Now assume that you are using an app that has a recall of 80% and a precision of 70%. To give you a sense of what these numbers mean, assume that you have a business card that has 10 data elements on it (very typical). *Contacts+ Business Card Scanner is represented as “FullContact Card Reader,” as this was published when we were previously owned by FullContact. You’ll note that we have removed CardMunch from the results, as LinkedIn has shut down CardMunch. Images of 50 US based business cards were run through each iPhone app. Popular Business Card Readers on iTunes ApplicationĪs mentioned, there is a big difference in accuracy of business card readers based on the technology used in transcribing the card. The concepts of precision and recall were used to compare the various apps. However, the downside is that results usually take much longer to get back from human-based systems.ĭo you have the time and patience to scan cards, fix the transcription, and then save them with the benefit of having the data immediately? Or, would you rather snap a photo of the card and go on to other things - with the caveat that the data may not be available to you for thirty minutes or maybe longer? On the flip side, Human Transcription is typically much more accurate than OCR transcription. In most cases, the user has to manually “fix” the transcription prior to saving the result. The down side to OCR, however, is that accuracy of transcription is typically poor. When a business card is transcribed using OCR technology, the result is usually available to the user right away. Each has its advantages and disadvantages.
The first thing to know is that there are basically two technologies used in business card transcription: (1) OCR (optical character recognition) and (2) Human Transcription. Here are a few things to look for when making that decision: Business Card Reader Transcription Technology It really comes down to what your goal is in making this determination.
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Summary: it will not be able to completely replace manual input even for fairly strict business cards with black letters on a white background and without too much information, but at least for such strict business cards.Ĭandid flaws in terms of recognition of texts of different colors.įrom the must-have functions, I would like to highlight a specific area of ​​the image for recognition, so that you can figure out how to test 1, when the name was ignored, and extra text was recognized instead.Q: What is the best business card reader app available on the iPhone?Ī: Well, that’s a bit of a loaded question because there are a few factors that go into it. The names did not recognize, offered the surname as the name of the company, patronymic as the surname. Test 5: strict business card - black text on a white background, I thought that there would be no problems here, although the ORACLE company name was their company font and red in the left, on the right, on one line the surname and patronymic name on the other. Test 4: vertical business card, black text on a light blue background with a pattern: the phone recognized, but the name does not, apparently because of the pattern, but taking into account the difference in brightness, the program is clearly a flaw. Test 3: design business card, text in a circle, different colors and sizes, did not even try :) On the one with red letters, I made a black-and-white picture in the phone in the editor, after that I began to recognize it better, even found a name, offering to save it as a last name
other fields - white on blue - something has come to define, but with big errors.
Test 2: two business cards with fairly colorful spellings of names: one white text on blue, the second red text on light blue - no names were found at all. The rest of the blue and black text on a white background were recognized normally. The name went nowhere, and the explanation fell into the field of the company name. Test 1: on a business card, a company logo and a large name to the right of the logo, below it in small print what the company does.
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