Deepva Text Recognition
Text Recognition
function description
Optical character recognition
Are you looking for a quick and easy way to read text from your media data? Our text recognition searches the image for letters and words and makes them readable for the system, so that information from name insertions or from signs in the image, for example, is available as metadata. Text or text overlays contain relevant information and occur in large quantities in videos and images.
Therefore, it is inevitable that text information has to be identified in order to be useful. Deep Media Analyzer’s text recognition detects and analyses any information that is displayed on the screen in images and videos. This can be an overlay, text on billboards, signs, documents or any other surface, no matter what font or whether the text is handwritten.
benefits
Transforming data into value
Automatic text extraction
For creation of metadata
Applicable to a variety of use cases
use cases
Text Recognition use cases
Improving visual search
How can I efficiently find what I’m really looking for in my visual media material?
how it works
How does Face Recognition work?
Face Recognition analyzes faces with respect to a number of different vectors and compares them with the underlying database. The database may consist of either pre-trained personalities, your own training data, or a combination of the two.
