What website is this?
Spellar is an AI meeting notes tool for recording meetings and producing structured minutes. It runs on Mac, iPhone, iPad, and the web, combining live transcription, structured summaries, in-meeting Copilot, and the cross-meeting memory highlighted on the site: clear notes after each call, plus the ability to trace what was said across multiple conversations later. Recording is usually started as a session on your device, rather than sending a third-party bot into the participant list; if you expect a cloud bot to auto-join every call, your workflow may differ. Spellar does not replace Zoom, Teams, or similar platforms—it sits on top as a meeting intelligence and text layer; cloud transcription and retention follow in-app settings and the privacy policy.
Key Features
- Sync recordings, transcripts, and analysis across iPhone, iPad, Mac, and the web so you can continue on another device.
- Turn audio into text and structured summaries with highlights, decisions, and action items.
- Switch among models such as GPT, Claude, Gemini, and Perplexity per meeting or per query.
- Use in-meeting AI Copilot with voice or text questions, modes, and real-time clarification.
- Apply or customize summary templates for standups, 1:1s, strategy sessions, and similar formats.
- Search across past meetings and jump back to cited moments in transcripts (per current product capabilities).
- Sync calendar context and export action items to common project-management and collaboration tools.
Use Cases
- Founders or investors use cross-meeting memory to verify verbal commitments from weeks ago without opening every single note.
- Sales reps generate visit summaries and export tasks so teammates skip replaying full recordings.
- Product managers run standups with templates, use Copilot for blockers live, and share action lists after the call.
- Consultants record on Mac, then polish transcripts and bilingual minutes on iPad for clients.
- Teams that care about meeting tone prefer on-device recording to avoid an extra “notetaker bot” in the participant list.
Who is it for?
- Managers, consultants, sales, and product leads with frequent meetings who need traceable minutes afterward.
- Professionals on Apple devices (iOS/iPadOS/macOS) plus web who accept productivity subscriptions.
- People who must track decisions and commitments across meetings, not only within one note.
- May not fit: Users who only need one-off transcription without templates or cross-meeting search.
- May not fit: Environments that block app-side recording, or procurement that requires published third-party security attestations not stated on the site.
How It Compares to Similar Tools?
Some tools rely on a cloud bot joining the call; others bundle recording inside the meeting platform. Spellar is closer to device-side recording sessions plus a multi-device notes workspace, with model choice, templates, and cross-meeting memory for post-meeting retrieval—often smoother when you do not want a bot in the room, but usually requiring someone to start a session where recording is allowed.
If you want zero-touch bot join on every online meeting, a device-side flow adds a step; if you care more about cited recall across many meetings and live Copilot, Spellar’s bundle aligns better with that. It does not replace CRM, core video conferencing, or legal approval systems—only the layer of “what was said and who does what next.”
FAQs
Q: Does Spellar need a bot to join Zoom or Teams?
A: Usually not. You typically start a recording session on Mac/iPhone/iPad; whether cloud transcription runs and what uploads depends on in-app privacy settings.
Q: Is Spellar free?
A: The app can be downloaded free, but full features are mostly via in-app subscription; tiers and prices follow the App Store or official subscription pages—no amounts listed here.
Q: What does “cross-meeting memory” do?
A: You can query across past meetings and retrieve prior statements, ideally with links back to transcript moments; scope depends on the current release.
Q: Who is Spellar best for?
A: Meeting-heavy professionals on Apple hardware who value minutes quality; occasional transcription-only users who avoid subscriptions or cross-meeting search are often a weaker fit.
