Open-source, local-first macOS workflow capture that turns reviewed screen interactions into structured AI training data.
Features
- Screen and interaction-context capture
- On-device task segmentation and search
- Sensitive-app blocking
- Content masking and human review
- Open source and local-first by default
Use Cases
- Agent training-data collection
- Team workflow research
- Operational task reproduction
- Human-computer interaction datasets
- Privacy-controlled work recording
FAQ
Screencap is an open-source, local-first macOS workflow capture tool that records screen activity, clicks, keystrokes, and window context, then segments and indexes tasks on-device. Users can block sensitive apps, mask content, and review or scrub recordings before sharing or contributing data. Core capabilities include: Screen and interaction-context capture, On-device task segmentation and search, Sensitive-app blocking.
Common scenarios include: Agent training-data collection, Team workflow research, Operational task reproduction.
