franciscouzo.github.io

The Maze Generator on Franciscouzo is a browser-based tool that programmatically creates maze images, sitting alongside the site's other generative experiments like the Ishihara Plate Generator, Hybrid Images, Genetic Art, and Voronoi Images. You use it by opening the page and letting the tool render a maze for you; the exact controls depend on what the tool exposes, so treat any size or style settings as something to check on the page itself rather than assume.

What the tool produces

Based on the site's structure, the Maze Generator belongs to a collection of visual generators that each output an image from an algorithm. For mazes, that means:

• A grid-based maze rendered as an image in the browser
• Walls and passages generated by code rather than drawn by hand
• A result you can typically save or screenshot for reuse

Because the generator runs client-side, there is no sign-up step implied by the page evidence — but the source material does not state login or pricing terms, so don't assume either way.

How to use it

1. Open the Franciscouzo site and locate the Maze Generator entry in the tool list.
2. Open the generator page.
3. Trigger the generation (usually a button or an automatic render on load).
4. Adjust any available options if the page presents them.
5. Save or capture the resulting maze image.

The expected result is a finished maze image you can use directly. If the page offers no visible controls, the maze is likely generated with fixed or randomized defaults each time you load it.

What it's useful for

• Puzzles and games: generate maze layouts for print or digital play
• Design experiments: use procedural mazes as textures, backgrounds, or pattern sources
• Learning: see how a simple algorithm turns rules into a solvable structure

Common snags

• No visible settings: some generators on this kind of site run with fixed parameters, so you may only get a new result by reloading.
• Resolution limits: browser-rendered images can be small; if you need a large print, check whether the tool offers a size option before assuming it does.
• Saving the output: if there's no download button, a screenshot is the fallback.

Where it fits on the site

The Maze Generator is one of several generative tools on Franciscouzo, which also includes an Ishihara Plate Generator, Hybrid Images, Genetic Art, Voronoi Images, a Couzo Puzzle, color sorting visualization, slit scan, fractals, chaotic map, chaos game, dithering, metaballs, sandpile, random art, and doodles. If you want maze-like output specifically, this is the entry to use; for color-vision test plates or image blending, the other tools cover those jobs.

Franciscouzo (franciscouzo.github.io) is a personal collection of browser-based experiments: generators, image effects, puzzles, and math visualizations. The page lists the projects by name only, so the groupings below are inferred from those names rather than from documentation. Treat everything here as a creative coding demo rather than a commercial product — there are no pricing or account signals on the page.

Image and photo effects

These take an image as input and transform or re-render it:

• Ishihara Plate Generator — builds the dot-pattern plates used in color-vision tests.
• Hybrid Images — blends two images so one reads at close range and the other from far away.
• Slit scan — the stretched, time-smear effect made famous by scanner photography.
• Dithering — reduces an image to a limited palette using dot patterns.
• Image colors — works with the color content of an image.

Generative and random art

• Genetic Art — evolves images through selection rather than drawing them directly.
• Voronoi Images — renders images as Voronoi cells.
• Random Art — procedurally generated images with no fixed target.
• Doodles — simple generative drawing.

Puzzles

• Maze Generator — produces mazes, typically with a solver or pathfinding demo attached.
• Couzo Puzzle — a puzzle named after the site's author.

Math and chaos visualizations

• Fractals — self-similar structures rendered from iterative formulas.
• Chaotic Map — plots the behavior of a chaotic iterated function.
• Chaos Game — the random-point algorithm that converges on fractals such as the Sierpinski triangle.
• Metaballs — blobby shapes from summed distance fields.
• Sandpile — the abelian sandpile model, where grains topple once a cell passes a threshold.
• Sorting visualization — animates sorting algorithms step by step.
• Favisnake — a snake-like interactive toy.

How to use them

Each project is a separate page under the same host. Open the one you want, adjust whatever controls it exposes, and the result renders in the browser — no install, no build step. The page itself gives no instructions, so expect to learn each tool by experimenting.

Two practical notes:

• Input requirements vary. Image-based tools (Ishihara, Hybrid Images, Dithering, Slit scan) need a source image; the math and generative tools run on their own.
• Performance depends on your device. Fractals, metaballs, and sandpile simulations do real computation per frame, so they can slow down on weaker hardware or at large canvas sizes.

If you only want one thing from the site, pick by goal: image manipulation → the effects group; a puzzle to solve → Maze or Couzo; something to watch run → sorting, chaos, or sandpile.

Genetic Art and Voronoi Images are two browser-based generative art experiments on franciscouzo.github.io. Genetic Art produces images through an evolutionary process, while Voronoi Images generates patterns from Voronoi diagrams. Both sit alongside other visual and mathematical toys on the same site, including an Ishihara Plate Generator, Maze Generator, Hybrid Images, Couzo Puzzle, Image colors, Sorting visualization, Slit scan, Fractals, Chaotic Map, Chaos Game, Dithering, Metaballs, Sandpile, Random Art, and Doodles. If you want to understand what these two tools do before opening them, the sections below cover the mechanism behind each and how they fit into the wider collection.

Genetic Art: images shaped by an evolutionary loop

Genetic Art applies the logic of evolutionary algorithms to image-making. Instead of drawing a picture directly, the process starts from a population of candidate images, evaluates them against some fitness criterion, and then combines or mutates the survivors to produce the next generation. Repeating this cycle pushes the output toward whatever the selection pressure rewards.

The practical consequence for a visitor is that the final image is not fully authored in advance. It emerges from repeated rounds of variation and selection, which is why the results tend to look organic, irregular, or unexpected rather than cleanly designed.

What to expect when you open it

• The output is generated, not hand-drawn, so each run can differ.
• The visual character depends on the selection and mutation rules rather than on a fixed template.
• It belongs to the same family of experiments as Fractals, Chaotic Map, and Chaos Game, all of which explore how simple rules produce complex visuals.

