The ASCII Art Generator is a versatile tool that converts images into ASCII art, offering both grayscale and colored outputs. Users can customize various parameters, apply filters, and download their generated art in different formats.
- Users can upload images in JPEG and PNG formats through a simple interface.
- Supports various image dimensions and aspect ratios.
- Converts images into detailed grayscale ASCII art.
- Users can set the desired width for the ASCII output, maintaining the aspect ratio.
- Generates ASCII art using HTML for colored output.
- Each pixel's RGB values are translated into color-coded ASCII characters.
- Users can adjust the width of the ASCII art from 50 to 150 characters.
- Automatically scales the height to maintain the aspect ratio.
- Invert Colors: Inverts the colors of the uploaded image for a different artistic effect.
- Blur Filter: Applies a blur effect to the image before conversion to ASCII art.
- Edge Detection: Highlights the edges in the image for a more defined ASCII representation.
- Users can download the generated ASCII art as:
- A plain text file for grayscale output.
- An HTML file for colored ASCII art, viewable in web browsers.
- The web interface is responsive and user-friendly, providing a smooth experience on both desktop and mobile devices.
- Fully functional command-line interface for users who prefer terminal usage.
- Supports various command-line arguments for customization:
--width
: Set the width of the ASCII art.--color
: Enable colored ASCII art output.--invert
: Invert the colors of the image.--blur
: Apply a blur effect to the image.--edge
: Apply edge detection to the image.
- Robust error handling to manage unsupported file types and processing errors.
- User-friendly error messages for easier troubleshooting.
- Comprehensive user instructions embedded in the web interface.
- Detailed documentation available for both the web and command-line versions.
- Addition of more ASCII character sets for varied artistic styles.
- Support for additional image formats (e.g., BMP, GIF).
- Integration of machine learning models for better image processing.