pictex 2.2.0

A Python library for efficient image generation using CSS Flexbox.

PicTex

Programmatically generate high-quality images using standard CSS Flexbox layouts. Powered by Skia, Taffy and HarfBuzz.

A Python library for efficient image generation using CSS Flexbox. Build complex layouts using familiar web standards, such as justify-content, align-items, flex-grow, then render them as high-quality PNG, JPEG, WebP, or SVG. Perfect for Open Graph, social media graphics, video thumbnails, data visualizations, and automated report generation. Browser-grade layouts without the browser overhead

Features

• CSS Flexbox Layout: Built on industry-standard CSS Flexbox principles with near-complete property support. If you know CSS, you know PicTex. See the CSS Flexbox Compliance table below. Powered by Taffy layout engine (via stretchable).
• Component-Based Design: Compose complex visuals by nesting powerful layout primitives like Row, Column, and Image.
• Rich Styling: Gradients, multiple shadows, borders with rounded corners, and text decorations.
• Advanced Typography: Custom fonts, variable fonts, line height, alignment, and professional text shaping using HarfBuzz for kerning, ligatures, and complex scripts.
• Automatic Font Fallback: Seamlessly render emojis and multilingual text.
• Bidirectional Text (BiDi): Automatic Unicode BiDi algorithm for proper LTR/RTL mixed text rendering.
• Flexible Output:
  • Raster: Save as PNG/JPEG/WebP, or convert to NumPy/Pillow.
  • Vector: Export to a clean, scalable SVG file with font embedding.
• High-Quality Rendering: Powered by Google's Skia graphics engine (via skia-python).

[!IMPORTANT] Upgrading from v1.x? PicTex v2.0 introduces significant changes to the layout and positioning system. Please read the Migration Guide to update your code.

Installation

It is highly recommended to install PicTex in a virtual environment to avoid conflicts with system-wide packages and potential permission issues on certain operating systems like Windows.

# 1. Create and activate a virtual environment
python -m venv .venv

# On Windows:
.\.venv\Scripts\activate

# On macOS/Linux:
# source .venv/bin/activate

# 2. Install PicTex into the active environment
pip install pictex

Quickstart

Styled text image

Creating a stylized text image is as simple as building a Canvas and calling .render().

from pictex import Canvas, Shadow, LinearGradient

# 1. Create a style template using the fluent API
canvas = (
    Canvas()
    .font_family("Poppins-Bold.ttf")
    .font_size(60)
    .color("white")
    .padding(20)
    .background_color(LinearGradient(["#2C3E50", "#FD746C"]))
    .border_radius(10)
    .text_shadows(Shadow(offset=(2, 2), blur_radius=3, color="black"))
)

# 2. Render some text using the template
image = canvas.render("Hello, World! 🎨✨")

# 3. Save or show the result
image.save("hello.png")

Composed elements

Compose elements like Row, Column, and Text to build complex visuals. PicTex's fluent API makes styling declarative and intuitive.

from pictex import *

# 1. Build your visual components
avatar = (
    Image("avatar.png")
    .border_radius("50%")
    .background_color("silver")
    .border(3, "white")
    .box_shadows(Shadow(offset=(2, 2), blur_radius=5, color="black"))
)

user_info = Column(
    Text("Alex Doe").font_size(24).font_weight(700).color("#184e77"),
    Text("Graphic Designer").color("#edf6f9").text_shadows(Shadow(offset=(1, 1), blur_radius=1, color="black")),
).align_items("center").gap(4)

# 2. Compose them in a layout container
card = (
    Column(avatar, user_info)
    .background_color(LinearGradient(["#d9ed92", "#52b69a"]))
    .border_radius(20)
    .padding(30)
    .align_items("center")
    .gap(20)
)

# 3. Render and save the final image
canvas = Canvas().font_family("NataSans.ttf")
image = canvas.render(card)
image.save("profile_card.png")

More Examples

Preview	Description
	GitHub Repository Card Generate beautiful cards for any GitHub repo. Just change the repo name and it fetches real data from the API. View Code »
	Tweet to Image Recreate the look and feel of a tweet, perfect for sharing on other social platforms. View Code »
	Data Table Generate a clean, styled table from a 2D list. Includes headers, zebra-striping, and shadows. View Code »
	Code Snippet Create beautifully syntax-highlighted images of your code snippets for tutorials or social media. View Code »

Check out the full examples directory for more!

