Both sides. No bot.
Record your microphone and anything playing on your Mac. Daisy separates the speakers and turns the call into a finished note.
- Start
- Toggle or auto-start
- Captures
- Mic + Mac audio
- Result
- Library · Markdown
Meetings · Dictation · Voice notes
Daisy captures meetings, dictation and voice notes, transcribes on-device, and turns what you said into useful, searchable notes.

Meet Daisy
Pick a mode by what you want to capture—and where you want the words to go when you are done.
Record your microphone and anything playing on your Mac. Daisy separates the speakers and turns the call into a finished note.
Hold a hotkey and talk naturally. Daisy transcribes on-device and pastes the text wherever your cursor already is.
Tap a hotkey, say what is on your mind, and keep it as a titled, searchable standalone note in your own library.
From people who use it
I’ve been using Daisy regularly for over 5 months to record client calls and dictate everyday to-dos and work tasks. I’m thrilled with how much it has streamlined my workday and the processes within it. I no longer worry about missing or forgetting something, and I can also monitor the quality of my managers’ calls and identify areas where they can improve.

I was looking for a way to record meetings without bots joining the calls and came across Daisy. It did exactly what I needed, and I couldn’t find an alternative that matched it for features and ease of use. I use it to record all my work calls so I can analyze them with AI afterwards.

My notes used to be all over the place. Voice messages to myself in Telegram, meeting recordings in the company’s cloud service. These days I use Daisy for both. For one-on-ones especially, I like knowing the recording and transcript stay on my Mac. And afterwards I can just go back to the transcript instead of trying to make sense of whatever I managed to write down.

I wasn’t impressed with Daisy at first, but apparently it was still an early beta, so I kept using Wispr Flow. But Wispr’s usage limits weren’t enough for me. Then I remembered Daisy. I installed it again, and by then it had reached a major release. It’s been working great for a couple of weeks now. It records meetings, and everything is fast. I’m 100% happy with it. Lightweight and minimalist. Nothing extra.

I use Daisy to record and transcribe work meetings, and I’ve set up Activepieces to automatically send summaries to a CRM. It saves me a lot of time, helps me keep track of important agreements and stay on top of tasks. I especially like that the app is free, easy to use, and works with both ChatGPT and Apple Intelligence.

I don’t want client conversations sitting on someone else’s server, so I started using Daisy. Now I use it for pretty much every call, in-person meeting and email. It helps me keep track of what I promised people and follow through, whether that’s sending an email, creating a task or scheduling a meeting. Everything stays on my machine. I’ve checked that with a firewall, too.

