ScanBizCards: Ineffective OCR for Business Card Scanning
ScanBizCards suffers from ineffective optical character recognition (OCR), leading to poor information extraction and significant manual correction. Additionally, it lacks support for foreign languages, further limiting its usability.
7 different people have complained about this since 13 Sept 2021, most recently on 29 May 2026.
- “ScanBizCards — Poor transition of information.”
- “ScanBizCards — Edit fields are a nightmare.”
- “Also does not support any foreign language.”
7 people in 7 posts across 1 source · demand low, pain low, competition moderate
The pain
shares of 7 quoted postsWhat goes wrong, and for whom
- Who
- 7 people using ScanBizCards
- What goes wrong
- Wastes time14% of posts
- Missing feature14% of posts
- Manual work14% of posts
- How bad
- 57% of posts are complaints
- Since
- 13 Sept 2021 → 29 May 2026
Is this a startup idea?
Not directly. These are complaints about a product or service people already use — the fix belongs first to that provider.
- Complaints are about
- ScanBizCards
- Looking for something else
- 0% want an alternative · 43% ask the provider for a feature
- What the numbers say
- Almost nobody is looking for a different product — people want this provider to fix it, not a new option.
The pain — what people say
Their asks, who is writing, and the posts themselves
What people were doing
Every post behind this page, by what its author was doing — and when each one was written
- Complaint457%
- Request343%
Sources
7 signals · 1 sources
Evidence
Raw public posts behind this opportunity — click through to the original
ScanBizCards — Poor transition of information Tried this app, it can't seem to properly duplicate the text on cards. Populates data into the contact fields incorrectly with spelling and caps errors. Sometimes misses the states in the address, especially with my contacts from out of the country. It can't seem to…
Wastes timeScanBizCards — Edit fields are a nightmare App works pretty well, however, it doesn’t scan correctly and manual editing is required on 9 out of 10 scans. The picture overlays the field you try to edit and it’s a freaking nightmare to edit the info. According to Grok, this has been an issue for over 10 years. Get it…
Strong complaint…m to improve Just downloaded the app and scanned the first 10 cards. Each one had to be manually corrected. Errors varies from titles, to combining last names, dropping letters, to jibberish. OCR has room for improvement.
Manual work…Tried 5 business card and none of them can be OCR 100% correctly. Also does not support any foreign language.
Missing featureScanBizCards — Unfortunately the worst ocr I've tried Had high hopes for this one, have tried many, ScanBizCards however has gotten just about every line wrong in multiple tries. Tried lite version as well with same result. Love the LinkedIn feature of it worked correctly.
Market and score
Products already there, how the score moved, and what it is made of
Opportunity history
Every score change is stored as a snapshot — click a sub-score to overlay it
Why did it move?
Score 25.8 → 21.6 · 28 Sept 2026, 18:00 → 19:15 UTC
How the score was measured38 measured values behind the seven sub-scores · each shows the value, then the points it earned out of 100Show ↓Hide ↑
Questions about this idea
- Is Ineffective OCR for Business Card Scanning a startup idea?
- Not directly. These are complaints about a product or service people already use, and the fix belongs first to that provider. The page shows what is frustrating users and how badly — not an open market to start a company in.
- How many people have this problem?
- 7 different people described it independently, in 7 mentions, the earliest from 13 Sept 2021 and the most recent from 29 May 2026. The quotes, with dates and links to the originals, are in the Evidence section.
- Is this problem getting worse?
- Current status: stable — mentioned at a steady rate. Momentum is 43/100, measured as how often it is mentioned recently compared with before.
Adjacent opportunities
Nearest neighbours by embedding similarity
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