ChatGPT and Extract ‘discuss’ the need for Automated Redaction and Indexing Solutions
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Redaction of Pre-Existing Files
What if the OCR misses a field or value?
You have a software package that relies on optical character recognition (OCR) to classify, pick up words, numbers or phrases from a document. As long as the quality of the document is mostly clean, everything works well. However, what happens when the document arrives and the quality is simply, not good? Does the software give up and run away with its tail between its legs? Are there any options to classify or capture anything on these documents?
Bots Versus Humans
First came Alien, then Predator, followed by Alien versus Predator. The Alien series chronicles the battle between humans and a mysterious lifeform whose lifecycle has just begun. Predator was based on an extraterrestrial hunter stalking commandos in Central America and the citizens of Los Angeles. When the two series merged, it featured an epic battle between the two legends.
Extract Software Version 10.6 Release Features
5 Examples of how document type and quality can affect accuracy
Document formatting and quality can have a dramatic effect on OCR and rules accuracy when data capture is concerned. The 5 examples shown below are meant to educate a potential or current data capture user on what can cause accuracy to rise or fall. Although sometimes it’s hard or impossible to correct the issues that cause accuracy to fall, there are generally steps that can be taken to help prevent them.
Top 3 Optical Character Recognition (OCR) Misconceptions
Extract, redact all my documents.
Are you still living in ancient times?
Early 2017, the Government Business Council and Veritas did extensive research and built a survey to figure out if federal organizations are living out “principles of transparency, participation, and collaboration.”
This survey shed some light on some troubling information regarding federal agencies and their data management practices.
Leverage OCR to improve your workflows
It’s easy to mistake Optical Character Recognition (OCR) as a one-trick pony.
After all, pulling text out of an image to make it usable in other applications is an impressive trick. Don’t be content to think that’s all OCR can do for you though. By combining OCR output with other technologies, it’s possible to make substantial improvements to workflows throughout an organization. Incoming document workflows are the first and most obvious place that OCR can make a major impact.