Voronoi Images: patterns built from Voronoi diagrams

Voronoi Images takes a different route. It is based on the Voronoi diagram, a way of dividing a plane into regions around a set of points. Every location in a region is closer to its own point than to any other point in the set. Rendering those regions produces the characteristic cellular, mosaic-like look associated with Voronoi patterns.

Because the pattern is defined by the positions of the points, changing the point layout changes the entire image. That makes Voronoi Images a way to explore how spatial arrangement alone can generate structure, without any drawing in the traditional sense.

Where it fits in the collection

Voronoi Images sits next to Dithering, Metaballs, and Sandpile as a tool for producing texture and pattern from a mathematical rule. It is a generative experiment in the same sense as Genetic Art, but the underlying mechanism is geometric rather than evolutionary.

How the two compare

Both are browser-based, and both are part of a larger set of visual and mathematical toys rather than standalone products.

Why they are grouped together

Genetic Art and Voronoi Images share a common idea: a simple underlying rule, applied repeatedly, produces something visually complex. One rule is evolutionary, the other geometric, but the appeal is the same — you set the process in motion and see what comes out. That is also what links them to the rest of the collection, from the Maze Generator to the Ishihara Plate Generator.

If your interest is in how images can be generated rather than drawn, these two are a natural pair to explore side by side.

Franciscouzo is a personal project site that hosts a collection of browser-based visual and generative art experiments. If you want to see what kinds of interactive graphics, image generators, and algorithmic visualizations exist on the site — and decide whether it's worth exploring — the page itself lists the projects directly, with no account or download implied.

What the site is

It is not a product, service, or company. It is a single page that acts as an index of small creative coding projects, each one a self-contained experiment you can open and interact with in a browser.

The page presents these as a flat list of project names rather than a structured catalog, so the fastest way to understand the site is to read that list and open whichever names interest you.

Projects listed on the page

The page evidence shows the following entries:

The exact behavior of each project is not described on the page beyond its name, so treat the table as a guide to what to click, not a specification.

Who it's for

• Curious visitors who want quick, no-setup visual toys.
• Students or teachers looking for live demonstrations of fractals, chaos, sorting, or dithering.
• Creative coders who want to see compact implementations of generative techniques.
• Anyone comparing generative art tools who wants examples rather than documentation.

What to expect when you visit

• Everything runs in the browser; the page is a list of links, not a gallery with previews.
• There is no stated pricing, login, or download requirement on the page.
• Projects are independent, so quality, controls, and polish will vary from one to the next.
• Names are the only description, so some clicking is required to find what you want.

How to use it

1. Open the site and scan the project list.
2. Pick a name that matches your interest — for example, Sorting visualization if you want to watch algorithms run, or Fractals if you want rendered geometry.
3. Open it and interact; most experiments of this kind respond to mouse input, sliders, or a regenerate button.
4. If a project has no visible controls, try clicking, dragging, or refreshing to get a new result.

Common snags

• No previews or descriptions. You can't tell what a project does until you open it, so budget a few clicks of exploration.
• Uneven scope. Some entries are full tools; others are quick sketches.
• Naming ambiguity. "Favisnake" and "Couzo Puzzle" don't explain themselves — open them to find out.
• No stated license or source terms on the page. If you plan to reuse anything, check the individual project rather than assuming.

The Ishihara Plate Generator on franciscouzo.github.io is a browser-based tool for creating Ishihara-style color plates — the dotted circles most people recognize from color vision tests. It is best understood as a generator for making or exploring that visual format, useful for demonstration, design, and experimentation. It is not described on the site as a medical diagnostic tool, so it should not be treated as one.

What the tool does

Ishihara plates work by hiding a shape or number inside a field of dots that vary in hue and brightness. People with different color perception pick out different figures, or none at all.

The generator applies that same visual structure: you produce a plate made of dots, with a hidden figure embedded through color variation. The site lists it simply as Ishihara Plate Generator among a collection of other browser experiments, with no further documentation on the page.

Who it is for

• Designers and illustrators who want an authentic-looking color plate as a visual asset.
• Teachers and presenters explaining how color vision tests are structured.
• Developers and hobbyists curious about how the dot pattern and hidden figure are constructed.
• Anyone exploring the Franciscouzo collection of small generative tools.

If your goal is to check whether you or someone else has a color vision deficiency, this is the wrong tool. A real assessment requires controlled lighting, standardized plates, and interpretation by a qualified professional.

What to expect when you use it

The page gives no instructions, settings list, or output format, so the practical details are not documented in the available material. Based on the name and the surrounding collection, the likely workflow is:

1. Open the generator in a browser.
2. Adjust whatever parameters the tool exposes to shape the plate.
3. View or save the resulting image.

Treat any specific controls as something to discover on the page itself rather than something confirmed in advance.

Where it fits in the Franciscouzo collection

The Ishihara Plate Generator sits alongside other generative and visual tools on the same site, including a Maze Generator, Hybrid Images, Genetic Art, Voronoi Images, Fractals, Dithering, Metaballs, and a Sandpile simulation. The pattern across the collection is small, self-contained browser experiments rather than a single integrated application.

That context matters for expectations: these are individual creative tools, not a suite with shared accounts, saved projects, or documentation.

Limits worth knowing

• No stated medical use. Nothing in the available site material frames it as a diagnostic instrument.
• No stated pricing or login requirements. The material does not mention cost or accounts, so do not assume either way.
• No documented parameters. The page lists the tool by name only, so feature specifics are unverified.

If you need a plate for a project, demonstration, or curiosity about the format, the generator is a reasonable starting point. If you need a clinical result, use a proper optometric assessment instead.