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Jumped the gun about this too soon (yay undocumented APIs)

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AuroraWright
2024-02-11 18:32:43 +01:00
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@@ -13,7 +13,7 @@ This has been tested with Python 3.11. Newer/older versions might work. It can b
- [EasyOCR](https://github.com/JaidedAI/EasyOCR): refer to the readme for installation ("e" key)
- [RapidOCR](https://github.com/RapidAI/RapidOCR): refer to the readme for installation ("r" key)
- Apple Vision framework: this will work on macOS Ventura or later. In my experience, the best of the local providers for horizontal text ("a" key)
- Apple Live Text (VisionKit framework): this will work on macOS Ventura or later. It should be the same as Vision except that in Sonoma Apple added vertical text reading, on the other hand it's a bit slower/requires a small Swift helper tool to be downloaded (source code is in this repo, it's a stripped down version of LiTeX). ("d" key)
- Apple Live Text (VisionKit framework): this will work on macOS Ventura or later. It should be the same as Vision except that in Sonoma Apple added vertical text reading ("d" key)
- WinRT OCR: this will work on Windows 10 or later if winocr (`pip install winocr`) is installed. It can also be used by installing winocr on a Windows virtual machine and running the server (`winocr_serve`), installing requests (`pip install requests`) and specifying the IP address of the Windows VM/machine in the config file (see below) ("w" key)
## Cloud providers
@@ -40,9 +40,9 @@ However:
# Acknowledgments
This uses code from/references these projects:
- Viola for working on the Google Lens implementation and helping with the (shelved) pyobjc VisionKit code!
- Viola for working on the Google Lens implementation and helping with the pyobjc VisionKit code!
- @ronaldoussoren for helping with the pyobjc VisionKit code
- [Manga OCR](https://github.com/kha-white/manga-ocr)
- [ocrmac](https://github.com/straussmaximilian/ocrmac) for the Apple Vision framework API
- [NadeOCR](https://github.com/Natsume-197/NadeOCR) for the Google Vision API
- [ccylin2000_lipboard_monitor](https://github.com/vaimalaviya1233/ccylin2000_lipboard_monitor) for the Windows clipboard polling code
- [LiTeX](https://github.com/Shakshi3104/LiTeX) for the Swift Live Text helper
- [ccylin2000_lipboard_monitor](https://github.com/vaimalaviya1233/ccylin2000_lipboard_monitor) for the Windows clipboard polling code