CSS Flexbox Compliance

PicTex v2.0 implements CSS Flexbox layout with high fidelity. If you're familiar with CSS, you'll feel right at home. Here's our compliance status:

Container Properties

CSS Property	Status	PicTex Method	Notes
display: flex	✅	Row() / Column()	Implicit in layout containers
flex-direction	✅	Row() / Column()	Row = row, Column = column
flex-wrap	✅	.flex_wrap()	nowrap, wrap, wrap-reverse
flex-flow	⚠️	N/A	Shorthand for flex-direction + flex-wrap
justify-content	✅	.justify_content()	All standard values supported
align-items	✅	.align_items()	All standard values supported
align-content	⚠️	Not yet	Planned for multi-line flex containers
gap	✅	.gap()	Unified gap (not split into row-gap/column-gap)
direction	✅	.direction()	Supports ltr and rtl with inheritance

Item Properties

CSS Property	Status	PicTex Method	Notes
flex	⚠️	N/A	Shorthand for flex-grow + flex-shrink + flex-basis
flex-grow	✅	.flex_grow()	Control growth behavior
flex-shrink	✅	.flex_shrink()	Control shrink behavior
flex-basis	⚠️	Not yet	Can use .size() as alternative
align-self	✅	.align_self()	Override container alignment
order	❌	Not planned	Less relevant for static image generation

Positioning & Sizing

CSS Property	Status	PicTex Method	Notes
position	✅	.absolute_position() / .relative_position()	Full CSS positioning support
top / right / bottom / left	✅	.absolute_position(top=, right=, ...)	CSS insets
width / height	✅	.size()	Pixels, percentages, auto, fit-content
min-width / max-width	✅	.min_width() / .max_width()	Prevent collapse/overflow
min-height / max-height	✅	.min_height() / .max_height()	Prevent collapse/overflow
aspect-ratio	✅	.aspect_ratio()	Maintain proportions
transform: translate()	✅	.translate()	Post-layout transforms

Legend: ✅ Fully supported | ⚠️ Planned | ❌ Not planned

This compliance makes PicTex an excellent choice for developers who want to apply their CSS knowledge to generate images programmatically.

📚 Dive Deeper

For a complete guide on all features, from layout and the box model to advanced styling, check out our full documentation:

• Getting Started
• Core Concepts
• Styling Guide: The Box Model
• Styling Guide: Colors & Gradients
• Styling Guide: Text & Fonts

Troubleshooting

Text rendering issues on Windows (missing ligatures, incorrect text shaping)

Symptom: You may notice that advanced typography features, such as font ligatures or complex scripts, do not render correctly on Windows.

Cause: This is typically caused by an incomplete installation of the skia-python dependency, where a crucial data file (icudtl.dat) required for advanced text shaping is missing. This often happens when pip installs the package in a user-level directory without administrator privileges.

Solutions:

1. (Recommended) Reinstall in a Virtual Environment: This is the safest and most reliable method to ensure a correct installation. A virtual environment does not require administrator rights and provides a clean slate.

   # If already installed, uninstall first
   pip uninstall pictex skia-python
   
   # Create and activate a new virtual environment (see installation section)
   python -m venv .venv
   .\.venv\Scripts\activate
   
   # Install PicTex again
   pip install pictex
   

2. Reinstall with Administrator Privileges: If you cannot use a virtual environment, running the installation from a terminal with administrator rights will allow pip to install the package correctly.

   # Open PowerShell or Command Prompt as an Administrator
   pip install --force-reinstall pictex
   

Contributing

Contributions, issues, and feature requests are welcome! Feel free to check the issues page.

Running tests locally (matching CI environment)

docker build -f Dockerfile.test -t pictex-test .
docker run --rm -v "$(pwd):/app" pictex-test pytest

License

This project is licensed under the MIT License - see the LICENSE file for details.