New Custom Invoice & Document Processing Now Available

Key insights

AI Builder Enhances Invoice and Document Processing

The AI Builder has introduced new capabilities for automated custom invoice processing and precise extraction of dates and numerical fields from documents. This development is geared towards simplifying the creation of custom AI models for data extraction and improving accuracy in handling both structured and unstructured documents.

• The AI Builder now supports enhanced customization for invoice processing, allowing for more efficient data extraction by utilizing pre-configured models as a starting point for training custom invoice models.


• Customers can benefit from streamlined training processes for custom invoice models, focusing on adding extra fields without starting from scratch, thereby saving time and increasing efficiency.


• The introduction of typed fields feature aims to standardize document processing output and enhance the accuracy of document extraction by allowing users to specify the expected format of numerical and date fields during the model training phase.

With these improvements, users can leverage AI Builder’s new capabilities to transform traditional invoice and document processing workflows, making them more efficient and precise. Business professionals, like accountants, express excitement over the potential of these technologies to revolutionize their practices, highlighting the transformative impact of AI Builder enhancements on their operations.

Exploring the Impact of Enhanced Document and Invoice Processing on Businesses

In today’s digitized world, the ability to efficiently process documents and invoices is crucial for business operations across various industries. The latest advancements in AI and machine learning technologies have made it possible to automate these processes, significantly reducing manual work and improving accuracy. AI Builder’s new features for custom invoice processing and document field type extraction represent a significant step in this evolution. Businesses can now configure AI models tailored to their specific needs, extracting not only standard fields from documents but also custom ones that are unique to their operations. This customization capability greatly enhances the flexibility and applicability of AI in document processing tasks. As a result, businesses can expect improvements in operational efficiency, data accuracy, and overall productivity. By leveraging these advanced AI tools, companies can stay ahead in the competitive market, delivering faster and more reliable services to their customers. The era of intelligent document processing is here, and AI Builder’s latest updates are at the forefront, ushering in new possibilities for automation and business innovation.

Custom processing for invoice and document field types is now widely available, thanks to AI Builder's newest features. These features enable automated custom invoice processing and the extraction of dates and numerical fields from documents. The goal is to make it easier to set up custom AI models for automatic data extraction from invoices and improve the accuracy of processing both structured and unstructured documents.

Gwenael Bego, Group Product Manager at AI Builder, announced these enhancements. They are designed to streamline the creation of bespoke AI models for automated data extraction from invoices. This development enhances Power Automate's ability to process structured and unstructured documents accurately.

AI Builder's invoice customization offers significant benefits. The platform already includes a pre-configured AI model that can extract standard fields from invoices, such as invoice ID and the amount due. For those dealing with invoices containing custom fields, a specialized Document Processing AI model can be created and trained with sample documents to recognize and extract these additional fields.

To simplify the process, users can start with an existing invoice model. This approach helps in extracting standard invoice fields and reduces the effort needed during the training phase to add custom fields. This solution is already helping professionals like Ashley Francis, a Certified Public Accountant, to transform traditional processes, boost efficiency, and save time.

Document field types offer considerable advantages in document processing workflows. The addition of typed fields enables the extraction of numbers and dates, allowing for the specification of their expected format while training a custom model. This feature helps standardize document processing outputs and enhances the precision of document extraction.

To begin with invoice customization and understanding document field types, several resources are available. These include guides on creating a document processing custom model in AI Builder and extracting dates and numbers from documents. Users are encouraged to start exploring AI Builder to leverage these new document processing features.

Further Insights on AI Builder's Document Processing Capabilities

AI Builder is revolutionizing the way businesses handle invoice and document processing. By automating the extraction of crucial data through the use of artificial intelligence and machine learning, organizations can significantly reduce manual effort and minimize errors. This approach not only streamlines workflows but also allows for more accurate data handling and analysis.

The ability to customize invoice processing models according to specific business needs is a game-changer. It frees companies from the constraints of standard models, providing the flexibility to capture the unique information that matters most to their operations. This level of customization ensures that businesses can maximize the efficiency of their invoice and document processing tasks.