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10 Ways to Improve Capture OCR and Indexing
The recognition phase of capture may seem to be the most important step relevant to automated indexing – since it is, after all, the phase where OCR is performed. But at least half of the factors relevant to successful indexing occur during the pre-recognition steps, particularly in obtaining appropriate image quality for OCR and indexing.
Read morePaperless Processes: Capturing Documents of All Types
I found the latest research paper from AIIM “Winning the Paper Wars – capture the content and mobilize the process troops.” to be an interesting read, especially since I have seen many of the points discussed when working with our customers—specifically with growth areas in mobile capture, OCR, BPM/Workflow and AP/AR processes. I am happy […]
Read moreTwo Cents on Implementing Advanced Capture Solutions
I have implemented numerous Advanced Capture solutions over the years and have identified a number of sticking points that are easily overcome, but can also be a real pain. I would classify an Advanced Capture solution as any document capture implementation that is more than a standard heads-up indexing or very basic zonal OCR of […]
Read moreKTM TDS Model Building
Are you tired of separator sheets? Tired of wasted paper and countless hours of flipping through pages and inserting a barcode sheet at the start of a new document just to take it out after the batch is scanned or leave it in the batch and have more paper to store? Why not have the […]
Read moreTuning Abbyy FlexiCapture Layouts and Document Definitions
So you have spent many hours analyzing and creating the layouts and definitions for the documents you need to be processed through Abbyy. Now you should be almost ready for production, except you need to tune. Many samples of the documents in question need to be run through and the results checked over very carefully […]
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