Claude Eye

Why it's ranked here

Claude Eye targets a real gap between noticing a visual timing flaw and locating it precisely. Timestamped observations and opacity comparisons make recordings more actionable. The narrow detection rule and lossy JSON output keep it from being a complete animation debugger, but the Markdown report remains useful.

What's good

The workflow is easy to understand: record, analyze, inspect timestamps. Time-range controls can constrain work to the faulty sequence, while custom context tells the vision model what matters. Reports combine a summary, timeline, transition points, desynchronization details, observations, and suggested CSS checks.

Tradeoffs

Every sampled image triggers a separate model request in sequence, so higher sampling frequency means more remote analysis. Detection only flags frames mixing visible and transitioning elements when opacity spread exceeds 40 percentage points. Reports show at most five element columns, and the JSON export loses element-map contents during serialization.

How to use it well

It suits frontend engineers debugging a reproducible animation sequence after visual inspection reveals bad timing. Record a short clip, isolate the relevant seconds, provide specific context, then use the Markdown timestamps beside browser tools and source code. It does not inspect CSS, runtime events, or animation triggers directly.

Observed

License

MIT

Primary language

TypeScript

Install surface

npm package with an executable CLI binary; the README also documents cloning, npm install, and npm run build

Interface

Command-line interface with a single analyze command

Runtime requirements

Node.js 18 or newer, FFmpeg and ffprobe, plus a Claude Eye API key environment variable

Outputs

Markdown report, JSON analysis, and extracted PNG frames