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Results & Case Studies

Beyond Character Recognition.
Applied Intelligence.

Turning messy, unstructured physical reality into clean, structured digital infrastructure in sub-second speeds.

Secure Processing

Enterprise-grade encryption and optional local region hosting for data sovereignty.

Sub-Second Processing

Average document extraction time of 1.2 seconds even for complex scanned structures.

99.8% Accuracy

Neural Context Engine understands business intent, completely eliminating typing transcription errors.

Immediate ROI

Operations report a verified 40% overhead reduction in manual processing cycles within 30 days.

Case Study #01: Manufacturing

Solving the Jewellery Bulk Billing Dispatch Gap

The Problem:

In bulk jewellery billing, each shipment has roughly 500 stacked boxes. Manual barcode scanning at POS dispatch counters consumed excessive time per bill, capping output speed.

The Solution:

Implemented **Perspective-Aware Label Ingestion**. Dispatch staff capture a single photo of the stacked boxes. Doc59 corrects angles and extracts 50+ item SKU values in parallel, reconciliation records in ERP instantly.

30s

Full Stack Audit

100%

Dispatch Visibility

DISPATCH CAMERA CLOUD LABEL CLOUD OCR
Stacked Ingestion Active
Perspective correction: SUCCESS (12.2° Pitch)
HANDWRITTEN ESTIMATE SCAN MULTI-PATTERN OCR
// RAW HANDWRITING INTERPRETATION

"Brake pad replacement front - ₹4500" → Mapped: SKU-BRK-44

"Engine oil swap 4L synthetic - ₹3200" → Mapped: SKU-OIL-99

OCR Noise Filter: 98.4% Confidence
Case Study #02: Retail & Automotive

Mechanic Handwritten estimates mapped directly into ERP systems

The Problem:

Workshop mechanics compile handwriting estimates under vehicles. Translating these grease-stained sheets containing manual descriptions and scribbled prices into ERP systems consumed hours and led to inventory errors.

The Solution:

Deployed Doc59's **Neural Context Engine**. Service advisors upload a snapshot of the work sheet. The AI isolates handwriting, standardizes descriptions, matches internal catalog SKUs, and maps data directly into billing records.

98.4%

Mapping Accuracy

1.2s

Avg Ingestion Speed

The Core Difference

Context Filters Reality Into Clean Data

"Whether it's grease stains from a workshop floor or overlapping SKU labels on box dispatch stacks, the bottleneck isn't the text itself — it is the surrounding noise. Doc59's Neural Context Engine filters out noise semantically. That's why we deliver where traditional OCR software fails."

Doc59 Intelligence vs. Legacy OCR

Capability Legacy OCR Doc59 System
Handwriting Interpretation Fails on hand notes ✓ Multi-model context reading
Noise & Smudge Filtering Rejects occluded files ✓ Contextual noise isolation
Template Dependency Custom coordinate setups ✓ Template-free AI extraction
Integration Methods Heavy local SDK setup ✓ Direct webhook & ERP connectors
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Need a customized document solution?

Get in touch with Websmith Solutions. We build and deploy custom enterprise-grade document extraction models.