![]() Each item represents a rectangle Evernote’s OCR system believes to contain text.Įach item contains four attributes: x and y indicating the coordinates of top-left corner of the area represented by the item, as well as w and h representing the width and height of the item.Īs an image is evaluated for textual content, a set of possible matches is created as child elements to their corresponding item. Contained within recoIndex are a number of item nodes. When I export this note as an ENEX file-a portable XML export format for Evernote notes-and jump to the bottom of the file, I’ll find the recoIndex element. The full recoIndex node is visible when a note is exported as an ENEX file.įor example, I dug around and found an old note in my account containing only a single photo of a bottle of beer: These results are added to the note in the form of a hidden-that is, not visible when viewing the note-metadata attribute called recoIndex. When a note is sent to Evernote (via synchronization), any Resources included in the note that match the MIME types for PNG, JPG or GIF are sent to a different set of servers whose sole job is performing Optical Character Recognition (OCR) on the supplied image and report back with whatever it finds. ![]() In this post, I’ll describe how the process works and answer some frequently-asked questions. Evernote’s ability to search for text within images is a popular feature. ![]()
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