OCR Test android app free download

Ver 0.5.11, for Android OS 2.2 and up Experimental app for optical character recognition (OCR). Runs the Tesseract 3.01 open source OCR engine to find text in images captured by the device camera. The purpose of this app is to demonstrate OCR running on an Android device. Conventionally, OCR is run using a flatbed scanner to scan printed pages of text. In contrast, running OCR on images captured by a smartphone/tablet camera on an Android device gives much lower quality--but interesting--recognition results. The default single-shot capture runs OCR on a snapshot image that's captured when you click the shutter button, like a regular photo. When the "continuous preview" checkbox is checked, the app shows a dynamic, real-time display of what the device is recognizing right beside the camera viewfinder. The continuous preview mode works best on a fast device. A translation capability--powered by Bing or Google--can be run after OCR is finished. Some notes on using this app: - Hold down the on-screen shutter button to auto-focus, and release your finger from the button to take the picture. Or just tap the button to take the picture without autofocus. - To copy text to the clipboard, long-press on the recognized text or translated text. - The same suggestions for effectively using the camera work as in other apps, such as Google Goggles or Google Docs: hold the camera steady, with the camera lens perpendicular to the word or characters you want to capture, and be sure the autofocus engages before taking the picture. - Various factors can cause the OCR to fail: uneven illumination, stylized text, or text without enough contrast from the background. - For recognizing individual Chinese characters, set the page segmentation mode to "single character." - Arabic OCR requires a large amount of RAM. If your device doesn't have enough RAM, the app will quit during OCR. Development notes: - This is an open source project. The source code is available at https://github.com/rmtheis/android-ocr. - Supported languages for OCR: Arabic, Bulgarian, Catalan, Chinese (Simplified), Chinese (Traditional), Czech, Danish, Dutch, English, Finnish, French, German, Greek, Hindi, Hungarian, Indonesian, Italian, Japanese, Korean, Latvian, Lithuanian, Polish, Portuguese, Romanian, Russian, Serbian (Latin), Slovak, Slovenian, Spanish, Swedish, Tagalog, Thai, Turkish, Ukrainian, and Vietnamese. - Thanks to the contributors: Spoorthi, Hunvil, Jingjing, Xuyuan, and Mandar.