Instantly convert business card images into structured CRM leads. Upload business cards, process them using our multimodal LLM Models, and download organized CSV database files.
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Maker
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### π Maker's Comment Draft
Hi Hunters! π
Iβm **Sampad**, creator of **CardFlow**. Iβm incredibly excited to share CardFlow with all of you today!
#### π‘ The Backstory
Like many of you, every time I attend a conference, networking meet, or local event, I walk away with a pocket full of physical business cards. They usually end up sitting on my desk, gathering dust, because manually typing those names, emails, phone numbers, and LinkedIn URLs into a spreadsheet is incredibly tedious.
I wanted a frictionless, privacy-focused tool that could do this instantly in bulk. So, I built **CardFlow**.
#### π οΈ What is CardFlow?
CardFlow is an AI-powered utility that instantly converts business card images into a structured, organized CRM lead list.
Hereβs how it works:
1. **Bulk Upload**: Drop up to 50 card photos at once (or upload a ZIP file).
2. **AI Processing**: Our multimodal AI (powered by Vertex AI & Gemini) parses each card, extracting names, emails, phone numbers, titles, companies, websites, addresses, and social handles.
3. **Download CSV**: Click download and get a perfectly structured CSV file ready to import directly into HubSpot, Salesforce, or Excel.
#### π Special Launch Offer
We want everyone to try CardFlow out! By default, every account gets a **free daily quota of 50 business cards** (which resets at midnight UTC).
If you are a high-volume networker and need more, simply click the **"Increase Quota"** button on the dashboard after logging in, and we will happily bump up your daily limits for free!
#### π¬ Iβd Love Your Feedback
This is just the beginning for CardFlow. Iβd love to hear your thoughts:
* What CRM integrations would you like to see next (HubSpot, Salesforce, Pipedrive)?
* How was the extraction accuracy on your cards?
* Any features or workflows we should prioritize?
Thank you so much for your support, and I look forward to chatting with you in the comments! π
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