achieving-lottie-parity

Lottie rendering mismatches after conversion are diagnosed by comparing the source JSON, reference players like thorvg and lottie-web canvas, and converted CSS to classify discrepancies as converter defects, player bugs, or deliberate skips. Apply established fix patterns, update serializers, and verify with regression tests and corpus standards.

Popkorn output missing gradients or opacity compared to the original Lottie often stems from converter defects, missing DSL properties, or target gaps. Conduct source-JSON analysis and use conversion validation and feature inventories to isolate the responsible layer and implement the smallest consistent fix.

The best way to debug lottie2popkorn conversion bugs is measurement-driven debugging using frame-accurate harness comparisons and sampled motion curves. Compare against reference players, preserve warnings, write focused regression tests, and update serializers and documentation to ensure animation parity.

To verify Lottie parity fixes and avoid regressions, use frame-accurate harness comparisons and isolation experiments to confirm the correction. Preserve existing warnings, write focused regression tests, update the serializer, and honestly report verification evidence from corpus or browser testing.

A Lottie rendering discrepancy should be treated as a deliberate feature skip rather than a bug when systematic triage against thorvg and lottie-web confirms the missing property is a documented limitation or target gap. Preserve warnings in the output and update documentation to reflect the intentional skip.