![]() ![]() With almost 90% accuracy in the data extraction of the physical documents such as invoices, receipts, bills of lading, loan documents and so on, KlearStack AI is an Intelligent Document Processing software that can allow data extraction, validation and classification from a variety of documents. The AI, using machine learning, can evolve and learn from such inputs. For instance, KlearStack AI can easily differentiate between who is the supplier and the distributor if invoices from the same vendor are processed over and again. KlearStack AI uses Intelligent OCR that can capture just not data to extract text from PDF image or other documents but also get the contextual meaning of the document to ensure that data fields are automatically field in while processing documents such as invoices, receipts and so on. The clearer the documents are, the more accurate will be the extraction of data. This can be a huge boon for users as well as organizations. There are OCR systems that can also provide error-correction features and can convert extracted data to different languages. But this reduces the number of checks required manually as the systems get a contextual understanding as more documents are processed. Documents, apart from PDF, can be scanned images or handwritten block letter documents. Intelligent OCR takes a different form of AI models at identifying and recognizing a various number of fonts and handwriting styles. But to extract text from PDF image or any other document with 100% accuracy, manual proofreading of some degree is required after the data is extracted automatically. Most OCRs can deliver anywhere between 95% to 99% accuracy in terms of extracting data. Irrespective of which font is used, the character “A” will be identified by the system.Ĭomplex OCR solutions can also go above and beyond simple text extraction, Tables, layouts, columns and other variety of data extraction are possible to extract text from PDF image and other documents. A rule will be specified to a program to detect “A” as two-angled strokes making a pointed end at a top and having a horizontal line crossing between the two strokes. Let’s understand how the system recognises the letter “A”. The new and updated OCR systems have detection features such as pattern recognition where every character or symbol is analyzed instead of just detecting the font. Users can export these documents as PDF, CSV, JSON or Excel files or convert them to different file formats. Once the algorithms read data from the OCR, the system extracts and converts documents to editable texts. The technology recognizes line items and those documents character by character, by going through entire documents carefully. Users first upload scanned images of the documents on the systems. Old OCR technology was designed with limited fonts to extract text from PDF documents. Most modern and efficient OCR technologies today are capable of understanding numerous fonts in documents, blocks as well as cursive handwritten text. OCR identifies letters, characters, symbols and other textual content by recognising patterns of light and dark areas. ![]()
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