How we ship AI features at Appify — PDF parser walkthrough
I added an AI PDF parser to the lead-qualification project from the last video - payslips, IDs and bank statements get extracted into structured fields in seconds using Claude's vision API. In this video I walk through how we design features like this at Appify Digital: data flow first, let the model do the narrow part, keep the human in the loop.
You don't need to have seen the previous video - this works as a stand-alone feature you can drop into any Next.js + Supabase project.
🎥 Previous video (lead qualification with AI voice calls):
• Vapi + Claude + Supabase: A Real-Time AI L...
🛠 Stack
Next.js · Supabase (Storage + Postgres + Realtime) · Claude API (claude-sonnet-4-6, vision) TypeScript
🔗 Links
GitHub repo: https://github.com/AppifyDigital/ai-lead-q...
Appify Digital: https://appify.digital/
Claude API docs: https://docs.anthropic.com/
💬 Got an AI feature you want to ship? We build production AI for startups and scale-ups → [email protected]
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#PDFParsing #AppifyDigital