Can text structure be retained using Google Cloud Vision TEXT_DETECTION?
<p>Version 1 of the Google Cloud Vision API (beta) permits optical character recognition via TEXT_DETECTION requests. While recognition quality is good, characters are returned without any hint of the original layout. Structured text (e.g., tables, receipts, columnar data) are therefore sometimes incorrectly ordered.</p>

<p>Is it possible to preserve document structure with the Google Cloud Vision API? Similar questions have been asked of tesseract and hOCR. For example, [1] and [2]. There is currently no information about TEXT_DETECTION options in the documentation [3].</p>

<p>[1] <a href="https://stackoverflow.com/questions/22609778/how-to-preserve-document-structure-in-tesseract">How to preserve document structure in tesseract</a>
[2] <a href="https://stackoverflow.com/questions/18089013/tesseract-ambiguity-in-space-and-tab">Tesseract - ambiguity in space and tab</a>
[3] <a href="https://cloud.google.com/vision/" rel="nofollow noreferrer">https://cloud.google.com/vision/</a></p>