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Infrrd OCR Review

Product Snapshot

Product Pricing

Contact vendor directly for pricing information.

Technology

Platform is available as a SaaS solution, an on-premise solution, and as a hybrid solution.

Customer Focus

Vendor works with midsize BFSI, healthcare, loyalty and marketing companies.

Select Customers

GE, Levi’s, Staples, Chrome River, Radian

About Infrrd OCR

Infrrd OCR is an enterprise machine learning OCR suite with interactive artificial intelligence (AI) algorithms that organizations can utilize to extract data. It is a focused AI platform that offers predictive algorithms, natural language processing (NLP), and computer vision to boost productivity.

The product uses machine learning to derive actionable insights from big data and offers these insights to enable users to automate extraction and make smart decisions. Additionally, the platform provides support for new fields like billing time, date, transaction number, subtotal amount, tax details, tender particulars, and basket discount figures and many others.

About the Company

Infrrd is headquartered in San Jose, California.

Infrrd OCR Key Features

Provides post-correction and enrichment
Faster, optimized extraction speed and processing time reduced to 1/3rd
Better accuracy due to advanced NLP and entity recognition improvements
Customer level customizations of the extracted data allows splitting of the data, addition of different response structures or new fields
Image stitching capability allows unbound items of 2 or more scans from large document pages to be stitched together based on the overlapping sections, and then extracts data from the single stitched image
Compliance rules applied ensures that the OCR meets contractual obligations and stays compliant with GDPR
Improved reference data integration through the use of APIs to feed in meta-data for intelligent matching with the scan output
Mobile SDK can be integrated with the clients’ applications to scan receipts using IOS/Android smartphones in real-time, and provides edge detection, edge adjustment, blur detection, and multi-upload