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Batch verifications are held up even if there's an error just in a particular section. Low accuracy with low resolution images/documents. 
Could have better integration with RPA solutions. Automatic processing of invoices not set up. Initial setup can be difficult and complex. Automates data extraction from documents (to an extent). Easy to store hard copy result in system. ABBYY FlexiCapture for Invoices - Demo Video You can also schedule a demo to learn more about our OCR use cases! A super-happy Nanonets userįlexiCapture is a stable, scalable document imaging and data extraction software that automatically transforms documents of any structure, language or content into usable and accessible business-ready data. Get started with Nanonets' pre-trained OCR extractors or build your own custom OCR models.
Seamless 2-way integration with multiple accounting software. Works with non-English or multiple languages. Algorithm/models can be trained/retrained. Requires no in-house team of developers. Cognitive capture of data - resulting in minimal intervention. How does Nanonets stand apart as an OCR software? Digitize documents, extract data-fields, and integrate with your everyday apps via APIs in a simple, intuitive interface. It is fast, accurate, easy to use, allows users to build custom OCR models from scratch and has some neat Zapier integrations. Nanonets uses advanced OCR, machine learning image processing, and Deep Learning to extract relevant information from unstructured data. Nanonets is an AI-based OCR software that automates data capture for intelligent document processing of invoices, receipts, ID cards and more. Let’s look at some of the best OCR software available on the market. These tools can convert any scanned documents, PDFs or image types into xml, xlsx or csv files. Today, OCR software is used for automated data entry, pattern recognition, text-to-speech services, indexing documents for search engines, cognitive computing, text mining, key data and machine translation among various other applications. OCR is also used in various other use cases such as extracting tables from PDFs, extracting text from images or extracting text from PDFs or other non-editable formats. For a detailed explainer on OCR and its use cases refer to this guide. OCR software leverages this technology to extract data from PDFs or scanned documents by converting it into machine-readable text data that can be edited & stored more conveniently for further processing. OCR or Optical Character Recognition is a technology that identifies & recognizes text within scanned documents, photos or images. Reduce turn around times and eliminate manual effort. Capture data from documents instantly and automate data workflows.
Let's take a look at some of the best OCR software & also check out some free OCR software.Īutomate manual data entry using Nanonet's AI-based OCR software. More and more organizations are automating document processing workflows to go paperless and leverage cloud-based digital solutions that improve bottom lines. OCR software solutions help businesses save time and resources that would otherwise be spent on data entry & manual validation/verification.
Scanning & processing documents such as invoices, receipts, and images for valuable data has traditionally been a manual process fraught with errors and delays. AI-based OCR can digitize the data in convenient, editable formats that fit into organizational workflows. OCR software leveraging AI/ML capabilities can also help automate data capture from scanned documents/images. OCR is also used to digitise files and documents to make them searchable. OCR applications are commonly used to capture text from PDFs & images and convert the text into editable formats such as Word, Excel or a plain text file. Optical character recognition (OCR) software help convert non-editable document formats such as PDFs, images or paper documents into machine-readable formats that are editable & searchable.
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