PDFlib TET

PDFlibPDF Tools.NETJavaWindows DLL
Version 6.0 (Dec 3, 2025)

Extract text, images, and metadata from PDFs with advanced analysis.

  • Processes a wide range of PDF documents, including encrypted and damaged files.
  • Converts extracted text into normalized Unicode with layout-aware reconstruction.
  • Extracts images with format, position, and color information preserved.
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Text extraction toolkit.
PDFlib TET is a text and data extraction toolkit for PDF documents. It converts content into normalized Unicode text while preserving structural and positional information. With support for complex layouts, images, and metadata, it enables reliable content analysis, indexing, and document conversion workflows.

Extensive PDF Compatibility

Processes a wide range of PDF documents, including modern specifications, encrypted files, and damaged content, ensuring consistent extraction results across diverse document types.

Unicode Text Extraction

Converts PDF text into normalized Unicode output, handling character mapping, ligatures, and encoding differences to produce consistent and machine-readable text across multiple languages and scripts.

Content and Layout Analysis

Analyzes document structure to reconstruct reading order, detect word boundaries, merge hyphenated text, and organize content into logical paragraphs and columns for improved usability.

Table and Structure Detection

Identifies tables, lists, and multi-column layouts, preserving structural relationships to support accurate data extraction and downstream processing of structured document content.

Precise Text and Image Positioning

Provides detailed geometric information including position, size, orientation, and font attributes for text and images, enabling precise spatial analysis and layout reconstruction.

Image Extraction

Extracts embedded images in their original formats while preserving quality, color information, and associated masks, supporting accurate reuse and processing of visual content.

Metadata and Document Information Access

Retrieves document metadata, including XMP properties, bookmarks, annotations, and embedded files, enabling comprehensive access to document-level information.

Flexible Output Options

Outputs extracted content as plain Unicode text or structured XML, providing detailed layout and semantic information for integration with search, indexing, and content processing systems.

Product Compatibility

Review the details below to ensure this product is supported within your environment.

Component Type

  • .NET
  • Java
  • Windows DLL

.NET Version

  • .NET 10 LTS
  • .NET 9 STS
  • .NET 8 LTS
  • .NET 5 / .NET Core 3.1
  • .NET 4.8 or earlier

.NET Platform

  • .NET Assembly
  • .NET Class
  • .NET Core 3.1 Assembly

Java Platform

  • Java Class

IDE Support

  • Visual Studio