OCR kit for notes scribbled on your mobile

A2iA  as announced the availability of a2ia mNote a new software toolkit that turns cursive handwritten notes into searchable, digital text by simply taking a photo of the paper document with a smartphone or tablet.

"For more than 25 years, A2iA's research teams have been dedicated to data extraction and workflow automation, addressing a changing global market and new user requirements," said Jean-Louis Fages, A2iA President & Chairman of the Board.

"With the reliance on mobile devices in all facets of our lives, A2iA has released its newest product to address mobile content management and to further simplify mobile data recognition for the everyday user, by enabling handwriting recognition directly on the phone or tablet and directly from a mobile image."

Powered by A2iA's handwriting recognition capabilities, a2ia mNote brings unstructured and cursive text recognition to the mobile device as a new feature that can be integrated into mobile operating systems, apps, note taking solutions, and more. Without the need for a dictionary or customisation, users can transcribe handwritten notes such as meeting notes, to-do or shopping lists, and handwritten letters.

Using the full text extraction from these documents, the integrated app can perform keyword search and retrieval of the handwritten data, even when the smartphone or tablet is offline and not connected to cellular service or Wi-Fi, as well as enable the data to be shared between devices or cloud-based solutions.

For a simple user experience, a2ia mNote also utilises a2ia's Auto-Locate feature to allow users the ability to capture a document quickly and accurately. Users simply hold the mobile device over a document and without a pre-defined zone or bounding box, and without a specific orientation in which to hold the document, a2ia mNote will automatically locate the edges of the document and capture it. Once captured, documents are automatically corrected, including their skew and orientation, coloring and lighting, and all noise is removed. Using this corrected document, all handwritten and printed information is extracted and transcribed into electronic, searchable and editable text for integration and use by a mobile app, enterprise or a cloud-based application.

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