Computer Vision (OCR)
Extract data with our best OCR Framework
Optical Character Recognition or Optical Character Reader is the mechanical or electronic conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene-photo (for example the text on signs and billboards in a landscape photo) or from subtitle text superimposed on an image (for example from a television broadcast).
Flologic’s OCR framework enables converting scanned images and documents into computer readable format. The cloud based framework which includes Artificial Intelligence and Machine Learning allows real time processing of documents and images to derive meaningful information for further processing. It is a robust and scalable architecture that can scale for various document volumes.
The framework also consists of a Web Portal which allows monitoring and managing OCR activities through out the organization with role based security. The framework exposes REST API’s for easy integration with their party products and services which in turn provides high availability options.
Invoice & Accounts Payable Processing
Extract header and meta data invoices with an unknown layout, detailed data from invoices with a known layout.
HR Forms & Applications
Payroll reports, interview applications, forms and surveys can be extracted and saved in various formats.
Purchase Orders and Sales Orders
Extraction of vital data required for enterprise data integration from purchase orders or sales order
Standardized Contracts & Agreements
Extraction of data from various certificates, contracts, licenses and agreements and other legal documents
Shipping Orders & Delivery Notes
Extract delivery reports, shipping notices, bill of lading or other Shipping or Delivery related documents.
Product & Price Lists
Extraction of data from product catalogs and price lists in an excel format
Fillable PDF Form Processing
Collection of data from rental application forms, loan applications, quick claim deed forms
Collection of data from bank statements, credit card statements, and other recurring financial documents
Ability to recognize text via OCR eliminates paperwork resulting in smooth functioning of the process.
The low processing cost of OCR ultimately reduces total cost of the process for enterprises.
The high degree of accuracy increases the value of the information available, enabling enterprises to control the quality of data
Increased storage space
The output format for OCR recognized information can be saved in computer readable xlsx, json, txt, xml, csv, etc. making it smaller in size.
Makes documents editable
Being text editable and searchable it gives easy access of the recognized information to the enterprises to function smoothly.
Highly accurate recognition of machine-printed text and hand-printed text that can be performed as full-page or field-level recognition
OCR offers document conversion into text searchable pdf, xml, csv, xlsx or txt format.
AI component to detect the formatting elements such as tables, headers and description.
Fast and accurate speed of recognition of imported documents.
Free up storage space by scanning paper documents and creating a digital file.
Inputs in image formats can be processed with the same speed and accuracy.