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Lottie Animation Previewer

Lottie

Preview, test, and adjust playback speeds of Lottie animations safely in your browser.

100% Sandbox Execution: All canvas rendering, MediaRecorder VP9 video stream encoding, and GIF frame packaging execute entirely inside your local browser memory. No animation files or video streams are transmitted to any remote server.

Drag and drop Lottie JSON file, or browse

Supports standard .json Lottie files

Or Paste JSON Payload

Canvas Render Output

Hardware-accelerated HTML5 Canvas renderer - captures directly into video streams.

Upload or paste a Lottie file

About Lottie Animation Previewer

The Lottie Animation Previewer is a professional, client-side utility built to perform high-fidelity conversions and data manipulations directly on your device. Powered by next-gen browser technologies like lottie-web HTML5 Canvas renderer, browser-native MediaRecorder VP9 video stream encoder, gif.js GIF WebWorker frame packaging arrays, and HTML5 Canvas Context2D direct pixel-capture APIs, the tool achieves lightning-fast processing speeds without needing a remote cloud backend. Preview, test, and adjust playback speeds of Lottie animations safely in your browser.

Our Lottie Animation Previewer operates by reading your files or text inputs as raw byte buffers inside browser runtime scope. Rather than uploading payloads to a remote host, the application parses the structure in client-side memory. Specifically, it binds lottie-web to an HTML5 Canvas render target (forced canvas mode) instead of SVG vector streams, enabling direct pixel-level capture for all export pipelines: the MediaRecorder API hooks into canvas.captureStream(fps) for serverless WebM/MP4 video recording, gif.js WebWorker threads handle GIF frame packaging arrays for animated GIF compilation, and canvas.toBlob() snapshots individual frames as PNG, APNG pack, or WebP sequence ZIP archives - all with zero server processing overhead. This setup guarantees instant feedback, high-performance execution, and robust support for large file queues.

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