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fastshot

A versatile screen capturing tool with annotation and OCR features


Maintainers
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Fastshot

Fastshot is an open-source Python-based screenshot tool for Windows, inspired by Snipaste. It provides a versatile and user-friendly interface for capturing and annotating screenshots, making it ideal for research, reading papers, writing code, and various comparison and demonstration scenarios.

Features

  • Always on Top: Screenshots stay on top, allowing easy comparison.
  • Smooth Zoom and Drag: Effortlessly zoom and drag screenshots.
  • Annotation Tools: Hand-drawing and text mode for annotations.
  • Clipboard Export: Easily export screenshots to the clipboard.
  • OCR Integration: Extract text from images using the built-in OCR plugin powered by PaddleOCR.

Installation

You can install Fastshot from PyPI:

pip install fastshot

Usage

Once installed, you can start Fastshot from the command line:

fastshot

Hotkeys

Ctrl+F1: Activate screen capturing mode.

Ctrl+P: Activate paint mode.

Ctrl+T: Activate text mode.

Esc: Exit the current mode.

Right-Click Menu

❌ Close: Close the current window.

💾 Save As...: Save the current screenshot.

🖌️ Paint: Activate paint mode.

↩️ Undo: Undo the last action.

🚪 Exit Edit: Exit paint or text mode.

📋 Copy: Copy the current screenshot to the clipboard.

🔤 Text: Activate text mode.

🔍 OCR: Perform OCR on the current screenshot and copy the result to the clipboard.

Plugin Development

Fastshot supports a plugin mechanism that allows developers to extend its functionality. Here is a brief description of how to develop a plugin:

  1. Create a Plugin Class: Your plugin should be a Python class with the desired functionality. For example, an OCR plugin might look like this:

    from paddleocr import PaddleOCR
    from PIL import Image
    import win32clipboard
    import tkinter as tk
    
    class PluginOCR:
        def __init__(self):
            self.ocr_engine = PaddleOCR(use_angle_cls=True, lang='en')
    
        def ocr(self, image):
            result = self.ocr_engine.ocr(image, cls=True)
            ocr_text = "\n".join([line[1][0] for res in result for line in res])
            self.copy_to_clipboard(ocr_text)
            return ocr_text
    
        def copy_to_clipboard(self, text):
            win32clipboard.OpenClipboard()
            win32clipboard.EmptyClipboard()
            win32clipboard.SetClipboardText(text, win32clipboard.CF_UNICODETEXT)
            win32clipboard.CloseClipboard()
    
        def show_message(self, message, parent):
            label = tk.Label(parent, text=message, bg="yellow", fg="black", font=("Helvetica", 10))
            label.pack(side="bottom", fill="x")
            parent.after(3000, label.destroy)
    
  2. Register the Plugin: In the SnipasteApp class, you can register your plugin by adding it to the plugin list.

    class SnipasteApp:
        def load_plugins(self):
            plugin_modules = ['fastshot.plugin_ocr']  # Add your plugin module here
            for module_name in plugin_modules:
                module = importlib.import_module(module_name)
                plugin_class = getattr(module, 'PluginOCR')
                self.plugins[module_name] = plugin_class()
    
  3. Invoke the Plugin: You can invoke the plugin from your application code, such as from a menu item.

    def ocr(self):
        plugin = self.app.plugins.get('fastshot.plugin_ocr')
        if plugin:
            img_path = 'temp.png'
            self.img_label.zoomed_image.save(img_path)
            result = plugin.ocr(img_path)
            plugin.show_message("OCR result updated in clipboard", self.img_window)
    

By following these steps, you can create and integrate custom plugins to extend the functionality of Fastshot.

Development

Setting Up the Development Environment

  1. Clone the repository:
git clone https://github.com/yourusername/fastshot.git
cd fastshot
  1. Install the dependencies:
pip install -r requirements.txt

Running Tests

You can run the tests using:

pytest tests/

Contributing

We welcome contributions! Please read our Contributing Guidelines for more details.

License

This project is licensed under the Apache License - see the LICENSE file for details.

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