Everyone who has worked a few years in a card-exchanging business has the box: hundreds of cards in a drawer, sorted by nothing, containing at least a dozen people you genuinely need to reach someday. Typing them in at five minutes a card is 8+ hours per hundred — which is why the box never gets done. Here is how to actually clear it.
A good AI scanner reads a card from a phone photo in a few seconds: photograph, glance at the parsed fields, save, next. Realistic pace with checking: 25–40 cards an hour. Tips that speed it up:
For a real backlog, use an office copier or a phone document scanner to run the cards through as a multi-page PDF — a copier does 4–8 cards per page, a whole box in minutes. Then import the PDF into a tool that reads it with AI: each page is parsed, every card becomes a contact, and duplicates against your existing list are flagged for review instead of imported twice.
meishiscan reads scanned-card PDFs natively (one scan of your quota per page), and the same importer accepts Word documents — useful when someone once typed half the box into a .docx and gave up.
Check your drawer for the CSV era: exported Outlook contacts, a LinkedIn connections download, an old CRM export, an assistant's Excel list. Modern importers accept Outlook, Google and LinkedIn CSV formats as-is, map hand-made column names, and dedupe against what you already hold. Five hundred rows import in under a minute — this is the highest-value ten minutes of the whole project.
Email signatures, webinar attendee lists, a colleague's "here's his details" message: paste any text with contact details into a paste-to-contact tool and the fields fill themselves. Faster than typing even for a single person.
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