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AI screen recorder

An AI screen recorder for work memory, not just videos.

Screenpipe is an AI screen recorder that makes your work searchable instead of just recording videos. It captures your screen and audio locally, then uses AI to help you search what you saw, recover meeting context, generate SOPs, and turn repeated work into automation or agent evals. The capture layer for real work, not a video editor.

Download Screenpipe See the use case

Search what happened

Find text, screens, app context, transcripts, and moments from your workday without scrubbing through video files.

Generate SOPs

Turn real screen recordings into draft steps, edge cases, and handoff notes for recurring workflows.

Give agents context

Use desktop traces as source material for prompts, evals, automation specs, and computer-use agent datasets.

Keep capture scoped

Start local-first, then decide exactly what can be synced, summarized, redacted, or shared with a team.

category difference

Most AI screen recorders make videos. Screenpipe makes your work searchable.

Use Loom, Camtasia, Synthesia, or a classic recorder when the final artifact is a video. Use Screenpipe when the valuable artifact is the context hidden inside the work.

Need
Video recorder
Screenpipe
Primary job
Create a polished video someone can watch.
Create searchable memory and workflow intelligence from real work.
Best for
Tutorials, demos, training clips, async updates.
Recall, SOPs, task mining, agent evals, and automation discovery.
Output
A recording, transcript, or edited video.
Searchable timeline, transcript, workflow report, SOP draft, and agent context.
Privacy model
Often cloud-first sharing and hosting.
Local-first capture with optional cloud, team, and connector paths.

From screen recordings to SOPs, reports, and evals.

Find the spreadsheet, browser tab, or customer note you saw yesterday.

Draft SOPs from repeated customer support, finance, or operations work.

Build task-mining reports from actual screen-level workflows.

Create realistic computer-use agent eval cases from human runs.

Keep searchable meeting and desktop memory on your own machine.

Review what happened without asking people to manually document every step.

Task mining

Turn screen-level work into repeated-action reports and automation candidates.

Computer-use agents

Give desktop agents realistic workflow context before they act.

Security

Review local-first capture, deployment controls, and privacy assumptions.