Why Extracting Text from PDF Is Not Always Simple
A PDF is designed to display a document exactly as it was created — it is not designed to make the text easy to extract. Unlike a Word document where text flows in a logical order, a PDF stores text as positioned fragments on a page. A single paragraph might be stored as dozens of separate text objects, each placed at specific coordinates.
This means PDF text extraction is essentially a reconstruction task: reading all the text fragments, determining their order based on position, and assembling them back into readable paragraphs.
Two Types of PDFs
Text-based PDFs contain actual text data. These are PDFs created from Word documents, web pages, or typesetting software. The text is stored as characters with font and position information. Text extraction from these PDFs is reliable — the characters are right there in the file.
Image-based PDFs are essentially photographs of pages. These are created by scanning paper documents or taking photos of text. The PDF contains images, not text. There are no characters to extract — only pixels. Extracting text from these requires OCR (Optical Character Recognition), which analyzes the image to identify and convert letter shapes into text characters.
You can tell the difference by trying to select text in a PDF viewer. If you can highlight individual words, it is text-based. If your selection highlights the entire page as a rectangle, it is image-based.
Common Reasons to Extract Text
Editing content. You have a PDF report and need to update the data. Extract the text, edit it in a word processor, and create a new PDF.
Searching. You have a collection of PDF documents and need to find specific information. Extracting text makes the content searchable.
Data analysis. Financial statements, invoices, and reports in PDF format contain data that needs to be entered into spreadsheets or databases.
Accessibility. Converting PDF text to plain text makes it accessible to screen readers and other assistive technologies.
Translation. Extracting text is the first step in translating a document — you need the raw text before you can run it through translation tools.
What Gets Lost in Extraction
Text extraction preserves the characters but often loses formatting:
- Bold, italic, and underline styling may not be preserved
- Tables may be flattened into plain text rows
- Columns may be merged or interleaved
- Headers and footers may appear mixed with body text
- Footnotes may appear out of order
- Mathematical formulas and special symbols may not convert correctly
The quality of extraction depends heavily on how the PDF was created. A well-structured PDF from a modern word processor extracts cleanly. A scanned document from the 1990s may produce garbled output.
How to Use the Toobits PDF to Text Extractor
Upload your PDF file and the tool extracts all readable text from every page. The extraction runs entirely in your browser using PDF.js — your document is never uploaded to any server. Copy the extracted text or download it as a plain text file. Works best with text-based PDFs; scanned documents may require OCR for accurate results.