Add demos to readme
Thanks to vicky!
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README.md
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README.md
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OwOCR is a command-line text recognition tool that continuously scans for images and performs OCR (Optical Character Recognition) on them. Its main focus is Japanese, but it works for many other languages.
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## Demo
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### Visual novel:
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https://github.com/user-attachments/assets/4ef3dd44-9b82-4621-9c68-fcf06da74666
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### Manga:
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https://github.com/user-attachments/assets/0b245a52-9a29-4e33-9b52-56645977f3f7
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## Installation
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OwOCR has been tested on Python 3.11, 3.12 and 3.13. It can be installed with `pip install owocr` after you install Python. You also need to have one or more OCR engines, check the list below for instructions. I recommend installing at least Google Lens on any operating system, and OneOCR if you are on Windows. Bing is pre-installed, Apple Vision and Live Text come pre-installed on macOS.
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@@ -72,5 +80,5 @@ This uses code from/references these people/projects:
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- [Manga OCR](https://github.com/kha-white/manga-ocr) for inspiring and being the project owocr was originally derived from
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- [Mokuro](https://github.com/kha-white/mokuro) for the comic text detector integration code
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- [ocrmac](https://github.com/straussmaximilian/ocrmac) for the Apple Vision framework API
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- [NadeOCR](https://github.com/Natsume-197/NadeOCR) for the Google Vision API
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- [ccylin2000_lipboard_monitor](https://github.com/vaimalaviya1233/ccylin2000_lipboard_monitor) for the Windows clipboard polling code
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- [ccylin2000_lipboard_monitor](https://github.com/vaimalaviya1233/ccylin2000_lipboard_monitor) for the Windows clipboard polling code
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- vicky for the demo videos in this readme!
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