Find That Image

Find That Image is a program designed to locate specific images on your computer screen. It uses pattern-matching techniques to identify matches against a reference image. The software is available on itch.io.

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• Image match search. The program compares a reference image with the current screen content. It analyzes pixels and patterns to find similar areas, even with minor variations in size or color.
• Multiple image format support. Supports common formats such as PNG, JPG, and BMP. The reference image can be loaded from a file or captured directly from the screen.
• Match tolerance adjustment. Lets you set the level of similarity required to count as a match. Lower thresholds help detect partially hidden or distorted images, while higher thresholds reduce false positives.
• Region capture mode. Includes a tool for manually selecting a specific screen area to search, which reduces processing time.
• Visual and sound notifications. Displays highlighted frames around the matches found and can play a sound when the target image is detected.
• Result coordinates. Provides the exact pixel coordinates where the image was found, so they can be used in automation or scripts.
• Search history. Records previous results with timestamps and the parameters used, making it easier to track repetitive operations.
• Multiple instance mode. Allows several simultaneous searches with different reference images and independent settings.
• Results export. Generates text reports with technical details of each search performed, including position and match percentage.
• Integration with other programs. Offers options to send results to external applications through standard protocols or temporary files.
• Hotkey customization. Lets you assign keyboard shortcuts to start searches, capture areas, or repeat the last operation without using the graphical interface.

Find That Image was created by Samontab and published on itch.io. Development began in 2021 using the Python programming language. The first public version included basic image comparison features, with later updates adding multi-monitor support and performance optimizations. The program remains under active development, with new features added regularly based on user feedback.

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