PDF remains popular to use in documentation because of its easy creation and sharing. However, working with PDFs can sometimes be frustrating, especially when it comes to managing and editing the data inside them. But with the right tools and method, processing data from a PDF doesn’t have to be that hard. No more wasting time converting PDFs online just to end up with messy data results. PDF data extraction is the fastest hack that allows you to obtain data from a PDF document, so you can work with the information without the hassle of manual copying and inputting.
The definition of PDF data extraction
PDF data extraction refers to the process where you can automatically convert PDF documents into structured data. By leveraging OCR (Optical Character Recognition) technology, all the key details in PDF files can be automatically captured, making the data easier to access and more usable. If you frequently deal with bank statements in PDF, for example, this way can help you quickly extract transaction history and organize them into ready-to-use datasets.
Read: What is Optical Character Recognition (OCR)?
The process of PDF data extraction
As mentioned earlier, OCR plays a key role in this PDF data extraction. Let’s now break down how to use the OCR for extracting data from PDF documents.
- Document Upload: In the first step, you will be required to upload the PDF file of your document to start the extraction process.
- PDF Data Extraction: OCR automatically scans, reads, and captures every information and converts them into machine-readable datasets.
- Data Export and Integration: To use the extracted data, export the results in your preferred format such as XLS, JSON, or CSV, or integrate them directly into your database system.
Types of PDF documents that can be extracted
AI has advanced the way OCR works today, enabling the processing of a broader range of PDF document types, such as:
- PDFs with images (example: scanned documents, brochures, or letters with company logo)
- PDFs with handwritten text (example: notes, forms, or handwritten letters)
- PDFs with tables (example: receipts, invoices, or research papers)
- Form-based PDFs (example: registration forms, surveys, or applications)
- PDFs with numerical data (example: bank statements, financial statements, or accounting statements)
The benefits of using PDF data extraction
From saving you tons of time to reducing tedious tasks, here’s why you should start using PDF data extraction.
- Get more done faster
Work smart, not hard. Why you go hassle when PDF data extraction can help you work faster? With OCR working behind the scenes, this method capably processes large batches and gets all the data you need extracted in less time.
- Avoid data entry errors
Manually moving data from PDFs into a system not just takes long, but is also susceptible to errors. By automatically extracting data from the PDFs you handle, you can increase accuracy and eliminate the likelihood of human error.
- Gain extra time for other tasks
Now that you no longer have to deal with manual PDF data inputting, you will have more time to focus on what’s more important and accomplish other tasks. Whether it’s for strategic planning or more analysis.
- Improve overall efficiency
In the end, this smart solution helps you achieve high-quality work, enhance day-to-day productivity, and improve overall efficiency. No more tedious repetitive steps, just a faster and smoother workflow.
The ultimate solution for PDF data extraction
Fintelite is an AI-powered OCR solution that helps businesses automate data extraction from documents in pdf or scanned images. OCR by Fintelite accurately pulls data from diverse document types, layouts, and content, delivering consistent results across industries. No need for extra training and prior templates. Start with ease just by uploading, and let Fintelite handle the rest from data capture to integration into your existing business system. Jadwalkan Demo to see how you can extract data from PDF 10x faster with Fintelite.
