Document Processing

Test document classification and routing before production. Find the model that handles your document mix accurately—not just the demo examples.

It worked on test documents. What about the messy real ones?

Document classification demos look great on clean examples. But your real documents have inconsistent formats, OCR errors, missing fields, and edge cases. Without testing on actual production data, you're shipping blind.

01

Enterprise requirements slow everything

Customers require Azure for compliance, but Azure models lag months behind. You're stuck choosing between features and enterprise readiness.

02

Misclassification has real costs

Documents routed to the wrong department mean delays, rework, and frustrated customers. But you can't measure misclassification rate without testing at scale.

03

Format variety breaks models

Documents arrive as PDFs, images, emails, scans. Different formats, different quality. One model doesn't fit all.

How Lovelaice solves this

Test classification on your actual document mix. See accuracy by category, identify failure patterns, iterate without engineering.

Step 01

Bring documents from each category

Upload examples of every document type you need to classify. Include the edge cases—the ones that confuse your team too.

Bring documents from each category
Step 02

Test classification accuracy

Run experiments across models. See accuracy per category—maybe invoices work great but contracts need improvement.

Test classification accuracy
Step 03

Identify and fix failure patterns

See which documents fail, why they fail, and iterate on prompts or rules to improve accuracy.

Identify and fix failure patterns
Step 04

Deploy with confidence thresholds

Set confidence thresholds for auto-routing vs human review. Know exactly what accuracy rate you're shipping.

Deploy with confidence thresholds

Where teams use this

Enterprise document management

Route documents to the right department automatically. Handle millions of documents per customer.

Insurance claims

Classify incoming claims, route to appropriate handlers, flag priority cases.

Shared services

Central document processing for multiple departments. Consistent classification across the organization.

Customer correspondence

Sort incoming emails and documents. Route to support, sales, billing automatically.

What teams discover

Testing document classification reveals model performance on real-world complexity.

>10x
Cost reduction by using a lowe level model which achieves higher accuracy
+30%
Accuracy improvements by finding the right model
50%
Of possible errors detectable by deterministic metrics

Ship document processing that actually works

Test on your real documents before production. Know your accuracy rate, not just your demo success rate.

Start for free