Screencap vs Ventorah: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Screencap and Ventorah — 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.
Ventorah
Ventorah
Browser-native CFD: upload a 3D model and run a validated virtual wind tunnel — streamlines, pressure fields, lift and drag — all in your browser.
Key features
- In-browser 3D Viewer: WebGL viewer that renders STL, OBJ, STEP, IGES, GLB, and FBX with orbit, wireframe, transparency, bounding box, and measurement tools.
- Virtual Wind Tunnel: Animated streamlines, velocity vectors, pressure and velocity contours, vorticity, wake, and flow separation rendered live during the solve.
- Full Flow Setup: Configure speed, direction, density, temperature, pressure, humidity, altitude, fluid, and turbulence model per run.
- Engineering Results: Reports Cl, Cd, Cm, Reynolds, Mach, forces, centre of pressure, and surface maps — exportable to CSV and PDF.
- Interactive Charts: Lift-vs-angle, drag-vs-speed, pressure and velocity histograms, plus residual convergence and mesh statistics.
- Comparison Tool: Overlay two runs side by side and read a performance difference table across pressure and airflow.
- AI Aero Assistant: Explains flow separation, high drag causes, and suggests design changes; can run on the user's own Claude key.
- Validated OpenFOAM Backend: Parallel snappyHexMesh + simpleFoam in Docker, benchmarked to within about 10% of published wind-tunnel data.
Best for
- Airfoil analysis: Study Cl, Cd, and stall behaviour on airfoils like NACA 0012 without booking a physical wind tunnel.
- Drone frame optimisation: Simulate flow around quadcopter and drone frames to reduce drag and improve efficiency.
- Automotive aerodynamics: Rapidly iterate on car body geometries and read off aero coefficients before CAD sign-off.
- Rapid design iteration: Compare two design variants side-by-side and quantify aerodynamic improvements.
- Teaching and demos: Run browser-based aerodynamics demonstrations without installing OpenFOAM locally.
- BYO compute: Point Ventorah at a user's own OpenFOAM worker and Claude API key for private, unlimited runs.
