Scan PDF417 Barcode using Python

Scan PDF417 barcodes via your Python applications without installing any other software.

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Why Recognize PDF417 Barcodes via Python?

Recognizing PDF417 barcodes via Python is crucial for extracting structured data from these barcodes. This recognition process simplifies data entry and automation, facilitating accurate and efficient information retrieval for various applications such as inventory management, identification, and document processing within Python-based systems.

How Aspose.Total can help in Scanning PDF417 Barcodes?

If you’re a developer aiming to scan custom PDF417 barcode images within a Python application, consider leveraging the Aspose.Total for Python via .NET API. This comprehensive package includes various APIs capable of handling different formats, 1D and 2D barcodes, and even Postal barcodes. Specifically, the Aspose.BarCode for Python via .NET API, part of the Aspose.Total for Python via .NET package, simplifies the scanning process. Developers can fine-tune the recognition engine parameters to achieve fast barcode scanning or improve reading accuracy, catering to specific business requirements.

How to Recognize PDF417 BarCode in Python

  • Use BarCodeReader class object with DecodeType.AllSupportedTypes as parameter
  • By calling read_bar_codes() to get all the PDF417 code
  • Iterate through all result to print it

PDF417 Recognition Requirements

  • For PDF417 Barcode scanning, Python 3.5 or later is required
  • Reference APIs within the project directly from PyPI ( Aspose.BarCode )
  • Or Use the following pip commands pip install aspose-barcode-for-python-via-net
  • Moreover, Microsoft Windows or Linux based OS (see more for BarCode )
 

Recognize PDF417 Symbology Barcode via Python Code

 

Explore Barcode Scanner Options with Python

Scan AUSTRALIAPOST (Australia Post Code)
Scan AZTEC (Aztec 2D Barcode)
Scan CODE128 (Code 128)
Scan CODE16K (Code 16K Barcode)
Scan CODE32 (CODE 32 Barcode)
Scan CODE39 (Code 39 Standard)
Scan CODE93 (Code 93 Standard)
Scan CODEBLOCK (CodablockF Barcode)
Scan DATAMATRIX (Data Matrix Code)
Scan DATABAR (GS1 DataBar (Reduced Space Symbology))
Scan DATALOGIC2OF5 (Datalogic 2 of 5 Barcode)
Scan DEUTSCHEPOST (Deutsche Post Leitcode)
Scan DOTCODE (DotCode 2D Barcode)
Scan DUTCHKIX (Dutch KIX Barcode)
Scan EAN (European Article Number)
Scan IATA2OF5 (IATA 2 of 5 Barcode)
Scan INTERLEAVED2OF5 (Interleaved 2 of 5 Barcode)
Scan ISBN (International Standard Book Number)
Scan ISMN (International Standard Music Number)
Scan ISSN (International Standard Serial Number)
Scan ITALIANPOST25 (ItalianPost25 Code)
Scan ITF (Interleaved 2 of 5 (ITF))
Scan MATRIX2OF5 (Matrix 2 of 5 Barcode)
Scan ONECODE (USPS 4-State Customer Barcode)
Scan PDF417 (PDF417 Code)
Scan PLANET (PLANET)
Scan POSTNET (POSTNET)
Scan QR (Quick Response Code)
Scan RM4SCC (Royal Mail 4-State Customer Code)
Scan SINGAPOREPOST (Singapore Post QR Code)
Scan STANDARD2OF5 (Code 25 Interleaved)
Scan SWISSPOSTPARCEL (Swiss Post Parcel Code)
Scan UPC (UPC Code)

What is PDF417 Barcode?

The PDF417 code is a two-dimensional barcode that is capable of storing large amounts of data in a small space. It was first developed by Symbol Technologies in 1991 and has since become a popular format for encoding data in a variety of industries, including transportation, logistics, and healthcare. One of the key features of the PDF417 code is its high data capacity. It can store up to 1.1 kilobytes of data in a single code, which is significantly more than traditional linear barcodes. This makes it a useful tool for applications where large amounts of data need to be encoded in a small space, such as on shipping labels or identification cards. Another advantage of the PDF417 code is its ability to encode both text and binary data. This means that it can be used to store a wide range of information, from simple product codes to complex medical records. In addition to its high data capacity and flexibility, the PDF417 code is also highly reliable. It includes error correction algorithms that can detect and correct errors caused by dirt, scratches, or other forms of damage.