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Most document automation projects fail because they rely too heavily on OCR.
OCR reads text — it doesn’t understand structure.
We’ve been working on a different approach: sending full-page documents to AI along with a structured field definition, allowing the system to return clean, usable data instead of raw text.
This shift improves accuracy, handles complex layouts, and supports multi-record extraction.
Curious how others are approaching document extraction beyond OCR.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
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This product page was designed in Figma and built in Shopify using Replo.
But here’s the difference:
I used Replo AI to translate the design into a working page fast.
The Process
- Designed the structure in Figma
- Used Replo AI to generate the base layout (works like lovable)
- Optimized for responsiveness and usability
What I Focused On - Even with AI, the focus was still:
• Clear value above the fold
• Strong product focus
• Guided storytelling
• Fast decision-making
• Trust signals at the right moments
Result is a fully functional Shopify product page:
• Built faster
• Structured better
• Easy to edit
• Optimized for conversion
great work 👌
AI Inference Observability Dashboard - Acts as an overlay for OpenClaw that improves analysis of autonomous agent operations. Works with local and cloud models and extracts tool chain calls with deep request/response details for logging and debugging.
AI Sales Automation SaaS Landing Page UI designed in Figma.
Focused on creating a clean, modern, and conversion-driven experience for startups automating sales calls, appointment booking, and follow-ups.
Available for SaaS and AI product design projects.
great work 👌
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