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ID Scan ID Parser

Apps using ID Scan ID Parser

Download a list of all 29 ID Scan ID Parser customers with contacts.

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App Installs Publisher Publisher Email Publisher Social Publisher Website
4M Root, Inc *****@joinroot.com
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https://trymyles.com/
946K Cumberland Farms *****@cumberlandfarms.com
linkedin facebook twitter
http://www.cumberlandfarms.com/StayInTouch/default.aspx
566K way.com *****@way.com
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https://www.way.com/
43K NOWCOM LLC *****@dealercenter.com - http://www.dealercenter.net/
41K Abycus *****@idscan.net
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http://www.veriscanonline.com/
20K Cumberland Farms *****@cumberlandfarms.com
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http://www.cumberlandfarms.com/StayInTouch/default.aspx
16K NotaryAct *****@notaryact.com
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http://www.notaryact.com/
15K Jerry on demand *****@jerryondemand.com - https://demojod.com/highlife/demo/
9K AMS Billing *****@amsbilling.com
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http://www.amsbilling.com/contact
8K Abycus *****@idscan.net
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http://www.veriscanonline.com/

Full list contains 29 apps using ID Scan ID Parser in the U.S, of which 24 are currently active and 12 have been updated over the past year, with publisher contacts included.

List updated on 21th August 2024

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Overview: What is ID Scan ID Parser?

ID Scan ID Parser is a powerful and versatile software development kit (SDK) designed to streamline the process of extracting and parsing information from various identification documents. This cutting-edge technology is essential for businesses and organizations that need to quickly and accurately verify identities, comply with regulations, and enhance their customer onboarding processes. The ID Scan ID Parser utilizes advanced optical character recognition (OCR) and machine learning algorithms to accurately read and interpret data from a wide range of ID types, including driver's licenses, passports, national ID cards, and more. One of the key features of ID Scan ID Parser is its ability to support multiple document formats and languages, making it an ideal solution for global businesses operating across different regions. The SDK can effortlessly extract crucial information such as name, date of birth, address, and identification numbers, while also verifying the authenticity of the document through various security checks. This comprehensive approach to ID parsing significantly reduces the risk of fraud and ensures compliance with Know Your Customer (KYC) and Anti-Money Laundering (AML) regulations. Implementation of ID Scan ID Parser is straightforward, with easy integration options available for various platforms and programming languages. Developers can quickly incorporate the SDK into their existing applications or build new solutions around its robust functionality. The parser's high-speed processing capabilities enable real-time ID verification, making it suitable for both online and offline use cases, such as e-commerce, financial services, hospitality, and government agencies. Security is a top priority for ID Scan ID Parser, with built-in encryption and data protection measures to safeguard sensitive personal information. The SDK complies with industry standards and regulations, including GDPR and CCPA, ensuring that businesses can confidently handle customer data without compromising privacy or regulatory requirements. Additionally, the parser's continuous updates and improvements keep it at the forefront of ID verification technology, adapting to new document formats and security features as they emerge. The versatility of ID Scan ID Parser extends to its ability to handle both physical and digital ID documents. Whether scanning a physical ID card or processing a digitally submitted document, the SDK maintains its high level of accuracy and efficiency. This flexibility makes it an invaluable tool for businesses transitioning to digital-first approaches or those operating in hybrid environments.

ID Scan ID Parser Key Features

  • ID Scan ID Parser is a powerful software development kit (SDK) designed to extract and parse information from various types of identification documents.
  • The SDK supports a wide range of ID types, including driver's licenses, passports, national ID cards, and other government-issued identification documents from multiple countries.
  • It utilizes advanced optical character recognition (OCR) technology to accurately read and extract data from both the front and back sides of ID cards.
  • The ID Parser can detect and extract key information such as name, date of birth, address, document number, expiration date, and other relevant fields specific to each ID type.
  • It offers cross-platform compatibility, allowing developers to integrate the SDK into applications for iOS, Android, and web-based platforms.
  • The SDK provides real-time parsing capabilities, enabling instant extraction and validation of ID information during the scanning process.
  • It incorporates machine learning algorithms to continuously improve accuracy and adapt to new ID formats and layouts.
  • The ID Scan ID Parser includes built-in security features to detect potential fraud or tampering attempts on scanned documents.
  • It offers customizable parsing rules and field mappings to accommodate specific business requirements and data extraction needs.
  • The SDK supports multiple output formats, including JSON and XML, for easy integration with existing systems and databases.
  • It provides comprehensive documentation and sample code to facilitate quick implementation and integration into various applications.
  • The ID Parser includes barcode and QR code scanning capabilities to extract additional information encoded on certain ID documents.
  • It offers multi-language support for parsing IDs from different countries and regions, with the ability to handle various character sets and scripts.
  • The SDK includes image preprocessing capabilities to enhance the quality of scanned documents and improve data extraction accuracy.
  • It provides robust error handling and validation mechanisms to ensure the reliability and integrity of extracted data.
  • The ID Scan ID Parser offers cloud-based processing options for applications requiring high-volume document parsing and data extraction.
  • It includes features for data masking and redaction to protect sensitive information during the parsing and storage processes.
  • The SDK supports batch processing capabilities for handling large volumes of ID documents efficiently.
  • It offers integration with other identity verification technologies, such as facial recognition and biometric matching, for enhanced authentication processes.
  • The ID Parser provides detailed logging and auditing features to track document processing activities and maintain compliance with regulatory requirements.

