Optical Character Recognition (OCR)

Many businesses still rely on scanned documents, PDFs, and image files for invoices, contracts, and records. Without OCR, the data inside these files remains difficult to use. ChromeIS Optical Character Recognition (OCR) converts printed and scanned text into usable digital content.

It works reliably with documents of varying quality, layout, and format, making scanned information accessible for automation and everyday business workflows.

Where OCR Fits in Business Workflows

Accurate Text Recognition

Converts scanned documents and images into readable digital text.

Handles Complex Documents

Processes forms, invoices, and multi-page documents with consistent accuracy.

Clean & Usable Output

Delivers clear, editable content ready for review or automation.

Multi-Format Conversion

Transforms files into structured formats such as searchable PDFs, Word, or data-ready outputs.

Language & Layout Awareness

Recognizes different languages, fonts, and document layouts reliably.

Faster Digital Processing

Reduces manual effort by quickly converting physical documents into digital data.

OCR Processing Flow

Optical Character Recognition (OCR) converts scanned documents and images into editable, searchable text by analyzing the layout, shapes, and spacing of characters. It speeds up document processing by automating text extraction, reducing manual entry, and improving accuracy. OCR is used in industries like healthcare, finance, and legal to handle large volumes of paperwork quickly. With AI advancements, OCR has become more accurate, even with poor-quality scans or handwriting, helping businesses save time and better manage data. OCR also enables easy integration with digital systems, making it faster to access and share data. It supports multiple languages and complex document structures like tables and columns. As the technology improves, OCR continues to streamline workflows, enhance productivity, and unlock valuable insights from previously unstructured information.