Equal Time
Meeting notes that also tell you who actually got to speak
Decision snapshot
Fast-read signals for fit, pricing, and trust.
- Category
- Business & Productivity
- Best for
- ai meeting summary tool
What is this tool?
Decide first whether you want meeting notes or meeting evidence. As a notetaker it covers Zoom, Google Meet and Microsoft Teams, and pushes results into Salesforce, HubSpot, Slack, Notion and Linear. What makes it a different purchase is the participation layer — share of talk, interruptions, monologues — which turns a meeting record into something a manager can act on. Two cautions. The participation breakdowns include a gender dimension that rests on inference rather than on anything participants declare. And Equal Time's own pricing page carries no usable price, so this page states none.
By QT Desk
Read full overviewHide full overview
Equal Time is a meeting assistant that records, transcribes and summarises calls on Zoom, Google Meet and Microsoft Teams. That much it shares with a crowded category. What it adds is a measurement layer over the transcript: who spoke, for how long, who interrupted whom, where a single voice ran unbroken.
Those metrics are the product. They exist to support coaching — the vendor builds feedback on top of them — and they answer a question a summary cannot: not what was decided, but who was in a position to influence it. For a team lead running the same meeting every week, that is a trend line rather than a document.
One part of the measurement deserves care. Participation is broken down by gender group, and that grouping is inferred rather than something participants state. Inference at the level of a recurring meeting is a reasonable way to see a pattern. Inference applied to an individual is not, and the distinction matters both for how much weight the number can carry and for how it should be discussed with the people it describes.
Finished notes are pushed out to Salesforce, HubSpot, Slack, Notion and Linear, with Zapier alongside them, and transcription runs across 102 languages with the language detected automatically rather than set per call.
The commercial picture is the gap, and a wide one. No price is stated on this page, and nothing here says where a current one would be found. Everything above is what the product does; what it costs is unsettled, and no comparison on cost can be built from this page.
Is this right for you?
Quick fit check against how you actually work.
Choose this if
- Participation balance in meetings is a problem you have actually been asked to fix, not just an interesting metric
- Your meetings run on Zoom, Google Meet or Microsoft Teams
- Notes need to land in Salesforce, HubSpot, Slack, Notion or Linear rather than in another separate tool
- Your calls switch language and you would rather that were detected than configured
- You are comfortable treating the participation breakdowns as directional evidence about a meeting, which is what they are
Consider alternatives if
- You need transcripts and summaries only — the participation layer is the part you would be paying for
- You need to compare cost before a sales conversation: no price is published on Equal Time's pricing page
- Your meetings happen somewhere other than Zoom, Google Meet or Microsoft Teams
- Your organisation is not willing to act on demographic breakdowns that rest on inference rather than on declared data
Key features
What you can actually do with this tool.
Participation analytics, not just a transcript
Speaking time, interruptions and monologues are reported alongside the summary. This is the reason to choose Equal Time over a general notetaker, and it is the capability to test against your own meetings before anything else.
Zoom, Google Meet and Microsoft Teams
All three are covered, so adopting Equal Time does not require moving your meetings somewhere else — the transcription and the analytics come to where the calls already happen.
102 languages with automatic detection
Language is detected rather than configured per meeting, which matters for a team whose calls switch language depending on who is in the room.
Results delivered into the systems that already hold the work
Salesforce, HubSpot, Slack, Notion and Linear are named, with Zapier alongside them, so the record can land where the follow-up is already being tracked rather than in another separate tool.
Participation data that should be read as inference
The gender dimension of the participation breakdowns is derived rather than declared by the people in the meeting. That is a real distinction: it is sound enough to show a pattern in a recurring meeting, and it is not a record of who any individual is.
Integrations
Tools and platforms this connects with.
ZoomGoogle MeetMicrosoft TeamsSalesforceHubSpotSlackNotionLinearZapier
Frequently asked
Common questions about this tool, answered.
What does Equal Time cost?
No price is published on Equal Time's own pricing page, so none is stated here. Do not budget around a figure until you have a current one.
How much weight should the gender breakdown carry?
Treat it as inferred rather than declared. It is a reasonable way to see a pattern across a recurring meeting and it is not a record about any individual in the room.