Landing Copy Grader

Web appFree
Open parweb.github.io/landing-copy-grader

What it does

An offline diagnostic tool for measuring the synthetic quality of landing page text.

Why it's useful

Landing Copy Grader performs a deterministic analysis on text input to estimate the likelihood of AI-generated content. It operates entirely offline, removing the need for server-side processing or external API calls. This architectural choice addresses concerns regarding data privacy and latency in creative workflows.

Key features

  • —Offline-first text analysis
  • —Deterministic scoring methodology
  • —Client-side processing architecture
  • —Landing page copy evaluation

FAQ

It uses a deterministic, offline process to evaluate the linguistic patterns within the submitted copy.

No, the analysis is performed entirely within the client environment.