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

Scanned Invoices & Financial Records

Finance teams regularly deal with invoices and statements that arrive as scanned PDFs. OCR extracts the text from these files so the data can be reviewed, processed, and stored without manual typing.

Reports & Business Records

Printed reports and archived records often become difficult to access over time. OCR converts these documents into digital text, allowing businesses to reuse historical information instead of recreating it.

Contracts & Legal Documents

Many contracts and legal files are archived as scanned copies. OCR makes their content searchable and readable, helping teams review documents faster and work more efficiently.

Forms & Printed Templates

Some forms are still filled out or distributed on paper. OCR captures the printed text from these documents, making it possible to extract information even when the document was never digital to begin with.

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.