Automate UI & QA Testing
Like Real Humans.
Modern SPAs, dynamic web forms, and desktop interfaces break under fragile synthetic scripts. NativeReplay delivers resilient end-to-end QA automation with autonomous visual element recognition, dynamic form filling, realistic human error handling, and authentic biological pacing.
Why Traditional Browser Drivers Fail UI & QA Testing
Headless automation libraries rely on fragile DOM injections and rigid XPath selectors. NativeReplay combines autonomous visual recognition with authentic human interaction physics to test real user journeys reliably.
| Evaluation Factor | Headless Scripts (Selenium / Playwright) | NativeReplay Engine |
|---|---|---|
Interaction & Input Realism | Simulated DOM value injections (.value = x) that fail to trigger complex event listeners or reactive states | Authentic human input flows with natural Gaussian pacing, biological pauses, and realistic typo corrections |
Element & Form Recognition | Fragile CSS and XPath selectors that break whenever DOM hierarchy, classes, or frameworks update | Autonomous visual element recognition, OCR text locators, and multimodal vision (Zero-XPath) |
Anti-Bot & Form Integrity | Triggers Cloudflare, Datadome, and Akamai blockers due to 0ms synthetic programmatic value dumps | Bypasses bot-detection naturally with authentic human typing cadence and Bézier mouse physics |
Universal UI & Flow Coverage | Fails on Canvas grids, Electron apps, Flutter, native OS confirmation dialogs, and multi-window journeys | Universal testing: Automates modern Web SPAs, desktop apps, WebGL canvas, and native OS dialogs |
Edge-Case Test Data | Requires maintaining rigid external CSV fixtures or hardcoded mock files for edge cases | On-demand Gemini 2.5 AI generation of internationalized, edge-case, and boundary test datasets |
Built for QA Engineers & Modern Dev Teams
Autonomous visual recognition, full form lifecycle verification, realistic human error simulation, and live server response auditing.
Autonomous Form Filling & Flow Automation
Automatically identifies form fields, input labels, dropdowns, and checkboxes across complex multi-step workflows. Fills dynamic test data without depending on fragile CSS or XPath selectors.
Visual Button & Component Recognition
Uses 2D pattern matching, OCR text locators, and Gemini multimodal vision to locate buttons, triggers, icons, and interactive elements across any screen resolution or UI theme.
Realistic Human Errors & Typo Corrections
Simulates authentic human pacing with Gaussian micro-jitter, natural hesitation pauses, realistic typo mistakes, and backspace corrections that accurately reflect real user behavior.
Element Presence & UI State Auditing
Continuously verifies whether critical website elements, confirmation modals, error banners, and success toasts actually render on screen before advancing to the next step.
Live Server & Network Status Auditing
Directly captures network transactions upon form submit. Validates HTTP response status codes (200 OK, 422 Unprocessable, 500 Error) and inspects JSON response payloads in real time.
Universal Multi-Platform QA Automation
Executes resilient end-to-end user journeys across web browsers, Electron desktop software, WebGL canvas apps, and native OS dialogs with seamless window switching.
Current Development Stage
NativeReplay is actively progressing through our phased engineering milestones. Here is our transparent live development status.
Core Human Simulation Engine
Production-ready OS-level input execution and biological human cadence simulation.
- Native Event Dispatch: Hardware key and mouse events without synthetic DOM injection.
- Gaussian Variance & Typo Logic: Authentic timing jitter and realistic typing cadence.
- Gemini 2.5 Flash Generator: Edge-case synthetic test payload generator on demand.
- Desktop Shell UI: Vite + React + TypeScript with collapsible sidebar & dark theme.
- Global Safety Triggers: F9 trigger execution & F10 emergency abort key listener.
Visual Recognition & Mouse Physics
Automating visual element detection, OCR button locators, and Bézier mouse paths.
- Native Screen Capture: Multi-monitor snapshot grabber with high-DPI coordinate scaling.
- 2D Template Matcher: Normalized Cross-Correlation (NCC) pattern locator engine.
- Tesseract OCR Locator: Bounding-box text finder for dynamic UI button and form labels.
- Bézier Mouse Physics: Smooth human mouse curves and S-curve velocity easing.
- Interactive Snipping Tool: Drag-to-crop visual target studio integrated directly in UI.
Autonomous Forms & CI/CD Runner
Standalone daemon engine with server response tracking, form loops, and CI/CD.
- Go Core Engine (nativereplay-core): High-throughput standalone daemon communicating via WebSocket.
- CDP Server Response Inspector: Captures HTTP status (200/400/500) and response bodies in real time.
- Autonomous Form Loops: Look → Move → Fill Form → Submit → Inspect network & verify state.
- Headless CI/CD Runner: Execute visual test suites in automated GitHub Actions pipelines.
Common Questions about NativeReplay
Everything you need to know about autonomous visual UI testing, Zero-XPath locators, and realistic human QA automation.