Screencap vs SKI: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Screencap and SKI — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Screencap
Proteus Computer Use
Local-first macOS screen recorder that captures, labels, and indexes team workflows so knowledge stays searchable and private.
Key features
- Local-First Capture: Recordings live in ~/.screencap on your Mac and never leave unless you explicitly share them.
- On-Device Task Segmentation: An on-device model breaks long recordings into labeled tasks like payroll runs, expense approvals, or CRM data entry.
- Full-Text Search of Workflows: Every spoken word and on-screen moment is indexed so any past workflow can be surfaced months later by search.
- Privacy-Enforced Recording: Password managers and banking apps are cut before a frame is written; email and chat are masked in real time.
- MCP Context Snapshots: While recording, Screencap queries connected MCP servers to capture the exact Gusto/Attio/Linear/Notion record on screen inside the video.
- Deliberate Sharing With PII Scrubbing: Every shared copy is scrubbed of names, secrets, and PII, and only the recordings you pick ever leave the machine.
- Source-Available Codebase: The full capture engine, encryption, agent, and anonymizer are public on GitHub under PolyForm Noncommercial 1.0.0.
Best for
- Team Onboarding: Assemble ordered collections of real workflow recordings so new teammates learn exactly how work is actually done.
- Institutional Knowledge Capture: Preserve the tacit steps behind payroll runs, reconciliations, and quarterly reports as searchable video.
- Ops Documentation: Replace stale wikis by pointing teammates at labeled task recordings that stay current with the real system.
- Compliance-Sensitive Recording: Capture back-office work in banking, finance, and HR without leaking passwords, account balances, or PII.
- Computer-Use Dataset Contribution: Optionally donate reviewed, scrubbed recordings to a public dataset for training open computer-use models.
SKI
agentcall.dev
A macOS and Windows voice assistant for AI coding agents. Talk to Claude Code, Cursor, Codex, Gemini CLI, or OpenClaw and hear them answer, fully on-device.
Key features
- On-Device Speech-To-Text: Local speech recognition runs on your machine so audio never leaves it, and the loop works offline.
- Neural Voice On-Device: A natural neural voice synthesizes replies locally, so you hear your agent respond in-line without cloud calls.
- Full-Duplex Echo Cancellation: Barge-in support lets you interrupt the agent mid-sentence and be heard cleanly.
- Multi-Agent Connectors: One-click integration with Claude Code, Cursor, Codex, Gemini CLI, and OpenClaw via a small skill each agent already understands.
- Approve-Before-Send Review Mode: Every transcript lands in an editable bubble first so nothing reaches the agent until you confirm.
- Meeting Transcriber: Captures meetings alongside coding sessions with the same on-device speech engine.
- Multi-Project Sessions and Agent Liveness: Handle multiple projects and see when the connected agent is actively listening or working.
- Global Hotkeys and Notch/Pill UI: Launch or mute with global hotkeys; docks into the Mac notch or a floating Windows pill.
Best for
- Voice-Driven Pair Programming: Talk to Claude Code, Cursor, or Codex while your hands are away from the keyboard.
- Hands-Busy Debugging: Ask your agent to run tests and read the failure back out loud instead of switching windows.
- Accessibility for Developers: Enable voice input and audio output for developers who prefer or need non-keyboard workflows.
- Private On-Device Coding: Work with confidential codebases where nothing spoken can be sent to a cloud STT service.
- Meeting + Coding Overlap: Transcribe standups and design meetings on the same on-device engine you use to talk to your agent.
- Live Demos and Screencasts: Build features by voice in front of an audience with a natural back-and-forth loop.