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Biip interprets the data in barcodes.

Project description

📦 Biip

Biip interprets the data in barcodes.

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Biip is a Python library for making sense of the data in barcodes.

The library can interpret the following formats:

  • GTIN-8, GTIN-12, GTIN-13, and GTIN-14 numbers, commonly found in EAN-8, EAN-13, and ITF-14 barcodes.

  • GS1 AI element strings, commonly found in GS1-128 barcodes.

  • UPC-A and UPC-E numbers, as found in UPC-A and UPC-E barcodes.

For a quickstart guide and a complete API reference, see the documentation.

Installation

Biip requires Python 3.6 or newer.

Biip is available from PyPI:

python3 -m pip install biip

Optionally, with the help of py-moneyed, Biip can convert amounts with currency information to moneyed.Money objects. To install Biip with py-moneyed, run:

python3 -m pip install "biip[money]"

Project resources

Development status

All planned features have been implemented. Please open an issue if you have and barcode parsing related needs that are not covered.

Features

  • GS1 (multiple Element Strings with Application Identifiers)
    • Recognize all specified Application Identifiers.
    • Recognize allocating GS1 Member Organization from the GS1 Company Prefix.
    • Parse fixed-length Element Strings.
    • Parse variable-length Element Strings.
      • Support configuring the separation character.
    • Parse AI 00 as SSCC.
    • Parse AI 01 and 02 as GTIN.
    • Parse dates into datetime.date values.
      • Interpret the year to be within -49/+50 years from today.
      • Interpret dates with day "00" as the last day of the month.
    • Parse variable measurement fields into Decimal values.
    • Parse discount percentage into Decimal values.
    • Parse amounts into Decimal values.
      • Additionally, if py-moneyed is installed, parse amounts with currency into Money values.
    • Encode as Human Readable Interpretation (HRI), e.g. with parenthesis around the AI numbers.
    • Easy lookup of parsed Element Strings by:
      • Application Identifier (AI) prefix
      • Part of AI's data title
  • GTIN (Global Trade Item Number)
    • Parse GTIN-8, e.g. from EAN-8 barcodes.
    • Parse GTIN-12, e.g. from UPC-A and UPC-E barcodes.
    • Parse GTIN-13, e.g. from EAN-13 barcodes.
    • Parse GTIN-14, e.g. from ITF-14 and GS1-128 barcodes.
    • Extract and validate check digit.
    • Extract GS1 Prefix.
    • Extract packaging level digit from GTIN-14.
    • Encode GTIN-8 as GTIN-12/13/14.
    • Encode GTIN-12 as GTIN-13/14.
    • Encode GTIN-13 as GTIN-14.
  • RCN (Restricted Circulation Numbers), a subset of GTINs
    • Classification of RCN usage to either a geographical region or a company.
    • Parsing of variable measurements (price/weight) into Decimal values.
    • Parsing of price values into Money values if py-moneyed is installed and the region's RCN parsing rules specifies a currency.
    • Estland: Parsing of weight.
    • Finland: Parsing of weight.
    • Great Britain: Parsing of price, including validation of price check digit.
    • Latvia: Parsing of weight.
    • Lithuania: Parsing of weight.
    • Norway: Parsing of weight and price.
    • Sweden: Parsing of weight and price.
    • Encode RCN with the variable measure part zeroed out, to help looking up the correct trade item.
  • SSCC (Serial Shipping Container Code)
    • Validate check digit.
    • Encode for human consumption, with the logical groups separated by whitespace.
  • UPC (Universal Product Code)
    • Parse 12-digit UPC-A.
    • Parse 6-digit UPC-E, with implicit number system 0 and no check digit.
    • Parse 7-digit UPC-E, with explicit number system and no check digit.
    • Parse 8-digit UPC-E, with explicit number system and a check digit.
    • Expand UPC-E to UPC-A.
    • Suppress UPC-A to UPC-E, for the values where it is supported.
  • Symbology Identifers, e.g. ]EO
    • Recognize all specified Symbology Identifier code characters.
    • Strip Symbology Identifers before parsing the remainder.
    • Use Symbology Identifers when automatically selecting what parser to use.

License

Biip is copyright 2020-2021 Stein Magnus Jodal and contributors. Biip is licensed under the Apache License, Version 2.0.

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