diverse data capture technologies
diverse data capture technologies give
AnyDoc Software products and solutions
the ability to process the broadest
range of document types possible. Each
of these technologies can capture whatever
data you need from these documents,
whether it’s machine print, hand
print, mark sense or bar codes.
With semi-structured documents such as invoices, the placement of data fields is inconsistent. Nearly every vendor produces a unique invoice for their goods and services. As a result, the purchase order number might be located at the top right of one invoice and the top left of another. The presentation of data on a semi-structured document can vary also. Lines of data may carry over to another page, from one document to the next. The data’s font sizes can fluctuate from one document to the other as well.
That’s why AnyDoc Software developed AnyApp technology: to make the automated processing of invoices and other semi-structured documents easier and more efficient. AnyApp locates data on template-resistant forms—regardless of where it resides on the document—by searching for defined data labels, such as “amount due” and “invoice number”; data format, such as dd/mm/yyyy; data type, such as alpha, numeric or both; and/or location, such as “just look in the top half of the document for this data.”
AnyApp remembers the location of this data on the document. So, the software becomes faster each time it processes that particular document type.
QuickApp technology streamlines
the extraction of data from rare
or seldom-seen documents – without
key-from-image processing or using
a document template. QuickApp is
ideal to process unstructured documents
such as letter and direct mail
where there is no consistent format.
simply point and click to capture
data, and QuickApp creates a profile
for use in future instances of
the same document type. The results
are less user interaction the next
time the document type is processed,
and in some instances, fully automated
data capture for the document.
Structured documents are consistent.
The data fields on a structured
document type are always in the
same location from one copy of
the document to the next, such
as order forms, credit applications,
etc. Because of this, users can
capture the data off structured
document images with a template.
document template, users define
where each data field can be
found on the document, the type
of data to look for (e.g., alpha-numeric),
and the format of the data’s
Template-based OCR for AnyDoc® performs
six phases of processing on
each image to ensure the best
possible output: image capture,
quality assure, form identification,
data capture, data validation
and verification. The final phase
allows human operators to check
any characters OCR for AnyDoc
flags as questionable and adds
to the accuracy of your data.
With key-from-image, data entry
operators view and key data off
scanned document images rather
than the paper documents themselves. Standard
key-from-image is approximately 10%
more efficient than traditional
data entry methods.
OCR for AnyDoc’s key-from-image
processing includes rope and expand
capabilities, which allow operators
to capture data with their mouse.
As a result, they key in significantly