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API that falls back to humans when AI is unsure

Details

External ID
46593987
Source
HN
Company
—
Product
API that falls back to humans when AI is unsure
Website domain
vercel.app
Launched
Jan. 12, 2026
Cohort
—
Upvotes
5
Upvotes percentile
0.09617918313570488
Tags
—
Fetched at
Sept. 7, 2026, 9:25 p.m.
Updated at
Sept. 7, 2026, 9:25 p.m.

Description

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.

Enrichment

Theme
AI trading bots and financial intelligence
Vertical
Horizontal
Function
Agent / copilot
Audience
Developer
AI stance
AI feature
Project type
Commercial product
Normalized one-liner
api with human fallback for uncertain ai requests
Manually corrected
False

Could you build this?

Partial While the API wrapper and LLM invoice extraction pipeline are simple to vibe-code, providing an operational human-in-the-loop fallback service requires human workforce routing infrastructure and operational scaling.

What it would actually take: A functional system needs an ingestion API combined with OCR/Vision models and confidence scoring heuristics. When confidence drops below a threshold, tasks must be queued into a specialized workforce management platform (like Mechanical Turk, Scale Rapid, or a proprietary workforce UI) with SLA-bound dispatching and real-time webhook callbacks. The primary bottleneck is building low-latency queueing infra and managing an on-demand, vetted 24/7 human labeling workforce.

Discussion

2 comments analyzed.

Competitors mentioned: GPT-4, RegEx wrappers and retry logic

Concerns raised: Confidence thresholds instability under distribution shift, Models becoming confidently wrong over time, Static thresholds unreliability in production, OCR challenges with messy/crumpled documents

Feature requests: Combine confidence with explicit intent/scope constraints, Dynamic threshold adjustment instead of static thresholds, Distinguish between what system can infer vs. must escalate

Competitors

Other products that read as similar to this one — 91 launches clear the similarity bar, closest 8 shown.

Attention rank: #89 of 92 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 60 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a agent / copilot tool for Agriculture yet.