img2ascii-py 1.1.0

A Python library and CLI tool to convert images to ASCII art and pixel-perfect HTML/SVG.

img2ascii-py

A high-performance Python library and command-line (CLI) utility that converts images into beautiful, styled ASCII art or pixel-exact HTML/CSS output.

Built with performance in mind using fully vectorized NumPy operations, img2ascii-py generates highly optimized terminal ANSI truecolor prints and run-length compressed HTML web pages.

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Features

• Vectorized Core: Color pre-processing (gamma, brightness, contrast) and block downsampling are fully vectorized using NumPy.
• Terminal Truecolor: Output ASCII art in 24-bit ANSI colors with a state-machine that minimizes escape-sequence overhead.
• Pixel-Exact HTML: Render pixel-art pages utilizing Run-Length Encoding (RLE) to bundle matching color spans and optimize filesize.
• Curated Preset Ramps: Includes preset charsets:
  • standard: .:-=+*#%@
  • detailed: $@B%8&WM#*oahkbdpqwmZO0QLCJUYXzcvunxrjft/\|()1{}[]?-_+~<>i! lI;:,"^'. `
  • blocks: ░▒▓█
  • binary: #
  • minimal: .o0@
  • Custom: Pass any string directly as your ramp!
• Smart Image Handling: Automatically transposes images based on EXIF rotation tags and handles transparent PNG alpha channels gracefully.
• Full Stream Piping: Pipe binary image streams directly into the CLI via stdin.

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Installation

Install the package directly from PyPI:

pip install img2ascii-py

Optional Extras

• To enable faster image sampling (via Numba JIT compilation):

  pip install "img2ascii-py[fast]"
  

• To enable edge-detection enhancement filters:

  pip install "img2ascii-py[edges]"
  

• Install all features at once:

  pip install "img2ascii-py[fast,edges]"
  

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CLI Usage

When installed, the img2ascii command is added to your path.

img2ascii --help

Quick Examples

1. Basic Grayscale ASCII Art

Scale an image to a custom width and save the text file:

img2ascii path/to/image.jpg --width 80 > art.txt

2. Colored Terminal Print

Display the image directly inside the terminal with 24-bit ANSI colors:

img2ascii path/to/image.jpg --width 100 --color

3. Pixel-Exact HTML/CSS Output

Convert an image to a pixel-perfect HTML webpage using color-grouped HTML spans:

img2ascii path/to/image.jpg --width 150 --mode pixel > page.html

4. Piping from Standard Input

Send binary stream output into the converter:

cat input.png | img2ascii - --width 60 > output.txt

5. JIT-Accelerated Fast Mode

Enable performance JIT acceleration using Numba for processing high-resolution files:

img2ascii path/to/large_image.jpg --width 200 --fast

6. Edge Detection Enhancement

Overlay edge boundaries using Sobel filters to construct line art matching visual structures:

img2ascii path/to/line_art.png --width 100 --edges

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Library API Reference

You can also import and use img2ascii programmatically in your Python scripts.

Grayscale or Colored ASCII Art

from img2ascii.api import convert_to_ascii, AsciiConfig

# Configure settings
config = AsciiConfig(
    width=80,
    char_aspect=2.0,       # Adjusts height/width ratio for terminal fonts
    charset="standard",    # Supports presets: standard, detailed, blocks, binary, minimal
    color=True,            # Enable ANSI color escape codes
    auto_contrast=True,    # Stretch luma values for maximum dynamic range
    fast=True,             # Optional: Enable Numba JIT acceleration
    edges=True             # Optional: Enable SciPy Sobel edge-enhancement
)

# Render from file path, raw bytes, or a PIL Image object
art = convert_to_ascii("image.jpg", config)
print(art)

Pixel-Exact Web Output (HTML)

from img2ascii.api import convert_to_pixels, PixelConfig

config = PixelConfig(
    width=120,
    bg_color="#111111",
    glyph="█",             # Character block used to draw each pixel
    aspect_mode="resize",
    fast=True              # Optional: Enable Numba JIT acceleration
)

html_code = convert_to_pixels("image.png", config)
with open("output.html", "w") as f:
    f.write(html_code)

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License

This project is open-source and licensed under the MIT License.