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Converts screenshots, PDFs, and slides into editable Figma, PowerPoint, or Canva designs and turns Figma layouts into code.
Open-source framework for automated end-to-end UI testing of mobile and web apps, with a paid cloud for parallel device runs.
One-click bug-reporting tool that auto-captures console, network logs and repro steps for developers.
Vibe-coding builder creating full-stack apps by chatting with AI.
AI web-app and API vulnerability scanner with real traffic; solid security tool.
No public pricing
Free trial available
Free trial available
No public pricing
- ✦Screenshot-to-editable-design conversion
- ✦NoteSlide: PDF and image slides to editable PowerPoint or Keynote
- ✦Figma-to-code generation
- ✦Image-to-vector/SVG and PSD/web-to-Figma import
- ✦Visual Struct API for developers
- ✦Codia AI Vision layout and typography reconstruction
- ✦Human-readable YAML test flows
- ✦Local CLI and Studio testing for free
- ✦Open-source, CI-friendly design
- ✦Cloud device farm for parallel runs
- ✦AI-agent integration through MCP
- ✦Self-healing tests with local agents
- ✦One-click bug capture via browser extension
- ✦Automatic repro steps
- ✦Console, network and device logs
- ✦Instant replay of recent activity
- ✦Backend tracing and an AI debugger
- ✦Integrations with Jira, Linear, GitHub and Slack
- ✦CodeFlying enables full-stack app creation via chat in minutes
- ✦DAST for Web Apps and APIs
- ✦Automated Penetration Testing
- ✦AI-Driven Remediation Reports
- ✦Compliance-Ready Security
- ✦Sensitive Data Exposure Detection
- ✦Real-Time Vulnerability Detection
- →Rebuild UI screenshots into editable Figma layers
- →Turn NotebookLM PDFs into editable decks
- →Convert images and posters into reusable design assets
- →Move designs between Figma and Canva
- →Extract layout structure via API
- →Automate mobile app UI regression tests
- →Run tests in parallel across many devices
- →Integrate UI testing into CI pipelines
- →Let AI agents generate and run app tests
- →Filing detailed bug reports
- →Reproducing issues faster in QA
- →Sharing debug context with engineers
- →Triaging support bug reports
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- →Identifying vulnerabilities in web applications and APIs
- →Automating penetration testing processes
- →Generating AI-powered remediation reports
- →Ensuring compliance with security standards
- →Detecting sensitive data exposure
- →Securing SaaS growth
- →Simplifying client security for MSSPs
- →Meeting compliance standards for regulated industries