HOLO::PATH

Image · GIF · Video → Hologram GIF

⬡ Source

Drop image / GIF / video or click to upload

preview

⬡ Holo Preset

Scan Lines 60%
Glow Intensity 70%
Flicker 40%
Glitch 30%
Noise / Static 25%
Color Shift 50%
Edge Detect 0%
Brightness 47%

Hue

⬡ Output

Frame Mode

Uses all source GIF frames with hologram on each


Frames 24
Speed (ms/frame) 80
Resolution

4 rotations for pyramid projectors

Upload an image or GIF to begin

Initializing...

What HoloPath Does

HoloPath turns an image, an animated GIF, or a short video into a holographic animation, then lays that animation out in the shape your display hardware expects. It exists because the hologram videos people were making for pyramid projectors were almost all built in expensive 3D software, and there was no simple way to take a photo you already had and project it.

Accepted inputs are JPG, PNG, WebP and BMP for stills, animated GIF, and MP4, WebM or MOV for video, up to 15 MB. Video frames are extracted at 10 fps and capped at 900 frames, which is a browser-memory limit rather than an arbitrary one — a few thousand full-resolution frames will exhaust a tab.

The Five Output Layouts

The layout is the part most hologram filters get wrong. An effect that looks holographic on a phone screen is useless if it isn't arranged correctly for the hardware reflecting it:

How the Effect Is Produced

Every frame runs through a thirteen-stage pipeline built on Canvas pixel manipulation: wobble, luminance extraction, edge detection, scan lines, chromatic aberration, glow, glitch, noise and the rest. Five presets — Classic, Cyberpunk, Ghost, Glitch and Matrix — are tuned starting points, and every individual parameter stays adjustable, with the preview re-rendering as you change it.

A still image has only one frame, so the animation comes from varying the effect parameters across the output frames instead: the scan line travels, the flicker phase advances, the glitch offsets move. A single photograph ends up looking like a live projection. An animated GIF keeps its own motion, with each source frame passed through the pipeline independently. The full pipeline is documented stage by stage →

What It Doesn't Do

This is a 2D effect renderer, not a 3D reconstruction. It does not build a model of your subject or generate views from angles the source never contained — a pyramid layout shows the same treated image on each face, which is exactly how the projectors are designed to work. It also won't rescue a low-resolution source: scan lines and edge detection reveal compression artefacts rather than hide them.

Everything runs in your browser. Your files are never uploaded, because there is no server to upload them to — the pipeline is JavaScript executing in your own tab, which is also why large videos are limited by your device's memory rather than by a plan tier.

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