News & articles
Weekly news from Mac, iPhone and Apple Watch, and longer reads on privacy, accuracy and how Daisy compares.
A new stable Mac release, processing plans in beta, aligned audio tracks and crash reports you control. The internal iPhone build also handles longer transcripts in parts.
Economy, Balanced and Maximum plans explain their trade-offs. Heavy processing can wait until your Mac is charging.
Microphone and system audio share a recording clock, including across pauses. Export them mixed or as two separate files.
After a crash, review the full diagnostic report before deciding whether to send it. Meeting content is excluded.
Articles
How to plan consent, local transcription, supervision excerpts and retention before recording a therapy session. Where Daisy fits and what it does not guarantee.
A practical workflow for doctors evaluating local transcription: separate drafts from the clinical record, check critical details and control every copy.
How to organize client recordings, transcripts and AI drafts by matter, review quotations and share only what the legal team needs.
New in Daisy
Daisy 1.0.7.59 introduced a workload dashboard, meeting preparation and evidence-backed plan review, plus an optional local privacy layer for cloud summaries.
Summaries · 1.0.7.57 and newer
Connect through ChatGPT or Codex instead of adding an OpenAI API key. Daisy shows the model and provider-reported plan window, while API-key and fully local modes remain separate choices.
Set up account-backed summariesHome · 1.0.7.59
One period control drives activity, call time, weekday load, writing statistics and AI usage across 7, 30, 90 and 365 days.
Before and after the call
Add an agenda as text, Markdown, PDF or DOCX. After the summary, Daisy reviews every item separately with transcript evidence, timestamps and confidence.
Confirm rollout ownerCompleted · evidence at 32:18
Optional cloud protection
Daisy can pseudonymize detected people, companies and contacts locally before supported cloud summaries, while secrets and payment-card numbers stay redacted.
After the conversation
Daisy turns a conversation into the useful parts while the context is still fresh—not another recording you promise yourself you will replay.
Every line stays attached to the person who said it, ready to find later.
The conversation becomes a short note you can understand without replaying it.
Commitments leave the call as concrete actions, not a vague memory.
Keep the finished record in a folder you choose and use it with the tools you trust.
The archive at work
Connect Claude, Cursor or another MCP client to ask across the local archive. Prepare the day, gather loose ends and understand a project without reopening every meeting.
The pilot scope is ready to confirm, Lena is waiting on the launch brief, and two action items have carried over from yesterday.
Pilot review2 related notes · 3 open itemsPrep
Lena / launchLast spoke 4 days agoPrep
Design critiqueNo preparation neededReady
Update the launch briefFrom Q3 product review
Send the pilot inviteFrom Lena / launch
Confirm onboarding ownerFrom weekly planning
What changed in the pilot plan this week?
The scope narrowed from six onboarding steps to three. The team agreed to test with five users before adding integrations.
These scenarios use Daisy's local MCP connection. Your AI client reads only the sessions you choose to expose.
Local core · Open edges
Daisy records, transcribes and keeps the archive on your Mac. Local AI can stay inside that boundary. External AI and destinations are optional branches you connect deliberately.
Your Mac
No Daisy account and no Daisy cloud archive between you and your notes.
Use a local model, Apple Intelligence, your ChatGPT account, or a provider API key. Daisy shows the boundary before anything leaves the Mac.
Send selected notes through configured destinations, webhooks or MCP workflows.
Comparison
A complete comparison across meetings, dictation, storage, automation and AI access. A check means the capability is built in; a dash means no directly comparable core workflow is documented.
| Capability | Daisy | Wispr Flow | Granola | Otter | Fireflies |
|---|---|---|---|---|---|
| Meeting recording | ✓ | ✓ | ✓ | ✓ | ✓ |
| Dedicated voice-note mode | ✓ | Scratchpad | — | — | — |
| Dictation in any app | ✓ | ✓ | — | — | — |
| Speaker separation | ✓ | — | ✓ | ✓ | ✓ |
| Meeting screenshots | ✓ | — | — | — | — |
| Pre-meeting context | Local brief | — | Cloud | Cloud workflow | Cloud |
| Cross-meeting insights | Local | Usage only | Cloud chat | Cloud chat | Cloud analytics |
| CRM and destinations | Destinations + webhooks | Dictates into CRM | Native + API | Native + API* | Native + API |
| Languages | 12 + auto-detect including Russian | 100+ | Multi-language | 6 | 100+ |
| Transcription | Local | Cloud | Cloud | Cloud | Cloud |
| Primary archive | Local Markdown | Cloud account | Cloud workspace | Cloud workspace | Cloud workspace |
| Summary model choice | Local or your provider | Wispr models | Granola models | Otter models | Fireflies models |
| Local protection before cloud AI | Pseudonymization | — | — | — | — |
| Works offline | ✓ | × | × | × | × |
| API / automation | Local tools + webhooks | — | REST API | Enterprise API* | GraphQL API |
| Open source | ✓ | × | × | × | × |
| MCP and agent access | Local | — | Cloud | Cloud | Cloud |
| Daisy/vendor account required | No | Yes | Yes | Yes | Yes |
Checked against official product materials on August 19, 2026. * Otter API is Enterprise-only.
Proof without theater
Trust comes from inspectable software, clear data boundaries and claims that can be checked—not an invented accuracy number or a wall of anonymous quotes.
Read the code, build it yourself or inspect exactly how the data path works.
Open GitHub ↗Signed and notarized, built around Apple's audio, security and on-device ML stack.
View the security model ↗Daisy uses published speech engines, re-runs speaker separation offline and admits where overlap remains hard.
Read the benchmark protocol ↗Use cases
Private client notes or a shared next step: find a workflow for your profession and team.
Before you record
Privacy, compatibility, AI and what actually happens when you press Record.
Daisy is a private app for meeting notes, dictation and voice notes. It is available for macOS, with Windows and iOS versions in development. It records both sides of a call without a bot, transcribes on-device and keeps the result as local Markdown.
No. Daisy captures your microphone and the audio already playing through your Mac. Nothing joins the meeting, announces itself, or appears in the participant list.
Daisy works at the Mac audio layer instead of relying on a meeting-platform integration. That means calls playing through your Mac can be captured across apps such as Zoom, Google Meet, Microsoft Teams, Telegram and Webex.
Recording, transcription and your Markdown archive live on your Mac. If you choose an external summary provider or destination, that specific content is sent directly from your Mac to the provider you selected — Daisy is not a proxy and does not keep a cloud archive.
Not for recording or transcription. For summaries you can use a supported local option, Apple Intelligence on compatible macOS versions, connect the ChatGPT account already signed in through ChatGPT or Codex, or add your own provider API key. API keys stay in macOS Keychain; account-backed requests use your ChatGPT plan limits.
Into the folder you choose, as plain Markdown. That can be a regular local folder, iCloud Drive, an Obsidian vault, or another place you control.
Daisy can expose the local archive to compatible AI clients through MCP and can send finished results through configured destinations or webhooks. Each connection is optional and set up explicitly by you.
Daisy is currently available for Apple Silicon Macs running macOS 14 or newer. Windows and iOS versions are in development; they are not yet available to download. Some system AI features require a newer version of macOS, but recording and on-device transcription do not require an Apple Intelligence-capable Mac.
Daisy offers transcription in 12 selectable languages: English, Russian, Ukrainian, Polish, Spanish, German, French, Italian, Portuguese, Japanese, Korean and Chinese. Auto-detect is also available. Summary-language support depends on the AI provider you choose.
Recording and consent laws vary by location. You are responsible for giving any notice and obtaining any consent required where you and the participants are located.
Daisy is free for now. Any external AI usage is billed directly by the provider you choose. Pricing will be announced in advance.
Why Daisy?
“Daisy, Daisy,
give me your answer, do…”
In 1961, a computer at Bell Labs sang “Daisy Bell”. That demonstration inspired HAL 9000’s song in 2001: A Space Odyssey.
Today, Daisy listens to you — and helps you keep what you said.
The story at the Computer History MuseumKeep the conversation
Apple Silicon · macOS 14+
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