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…
What it does
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 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 SyncAI. It’s an extraction API that guarantees "Golden Records" (verified data) by routing uncertainty to humans. How it works under the hood: Ingestion: You send a PDF/Image via API. Ensemble Extraction: We run it through a mix of OCR and LLMs to extract key fields. Confidence Scoring: We calculate a confidence score for each specific field (not just the whole doc). The Routing Logic: If Confidence > 99% (and passes regex validation) → Auto-Approve (Returns JSON instantly). If Confidence < 99% → Routes to HITL (Human-in-the-Loop) queue. Verification: A human verifies only the low-confidence fields in a split-screen UI. Callback: Your webhook receives the strictly typed, verified JSON. We are positioning this for developers building Autonomous Finance Agents who need deterministic inputs. I’ve set up a playground where you can try it without signing up. Upload your messiest invoice/receipt to see if we can parse it: https://sync-ai-11fj.vercel.app/ Pricing is usage-based (per doc). The documentation is here: https://sync-ai-11fj.vercel.app/docs. I’d love to hear your feedback on the routing architecture or how you’re currently handling "AI hallucinations" in production pipelines.
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