This package allows you to turn images (only .jpg and .png tested) into ASCII art drawings.
Inspired by ascii-view.

Documentation

Full documentation is available at: asciify-them.readthedocs.io

Features

• CLI: This software can be accessed both as a Python library and as a CLI;
• Colored output: ANSI color codes allow to print colors (requires a modern terminal);
• Resizing flexibility: Images are scaled to keep aspect ratio and fit the image to the terminal, but both options can be disabled;
• Edge detection: Sobel and Canny algorithm are used to highlight edges;
• Output flexibility: Resulting images can be saved in a file (both using the terminal to determine optimal size or providing custom height and/or width);
• Custom charsets and presets: You can now use different presets or provide a custom charset (any length is supported).

Installation

The package can be installed through PyPi:

# using pip
pip install asciify-them

# or using uv
uv tool install asciify-them

But also from source:

git clone https://github.com/ndrscalia/asciify-them
cd <repo-dir>
python -m venv .venv
source .venv/bin/activate
pip install -e .

The software can also be used without installing it through uv:

uvx --from asciify-them asciify path/to/image [OPTIONS]

Usage

This package requires a terminal emulator with true color support (e.g. kitty, alacritty, iTerm2).

CLI

The only required argument is the path to the image:

asciify <path/to/image> [OPTIONS]

The following options are available:

• -bw, --black_white: Set the output to black&white.
• -e, --edges: Enable edge detection.
• -w, --width: Provide custom width. If not specified, terminal's size is going to determine this value. This value can be specified only when f_type='wide'.
• -he, --height: Provide custom height. If not specified, terminal's size is going to determine this value. This value can be specified only when f_type='tall'.
• -ar, --no_aspect_ratio: Disable original aspect ratio's protection.
• -f, --factor_type: Choose the downsampling factor type among the following values: in_terminal, wide, tall.
• -b, --blur: Provide a list with kernel size as a tuple, std for x axis, std for y axis. For more details refere to the docs for cv2.GaussianBlur. Changing the default values allow to tweak edge detection.
• ct, --canny_threshold: Provide edges detection threshold as a tuple. For more details refer to the docs for cv2.Canny.
• -at, --angles_threshold: Provide kernel size for angles calculation as an integer.
• -o, --output: Provide the output's path. If not specified, uses stdout (e.g.: terminal).
• -A, --aspect_ratio_correction: Provide the value by witch to divide the terminal's detected aspect ratio to account for line spacing.
• -p, --preset: Choose one of the installed preset: classic, extended, unicode_blocks, braille.
• -c, --charset: Provide a custom charset of any length (use quotes to include space as a character).

Details

The different factors available are meant for different scenarios:

• in_terminal allows to keep the output inside the terminal keeping aspect ratio;
• wide is better suited for images which are wider than taller but the output does not stay in the terminal. This option is also optimal for conversion to .png through ansee, regardless of the relation between height and width;
• tall is better suited for images which are taller than wider but the output does not stay in the terminal; If aspect ratio's protection is disabled, output will be squished by a factor to stay in the terminal.

Python library

This package can also be used as a python library. Most of the API is exposed to the user, but a convenient wrapper is also available for simpler use cases.

from asciify import asciify

# Minimal use
result = asciify("path/to/image")
print(result)

# More advanced use
result = asciify(
    "path/to/image",
    color_mode="bw",
    edges_detection=True,
    f_type="tall",
    aspect_ratio_correction=1.10,
    charset=["."]
)

with open("output.txt", "w") as f:
    f.write(result)

The .txt output can be used with ansee to get a .png file out of it.
If needed, the core classes can be used as follows:

from asciify import ImgProcessor, Renderer, DEFAULT_CHARSET

# Configs
IMAGE_PATH = "examples/images/girl.jpg"  # Change this to a real image path
ASPECT_RATIO_CORRECTION = 1.10

# Optional parameters (set to None to use terminal size)
height = None
width = None

# Processing options
# default values
keep_aspect_ratio = True
f_type = "in_terminal"  # Options: "in_terminal", "wide", "tall"
angles_thresh = 3
blur = [(9, 9), 1.5, 1.5]
canny_thresh = (200, 300)
color_mode = "color"  # Options: "color", "bw"
edges_detection = False

# Process the image
processor = ImgProcessor(IMAGE_PATH)

if not height and not width:
    term_height, term_width = processor.calculate_print_size()
else:
    term_height = height if height else 40
    term_width = width if width else 100

ds_f = processor.calculate_downsample_factor(
    term_height=term_height,
    term_width=term_width,
    keep_aspect_ratio=keep_aspect_ratio,
    f_type=f_type,
    aspect_ratio_correction=ASPECT_RATIO_CORRECTION
)

ds_img = processor.downsample_image(
    f=ds_f,
    keep_aspect_ratio=keep_aspect_ratio,
    aspect_ratio_correction=ASPECT_RATIO_CORRECTION
)

img_hsv = processor.convert_to_hsv(image=ds_img)

angles = processor.calculate_angles(
    image=ds_img,
    k_size=angles_thresh
)

edges = processor.detect_edges(
    image=ds_img,
    blur=blur,
    canny_thresh=canny_thresh
)

renderer = Renderer(
    color_mode=color_mode,
    charset=DEFAULT_CHARSET # or any custom charset
)                           # or any preset (see changelog
                            # at the bottom of this doc)
if edges_detection:
    result = renderer.draw_in_ascii_with_edges(img_hsv=img_hsv, angles=angles, edges=edges)
else:
    result = renderer.draw_in_ascii(img_hsv=img_hsv)

print(result)

Examples

The following image compares the original input with the output you can get with the default options (except for -f, which was set to tall).

This is what you can get using, for example, the Unicode blocks preset:

# left image
asciify examples/images/girl.jpg --preset unicode_blocks

# right image (you will have to zoom out the terminal)
asciify examples/images/girl.jpg -f tall -p unicode blocks

Testing

To test the codebase check tests/README.md.

Changelog

• 1.1.0
  • Custom charsets of any length can now be provided both in the cli and in the python library.
  • New presets have been added: CLASSIC_GRADIENT, EXTENDED_SMOOTH_GRADIENT, BRAILLE_CHARSET, UNICODE_BLOCKS.
• 1.0.4
  • Fix to get char's aspect ratio in the terminal in non-Unix systems.
• 1.0.3
  • Add aspect ratio correction flag to account for line spacing.
• 1.0.2
  • Windows fix to get terminal size even when stdout is not the terminal.
• 1.0.1
  • Improved width factor for better aspect-ratio's protection.
• 1.0.0
  • First working version.

Future updates and possible contributions

• Allow custom charset with different number of characters;
• Allow tuning brightness for better piping to ansee;
• Improve edges' detection.