Optical Character Recognition (OCR)

Experience The Practicality And Convenience of OCR

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Key Element of Digital Transformation Strategy

Regardless of what industry you belong to, manual information processing is a huge obstacle for efficiency.

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Augmenting Customer Experience

Filing information manually, is not only, slow and laborious, but is also subject to human error and delays. Ease your customer experience and reduce human error. 

Just Scan Your Document

AdIns Intelligent Data Capture can capture various government documents such as KTP, NPWP, Kartu Keluarga, STNK, and BPKB to be input into the system accurately.

No More Manual Input

Our artificial intelligence will automatically fill in every single field needed in the application form based on the presented document by using a custom machine learning algorithm. 

With OCR, it can certainly make your customers save a lot of time and energy in the credit application process. By enhancing your customer experience with OCR technology you can build user dependency and grow your mobile application user.

In my opinion OCR technology (optical character recognition) helps business flow, especially in the data collection process/data entry

Nadia Pramestuti

OCR technology (optical character recognition) makes office works easier and more efficient

Vincentius Martin Lie

OCR (optical character recognition) suitable for multi finance company

Gilbert Soegiarto

For over 15 years I worked in a company, I just try new things (OCR) that makes work easier

Dwi Armenda

OCR (optical character recognition) is a good software to use by a company

Yanny Sandya
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Complete Your Digital Transformation Process

Working from home disrupts the approval process if you still doing everything manually, the hidden operational cost of photocopy, print, scan, and document delivery to your house often forgotten.

Optical Character Recognition

The development of technology has ushered in a new era, catalysed by the transformative aftermath of the global pandemic. This era has witnessed a paradigm shift in work culture, with a significant emphasis on remote work and the ability to work from anywhere. In this evolving landscape, the role of Optical Character Recognition (OCR) technology becomes paramount. OCR, in conjunction with Intelligent Document Extraction (IDE), emerges as a vital tool for automating operational tasks within companies, especially for multifinance organisations.

At its core, Optical Character Recognition (OCR) is designed to convert images containing text into machine-readable digital data. This technology, a facet of Machine Learning, enables the scanning of images and photos while simultaneously identifying symbols and characters within documents. The OCR process comprises scanning an image or scanned paper, extracting text, and transforming it into a machine-readable text document. It is worth noting that OCR alone produces raster images, underscoring the importance of its collaboration with Intelligent Document Processing (IDP).

OCR, often harnessed through OCR software, has the capability to convert diverse document types, including scanned conventional paper, PDFs, and even images captured by cameras, into editable machine-readable data. Its primary purpose is to facilitate digital editing, making the process significantly faster and more efficient. The choice of an OCR software vendor is crucial, as it directly impacts the success of a company's projects.

The multifunctionality of OCR is evident in its functions, which include serving as a scanner. This is particularly valuable when dealing with voluminous texts, such as books. OCR simplifies the process by recognising words and converting them into machine-readable characters, allowing for easier editing. Additionally, OCR can convert photos and images into editable text documents, streamlining tasks for multifinance companies.

For multifinance companies, OCR proves invaluable in customer acquisition, ensuring accuracy and expediency. It accelerates data entry from digital sources, automating information input. The presence of OCR in the acquisition process ensures data accuracy, minimising the risk of human error. Unlike regular scanners that produce non-editable JPG/PDF files, OCR generates output in the form of editable text, significantly expediting document handling.

In today's digital landscape, OCR extends its reach as an Online OCR, providing the same capabilities as scanned files for printed papers, PDFs, documents, or images to be converted into text characters. Online OCR offers the flexibility to work from anywhere, making it a valuable asset for modern companies. It is essential for businesses, including multifinance companies, to explore the potential of OCR, both in its traditional and online forms, to enhance efficiency and productivity. Before adopting advanced OCR software, users can experiment with free online OCR tools available on the internet, offering an opportunity to experience the benefits of this transformative technology. The process typically involves uploading PDF files, with OCR converting them into editable Word files or text documents.

Frequently Asked Questions

Optical character recognition technology is a game-changer for companies as it significantly accelerates document processing, reducing errors often associated with manual data entry. By automating these tasks, OCR enhances efficiency, accuracy, and productivity across various business operations.
Yes, OCR is designed to recognise text in any language. However, the OCR system can be fine-tuned to meet the specific language requirements of your company, ensuring accurate recognition and extraction of text in the desired languages.
The implementation of OCR for your company can typically be accomplished within a remarkably short timeframe of 2-3 days. This swift integration minimises disruptions and allows your organisation to swiftly reap the benefits of OCR technology.
In the event of any technical difficulties or operational issues, while using OCR, we encourage you to promptly report the problem through your IT support channel. Our dedicated support team will swiftly address and resolve any concerns, ensuring a seamless experience with OCR. You can also utilise our issue tracking system (JIRA) to streamline the support process and receive timely assistance. Your satisfaction and effective use of OCR are our top priorities, and we are here to support you every step of the way.
Yes, OCR technology is highly adaptable and suitable for businesses of all sizes. Whether you're a small startup or a large multinational corporation, OCR can streamline document processing, improve accuracy, and enhance efficiency across your operations.
OCR technology is primarily designed for printed or typed text recognition. While it may have limited capabilities to recognise some forms of handwriting, its accuracy and effectiveness are significantly higher for printed text. For handwritten text recognition, specialised software and techniques may be required.
OCR systems can be configured with robust security measures to protect sensitive information. Access controls, encryption, and secure data transmission protocols can be implemented to ensure that confidential data remains protected throughout the OCR process.
OCR's ability to extract data is influenced by the quality of the scanned images. While OCR software is designed to handle a range of image qualities, higher-quality scans typically yield more accurate results. To optimise data extraction, it's advisable to ensure that scanned images are of good quality and resolution.
Yes, OCR can be integrated with other software systems commonly used in businesses, such as content management systems (CMS), document management systems (DMS), and enterprise resource planning (ERP) software. This integration allows for seamless data flow and automation across various applications.
Yes, OCR is an excellent tool for digitising historical documents, archives, and records. It allows organisations to preserve and access valuable historical information digitally, making it searchable and easily retrievable for research and reference purposes.