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Beyond Key
Beyond Key
Beyond Key
Beyond Key

Increase Your Business' Operational Ability with OCR Services

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Beyond Key - OCR Services

Implement adaptive intelligence to achieve operational objectives and ensure excellent customer services with (OCR) Optical Character Recognition services. Get Increased accuracy and data utility and add value to the existing information, making better decisions. OCR technologies are so powerful that including them in your marketing strategy will result in significant ROI.

You don't need a basic OCR solution that only helps fill in the blanks and finishes the scanned document. Instead, your business needs the best OCR scanning services to combine accurate, intuitive scanning to fix mistakes. With increased speed and accuracy, our OCR services will bring incredible advances to your work. Our OCR services will revolutionize aspects of your businesses in multiple ways and help you stand out in front of your customers.

Turn Visual Files into Actionable Data

On average, manual processing of a document takes up to two to five minutes, which translates to hundreds of days for a million documents.”

Beyond Key - Save Time

Save Time: OCR technology allows document recognition 40X faster than manual retyping.

Beyond Key - Reduce costs

Reduce costs: OCR software reduce manual work and paper-based documents providing a great cost savings.

Beyond Key - Enhance speed

Enhance speed: OCR enables businesses to process their paperwork far more quickly and convert any volume or form of data to structured text at an incredibly fast speed.

Beyond Key - Provide accuracy

Provide accuracy: With the help of advanced pattern recognition technology, OCR extracts every little detail from scanned documents and provides more than 98% accuracy

How OCR saves a great deal of time and money?

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OCR Use Cases

Claim Request Forms

Enhance customer experience & reduce time spent on claim processing by extracting faster and accurate data from unstructured claim documents. Automate claims management & compliance. Turn claim documents into actionable data. Achieve maximum accuracy in any document format.


Turn insurance certificates to actionable Automate invoice data capture and processing. Save hours spent in manually extracting data from invoices. Empower your accounts payable staff & operations team with automated invoice extraction including invoices that are not in a standardised format. Reduce the cost of operations and turnaround time.

Bank State- ments

Convert PDF bank statements into editable text in minutes. Streamline lending process by extracting granular level data from multipage tables.


Verify tax return details with smooth data extraction and smart validation in real-time. Process data faster from documents with improved accuracy, better turnaround time, and minimal setup requirement.

Technologies we use

Azure Form Recognizer Azure Form Recognizer
Azure Cognitive Search Azure Cognitive Search
Azure OCR Read Azure OCR Read
AWS Textract AWS Textract
Google Cloud Vision OCR Google Cloud Vision OCR
Python Python

Ready to get started with Data Extraction Using OCR?

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  • What is Optical Character Recognition (OCR)?

    Optical character recognition (OCR) is a business solution that helps enterprises to automate data extraction from printed or written text from a scanned document or image file. OCR convert the text into a machine-readable form to be used for data processing like editing or searching.

  • What business challenges does OCR address?

    Today, many companies manually extract data from scanned documents and thus consider documents processing to involve the most manual work out of all back-office functions.

    Thanks to the OCR software, as it eliminates manual and expensive processes by minimizing the costs related to the human factor. OCR software automates work in companies and public institutions providing quick access to key data from various sources including graphic documents, PDFs, paper documents, e-mails, faxes and more. An OCR software, when tailor-made, can be trained or configured to automatically read and process any type of document, while accurately extracting text, handwriting, tables and other data without any manual effort.

  • How can OCR help my business?

    An enterprise grade system like Azure Form Recognizer can be leveraged to automate your data processing, enhance your data-driven strategies, and enrich document search capabilities.

    However, a custom-built OCR solution based on your business needs, applications and workflows enables you to quickly automate document processing and act on the information extracted. For example, to automate loans processing or to extract information from invoices and receipts.

  • How does OCR technology work?

    Using OCR technology, an application extracts and analyzes form fields, text, and tables from your documents and converts them into a machine-readable format. Smart document processing solutions including OCR software uses machine learning models to analyze your forms and documents, extract text and data, map field relationships as key-value pairs, and returns a structured JSON output.

    There are quite many solutions available in the OCR software market that leverage OCR technology to provide automated document processing solutions that enable you to quickly get accurate results that are tailored to your specific content without excessive manual intervention or extensive data science expertise.

    Form Recognizer can also be used to automate your data processing in applications and workflows, enhance data-driven strategies, and enrich document search capabilities.

    Form Recognizer easily identifies, extracts, and analyzes document data including:

    • Table structure and content
    • Form elements and field values.
    • Typed and handwritten alphanumeric text.
    • Relationships between elements.
    • Key/value pairs
    • Element location with bounding box coordinates.
  • Which technologies are used for automate document processing?

    Business Solutions like Microsoft 365 tools and Azure Form Recognizer are a few of the commonly used technology solutions that leverage AI and machine learning models to extract and analyze form fields, text, and tables from your documents.

  • How document processing tools capture data from scanned documents?

    Azure Form Recognizer analyzes your forms and documents, extracts text and data, maps field relationships as key-value pairs, and returns a structured JSON output. You quickly get accurate results that are tailored to your specific content without excessive manual intervention or extensive data science expertise.

    Similarly, Amazon Textract, a machine learning service that automatically extracts text, handwriting and data from scanned documents that goes beyond simple optical character recognition (OCR) to identify and extract data from forms and tables.

    Textract uses machine learning to read and process any type of document, accurately extracting text, handwriting, tables and other data without any manual effort.

  • How fast an OCR processes documents to capture/extract data?

    (We are using cloud-based services and hosting) An enterprise grade OCR solution can extract the data in minutes vs. hours or days in case of manual typing. A fast secretary types some 200 characters per minute whereas the fastest OCR software recognizes some 1,600 characters per second.

  • How much accuracy does an OCR solution provide?

    For any business, the accuracy of the converted data is important. However, the accuracy of an OCR software depends on how often a character is recognized correctly versus how often a character is recognized incorrectly. Most OCR software offer 98 to 99 percent accuracy. When the accuracy is measured at the page level 98-99% accuracy would mean that 980 to 990 characters will be accurate in a page of 1,000 characters. It is often fairly acceptable in most cases and can be combined with human feedback for better results.

  • Does document processing with OCR need human intervention?

    Although many OCR solutions claim about it but no data extraction model is 100% accurate. Hence, in certain cases, it is important to use a supervised learning model to improve the accuracy of your document processing workflow. Many solutions out there encompass a layer of human intervention often called as a human-in-the-loop that reviews any document that is flagged in red. Higher the number of documents that are processed and reviewed, higher is the accuracy level of the data extraction model.


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Beyond Key Systems Pvt. Ltd.

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