Engineering Intelligent Document Processing.
We turn flat pixels into structured, actionable data.
The Problem
Every day, teams lose hours—and margins—to manual data entry. Invoices, contracts, and operational documents pile up as PDFs and scans, then get retyped into spreadsheets and ERPs. Errors compound, audits slow down, and the cost of "good enough" OCR stacks up faster than leadership notices. The bottleneck is not storage; it is turning unstructured documents into data your business can actually use.
The Solution — OCR Context
OCR Context is not another file converter. It is a vision for how document-heavy work should run in the age of AI: capture text with production-grade OCR, refine structure with language models, and deliver outputs your systems can search, route, and automate against.
We believe documents should be understood, not merely read. That means preserving layout where it matters, extracting fields with context, and building pipelines that scale from a single upload to enterprise batch workloads—without sacrificing security or speed.
Built with passion by a Solo Developer
Large teams ship process; a focused engineer ships product. OCR Context was built end-to-end by one developer who owns the full stack—from the Next.js experience you see in the browser, to the AI refinement layer, to GPU-backed OCR on Modal L4 instances. No handoffs, no committee delays: just tight feedback loops, modern tooling, and a bias toward shipping what enterprises actually need.