Softek Barcode Reader Toolkit for Linux

Softek SoftwareBarcode ToolsJavaObjective-C LibraryStatic Link LibraryWindows DLL
Version v9.4.1 (Jul 14, 2025)

Comprehensive barcode reading SDK for Linux and related platforms.

  • Reads both 1D and 2D barcodes from images and PDF files.
  • Offers multiple language interfaces including C, Perl, Java, and Python.
  • Supports document splitting and image preprocessing for accuracy.
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Read normal 1D and 2D barcodes from images, bitmaps and PDF Documents.
Softek Barcode Reader Toolkit for Linux enables the efficient extraction of barcode information from digital images and PDFs on Linux, OSX, ARM, Solaris and more. Compatible with many programming languages, it supports diverse barcode symbologies and includes tools for image optimization and document management, facilitating automated indexing and processing workflows.

1D and 2D Barcode Reading

Reads both 1D and 2D barcodes from images, bitmaps, and PDF documents. The toolkit supports a wide range of commonly used barcode symbologies for document processing applications.

Multi-Language Interfaces

Provides interfaces for C/C++, Java, Perl, and Python, along with shared object (.so) libraries for integration into Linux environments and command-line workflows.

PDF and Multi-Page TIFF Processing

Supports reading barcodes from PDF documents and multi-page TIFF files, with the ability to split documents based on barcode position for automated indexing and document separation tasks.

Linux and macOS Support

Designed for Linux systems with additional builds available for macOS and ARM-based platforms, including Raspberry Pi and Cortex architectures.

Document Workflow Integration

Enables automated document processing by extracting barcode data for routing, indexing, and file management operations within enterprise workflows.

Configurable Noise Reduction

Includes a NoiseReduction property that applies a configurable image filter prior to barcode scanning, helping remove extraneous marks and improve decoding accuracy in low-quality or noisy images.

Product Compatibility

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

Component Type

  • Java
  • Objective-C Library
  • Static Link Library
  • Windows DLL

Java Platform

  • Android Library