This time, we’ve incorporated automatic extraction of bar codes, QR codes, and many other types of codes commonly found in documents.
This way, when you upload a new document to Athento, all of the codes contained in the document will be identified and the metadata extracted (“Codes” section). This identification happens without having to tell Athento where the codes appear. The system simply searches for any code present within the document.
|Automatic extraction of codes|
In previous versions of Athento, when we wanted to extract the information encrypted in a bar code, we had to previously define where the code appeared in the associated model.
|Defining the extraction template during the creation of the model|
Nonetheless, in this case, automatic extraction conducts the process without needing any models. In other words, any time there’s a code in a document, it’ll get extracted.
However, if we want the information in this code to be a piece of metadata whose information we can export, we do need to define it in the model. The good thing about having these two ways is that if there’s already a model that’s been associated with the uploaded document, the data associated with the barcodes, QR codes and other types of codes will be extracted by both methods, allowing the user to compare and contrast the information.
|Automatic extraction + Extraction using the model|
To try the new functionality, try our online demo!
In the Athento User Guide, you’ll find more information about automatic data extraction using codes.