iText7 Extract Text from PDF Alternative 2023.7.4
hen comparing text extraction capabilities, both iText7 and IronPDF offer reliable methods to extract text from PDF documents. They can handle different types of PDF files, including scanned documents, and extract the textual content accurately.
iText7 provides a rich set of features for text extraction, allowing developers to extract text from specific pages, regions, or even structured data such as tables. It offers advanced text manipulation capabilities and supports features like font extraction, which can be useful for more advanced PDF processing tasks.
IronPDF, on the other hand, offers a straightforward approach to text extraction. Its API allows developers to extract text from PDF documents while preserving the formatting and structure. It provides methods to extract text from entire documents or specific pages, enabling targeted extraction based on specific requirements.
In terms of integration and ease of use, both libraries offer intuitive APIs and comprehensive documentation, making it easier for developers to get started with text extraction tasks. They provide code examples, tutorials, and support forums to assist developers in utilizing their features effectively.
Ultimately, the choice between iText7 and IronPDF for text extraction depends on specific project requirements, development environment, and personal preferences. It's recommended to evaluate both libraries based on the specific needs of your application and consider factors like language compatibility, features, ease of use, and support. For detailed tutorial visit https://ironpdf.com/blog/compare-to-other-components/itext7-extract-text-from-pdf/ .
Requirements
Changes: 2023.7.4
HTML conversion feature
XMP metadata feature
Improved API for setting metadata properties
PDF U/A support
HTML-to-PDF triggers via Javascript method and completion of network activity
Python 3.7+ support
Fixed connectivity issues regarding IronPdf Docker image
And more
