Extract Text
IronPDF for Python can extract the text content of a PDF document — either from the entire document at once or from individual pages — using the ExtractAllText and ExtractTextFromPage methods.
Getting Started
Load a PdfDocument from a file using PdfDocument.FromFile, then call the appropriate extraction method. Both methods return a Python string containing the extracted text.
Understanding the Code
PdfDocument.FromFile(path): Opens an existing PDF document from the specified file path. For password-protected files, pass the password as a second argument.ExtractAllText(): Returns a single string containing the text extracted from all pages of the document, in page order.ExtractTextFromPage(pageIndex): Returns the text content of a single page. ThepageIndexargument is zero-based — pass0for the first page,1for the second, and so on.
Use Cases
Text extraction is useful for:
- Search indexing — making PDF content searchable in a database or search engine.
- Data parsing — extracting structured data such as invoice numbers, dates, or addresses from PDF reports.
- Content verification — programmatically checking that generated PDFs contain the expected text.
- Accessibility — converting PDF content to plain text for screen readers or downstream processing.






