VP of Strategic Technologies & Digital Automation at PiF Technologies
MSP
Top 10
2024-12-02T18:41:00Z
Dec 2, 2024
The most significant area for improvement in the KODAK Info Input Solution is its ability to support custom definitions and auto-learn. Currently, it lacks the crucial capability to automatically learn and adjust extraction models when data is extracted from incorrect areas. While this feature is reportedly on the development roadmap, the absence of auto-learning puts KODAK at a disadvantage compared to competitors like Ancora, which offers this functionality. Ideally, the system should identify extraction errors, update the model accordingly, and then correctly extract data from similar invoices in the future.
Head of the Geomatics Unit at a energy/utilities company with 11-50 employees
Real User
Top 20
2024-11-25T15:46:00Z
Nov 25, 2024
Integrating KODAK Info Input Solution with other software, such as Laserfiche, presents challenges due to inadequate documentation and an unintuitive web services interface. The lack of clear guidance necessitates reliance on individuals with prior experience, while the insufficient documentation compels the hiring of Python experts to ensure successful integration.
KODAK Info Input Solution is award-winning intelligent document processing software that makes it easy to onboard documents of any complexity, from any source. Whether it’s email attachments, scanned paper, mobile uploads, or any other way documents enter your organization, Info Input Solution automatically transforms your data into business-critical information.
The benefits of using Info Input Solution for IDP extend across industries such as healthcare, financial services, government,...
An enhancement I'd like is alternate job templates for specific, less frequent workflows.
The most significant area for improvement in the KODAK Info Input Solution is its ability to support custom definitions and auto-learn. Currently, it lacks the crucial capability to automatically learn and adjust extraction models when data is extracted from incorrect areas. While this feature is reportedly on the development roadmap, the absence of auto-learning puts KODAK at a disadvantage compared to competitors like Ancora, which offers this functionality. Ideally, the system should identify extraction errors, update the model accordingly, and then correctly extract data from similar invoices in the future.
Integrating KODAK Info Input Solution with other software, such as Laserfiche, presents challenges due to inadequate documentation and an unintuitive web services interface. The lack of clear guidance necessitates reliance on individuals with prior experience, while the insufficient documentation compels the hiring of Python experts to ensure successful integration.