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Toggle menu visibility. Ask Another Question. Answered By: Business Library. Last Updated: Feb 27, Views: Toggle action bar FAQ Actions. Print Tweet Share on Facebook Was this helpful? Jun 22, May 20, May 9, Apr 6, Feb 18, Jan 23, Jan 18, May 16, Apr 21, Apr 8, Mar 9, Jan 6, Jan 5, Sep 18, Jun 29, It's an open-source python-based software developed by Google. However, even popular tools like Tesseract fail to extract text in some complex scenarios.
They blindly extract text from given images without any processing or rules. Hence they require some intelligent algorithms backing them; this is where deep learning comes into the picture. The output shown below is what we would get if we use Tesseract to extract all the tables and important information:.
As discussed, the core job of OCR is to extract all the text from a given document irrespective of template, layout, language, or fonts. But our goal is to pick all the critical information like customer name, form type, and financial details from the SEC forms that aren't handled by the top OCR engines like Tesseract and others.
Therefore, we rely on deep learning which is trained on huge datasets and enable the models to learn. To make the OCR and the deep learning models, one must train them with consistent data sets. Currently, there are no great tools available online that can automatically extract information from any form.
As this is publicly available data, we can download them company wise or use the available checkpoints present in open-source projects. Once datasets are downloaded, the next step is to use an annotator to annotate all the required information in the SEC forms. Using these annotation files, we can train the deep learning model. Here are links to some of the open-source annotation tools available on Github.
There are two ways for information extraction using deep learning, one building algorithms that can learn from images, and the other from the text.
Let's dive into deep learning and understand how these algorithms identify key-value pairs from images or text. Also, especially for SEC forms, it's essential to extract the data in the tables, as most of the information in SEC forms are mentioned in tabular format.
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