iOS app built with Swift for business-card scanning and Pipedrive sync
A native iOS app, built with Swift, that scans business cards, recognizes them via OCR and quickly syncs new leads into Pipedrive CRM.
Lead2Pipe in key figures.
The most important facts about this project.
Native iOS development
Automatic business-card recognition
Direct sync into the CRM
From scan to captured lead
Starting point
Where this project started.
Focus: Swift · iOS · OCR · Pipedrive API
Sales teams collect business cards at fairs and meetings that then get typed into the CRM by hand. In the process, time, contextual data and sometimes entire leads get lost.
How the solution came together.
The key steps and building blocks that define this project.
01
Native iOS app with Swift for a fast, reliable camera and scan experience right at the booth.
02
OCR pipeline that automatically recognizes name, company, role and contact details from the card.
03
Direct connection to the Pipedrive API so a captured contact lands as a clean lead in the pipeline within seconds.
Result
The stack of business cards becomes an automated lead flow: less typing, fewer lost contacts and a CRM that’s already up to date after the meeting.
What mattered in this project.
Strategy, design, technical structure and measurable progress come together.
Native iOS development with Swift
The entry point was built so visitors quickly understand the value and land directly in the right workflow.
OCR workflow for business cards and lead capture
Content, structure and technical implementation work together so the page not only looks good but stays discoverable and usable.
Pipedrive CRM sync for sales teams
The interface prioritizes fast orientation, clear paths and less friction between interest and the next action.
Which services are connected to this project.
Internal linking for SEO and clear orientation for visitors looking for similar support.
Websites, landing pages and digital sales journeys that build trust and generate inquiries.
Analysis of tools, ways of working and interfaces with concrete suggestions for better processes.
Consulting, automation and tailored applications with an AI layer for productive workflows.
More substantial work.
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