'Show Raw Values' setting
The Affinda solution applies a range of post-processing steps to the raw text extracted from a document to ensure it is usable for downstream processing. Examples of this include:
Faster parsing option
To meet more customer's requirements, we have released a new option that enables customers to parse documents materially faster. The option is aimed at customers who need real-time responses where seconds count. This option is particularly relevant for Resume Parsing customers using our NextGen Resume Parser.
View Unclassified documents by sorting by Collection
Customers can now sort by Collection within the Workspace view in the Affinda web app. This gives customers who are using our document classification capabilities the ability to quickly access all documents that have been left 'Unclassified' as a suitable Collection for that document has not been identified.
Job Descriptions now visible in Document UI
To align with the other documents offered by Affinda, the Job Description Parser is now visible in the Affinda Document UI through our web app. This means customers can now assess the data that has been extracted from a job description quickly and easily, without having to wade through JSON or XML formats.
Product Launch: NextGen Resume Parser
Introducing our NextGen Resume Parser - the most accurate parser on the planet.
Machine Validation Engine
We have released our new Machine Validation Engine to give customers an even greater ability to achieve automation for their documents. Within the Affinda platform, rules can be configured to validate automatically if the data extracted by our AI models meets certain business logic, and therefore does not need any user intervention or review. Ultimately, this means that straight-through processing of documents can be acheived to remove the 'human in the loop' from the process. The rules can also be used to flag exceptions where the data does not meet expected values, ensuring accurate data for downstream processing.
Product Launch: Purchase Order & Account Statement Extractors
We're pleased to launch two new additional Extractors to complement our existing AI models within our Accounts Payable suite. Customers can now take advantage of Affinda's AI technology to extract data from Purchase Orders and Account Statements.
Status Page
We've recently rolled out a brand-new feature – our Status Page – designed to keep you in the loop about the performance of our API and app across all of our server locations.
Field Configuration Improvements, including Dropdown & Matching Functionality
We're excited to introduce a significant enhancement to our app that will simplify and streamline field configuration for both technical and non-technical users. With this latest update, managing your custom fields and data matching has never been easier.
Webhooks available at Workspace level
In our efforts to continue to make the Affinda solution configurable to all customers' requirements, we have made an improvement to our webhook capabilities. Customers can now choose to webhooks at a Workspace level (in addition to Organization level).