From business card to CRM contact.
CardCapture turns business cards and digital contacts into structured, reviewable CRM records while preserving the context of where the relationship started.
The business card isn't the useful part. The contact data is.
Networking events, conferences, meetings, and sales conversations can generate valuable contacts quickly. Those contacts often stay on physical cards or require someone to manually enter them into another system.
Even after a card gets transcribed, context like where the person was met can easily disappear.
CardCapture was built to shorten the path between collecting a contact and having an organized, usable CRM record.
How It Works
Six steps from a card to a contact record
CardCapture moves a contact through capture, extraction, validation, and review before anything reaches a CRM.
Send a business card photo or digital contact through Telegram.
Identify the event or source so the relationship keeps its original context.
Multimodal AI converts the card into structured contact information.
Validation rules identify missing information, formatting problems, and possible duplicates.
The contact can be reviewed and corrected before the user chooses what happens next.
Send the structured contact to HiveCRM or export it for another system.
From a card in your hand to organized data ready for follow-up.
AI extracts the information. People handle the judgment.
CardCapture uses multimodal AI to extract structured contact information from whatever comes in:
After extraction, CardCapture checks the record for missing information, formatting problems, and potential duplicates. Anything that needs attention can be flagged for review rather than automatically making assumptions about the data.
The result combines AI extraction with deterministic checks, human correction, and workflow automation.
Remember where the relationship started.
Contacts can carry an event or source, making it possible to organize and filter contacts based on where they were collected.
Examples of event tags a contact might carry, not records of specific events.
Extraction is only useful if the data goes somewhere.
Once a contact is ready, it can be sent into HiveCRM through a manually triggered, one-way transfer. Nothing moves to the CRM until the user chooses to send it.
CardCapture also exports contacts as CSV files for other systems, including a HubSpot-formatted export.
This kind of tool-to-tool data flow is part of Hive Nova's broader CRM and tool integration work, connecting systems so records stay current without manual re-entry.
Prototype Validation
These figures reflect prototype validation artifacts, not customer deployment metrics.
Built for imperfect inputs.
Business cards aren't standardized. They can be rotated, dark, unusually formatted, two sided, or difficult to read.
CardCapture's primary extraction path uses multimodal AI. If that extraction fails, the system falls back to traditional OCR with image preprocessing.
QR codes and digital contact files can also provide structured information directly, without needing to read a photo at all.
Built With
Current Status
CardCapture is a working Hive Nova prototype that has been tested with business card and digital contact data. Existing prototype artifacts include structured exports and corresponding records transferred into HiveCRM.
The next stage would focus on broader real-world validation, measuring extraction quality and processing time, and refining the experience for production use.
Where else is manual data entry slowing your team down?
Hive Nova builds practical automation around the way your business actually works.
Book a Call