Screencap
Turn your team's real workflows into AI training data
Screencap launched on July 31, 2026 with 125 votes, #300 of 24,623 launches that month and more than 95% of that year's launches.
What it does
Screencap records how work actually happens: screen, clicks, keystrokes, window context and teams can use it to turn real workflows into structured datasets for automation and AI training. Consent and privacy are enforced while recording so most sensitive apps are blocked before anything is written, and every trace is scrubbed and reviewed before it leaves a machine. macOS, open source. Try it solo with a free trial, or talk to us about a team pilot.
A local-first macOS screen recorder you own. Privacy is enforced at capture time — password managers, banking, and sensitive apps are blocked or masked before anything is written to disk. Your recordings stay on your machine; nothing leaves it unless you choose to share.
Screencap records your team’s workflows, labels them automatically, and keeps them searchable — so the knowledge behind your best work is ready for whoever needs it next. Everything stays on your Mac until you choose to share. Press ⌘⇧R and work as you normally would, narrating if it helps. Password managers and banking are cut before a frame is written; email and chat are masked as they record. An on-device model segments the footage into labeled tasks — payroll run, expense approvals — and indexes every spoken word and on-screen moment, so any workflow can be found by search months later. Share a single task, or assemble recordings into an ordered onboarding collection. Every copy is…from screencap.sh
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