Parallel OCR that scales.
Quality that beats the rest.
Our OCR pipeline processes pages in parallel across distributed workers — scale throughput by adding resources. Combined with multi-pass verification, we achieve accuracy that traditional single-pass OCR can't match.
Parallel Processing
Each page is OCR'd independently. Split a 10,000-page batch across 100 workers and finish in minutes, not hours.
Multi-Engine Consensus
We run multiple OCR engines on each page and cross-check results. Disagreements trigger deeper analysis — catching errors a single engine would miss.
AI Post-Processing
LLM-powered correction fixes contextual errors — misspelled names, broken tables, garbled numbers — that raw OCR output always contains.
Watch pages flow through parallel OCR
Add more workers to see how processing speed scales linearly. Each worker handles pages independently — no bottlenecks.
Why multi-pass beats single-pass
See the difference between standard single-engine OCR and our multi-engine consensus with AI correction.
Invoice #INV-2O24-O847 Billed to: Macquane Legal Partners ABN: 51 824 753 l96 Amount Due: $l2,45O.OO Due Date: l5 March 2O25