KlearStack delivers 90-95% accuracy and 65-70% reduction in manual efforts within 90 days of implementation. Hence, don’t just extract data, gain actionable insights into your business operations. The in-build document decision support system not only allows KlearStack to scrape PDF to Excel, but also ensure the quality and integrity of the extracted data. This concept makes KlearStack capable of intelligently scanning unstructured/semi-structured document PDFs, interpreting the document data, understanding the context of document fields, and extracting meaningful data into the spreadsheets. #Ocr pdf to excel expense sheet softwareThe software combines AI, Machine Learning (ML), Natural Language Processing (NLP), and API interfaces to create the concept of intelligent and scalable document processing. KlearStack is the exact definition of a fully automated data extraction OCR technology that drastically reduces human intervention while improving the accuracy and productivity of the internal business operations. The cloud-based, AI-enabled data extraction software we were referring to is KlearStack – a template less, end-to-end automated, with document decision support technology. What if you have a cloud-based, AI-enabled data extraction software, that doesn’t need any on-premise infrastructure set up and saves you thousands of dollars? AI-enabled OCRs do it all for you as they can interpret the field data and understand the context before extracting it into the spreadsheets. Hence, if you smartly integrate AI with OCR technology, you don’t need templates for OCR Reader to Excel conversion, check extracted data for accuracy, and validate documents for approval. Instead, it interprets the underlying relationship between data sets and uses it to proceed with its tasks. It adds a whole new layer of intelligence to machines so they can emulate human behavior and take decisions on their own.ĪI doesn’t need pre-fed rules to operate. Oh! Did we mention, replace OCR technology with AI-enabled OCRs, before you start?Īrtificial Intelligence (AI) is a revolution in the automation industry. #Ocr pdf to excel expense sheet full“Isn’t the process risky and probably full of anomalies?”, you might ask. Send the documents for approval and take desired action.Keep the data unaltered as it gets imported in the sheet from OCR. Don’t check your spreadsheets for invalid data.Let the documents be scanned as they enter into the system. Do not create any templates to feed in the OCR software.Don’t structure your data – if your documents are unstructured, keep them in the same state.Let’s follow a simple approach to export data from PDF to Excel. It clearly highlights the unproductivity and inefficiency of your internal business operations, later visible on the entire business. If you backtrack the process, you can calculate how long and how much you are spending on mere data extraction (creating templates, validating extracted data, making changes, and sending for approval!). Also, it cannot work with unstructured or semi-structured documents. It consumes excessive time, money, and resources until the whole process gets executed. #Ocr pdf to excel expense sheet updateThe staff has to manually check and update the extracted data for validation and approval. #Ocr pdf to excel expense sheet codeSince it is impossible to code templates for thousands of document variations, abundant manual work comes into picture to rectify errors as a result of variances.A slight change in the position of document fields confuses the OCR and it might result in a costly error. It only looks for the position of the field as defined in the template and extracts data accordingly. Traditional OCR technology cannot interpret data, and hence, do not understand the context or meaning a field conveys.The inability of traditional OCR technology to deal with diverse document formats/structures/ layouts affects the system’s accuracy and requires high amount of manual intervention to ensure the integrity of the extracted data. Document processing is incomplete until the document scans against all the anomalies, meets the required standards, and routed for approval from the authorized departments. Mere OCR Reader to Excel conversion is not enough.When the OCR recognizes a document with variations (different layout than the pre-fed template), it either makes mistakes in extracting data or skips the entire document. These algorithms create templates, separate one for each document type, language, format, and layout. Traditional OCR technology works on pre-fed template-based algorithms to extract data from documents.
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