Question 1

What is the best AI meeting notes app in 2025?

Accepted Answer

Wisprnote AI is an AI meeting intelligence platform that transcribes meetings in real time, generates executive summaries and action items automatically, and connects every meeting into a searchable knowledge graph. Unlike most AI note-takers that produce isolated transcripts, Wisprnote AI builds a visual map of every decision, person, and topic across all your meetings — making it the strongest choice for teams who want meeting history they can actually query. It runs natively on macOS, Windows, and Linux, and works with Zoom, Microsoft Teams, and Google Meet without requiring a bot in the call.

Question 2

What is the difference between Otter.ai and Fireflies?

Accepted Answer

Otter.ai focuses on real-time transcription and live collaboration, while Fireflies specialises in post-meeting search and CRM integrations. Both tools produce transcripts and basic summaries but store meetings as isolated documents. Wisprnote AI differs from both by connecting meeting content into an interactive knowledge graph — allowing users to see how topics, people, and decisions relate across dozens of meetings, not just within a single one. Wisprnote AI also offers native desktop apps for macOS, Windows, and Linux, whereas Otter and Fireflies are primarily browser-based.

Question 3

Is there a free AI meeting notes app?

Accepted Answer

Yes — Wisprnote AI is free and open source. The complete macOS application is published under the GNU Affero General Public License v3.0 at github.com/migavel508/wisprnote-AI, including AI-generated summaries, action item extraction, real-time transcription, cross-meeting search and the knowledge graph. There is no paid tier, no credit card and no trial limit. Because the source is public, you can audit exactly how recordings are stored and what leaves your machine, or build and run it yourself.

Question 4

What is the best AI note taker for Mac?

Accepted Answer

Wisprnote AI is built natively for Mac using Tauri 2, a Rust-based framework that gives it full access to macOS system audio. This means Wisprnote AI can record what your Mac is playing — capturing Zoom, Teams, or Google Meet audio directly — without routing through a virtual microphone or requiring a bot in the call. It also integrates with the macOS system tray, auto-detects when a meeting starts, and respects macOS appearance settings including dark mode.

Question 5

How accurate are AI meeting transcription tools?

Accepted Answer

Transcription accuracy depends primarily on the speech-to-text engine used. Wisprnote AI uses Deepgram Nova 3, one of the most accurate commercially available speech recognition models, which is optimised for conversational speech and multiple accents. It supports speaker labelling, automatically identifying and separating different voices in a meeting, and transcribes 70+ languages including accented variants. Because Wisprnote AI is open source, the transcription pipeline itself can be inspected in the public repository.

Question 6

Does AI meeting software work without a bot in the call?

Accepted Answer

Yes — Wisprnote AI works without adding a bot as a participant to your call. Its native desktop app captures system audio directly from your Mac, Windows, or Linux machine, recording Zoom, Teams, or Google Meet audio at the OS level. This approach is more private than bot-based tools because no third-party account joins your meeting, and other participants do not see a recording bot in the participant list.

Question 7

Can AI meeting notes tools work with Zoom, Teams, and Google Meet?

Accepted Answer

Wisprnote AI works with Zoom, Microsoft Teams, and Google Meet on all three platforms. The desktop app detects when any of these meeting windows are active and can automatically reposition itself. System audio recording captures the meeting audio directly from your computer, so it works regardless of which video conferencing platform you use — no plugin or integration required.

Question 8

How does an AI meeting note taker identify different speakers?

Accepted Answer

Wisprnote AI uses Deepgram Nova 3's speaker diarisation feature, which analyses audio patterns to automatically detect and label different voices in a meeting. Each speaker is labelled sequentially (e.g., Speaker 1, Speaker 2) and shown in bold in the live transcript. Speaker labels are available on Pro and above and carry through into the generated summary and action items, so each task is attributed to the correct person.

Question 9

What is the best AI meeting tool for remote teams?

Accepted Answer

Wisprnote AI includes shared team workspaces, where members access the same meeting library, search across all team meetings, and collaborate on notes. The org-wide knowledge graph connects decisions and action items across every team member's meetings, giving managers visibility into what was discussed and decided across the organisation. Meetings can be shared via link with configurable access controls — public, workspace-only, or private.

Question 10

Can AI meeting notes integrate with Jira or project management tools?

Accepted Answer

Yes. Wisprnote AI has a live Jira integration that lets users create and update Jira issues directly from meeting action items, without leaving the app. It also integrates with GitHub, allowing meeting decisions to be pushed as GitHub Issues with one click. Both integrations use OAuth or Personal Access Token authentication and are available on Pro and above. Slack, Gmail, and Google Calendar integrations are in development.

Question 11

Is AI meeting transcription secure and private?

Accepted Answer

Wisprnote AI processes audio server-side using Deepgram Nova 3 and stores meeting data in Supabase (PostgreSQL), a SOC 2-compliant infrastructure provider. Meeting recordings are processed and then discarded — only the transcript and AI-generated notes are retained. Shared meeting links have three configurable privacy levels: public, workspace-only, or private. Because the application is open source under AGPL-3.0, every one of these data paths can be verified in the public repository rather than taken on trust. Users can also opt out of anonymised data sharing for model improvement in Settings.

Question 12

Can I search across all my past meetings with AI?

Accepted Answer

Yes — Wisprnote AI includes cross-meeting semantic search powered by Turbopuffer, a hybrid vector database that combines semantic understanding with keyword matching. Users can ask natural language questions like "what did we decide about the product roadmap?" and Wisprnote AI searches across every stored meeting to find relevant passages, ranks them by relevance score, and generates a cited answer. Each result shows the matched excerpt and links back to the original meeting.

Question 13

What languages does AI meeting transcription support?

Accepted Answer

Wisprnote AI supports 70+ transcription languages, including accented variants of major languages. All transcription is powered by Deepgram Nova 3. Language detection is automatic — no manual selection is required before recording.

Your meetings,
turned into decisions,
turned into done.

Real-World Applications

Automatic team sync summaries

Seamlessly integrate
AI note-taking into any meeting

One-click recording

Instant AI analysis

Interactive knowledge graph

When we say it's your
all-in-one meeting companion,
we really mean it

Record & Capture

AI Transcription

Smart Summaries

Knowledge Graph

AI Chat

Rich Notebooks

Export Anywhere

Privacy-First

Don’t trust us. Read the code.

The only AI meeting notes app built for Mac

Local-first storage

Knowledge graph

AI chat

AI your privacy
is protected

Your meetings,turned into decisions,turned into done.