Optical Character Recognition (OCR)

Robotic Process Automation (RPA) is a low-code technology enabling system integration. RPA provides an edge over conventional IT solutions by being adaptable to new situations. RPA can drastically improve operational efficiency by replacing the mundane repetitive tasks with software based automation.

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Automate Recruitment Management

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Faster Finance and Accounting

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Logistics Management

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Invoice Processing

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Products

With the help of RPA's low risk automation and cost reduction, companies can grow faster.

With the help of RPA's low risk automation and cost reduction, companies can grow faster.

With the help of RPA's low risk automation and cost reduction, companies can grow faster.

With the help of RPA's low risk automation and cost reduction, companies can grow faster.

With the help of RPA's low risk automation and cost reduction, companies can grow faster.

With the help of RPA's low risk automation and cost reduction, companies can grow faster.

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Here are a few applications.

core technologies

Optical Character Recognition

Long  documents can be converted into machine readable form using OCR. Optical scanners along with advanced software can capture and convert the data into digital form. 

Intelligent Character Recognition

ICR is a more advanced form of Optical Character Recognition. The technology is used to understand and learn newer hand-writing patterns. It is specifically used to handle hand-written texts. 

Web Crawling

An automated script which spiders around the World Wide Web in a methodological manner. Software is developed to enter URLs at different needs for data copying, filling data & scheduling critical tasks. 

Web Scraping

Extracting data from a website or a web-based company portal. The technology can be used to extract information from websites for automating data filling tasks. 

Optical Character Recognition

Optical Character Recognition is a technology which offers automated data extraction and storage capabilities. OCR processes data on a word-to-word basis which makes it possible for the user to edit the original document. OCR is a combination of hardware such as optical scanner, circuit board with sensors and software with processing capabilities to convert the text into digital format.

The benefits of implementing OCR technology,

1. Cost in terms of handling & processing large amounts of data 

2. Automating the workflows & systematising the hard printed documents 

3. Automate document routing, etc.

OCR Applications in different sectors, 


Banking Industry: 

OCR can help to digitise huge volume of data such as invoices, loans request, credit approvals etc.   Check inspection can also be done using real-time OCR scanner to verify signature, amount entered etc. 

Insurance Sector: 

OCR can help in attracting more customers by giving an option to upload their existing Insurance policy and running it through an analytics tool to find out the present offering and compare it with the another offering providing more value. 

OCR can also help a larger insurance provider to streamline the process of storing, and extracting key information from printed documents in an automated manner. 

Healthcare Sector: 

Patient’s files & records are critical information to any healthcare facility. Handling information in a physical paper form is prone to damage, loss and slow retrieval whenever needed. OCR helps to digitise the information to not only provide whenever needed but also keep it secured. 

Large parts of administrative processes can also be automated using OCR, for Eg. Creating digital log books, staff attendance records, shift data, etc. 

Applications

INTELLIGENT CHARACTER RECOGNITION

Intelligent 

 

WEB CRAWLING

Web Crawling is a process in which 

Applications

1. Price Monitoring: Web scrapping can be used to extract price from a competitor’s website and compared with your offering.  

2. Market Research: Business Intelligence information can be extremely useful for product innovation. Web Scraping can help to gather data from various sources and store at a place to be analysed for making informed decisions about customer needs & changing trends. 

3. E-mail Marketing: Promotional messages via bulk e-mails can be sent with Scrapper fetching relevant e-mails from various websites.

WEB SCRAPING

Web Scraping is a method used for converting the unstructured text mostly available in HTML format to structured text to be used for various applications. The scrapper is a tool which is used to extract large amounts of data from websites. 

Applications

1. Price Monitoring: Web scrapping can be used to extract price from a competitor’s website and compared with your offering.  

2. Market Research: Business Intelligence information can be extremely useful for product innovation. Web Scraping can help to gather data from various sources and store at a place to be analysed for making informed decisions about customer needs & changing trends. 

3. E-mail Marketing: Promotional messages via bulk e-mails can be sent with Scrapper fetching relevant e-mails from various websites. 

 

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