What business card OCR does
Business card OCR converts a photo or scan of a business card into editable text. The output includes every field on the card — name, designation, company, email, phone numbers (sometimes multiple), website, physical address, and social handles — in reading order.
Why business card OCR is usually trivial
Business cards are small, high-contrast, and use clean fonts. AI vision reads almost all business cards with near-perfect accuracy. Even cards with unusual layouts (vertical, dual-language, glossy stock) work fine.
Step-by-step: OCR a stack of cards
1) Lay each card on a dark surface. 2) Photograph one at a time with even light. 3) Upload each photo to VisionDraft. 4) Copy the extracted text into your CRM, contact app, or spreadsheet. A stack of 50 cards typically takes 15–20 minutes.
Bilingual business cards
Cards with English on one side and Hindi/Chinese/Japanese on the other are read in two passes (one per side). Cards with both languages on the same side are read in one pass with both scripts preserved.
Structured field extraction
VisionDraft currently returns the card text in reading order. Auto-classification into Name / Email / Phone fields is on the roadmap. For now, the manual copy-into-CRM flow is still 10× faster than retyping each card.
Use cases
Conference follow-up — turn a stack of cards into a contact list before the inbox cools off. CRM onboarding — pre-populate Salesforce or HubSpot from a phone photo. Networking — capture cards into your phone contacts without dedicated scanner apps. Sales pipeline — digitize a sales rep's backlog of trade-show cards.
Phone-app alternatives
Dedicated apps like CamCard auto-classify fields. VisionDraft trades that automation for a much broader OCR engine that works on anything — cards, books, screenshots, scans. If you primarily process business cards and nothing else, a dedicated app may suit you; if you OCR a variety of documents, VisionDraft covers all of them.
Privacy
Contacts are personal data. Uploads are processed only to extract text and are not retained long-term, shared, or used for training.
Tips for cleaner output
Shoot in landscape if the card is horizontal. Avoid flash — it creates glare on glossy stock. Lay multiple cards on a flat surface and photograph each separately, not as a grid.
Try business card OCR free
Snap any business card and drop it into the converter. The free tier handles essentially all personal and small-business card-digitization workflows.
How to use business card OCR
- Photograph the card. Dark surface, even light, no flash.
- Upload. Drop the photo into VisionDraft.
- Run OCR. Click Reconstruct document.
- Copy to your CRM. Paste the extracted text wherever you store contacts.
VisionDraft vs Legacy OCR (Tesseract / template-based tools)
| Feature | VisionDraft | Legacy OCR (Tesseract / template-based tools) |
|---|---|---|
| Reads phone photos with glare | Yes | Often fails |
| Hindi + English on one page | First-class | Limited |
| Per-word confidence + zoom verify | Built in | No |
| DOCX / PDF export | One click | Copy-paste only |
| Cost | Free | Free / paid |
Frequently asked questions
- Does it work on glossy cards?
- Yes — avoid direct flash to reduce glare.
- Can it extract structured fields?
- Not yet — output is in reading order. Auto-classification is on the roadmap.
- Bilingual cards?
- Yes — both scripts are read in the same pass when on the same side.
- How many cards can I process?
- No hard limit — process one card per upload.
- Is it free?
- Yes — business card OCR is part of the free tier.
- Will my contacts stay private?
- Yes — uploads are not retained long-term or shared.