Description
Earmark is an AI meeting assistant that turns live conversations directly into deliverables. Instead of joining calls as a bot, it captures meetings from your device, understands the conversation as it develops, and lets AI agents work alongside it in real time. Decisions, owners, and technical constraints are captured live so teams walk out of each meeting with clear direction, specs, and drafted work rather than just notes.
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Earmark can generate product requirements documents, technical specs, decision logs, customer follow-ups, executive updates, and drafted Linear or Jira tickets with titles, descriptions, and acceptance criteria while the meeting is still happening. It can drop conversations into build mode with Cursor-ready specs, v0-ready UI prompts, and portable local Markdown files that flow into tools like Obsidian or your own agents. You can run multiple agents at once to surface risks, track decisions, monitor open questions, and help facilitate.
Earmark is platform-agnostic, working with Zoom, Teams, Google Meet, Webex, and in-person conversations, and only the person using it needs the app. It is privacy-first by default: it never announces itself as a participant, does not retain raw meeting audio, supports an ephemeral Temporary Mode, lets you control retention per meeting or workspace, and does not use customer content to train AI models. Projects and multiplayer let teams bring related conversations together into permission-aware shared context. Plans start at $8/month (Starter, 20 meetings) with Pro at $20/month for unlimited meetings, plus Enterprise, and a 14-day trial.
- CategoryAI Meeting Assistants
- Pricing ModelPaid
- DeploymentCloud
- PlatformsWeb
Earmark's Core Features
Botless, device-side meeting capture with no visible participant
Real-time generation of PRDs, specs, decision logs, and follow-ups during the call
Drafted Linear and Jira tickets with titles, descriptions, and acceptance criteria
Build-mode outputs: Cursor-ready specs and v0-ready UI prompts
Multiple live agents that surface risks, track decisions, and help facilitate
Portable local Markdown output that works with Obsidian and your own agents
Projects and multiplayer for permission-aware shared organizational context
Privacy-first controls: no raw audio retention, Temporary Mode, and no model training on your data
How to use Earmark?
Open Earmark: Launch the app on your computer and start capturing, with no bot added to the call.
Talk: Hold your meeting on any platform or in person while Earmark builds an understanding of the conversation.
Run agents: Ask Earmark to draft a spec, create tickets, or write an update, or run agents automatically for risks and decisions.
Ship: Refine the generated deliverables and push work to Linear, Jira, or your workflow before the call even ends.
Earmark's Use Cases
- Product planning to tickets
- Engineering context capture
- Customer and stakeholder updates
- Cross-team knowledge base
