Manually keying data from PDF to the database system has a lot of challenges. First, it is very time consuming. Second, the more time spent on this repetitive task, the more likely human error will happen. And not to mention, it secretly drains productivity over time. This is where Fintelite’s OCR API can help. By integrating Fintelite’s OCR API into your workflow, eliminate all manual steps related to data entry and fully automate the process. With OCR API, seamlessly extract data from various PDF documents and transfer them straight into your database.
This article will guide you on how to use Fintelite’s OCR API to automate data extraction from PDF to database and answer key questions to help you get started.
What are common challenges in extracting data from PDF to database?
Answer: There are several challenges that often occur when extracting data from PDF to a database without using the right tool. Not all tools can handle changes in document layouts with high accuracy, which can result in missing or incorrectly extracted information. Besides that, ensuring the data result is in the correct format is crucial to avoid manual rearranging.
Why is Fintelite’s OCR API useful for extracting data from PDF to database?
Answer: Fintelite’s OCR API is designed with AI to automate data extraction at scale. By using Fintelite’s OCR API automation, data from multiple documents can be seamlessly transferred to the database in just a few clicks, while maintaining accuracy along the way.
Is it possible for Fintelite’s OCR API to extract data from various documents?
Answer: Yes, Fintelite’s OCR API leverages AI to accurately read data from any type of document without additional training. Such as financial documents, legal contracts, customer forms, and many more. It can also be useful for cases where documents come in different designs, for example, invoices received from various vendors.
Can OCR APIs handle handwritten or scanned text?
Answer: Yes, it can. We know that many businesses still work with handwritten documents occasionally and PDF files are often produced from scans. Fintelite’s OCR API leverages AI-powered capabilities to process these types of documents, accurately recognizing handwritten and scanned text in detail.
How does Fintelite’s OCR API work step by step?
Answer: Fintelite’s OCR works by scanning, extracting, organizing, and delivering structured data from documents into another platform via API integration. Here’s a detailed breakdown of how it works:
1. Data Extraction
It collects all important information from documents by identifying and capturing key text, numbers, and fields.
2. Data Structuring
It then organizes the extracted data and structures them into machine-readable format like JSON, CSV, or others.
3. Data Integration
It transfers the structured datasets into the integrated system or database, ensuring it is delivered smoothly without disrupting existing workflow.
How fast can Fintelite OCR be integrated into our database?
Answer: Our team is ready to assist you throughout the integration process via API from start to finish, helping you to go live in just a few weeks, not months. Contact our team to learn more.
What database types are compatible with OCR API integration?
Answer: Fintelite’s OCR supports flexible API integration, enabling you to seamlessly send the extracted data from PDF to various platforms and internal database systems. You can also choose the deployment model that best fits your business needs, either on-premise or cloud-based.
