letter-art 0.2.2

Convert images into ASCII art in Python

letter-art

Convert images into ASCII art with adjustable resolution and output format.

A simple and fun Python library to turn your images into terminal-ready retro text art.

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Example

Original Image

![Original]()

Converted ASCII Art (screenshot)

![ASCII_Art]()

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Installation

pip install letter-art

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Features

• Convert any image to ASCII text art
• Customizable width, height, and character aspect ratio
• Choose to print the result or save it as a .txt / .html file
• CLI (Command Line Interface) support
• Minimal dependencies (Pillow only)

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Quick Start (in Python)

from letter_art.converter import convert_image_to_ascii

# Basic usage: print to terminal
convert_image_to_ascii("sample.jpg", width=100, height=50, output="print")

# Save to a file
convert_image_to_ascii(
    image_path="sample.jpg",
    width=120,
    height=60,
    output="file",
    output_path="ascii_output.txt",
    output_format="txt"  # or "html"
)

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Parameters

Parameter	Type	Default	Description
image_path	str	(required)	Path to the input image
width	int	100	Width of the ASCII art (in characters)
height	int	calculated	Height (optional). Auto-calculated if not provided
output	str	"print"	"print" for terminal output, "file" to save
output_path	str	auto-named	Path to output file if output="file"
output_format	str	"txt"	"txt" or "html" output format
height_scale	float	0.6	Vertical scale adjustment for character aspect ratio

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CLI Usage

After installation, you can run it directly from the terminal using:

letter-art --image sample.jpg --width 150 --output file --format html

CLI Options

Option	Description
--image	Input image path (required)
--width	Width in characters (default: 300)
--height	Optional height
--output	"print" or "file"
--output_path	File path to save output (optional)
--format	"txt" or "html"
--scale	Vertical scaling factor (default 0.6)

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Example CLI Output

$ letter-art --image test.jpg --width 200 --output file --format txt
✔ ASCII art saved to test.txt

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Recommended Images

• High-contrast images
• Logos, icons, or face portraits
• Grayscale-friendly content

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License

MIT License

(c) 2025 gwondoo