Human in the Loop: Using Confidence Scores to Build Reliable Document Extraction

Building a human-in-the-loop review flow for document processing using IterationLayer involves several key steps to ensure that the process is efficient and minimizes manual effort while maintaining accuracy. Below, I'll outline how you can implement this workflow.

Step-by-Step Guide

1. Extract Document Data Using IterationLayer

First, use IterationLayer's API to extract data from your documents and get confidence scores for each field.

typescript
 
1import { IterationLayer } from 'iterationlayer';
2
3async function processDocument(documentUrl: string) {
4    const result = await IterationLayer.extract({
5        document_url: documentUrl,
6        schema: [
7            // Define your schema here (e.g., "name", "address", etc.)
8        ],
9    });
10
11    return result;
12}

2. Threshold Routing

Based on the confidence scores, route each field to one of three tiers: auto-accept, review, or manual entry.

typescript
 
1const THRESHOLD_BY_FIELD = {
2    subtotal: 0.95,
3    tax: 0.95,
4    totalDue: 0.95,
5    vendorName: 0.88,
6};
7
8function routeFields(result
9
10[Read the full article at DEV Community](https://dev.to/iterationlayer/human-in-the-loop-using-confidence-scores-to-build-reliable-document-extraction-3pnb)
11
12---
13
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