NeuralSpace's Intelligent Document Processing (IDP) uses Machine Learning to automatically classify documents and extract data, reducing document processing time by up to 50%. It streamlines and automates operations for businesses looking to digitise their manual document management in over 100 languages. Information can be extracted from any document type regardless of layout, language or quality of document.

How does it work?

IDP uses (Optical Character Recognition + Named Entity Recognition) to codify scanned documents, in order to detect words, and other entities such as name, date of birth, account number and any other information required to be extracted and stored.

The solution can process structured, semi-structured and unstructured documents in a variety of formats including accounts payable invoices, pick up tickets, statements, audit reports, trade licenses and passports and ID cards. Once processed, the data extracted from a document is then integrated and automatically sent through into your back-end business system.

Document classified -> Text encoded -> Data extracted -> Data integrated into back-end system

Key benefits

• Reduce human error (our document processing models are up to 99.5% accurate)
• Eliminate manual workload (some of our customers have reduced the amount of manual work required by 60%+)
• Process documents faster and at scale (documents are processed in seconds and the system has unlimited scalability)
• Pay as you use (volume based SaaS pricing and flexible deployment options)

Key features:

• Supports both batch, streamed and multi-page processing
• Able to work with documents in 100+ languages
• Customisable to work with all document types
• Extracted information is able to be easily transferred into your system