OCR API - From Character Recognition to Information Extraction
Learn about how to extract text from images, which tools work and which ones don't, when and why they fail, and how to drive process automation with better OCR products.
Data Extraction, Automation and Digital Transformation through Humans in the Loop workflows
Learn about digital transformations, what drives them, how to aid successful transformations, how AI and deep learning can help, the challenges with digitization, the future of work and humans in the loop workflows as a possible solution.
AI in KYC Automation: What Every Business Needs To Know
Learn about AML compliance and KYC verification, the risks and benefits of it and how your company can automate KYC processes to avoid fraud without losing customers.
How to use Named-Entity Recognition (NER) for Information Extraction
The problem requires us to create a pipeline that will convert OCR outputs of different kinds of documents to a key-value like structure where keys are all the important fields one might need from, for example, an invoice like - invoice number, name of vendor ...