How to Extract Text from an Infographic? Some Tips for Graphics Designers: Thus, without wasting any time, let’s start this topic.
Irrespective of the types of infographics, the only way to extract text from infographics is with the help of tools based on a technology called OCR (Optical Character Recognition). So, before getting to the procedure of text extraction, let’s first understand the OCR technology. OCR (Optical Character Recognition) is a technology used to scan printed and handwritten text and convert the image representation of the text back into machine-encoded text. Two easiest ways to extract text from an infographic: This technology can be beneficial in extracting information from any content containing non-textual material, like images, charts, tables and diagrams. Many people know Google Docs for its word and text processing capabilities. Therefore, it provides the easiest and most accurate way to extract text from infographic design examples of Latin characters.īut people do not recognize that it also contains a hidden OCR engine, which works on the infographic design principles of Google’s image to text extracting technology. So, it doesn’t have the file uploading functionality. First, sign in to any browser with a Google account.But Google Drive fills the void of the file uploading feature in this OCR tool.
#Prepostseo ocr tool series
Google Docs will begin the scan, and after some time, it will display the extracted text from the infographics.Then, choose the ‘Open with’ Once the file is in ‘Google Drive, ’ select and right-click on it.Then, click on the ‘Open’ button to upload the infographic poster to Google Drive.Now, locate the infographics file through the opened sub-window and select it.Google Drive will display a series of further options.Now, access ‘ Google Drive ’ and click on the ‘+ New’.If a graphic designer has already signed into his Google account, he can skip this step. This technique is the perfect way to extract Latin text from infographics accurately. But it is not a universal technique because it only works with files having a size greater than 10 pixels. So, suppose a graphic designer wants to extract text from low-quality infographics. In that case, he can use the second method. Unlike Google Docs, the image-to-text converter is a dedicated OCR tool. But that’s not the reason for its popularity. Instead, its OCR engine is famous for dealing with low-quality infographics and infographics with mathematical equations. Therefore, if the above situations represent the use case of a graphic designer, he can use this tool. Now, graphic designers can upload the infographics files directly from the internet, cloud storage (Google Drive) and local computer storage.First, open the homepage of PrePostSEO’s image to text converter.Now, let’s get to the steps of this tool. The Image to text converter will begin the scan, and after some time, it will display the extracted text from the infographics.Once the tool has successfully uploaded the file, fill in the captcha by clicking on the check box against the ‘I’m not a robot’.So, for this example, let’s upload the same infographics file from the computer’s local storage. So, graphic designers can copy the extracted text with one click. Suppose graphic designers want to extract text from multiple infographics simultaneously.
In that case, this tool will separately show the extracted text from each infographic. Some Tips of the Trade to Consider While Extracting Text from Infographics: So, it is ideal for dealing with various infographics, low-quality infographics and infographics with mathematical equations. Infographics are a lovely visual treat and a great way to represent information excitingly. But sometimes, the OCR tools miss important typography details while extracting text from infographics. So, consider the following points to avoid data loss while typography extraction from infographics.No doubt JPEG (Joint Photographic Experts Group) is the most popular image format.But most graphic designers like to use PNG (Portable Network Graphics) because they support a transparent background. So, most OCR tools provide better results with PNG-type infographics than JPEG infographics.
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