Bottom line

Fireflies is good. For a sales team running ten calls a week, with a cloud CRM, and customers used to seeing AI notetakers, it is one of the cleanest answers on the market. The constraint is that “AI notetaker as a service” still means “a bot joins your customer’s meeting and ships the audio to a cloud pipeline.” For most sales calls that is fine. For a growing list of call types — regulated industries, NDA-covered intakes, candidate interviews, board calls, internal HR conversations — it isn’t.

If you are searching for a Fireflies alternative because you want a different cloud vendor, Otter, Granola, Read.ai, and Fellow are all valid choices. If you are searching because you want to get out of the bot-in-the-call model entirely on Mac, the answer is the local stack: ScreenCaptureKit + SpeechAnalyzer + Foundation Models, all on-device, no bot, no upload. That is what Dictanta ships, free for your first three meetings — enough to decide whether the local pipeline fits your workflow without spending a dollar.

If it does, the choice is a one-time $149.99 or a $9.99/mo subscription. If it doesn’t, Fireflies is still there and nothing was lost.