Clean and simple card. The photo was taken "on the spot" (as opposed to optimal conditions at home) with approximate lighting conditions. Results are still perfect because what matters even more is having uniform lighting across the card. Note also how the text is large - the result of gettting as close as possible to the card.
You can tell that cards like that will scan well: large font, no complicated logo, good contrast between font color and background.
A yellow background for a change! This card image scans quite well because the picture is sharp and up-close. Colored backgrounds sometimes hinder scanning but here there is still plenty of contrast.
No gallery of biz card images would be complete without our own biz card! This image has medium light quality, but good enough for scanning.
Note: the graphical logo on the top right will likely result in a small gibberish item in the scanned text, to be ignored when adding the info to the address book. It is not always easy for OCR software to determine when text is to be ignored so we let the user decide.
This card was taken "on the spot", at a meeting standing up with approximate indoors lighting conditions. You don't have to wait to get back to the office to scan cards lying on a desk, scanning on the spot can work fine and lets you start connecting right away!
Note: look closely at the "fi" in the email address. The 'f' connects with the dot of the 'i' and that may create a problem with OCR recognition - make sure to double-check and edit as needed! We make it easy by showing the zoomed-in image side-by-side with the text to edit.
Just a simple image - need a cup of coffee?
This one is not actually a business card, it's a street sign in Manahattan, but why not treat it just like a business card? Scan it and see for yourself
A clean-cut example, the relevant text fills most of the image so it is large and easy to scan. Medium light quality, but good enough for scanning.
Note: this image is oriented with the text pointing to the right so at the start of the scan, ScanBizcards will re-orient the image by rotating it counter-clockwise to show the text upright.
It's not always easy for OCR applications to scan images where the background color alternates on a same card. If you scan the image as-is, ScanBizCards actually returns acceptable results but you can improve these results by scanning in two steps:
- First crop (select) the top part with the red background and scan. Don't add to the address book yet: touch the back button to return to the card view
- Touch the "Rescan" button but this time select the bottom portion with the white background
Note: we probably miss the company logo here, you may need to enter it manually as a "Custom Field".
This example is another source of disappointment for some users: although a person looking at that card can read the details, the text is too small for good scanning. We recommend taking pictures where the relevant text fills as much as possible of the image.
Note: we still recognize some of the information here, but with many mistakes.
Such images can lead many to be disappointed: a person looking at that card would have no problems reading the text but unfortunately it's not as simple for the application. Multiple problem trip the software, including: poor lighting, slightly blurred, lines at an angle relative to the image frame. We plan to keep working on improving results for such images.
Note: rescanning areas one by one will help correct some mistakes, but let's face it, in this case you might as well type it all in! Then again, you may still find it convenient to be able to do that within the application, where you can see each item while you type the corrected text.
This image was taken just under a strong light, taking care to avoid shadows and reflection, but the type of bulb was incandescent and with a yellow spectrum, leading to a very poor image in terms of scanning. A big disappointment to a user who took care to get a good light - just the wrong color!
Update: we have been working on a solution to this issue for a while and are happy to report it's ready! As of Version 2.70, this yellowish card actually scans rather well, making just a one-letter mistake in the company name. We'll keep this image on the 'watch list' for now and we still recommend using ambient natural light or white-spectrum light. It also makes for a nicer image to look at in ScanBizCards' 3D view.