OCR for Identity Documents: Collect Customer Data Accurately and Automatically

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Automate your data processing 10x faster with Fintelite

Identity documents are official documents that prove a person’s identity. Various companies frequently use these documents to collect customer information. Some examples include verifying potential borrowers in lending, managing patient registration in medical centers, processing insurance claims, and more. Despite the importance of accuracy in processing identity documents, many companies still rely on error-prone manual methods. It is high time for companies to shift to OCR technology to bring greater accuracy and efficiency to document processing. OCR Identity Documents can be a quick fix for retrieving customer data with high precision, thanks to its cutting-edge model.

In this article, you will learn about how OCR can help you automatically collect essential information from identity documents, without the risk of human error.

But first, what exactly is OCR and how does it work?

This might be the first time you have heard about OCR, but whether you realize it or not, you have probably tried it several times before. OCR is a technology that allows you to capture text from paper documents, PDFs, or images taken by a camera. The easiest example is when you use Google Search: you point your camera at text, and it automatically captures and performs a search.

But here, we will talk more about leveraging OCR for document processing, just like Fintelite OCR is specially designed to do. AI powers Fintelite OCR to convert documents into machine-friendly datasets that you can easily process. Imagine getting readily available datasets to enter into your platform by merely uploading the documents, all in just seconds. At the same time, it can save you time and help you complete the admission process even faster.

What are the benefits of using OCR Identity Documents?

OCR offers high-level accuracy and speed scale far beyond manual processes. With what it can do, OCR can help your back office in various ways. 

  • Automated data entry: No more drama with missed inputs and frustrating delays; you can now seamlessly extract data from documents and send the result to your accounting platform.
  • Improve work efficiency: As OCR accelerates the process, efficiently manage your tasks and enjoy a more productive daily work life.
  • Cost-effective operations: Reduce costs associated with manual entry and processing, freeing up resources for other meaningful tasks.

What types of identity documents can OCR work with?

As OCR technology advances, this tool now supports a wide range of documents, including:

With Fintelite OCR, you can easily tailor the information you want to extract according to specific document types. OCR enables the extraction of important details from identity documents, such as full name, date of birth (DOB), address, gender, unique ID number, and the issuance and expiration dates of the document.

What are the steps to pull data from identity documents with Fintelite OCR?

File Upload: Upload the PDF or image of the document you want to process in the OCR dashboard.

Data Extraction: Fintelite OCR will parse and label each piece of data, converting it into a structured dataset.

Result Preview: Once the process is complete, review the extraction results to ensure all data is correctly extracted. If adjustments are needed, click the “Relabel” menu and edit as preferred.

Result Download: Download the final extracted data in JSON, XLS, or TXT format. Alternatively, connect your account to seamlessly send results directly to your current document management platform like Docuflo.

Want to see how easy it is to extract data from ID documents yourself? Create your account and get 1 month full access for free. For further discussion and consultation, please arrange a call with us.

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