LeiaPix Converter

DepthFlow AI accepts a static image — portrait, landscape, AI art, or architectural photo — and runs it through an AI depth-estimation pass that separates foreground and background layers automatically. Users choose a camera motion style (dolly, orbit, zoom, horizontal, vertical, or circle), set amplitude and speed sliders, pick a video length, and the platform renders an MP4 ready for Instagram, TikTok, or YouTube. No account is required to try a sample; uploading your own image requires sign-up and triggers the free-tier watermarked result.

The differentiating feature is the depth-motion rendering stack, which the vendor describes as rebuilt from the original LeiaPix AI codebase to deliver higher-quality output. Six camera motion types and adjustable amplitude let creators go beyond a single parallax look — a slow orbit reads differently from a hard dolly push, which matters when you are matching motion to a soundtrack or platform format.

The tool fits content creators and photographers who need occasional 3D clips for social channels and do not want to learn Blender or After Effects. It breaks as a production tool when you need watermark-free output at scale: the free plan covers one watermarked result, additional credits and clean exports require a paid plan, and nothing in the current docs describes bulk export or queue-based processing. Teams with high-volume needs will hit the per-credit model and start looking at dedicated video pipelines or self-hosted depth-estimation libraries.

An API is available, which the vendor lists but does not detail on the public-facing page — meaning developers who want to automate the upload-render-download cycle will need to probe the API docs separately. Self-hosting is not offered; all processing happens on the vendor’s infrastructure.