ID Scan ID Parser Use Cases

  • ID Scan ID Parser is a powerful SDK that can be utilized in various industries and applications for efficient data extraction from identification documents. One common use case is in the banking sector, where financial institutions can implement this technology to streamline the customer onboarding process. By integrating ID Scan ID Parser into their mobile banking apps or in-branch systems, banks can quickly and accurately capture customer information from driver's licenses, passports, or national ID cards, reducing manual data entry errors and improving overall efficiency.
  • Another significant application of ID Scan ID Parser is in the hospitality industry. Hotels and resorts can leverage this technology to expedite the check-in process for guests. By scanning a guest's ID upon arrival, the system can automatically populate registration forms with accurate information, minimizing wait times and enhancing the customer experience. This use case also extends to car rental companies, who can utilize the SDK to quickly process customer information and verify driver's license details during vehicle pick-up.
  • Law enforcement agencies can benefit from ID Scan ID Parser by integrating it into their mobile devices or patrol car systems. Officers can quickly scan and verify identification documents during traffic stops or other encounters, allowing for faster and more accurate identification of individuals. This use case not only improves officer safety but also helps streamline the reporting process by automatically populating relevant fields in police reports with extracted data.
  • Healthcare providers can implement ID Scan ID Parser to enhance patient registration and identity verification processes. By scanning a patient's ID upon arrival, medical facilities can quickly populate electronic health records with accurate personal information, reducing the likelihood of errors in patient data. This use case is particularly valuable in emergency situations where rapid and accurate patient identification is crucial.
  • Retail stores and age-restricted establishments can utilize ID Scan ID Parser to verify customer age and identity for purchases of alcohol, tobacco, or other regulated products. By integrating the SDK into point-of-sale systems, businesses can ensure compliance with age restrictions and maintain accurate records of transactions. This use case not only helps prevent underage sales but also protects businesses from potential legal liabilities.
  • Human resources departments can leverage ID Scan ID Parser to streamline the employee onboarding process. By scanning new hires' identification documents, HR professionals can automatically populate employee records and forms with accurate personal information. This use case reduces manual data entry, minimizes errors, and accelerates the onboarding process, allowing new employees to start their roles more quickly.
  • Event organizers and venues can implement ID Scan ID Parser to enhance security and streamline attendee check-in processes. By scanning attendees' IDs at entry points, organizers can quickly verify identities, cross-reference guest lists, and generate accurate attendance records. This use case is particularly valuable for high-security events or age-restricted gatherings, ensuring only authorized individuals gain access.
  • Airlines and airports can utilize ID Scan ID Parser to expedite the check-in and security screening processes. By integrating the SDK into self-service kiosks or mobile apps, passengers can quickly scan their identification documents to verify their identity and populate necessary travel information. This use case not only reduces wait times but also enhances overall airport security by ensuring accurate passenger data.
  • Insurance companies can implement ID Scan ID Parser to streamline the claims process and prevent fraud. By allowing policyholders to scan their identification documents when submitting claims, insurers can quickly verify identities and automatically populate claim forms with accurate information. This use case not only improves the customer experience but also helps detect potential fraudulent activities by cross-referencing extracted data with existing records.
  • Educational institutions can leverage ID Scan ID Parser to simplify student registration and identity verification processes. By scanning student IDs or other identification documents, schools and universities can quickly populate student information systems with accurate data, reducing administrative workload and minimizing errors in student records. This use case is particularly valuable during orientation periods or when issuing student ID cards.

Alternatives to ID Scan ID Parser

  • Acuant AssureID is a comprehensive identity verification solution that offers document authentication and data extraction capabilities similar to ID Scan ID Parser. It supports a wide range of identity documents from various countries and provides advanced OCR technology for accurate data capture.
  • Scanbot SDK is another alternative that offers ID scanning and data extraction features. It provides cross-platform support for iOS and Android, allowing developers to integrate ID scanning functionality into their mobile applications easily.
  • Jumio's Netverify is a robust identity verification platform that includes ID scanning and parsing capabilities. It offers real-time ID verification, face matching, and liveness detection, making it suitable for various industries such as financial services and online gaming.
  • Regula Document Reader SDK is a powerful solution for ID scanning and data extraction. It supports over 7,000 types of identity documents from more than 200 countries and territories, offering comprehensive coverage for global identity verification needs.
  • Microblink's BlinkID is an AI-powered mobile SDK that provides OCR and data extraction capabilities for various identity documents. It offers real-time scanning and can work offline, making it suitable for a wide range of use cases.
  • IDEMIA's ID Verification is a comprehensive identity proofing solution that includes document scanning and data extraction features. It leverages advanced AI and machine learning technologies to ensure accurate and reliable identity verification.
  • Onfido's Document Verification API offers similar functionality to ID Scan ID Parser, allowing businesses to verify identity documents and extract relevant information. It supports a wide range of document types and provides additional features such as face matching and liveness detection.
  • Anyline SDK is a flexible OCR solution that includes ID scanning capabilities. It offers cross-platform support and can be easily integrated into existing mobile applications, making it a versatile alternative for developers seeking ID parsing functionality.
  • IDScan.net's IDWare Mobile SDK provides ID scanning and parsing capabilities for various types of identity documents. It offers features such as barcode scanning, OCR, and data validation, making it suitable for industries requiring robust identity verification.
  • Aware's PreFill ID Document Capture solution offers ID scanning and data extraction capabilities similar to ID Scan ID Parser. It provides advanced image processing and OCR technologies to ensure accurate data capture from a wide range of identity documents.

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