Artificial Intelligence Square 9’s TransformAI captures data from documents by intelligently discerning the identity and location of information on each page and completely forgoes the use of template based data extraction. Advanced OCR Technology Automatically recognize your document formats and apply the correct data extraction rules
Our capture research from last year identifying the most common benefits and issues with centralized, distributed and outsourced capture; Below are some questions to help you identify the best solution for you; Location of paper documents Necessary access to files during conversion Necessary document preparation Necessary quality control Necessary metadata or data extraction Necessary security Etc How do you determine the best solution?
If you are in need of a reminder, these are just some of the services that can be provided to you: Store and manage paper files and boxes including certified paper destruction when requested Document scanning/capture of virtually any size paper document or microfilm Improve image quality of deteriorating documents – saving documents after a disaster has struck and be an important step to recovery and restarting your business Conversion of the document image to a PDF or other formats as specified such as JPG Data extraction and upload to your back-end processes Data Entry OCR/ICR/Marksense Forms Recognition Indexing with your designated metadata/taxonomy Full-text conversion of large documents like contracts Redaction of data on the image such as a SSN or other PII Upload index data and image files to your system for search and retrieval Automate processes via workflow – such as an accounts payable process Store and host all of your electronic data Provide disaster recovery services Professional services/consulting to help you better understand how to make the best use of their services and your processes Be there to help your business work faster and be more productive – these companies like a challenge What kind of documents and information do they handle?
Good question and the answer is to improve Forms Processing data extraction accuracy. Typically when people use Multistream they will output a color version of the image and a bitonal (black and white) version of the image
Taking the Paper Out of Work Paper-based work is a soul-crushing, profit-sapping drag on individual, team, and company productivity. Paper literally smothers innovation, creating a competitive disadvantage. The Square 9 AI-powered intelligent document processing platform takes the paper out...
With the government incentives starting now, there’s no better time to introduce powerful and accurate recognition and data extraction tools. By digitizing and centralizing medical records that can be sent to different providers, EHR will help institutions avoid mistakes and provide better care for patients
Because of this the demand is not so much on data extraction, but data classification
Provides a comprehensive test capability of data extraction results. Many solutions have limited capabilities to actually see real world results, in context of the document and to make refinements
Automatic document identification, recognition, indexing, data extraction, and validation capabilities to reduce the manual effort required for indexing, document vetting, and passing information to downstream processes
Performing the data extraction as a seperate function prior to selecting a new solution took created a level playing field that allowed SECUWA to evaluate each solution on technical merits instead of worrying about how the data would get converted
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