Aadhaar card has become an important document as it is linked with an applicant’s bank account, financial transactions, and even income tax returns. That is why, when any applicant applies for a loan or transacts with an organization, his/her Aadhaar card is usually required to be submitted. The Aadhaar card is also a part of the KYC formalities as it can serve as proof of identity, proof of address, and even proof of age.
Submission of the Aadhaar card can be made offline, in the form of a physical copy, or, online, in the form of a digital image. Whether the Aadhaar card is submitted online or offline, organizations need to verify it for authenticity. Aadhaar card verification is, therefore, an integral part of processing an applicant’s application. The transaction is, then, completed only after the organization successfully does the verification, and the identity of the applicant is proved.
If the Aadhaar card is submitted offline, the organization can match the copy of the card to the applicant’s original card. In this case, there would be no issues in verifying the card’s authenticity. Challenges, however, are encountered when the soft copy of the Aadhaar card is submitted to the organization and needs to be verified. Moreover, if the organization converts the physical copy of the Aadhaar card into a digital format and then undertakes verification, the verification department might face challenges. These challenges can stem from the following common issues -
The organization, thus, needs a digital solution to verify the Aadhaar card of its applicants, and this is where Docsumo steps in. Docsumo provides organizations with a digital API that helps them verify the Aadhaar card in real-time without the possibility of errors or frauds.
Here are the steps involved in Aadhaar card verification using Docsumo’s API -
The first step is uploading the document. Organizations are required to upload all the documents of their applicants into Docsumo’s Aadhar Card data extraction API so that the verification process can begin.
Once the documents are uploaded, the next step is the auto-classification of the documents based on pre-trained documents in the system. Docsumo sorts through the uploaded documents and classifies similar documents into one group. So, all the KYC documents are classified into respective categories.
This is the most important and instrumental step in the verification of the Aadhaar Card. Docsumo carries out the necessary steps to check the type of the uploaded Aadhaar card, i.e. whether it is a black and white image, scanned image, or a photo of a photo. If the Aadhaar card is uploaded from secondary sources, like printouts, the chances of fraud are higher.
Once the fraud check is complete and the uploaded Aadhaar card is established to be authentic, the API would extract the data from the card and stack it in a readable format. This helps the organization to find the data instantly without having to check the uploaded Aadhaar card. A file of the extracted data is compiled and shared with the organization for easy use.
Besides checking the authenticity of the uploaded Aadhaar Card, Docsumo’s API allows you to manually review and verify the extracted data before pushing it into your system. Docsumo’s straight-through validation ensures that extracted data is entered in the system without any human intervention.
All these steps are done in real-time, which makes the API quick and resourceful. Organizations are ensured of the authenticity of the Aadhaar card as well as its data, and they can transact with the applicants without worrying about possible frauds. Thus, organizations that deal in transactions involving the Aadhaar card can simplify Aadhaar verification procedure through Docsumo’s API and also to fast-track their transactions.
In today’s dynamic business world, filing and archiving official documents in the digital form makes it handy, and works wonders in the future or in unforeseen circumstances.
With an automated data extraction solution, loan documents can automatically be processed end-to-end without any human errors and delays. Automation in loan document processing prevents downtimes, eliminates data redundancy, and allows companies to respond faster to client queries. By combining machine learning with deep learning and OCR, companies can eliminate huge costs, derive actionable insights, and streamline loan processing and approvals through efficient data extraction and analysis.
Mortgage lenders receive multiple identity and income verification documents along with different forms from loan applicants in a variety of formats and styles. Traditional OCR solutions fail to extract data from these semi-structured documents and that’s why more and more lenders are adopting intelligent document processing solutions. IDP solutions not only extract data correctly, they are able to validate extracted data against predefined rules in order to improve accuracy.
Intelligent Document Processing is an automation technology that captures information from a myriad of documents and data sources, extract data, and organizes it for further processing. IDP solutions enable businesses to seamlessly integrate with core processes, eliminate manual labour, address challenges faced in reading different document layouts, and meeting legal & compliance requirements. Accurate data is the foundation of every organization, and IDP assists businesses in dealing with the complexity of processing huge volumes of documents, helping them automate manual data entry processes, and move away from traditional semi-automated OCR workflows.