PDF (Portable Document Format) is an industry-standard and one of the most widely used formats for presenting and exchanging information. Some common business documents that are shared in PDF format in the supply chain, business administration, and procurement industry include:
- Purchase orders
- HR forms
- Shipping notes
- Product and price lists
However, while PDFs are great for exchanging information, it can be quite difficult and tedious to extract insights from data in these files. This is because the data stored in PDF files is unstructured and can contain a variety of different data types (including text and images). The process to extract unstructured data becomes even more challenging when you have to do it manually for each PDF file. This is where PDF scrapping comes to the rescue. PDF scrapping helps extract data from PDF files as well as data extraction automation.
Manual PDF Data Extraction
The process of manually extracting data from PDFs is resource-intensive. It requires someone in the team to select the table and manually copy all the information in the PDF tables, leading to errors and long turnover times.
This entire process becomes cumbersome when a batch of hundreds of PDF documents is involved. Even if you have multiple resources for data retrieval, without data extraction automation it can take days or even weeks to get actionable information by manual data entry.
Let’s break it down in numbers to help you understand the cost incurred when you extract info from PDF or data from image files. Imagine you have a dedicated analyst onboard responsible for extracting data from unstructured PDF documents and analyzing it.
- The average salary of an analyst = 60,000 USD per year (US median wage)
- Average time spent by an analyst for data extraction from unstructured PDF documents including data extraction, cleaning, and preparation per day = 70%
- Cost incurred by an analyst in extracting unstructured data from PDF and preparation = $42,000
With manual data extraction, the majority of the time and effort of the resource is spent on preparing data rather than analyzing it.
An alternate approach to this can be to outsource data extraction entirely, but this has its own drawbacks since it incurs a high recurring cost, and you may not want to share all your crucial business documents with a third-party provider.
All in all, manual extraction is not just time-consuming, but it is an inaccurate and expensive endeavor as well. Another time-and-cost effective solution is using an enterprise-grade data extraction tool, such as Astera ReportMiner, and automate the PDF data extraction process. Using such tools to extract data reduces the manual effort involved in the extraction process, speeds up data availability, and ensures data accuracy.
Automated PDF Data Extraction
Keeping the challenges of manual data extraction in mind, a desirable solution for businesses is to be able to parse all kinds of PDF documents with minimum human intervention, through third-party tools. Here’s how a PDF data extraction software can help your businesses:
- You can create and configure rules and formulas to be used to automatically extract data from PDF to Excel. This reduces the time needed to search and copy/rekey the required information manually.
- You can extract data from images into text through the use of built-in OCR engines without having to type the data again manually. This reduces the probability of typos and other errors during extraction.
- You can automate the entire extraction pipeline and run it on a batch of PDF files to get all desired information in one go. This improves business efficiency and ensures that the data is available as and when needed.
How to Automate PDF Data Extraction?
You can automate PDF data capture using one of these two methods. The first method is quite cumbersome, would require more resources, and has a higher tendency of trial and error. On the other hand, the second method is completely automated with the help of a data extraction tool to extract data from PDF.
1. Use Codes & Scripts
Writing code or scripts for document processing that can extract the desired information from PDF documents. This is not recommended for most businesses because it involves high complexity, dedicated developer resources, and it often requires you to rewrite/modify code whenever the document structure changes.
2. Use Data Extraction Tool
Use a tool to extract data from PDF, such as ReportMiner: a data extraction automation solution that comes with built-in support for creating extraction templates and provides an easy-to-use user interface that involves no coding. This is recommended for businesses that need to extract information quickly and accurately from high volumes of PDFs.
Features to Look for in a PDF Data Extraction Software
Here is how you can automate data extraction from different types of PDFs using data extraction software such as ReportMiner. Essential features you would need to automate content extraction include:
- Text-based PDFs: For text-based PDFs, you can create an extraction template consisting of data regions and fields (sections and values that you want to extract) through which ReportMiner can read these documents and retrieve information.
- Scanned (image-based) PDFs: Not all PDFs consist of text data, most PDF documents that businesses deal with consist of scanned images (e.g. invoices). For this, ReportMinner’s OCR (optical character recognition) capability can extract text data from images. Once you have run your scanned document through ReportMiner, it becomes similar to a text-based PDF and simplifies information capture.
- Form-based PDFs: Often, businesses have to deal with PDF forms, such as customer surveys or employee feedback forms. These PDFs are more structured than other types so you can make use of ReportMiner to extract key business data (such as customer information) and use it for reporting and analysis.
Once you design an extraction template to extract data from PDF documents in ReportMiner, y86ou can reuse it to automate extraction from PDFs with similar layouts. The tool allows you to read PDF and Excel files from disparate sources, including the FTP server, email server, and unstructured systems.
The extracted data can be further massaged and exported to a destination of your choice. Some popular options include Excel spreadsheets, databases, and .CSV file.
Start PDF Automated Data Extraction with ReportMiner
Businesses capture and deal with a variety of information in PDF documents, including transactional and reporting data. The challenge lies in extracting and structuring this information with reasonable accuracy and speed. This can be achieved by PDF data extraction automation through ReportMiner.