From tedious manual data entry to processing non-standardized documents, many businesses struggle with documents on a daily basis. At Trifork Machine Learning we have a wealth of experience in document analysis to help businesses tackle the challenges they face handling documents. Automating data entry, standardising and centralising document/data storage, or extracting information to highlight red flags and missing data fields – these are just a few examples of the techniques we employ to save our customers time, reduce tedious repetitive tasks, and ultimately improve the quality of their work.
When dealing with document analysis, the first step is always obtaining a searchable digital format. Sometimes this is readily available but other times businesses are inundated with stacks of hard copies. Using technologies like optical character recognition, advanced image analysis and deep learning, we are able to convert your scanned images to actionable information. This conversion opens up possibilities for using natural language processing and understanding techniques. From here on, the way we combine and apply technology is tailor made for the customer and their problem.
Documents are used to record and exchange information in virtually every industry, particularly:
If you want to know more about Trifork projects on smart document analysis systems, please fill the contact form.
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