دانلود IvyPdf v1.64.1 + کرک

What is IvyPdf?

IvyPdf helps you to extract valuable information from unstructured PDF documents quickly and easily. It can extract unlimited individual values and tables and provides a powerful post-processing mechanism to further clean and format the data.

While PDFs are the library's primary target, they can also be used to parse Excel, Text, HTML, and other file formats, thus allowing you to use a single tool for all your data processing needs.

The difference

Traditionally, PDF extraction tools convert PDF documents to plain text and search them using various means. This approach eliminates any rich formatting information like font type, character size, or bold/italic attributes.

Ivy Pdf Parser reads PDF as a graphical document so you can use all rich text attributes for matching. For some documents, it helps to extract the last pieces of information that cannot be determined from the plain text.

Ivy Pdf Parser (.NET library)

Our Pdf Parser enables searching and extracting information from complex PDF documents, including ones with inconsistent formatting, variable-length text columns, and tables.

IvyPdf Great Features:

• Flexible text search.
  Search text, regular expressions, and font attributes.
• Geometrical search.
  Find elements relative to other elements.
  (For example, a text on the right of the word "Total")
• Table extraction.
  Tables are recognized automatically.
• Built-in functions.
  Clean up extracted data and connect pieces.
• Extensible.
  Use a collection of raw elements and write your logic to parse it.
• 100% .Net managed code.
  Very fast.

Now includes powerful Template Editor.

• Easy to use GUI. Create and test expressions and preview results on multiple documents simultaneously.
• Any number of data points. Extract single values and tables.
• Powerful post-processing. Joins, filters, conversions, and all power of C# for your convenience.
• Template inheritance. Create sub-templates to deal with different document variations.
• Validation tests. Write logic to validate the results.
• Export results to Excel or JSON. Include tables in the result.
• Automation support. Integrate extraction into your process.
• Extensible. Reference any .Net library.

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