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BlinkOCR Scanner captura de pantalla 1 BlinkOCR Scanner captura de pantalla 2 BlinkOCR Scanner captura de pantalla 3 BlinkOCR Scanner captura de pantalla 4 BlinkOCR Scanner captura de pantalla 5 BlinkOCR Scanner captura de pantalla 6 BlinkOCR Scanner captura de pantalla 7 BlinkOCR Scanner captura de pantalla 8

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BlinkOCR Scanner descripción

BlinkOCR Scanner is a demo application of BlinkOCR scanning library (SDK) developed by Microblink team.

This demo demonstrates the capabilities of our OCR technology and it is intended primarily for developers and those who need real time text recognition in their apps. It is customizable scanner app and uses phone camera for scanning small chunks of text that can be copied and shared as if they are manually entered. There are several available parsers that are used to extract information of interest from scanned texts (e-mail, IBAN, amount, date and raw text).

BlinkOCR is a mobile vision SDK that integrates into your existing mobile app to provide the functionality of real-time text recognition, using camera of your mobile device. Compared to regular desktop-based OCR software, BlinkOCR library yields faster, near real-time results with lower error rate. While the whole process is performed on the mobile device, BlinkOCR works offline, without Internet connection.

Features:
* Real time speed & high accuracy
* Works offline (no internet connection needed)
* Flexibility: easy to integrate API
* Supports entry level mobile phones

BlinkOCR SDK adds the functionality for extracting text from physical documents. Described widely like this, there are numerous use cases where text recognition functionality is needed.
BlinkOCR especially excels at specific use cases like: IBAN and payment information scanning, loyalty card scanning, receipt scanning or business card scanning. It supports both iOS and Android natively. BlinkOCR with its features like speed and accuracy replaces the need for manual data input in described use cases.

If you like it, check for downloads, source code on GitHub, help, pricing and more information on our web site: https://microblink.com/ocr

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