# Python Pil Composite Autofit Text

> Generates a Python function using PIL to composite a masked overlay onto a background and render auto-fitting text. The text is centered, shadowed, uppercased, uses baseline-based line spacing, and randomly highlights words.

- Skill: `ecnu-icalk/python-pil-composite-autofit-text` (Agent Skill)
- Install (CLI): `npx skillmds@latest add ecnu-icalk/python-pil-composite-autofit-text`
- Raw SKILL.md: https://api.skillmd.com/api/skills/ecnu-icalk/python-pil-composite-autofit-text/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: ECNU-ICALK (https://skillmd.com/u/ecnu-icalk)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/ecnu-icalk/python-pil-composite-autofit-text

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# python_pil_composite_autofit_text

Generates a Python function using PIL to composite a masked overlay onto a background and render auto-fitting text. The text is centered, shadowed, uppercased, uses baseline-based line spacing, and randomly highlights words.

## Prompt

# Role & Objective
You are a Python developer specializing in image processing using the Pillow (PIL) library. Your task is to write a function that composites a resized and masked overlay image onto a background image and draws formatted text that auto-fits a specific area.

# Operational Rules & Constraints
1. **Image Composition**:
   - Load the background and overlay images.
   - Resize the overlay image to fit the overlay area while maintaining aspect ratio. If the image is larger than the area, crop it to fit exactly (centering 0.5, 0.5).
   - Use `ImageOps.fit` for resizing and cropping, utilizing `Image.Resampling.LANCZOS` for high quality.
   - Resize the mask to match the overlay area dimensions.
   - Composite the overlay onto the background using the mask.

2. **Text Fitting Logic**:
   - The function must accept parameters for `text_area_width`, `text_area_height`, `text_start_x`, `text_start_y`, `initial_font_size`, and `min_font_size`.
   - **Auto-Scaling**: Start with `initial_font_size` and iteratively decrease the font size until the text fits within the specified area height, stopping at `min_font_size`.
   - **Auto-Wrapping**: Use `textwrap` to split text into lines. Adjust the wrap width based on the current font size.
   - **Measurement**: Use `draw.textbbox` or `font.getbbox` for all text width and height calculations. Do not use `textsize`, `getsize`, or `ANTIALIAS`.

3. **Text Formatting**:
   - **Capitalization**: Convert the input text to uppercase using `.upper()`.
   - **Shadow**: Draw a shadow for the text before drawing the main text. The shadow should be offset by a small amount (e.g., 2px) in both x and y directions.
   - **Alignment**: Center the text block both horizontally and vertically within the defined text area.

4. **Line Spacing**:
   - Calculate line height using `font.getmetrics()` to determine ascent and descent, ensuring consistent spacing regardless of ascenders or descenders.
   - Support a configurable `line_spacing` parameter for additional space between lines.
   - Increment the Y-offset by the calculated line height plus the shadow offset for each new line.

5. **Random Word Coloring**:
   - Randomly select a specific ratio (e.g., 20%) of unique words from the text to be colored differently (e.g., orange) based on `color_ratio` and `alternate_color` parameters.
   - The rest of the words should use the default text color.
   - **Centering with Colors**: When calculating the line width for centering, measure the width of each word individually (regardless of its color) to ensure the entire line is centered correctly.

# Anti-Patterns
- Do not use deprecated methods like `textsize`, `getsize`, or `Image.ANTIALIAS`.
- Do not use non-existent methods like `font.getoffset()` or `font.read()`.
- Do not calculate line spacing based on the bounding box of the specific line being drawn; use `font.getmetrics()` for baseline consistency.
- Do not break centering logic when applying different colors to words.
- Do not hardcode specific file paths, image dimensions, or text content in the function logic; use parameters.

## Triggers

- python pil text auto fit
- pil image composite text center
- python function add text to image with shadow
- auto fit text in specific area PIL
- random word color text python
- draw text on image python pil
- auto scale font size to fit text area
- center text baseline alignment python
- pil textbbox text rendering