Saurabh_Kumar_
Joined 1 year ago
Joined 1 year ago
While building fintech apps previously, I realized that GPT-4 is great, but getting it to read complex, messy invoices reliably (99.9%) is a nightmare. A 5% error rate is fine for a chatbot, but fatal for Accounts Payable.
I got tired of writing RegEx wrappers and retry logic, so I built SyncAI – a 'Safety Layer' for AI Agents.
How it works technically:
We ingest the PDF and run it through a mix of OCR + LLMs.
We calculate a 'Confidence Score' for every field extracted.
If confidence > 95%, it goes straight to your webhook.
If confidence < 95%, it routes to a Human-in-the-Loop (HITL) queue where a human verifies just that specific field.
Your Agent gets a strictly typed JSON 'Golden Record'.
Tech Stack: Python/FastAPI backend, React for the review dashboard, and we use a fine-tuned model for the routing logic.
The OCR Challenge: I know you guys are skeptical (as you should be). So I built a playground where you can upload your messiest, crumpled invoice to try it out without signing up: https://sync-ai-11fj.vercel.app/
Would love your feedback on the routing logic. I’ll be here answering questions all day!
Connects to your GitHub repo (OAuth, read-only). Scans for issues and generates a heatmap (red = urgent, yellow = watch, green = healthy). Quantifies debt in dollars/ROI (e.g., potential $67k/qtr saved), with a basic calculator for team size/salary.
It's fully open source free to use, and no sign-up for basic scans (waitlist for advanced reports). I'm a solo tech guy iterating on this—would love feedback from the HN community:
Does the dollar/ROI framing feel useful for convincing non-tech stakeholders, or is hours/grading scale better? What metrics/integration would make this more valuable (e.g., SonarQube ties, flaky test detection)?
Site/try it: cosmic-ai.pages.dev Thanks! If it feels off or simplistic, be brutally honest—I'll use the feedback to improve (or pivot if needed)."