Behind the scenes, each model inspects the training data from the cloud, selects the right machine learning algorithm, trains and provides a custom model and evaluation metrics. Table data extraction (from images) model comparison.Įach business case requires unique modifications specific to its purpose.Application Form recognition model comparison.These allow you to easily search through your information, apply data science and make predictions based on the data input and, lastly but also importantly, reduce paper use. These services use artificial intelligence and machine learning algorithms to extract text from different document formats. There are services available, which can read the information present in your forms, recognize and extract that information while preserving their relationship within the data. There are lots of ways to reduce that pile of documents in your shelf or cupboard and store them digitally in a hard disk or in cloud storage. Even though these solutions can run on-premise, in this article we will compare the available cloud offerings for recognizing form data in the cloud. To understand the high-level process, please read the following article. To manage, analyse, make predictions and decisions using that data is a daunting task, especially if the data is not collected using the right process. Once the data is in the right form, analysis becomes easy. We built a solution for them that not only recognizes the standard forms like invoices, receipts etc., but also converts the handwritten texts into digitized text.

Imagine, doing an analysis on that amount of data. They had more than a hundred year's worth of handwritten documents. Recently, while consulting for a client, we realized that they had been doing big data analysis manually. Companies have a lot of data, but not all data is digitized.

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