POWERFUL
CLASSIFICATION
TECHNOLOGY
Files documents where they belong

AUTOMATIC
BOOKMARKING
Makes browsing large PDFs easy

FULL
AUTOMATION
Regardless of format

CONVERT SNAPS
INTO SCANS
With our Image Processing Toolkit

CONVERT SNAPS
INTO SCANS
With our Image Processing Toolkit

Welcome to Focal Point Software

We are a software development and consultancy company specialising in Intelligent Document Recognition software.  We develop software that enables the capture and understanding of document contents, regardless of source or format.

Document Analysis SDK

Focal Point's technology for understanding and processing the content of documents is available as the Document Analysis SDK.  Callable directly using a .NET API or via a web service interface, the toolkit provides the core technology required to embed sophisticated document processing technologies into any system, whether it's a dedicated capture platform, a content management system or a specialised business application.

Medical Records

Many healthcare providers are realising the benefits of a move away from paper medical records because of the improved access and search capabilities that digital records provide.  However, practitioners are often resistant to the change, as it can be significantly more cumbersome to 'leaf through' a large scanned file compared to the paper originals.

Focal Point's automatic categorisation software can help significantly with this dilemma.  By assigning a category (admissions record, consent form, test results etc.) to each document within the file along with other data such as document date, it becomes significantly easier for a practitioner to locate relevant information.

SharePoint

For many organisations, SharePoint has become the workplace of choice for all forms of document, scanned or electronic.  However, despite the many advantages in desktop and IT integration this brings, a 'bare' SharePoint installation lacks many of the automation tools people have come to expect in dedicated document capture and management systems.