Region Extraction
We reliably locate the text regions that should be read from documents and screens.
We design the full OCR flow including input quality, region extraction, result cleanup, and workflow integration, not just text recognition itself.
OCR is not finished by text recognition alone. Preprocessing and region detection must be designed together so text can still be read when documents are tilted, partially occluded, or poorly lit.
Odette builds OCR systems that reliably locate text regions in live images or documents, then post-process results into outputs ready for real work.
In real OCR environments, source documents often do not arrive front-facing. Perspective correction, region extraction, and resolution adjustment must come first for stable recognition quality.
We do not emit raw recognition as-is. Instead, we apply context and format rules to reduce errors and missing values, and can structure only the fields needed for each document type.
When needed, we connect live camera input, batch processing, review screens, and external system transfer so OCR results fit directly into real workflows.
System Elements
We reliably locate the text regions that should be read from documents and screens.
We correct tilt, perspective, resolution, and noise to produce readable input.
We reduce OCR errors and omissions by applying string rules and expected formats.
We connect APIs, review interfaces, and external delivery so OCR outputs can be used immediately in operations.