API that falls back to humans when AI is unsure
Hey HN, I’m the founder of SyncAI. Previously, I was building internal tools for a fintech startup. We tried using GPT-4 Vision and various OCR APIs to automate our Accounts Payable. They worked great for ~90% of documents. The problem was the other 10%: crumpled receipts, handwritten delivery notes, or invoices with weird layouts. In fintech, a 90% success rate isn’t automation; it’s a liability. We spent more time fixing the AI’s hallucinations than if we had just typed it manually. I realized that for high-stakes operations, we didn’t need "better AI"—we needed a Safety Layer. So I built…
API that falls back to humans when AI is unsure launched on January 12, 2026 with 5 votes, #3,400 of 14,584 launches that month and more than 75% of that year's launches.
What it does
Human-verified data extraction for autonomous AI agents. SOC 2 & EU AI Act Ready.
Verify every AI-processed invoice before payment. 99.9% Accuracy with Human-in-the-Loop verification. Extract structured data from any invoice format. PDFs, images, emails — our AI handles it all with 99.9% accuracy. Low-confidence fields (under 99%) are auto-routed for review. Receive verified data in real-time via HMAC-signedfrom sync-ai-11fj.vercel.app
In the maker’s words, at launch
Hey HN, I’m the founder of SyncAI. Previously, I was building internal tools for a fintech startup. We tried using GPT-4 Vision and various OCR APIs to automate our Accounts Payable. They worked great for ~90% of documents. The problem was the other 10%: crumpled receipts, handwritten delivery notes, or invoices with…
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