-
Written By
Raj Singh -
Updated on
May 24th, 2025 -
Read Time
6 minutes
The business is modernizing its operations by shifting from paper records to a digital records management system. These files contain critical information such as employee information, internal reports, etc, which have been scanned into PDFs. However, these scanned PDFs contain just images, limiting the data retrieval. Therefore, they decided to extract text from PDF to efficiently organize, search, and analyze the data. They can either do it manually or make use of a dedicated PDF Extractor Tool to automatically extract the text from the scanned PDF file. Read the blog carefully to learn about various methods to make this extraction possible.
PDF (Portable Document Format) is a universal file format for sharing and archiving documents. It preserves the formatting of the document across systems. The format ensures that your document prints exactly the same on any device.
Extracting texts from PDFs lets you collect and analyze data faster and easier. Here’s why this process is essential:
Considering the reasons discussed above, it is clear that extracting the content from a PDF is the best practice.
Users have several options for extracting text from PDFs. It can be done manually by using the copy-paste method. Also, it can be done using a secure automated converter tool. The most effective method varies based on the document’s size and complexity.
Adobe Acrobat Pro DC offers a built-in OCR feature that can turn scanned PDFs into fully searchable and editable files. OCR stands for Optical Character Recognition. It is a paid version of Adobe Acrobat. Also, make sure your scanned PDF is clear.
Follow these steps to begin the PDF text extraction:
Limitations: Adobe Acrobat DC is a paid version. Also, the OCR feature can produce errors if your scanned PDF is not clear, or is handwritten.
Google Drive offers a simple way to extract the text from scanned PDFs by using its free OCR feature through Google Docs.
These are the steps to begin the process:
Limitations: The Google Drive OCR may struggle with poorly scanned PDFs, handwritten scanned PDFs. The formatting may not be preserved.
Microsoft OneNote’s built-in OCR feature extracts textual content from images, including scanned PDFs added as images. This is helpful when you need to extract text from specific pages of documents.
Use this step-by-step approach to extract text from the PDF file:
Limitations: Extracting the content from large PDF documents can become a time-consuming and tedious task. Formatting may not be preserved properly. The handwritten scanned PDFs are not recognized by the Microsoft OneNote OCR.
The PDF to Text Converter is an all-in-one solution to extract text from a PDF document. In addition to text, it extracts fonts and images. It supports batch operations, flexible page selection, and a document preview feature. Users also have the option to skip the files that were previously processed and select custom page ranges. The tool allows users to unlock the password-protected PDF files.
Follow these steps to begin the extraction process:
This blog has highlighted the importance of extracting text from PDFs to quickly collect data to simplify workflow. Manually extracting the text can take a considerable amount of time and can be complex. Whereas using a professional dedicated PDF to Text Converter, users can handle large volumes of PDF Files and extract text from PDF. The tool supports batch extractions and provides advanced features that simplify the entire process. This makes it an ideal choice among individuals and businesses.
Related Guide: Extract Email ID from PDF Files.
Frequently Asked Questions:
Ans- Yes, you can. But to do so, you will need an OCR (Optical Character Recognition) software. This OCR feature will convert the images into readable text. Open the scanned PDF document in Adobe Acrobat Pro DC. Go to Tools > Scan & OCR > Recognize Text > In this File. Now, you can copy-paste the text into the preferred text editor.
Ans- PDF text extraction is useful for researchers when compiling text from various PDF documents. It is used by data analysts to collect critical information and analyze trends accordingly. It is also helpful in data science, legal, and finance domains for bulk extractions.
Related Post