OCR is the text-reading layer
Optical character recognition, or OCR, converts text visible in an image into machine-readable characters. A business card app then has another job: determining which text is a person’s name, company, role, phone number, email address, or other field.
The basic scanning stages
- Capture an image of the card.
- Detect and correct the card’s orientation and perspective.
- Improve contrast and isolate areas containing text.
- Recognize characters and words.
- Classify recognized text into contact fields.
- Present the result for review.
Why recognition errors happen
- Decorative or unusually thin fonts can resemble other characters.
- Glare and shadows remove the contrast OCR needs.
- A blurred image hides the shape of small letters and numbers.
- Multiple languages or vertical layouts make field interpretation harder.
- Logos and graphical elements can be mistaken for text.
Why human review still matters
A result can look plausible and still be wrong. Email addresses and phone numbers are especially unforgiving because one character changes the destination. A good workflow makes correction easy and preserves the source image for comparison.
How to improve the input
Use even light, minimize reflections, hold the camera parallel to the card, and make sure small text is sharp. Better input gives recognition a stronger starting point, but review remains the final quality check.
