INTRODUCTION
PRODUCT OVERVIEW
FREE TRIAL
NEWSLETTER
INTRODUCTION
PRODUCT OVERVIEW
FREE TRIAL
NEWSLETTER
CaptureBites™ is specialized in developing RPA software (Robotic Process Automation) for automated processing & data capture from documents.
A document can be an email with or without attachments, a document scanned with an MFP, document scanner or smartphone.
Our flagship product is MetaServer. An RPA platform to process Email, PDF, TIF, JPG, Word and Excel files etc. You can use it to separate document sets, extract and format key data, validate the result with db lookups and rules, convert files to searchable PDF etc. The result can be used to update a system of choice. Sending a document to MetaServer triggers the robot to execute all automatic steps as defined by easy to configure rules.
The CaptureBites product suite also includes connectors to add functionality to Kofax Express, Kofax Capture and Kofax Total Agility software.
CaptureBites products are affordable and have a low learning curve. They are designed for use as a small and medium business or departmental solution.
WHAT’S NEW?
MetaServer Version 3.1(23) has been released
Please refer to the full version history notes for more details.
MetaServer – Extract Text (Azure Form Recognizer)
With MetaServer’s Extract Text (Azure Form Recognizer) rule, you can automatically extract header data, key values and line items from forms, like invoices, and store that extracted data in fields. This is done through Azure Form Recognizer’s prebuilt models. These do not require any training or configuration.
MetaServer – Validate CSV
With MetaServer’s Validate CSV rule, you can let an Operator validate a field containing multiple lines separated by comma’s or semicolons.
Kofax Express – Ready for Kofax Express 3.3
Our Kofax Express connectors and modules are now fully compatible with Kofax Express version 3.3.
MetaServer – Extract Text (Azure Computer Vision)
With MetaServer’s Extract Text (Azure Computer Vision) rule, you can extract handwritten text, degraded text and deformed images with text (like those produced with a smart phone) from your imported documents and store the extracted data in fields
MetaServer – Find Selected Text
With the Find Selected Text rule, you can extract text from a field based on its coordinates and / or font size and confidence level. This can save a lot of time (and number of calls in the case of the Extract Text (Azure Computer Vision) rule).