We entered 2022 with focused goals, an industry-driven product roadmap, and a futuristic perspective. As we kick off this third quarter, we remain focused on providing you with features to help our users reap the best results from our Intelligent Document Processing (IDP) platform. Here are some of the major features and enhancements from our latest release. https://www.infrrd.ai/blog/launching-infrrd-idps-latest-features

1. Launching Infrrd IDP's Latest
Features
We entered 2022 with focused goals, an industry-driven product
roadmap and a futuristic perspective. As we kick off this third quarter,
we remain focused on providing you features to help our users reap
the best results from our Intelligent Document Processing (IDP)
platform.
Here are some of the major features and enhancements from our
latest release.

2. Business Rules for Document Processing
Infrrd's IDP solution now provides options in the user interface to
perform derivations or calculations on extracted data to transform
them based on your individual requirements. Users can achieve this
by configuring business rules. Previously, contacting Infrrd’s
customization team was required and now, some of these capabilities
are available from the IDP user interface. This will result in significant
time savings as available business rules can simply be configured and
managed within the Infrrd IDP platform rather than routing it through
the Infrrd customization team.
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3. Infrrd Knowledge Graph
Additionally, with this new release, new document models can be
created by re-using our knowledge graph, a repository of all the data
types that our AI already understands. This collection of more than
500+ fields can be used to create a new model for a document that
our system has never seen before — without any training.
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4. Table Extraction Enhanced
Table extraction, including the user experience, also has been
enhanced. Now, Infrrd IDP users have options to extract the
Prominent Table. The Prominent Table is identified by the IDP system
as the most important table in the document. Users also now have the
ability to extract all the tables in a document. Additionally, to ensure an
enhanced user experience, tables are now listed in a separate tab
after extraction or during a correction. A new deep learning
architecture is used for training table structure, which is expected to
improve the accuracy of row and column identification.
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5. Google Drive Integration Launched
In Infrrd’s IDP, users can now upload documents to a model from a
Google drive by configuring the data source. This allows documents to
be uploaded to a model easily and securely for the extraction process.
Documents in the configured Google drive will automatically be
uploaded to the model, based on a configured polling interval. Instead
of uploading documents to Infrrd’s system, now users can just place
them in their Google drives. Infrrd will pick up the documents from
users’ Google drive in regular polling intervals and place the results
back in there.
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