Get rid of huge orange.ocr desc. Prepare for higher build.
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@ -13,7 +13,7 @@ It is possible to long-press the result to copy it, so that it can be pasted
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into a browser or a dictionary.
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Experimental app for optical character recognition (OCR).
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Runs the Tesseract 3.02 OCR engine on your device to find text in images
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Runs the Tesseract OCR engine on your device to find text in images
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captured by the device camera, without uploading your images to a server.
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It is suitable for recognizing individual words or short phrases of text.
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@ -21,26 +21,7 @@ The default single-shot capture runs OCR on a snapshot image that's captured
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when you click the shutter button, like a regular photo.
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When the "continuous preview" checkbox is checked, the app shows a dynamic,
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real-time display of what the device is recognizing right beside the camera
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viewfinder. The continuous preview mode works best on a fast device. The
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app supports x86 natively.
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# Point the device at some text and touch the on-screen shutter button to start OCR
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# To copy text to the clipboard or share text, long-press on the text after pressing the shutter button
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# For recognizing individual Chinese/Japanese/Korean characters, access the settings and set the page segmentation mode to "single character"
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RECOGNITION ACCURACY
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* Various factors can cause the OCR to fail: uneven illumination, stylized text, or text without enough contrast from the background. Try to have good lighting
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* Hold the device steady, and be sure the picture is in focus
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* If you need to scan a large block of text or an entire document, consider using a flatbed document scanner
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Supported languages for OCR: Arabic, Bulgarian, Catalan, Chinese (Simplified),
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Chinese (Traditional), Czech, Danish, Dutch, English, Finnish, French, German,
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Greek, Hindi, Hungarian, Indonesian, Italian, Japanese, Korean, Latvian,
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Lithuanian, Polish, Portuguese, Romanian, Russian, Serbian (Latin), Slovak,
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Slovenian, Spanish, Swedish, Tagalog, Thai, Turkish, Ukrainian, and Vietnamese.
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Arabic OCR requires a large amount of RAM. If your device doesn't have enough
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RAM, the app will quit during OCR. The preferred language can be chosen in
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the settings.
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viewfinder. The continuous preview mode works best on a fast device.
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.
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Repo Type:git
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@ -51,10 +32,19 @@ subdir=android,srclibs=TessTwo@cbfa61eff0,prebuild=\
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sed -i 's@\(rence.1=\).*@\1../tess-two@' project.properties && \
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cp -r $$TessTwo$$ ../,build=$$NDK$$/ndk-build -C ../tess-two
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Auto Update Mode:None
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# not every version is published and there is no secondary check
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#Update Check Mode:Market
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Update Check Mode:None
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Current Version:0.5.12
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Current Version Code:31
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Build:0.5.13,32
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disable=needs testing
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commit=10c6621452be6f215
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subdir=android
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srclibs=1:TessTwo@8f63ae2058159
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build=$$NDK$$/ndk-build -C $$TessTwo$$
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Maintainer Notes:
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RepoManifest always a version ahead, since upstream bumps versions just after each release.
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.
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Auto Update Mode:None
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Update Check Mode:RepoManifest
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Current Version:0.5.14
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Current Version Code:33
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