What are the differences between DataMatrix and GS1 DataMatrix?

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DataMatrix and GS1 DataMatrix are both two-dimensional barcode formats that encode information in a square or rectangular pattern. However, there are differences:

1. Data Format: DataMatrix can encode numeric, alphanumeric, and byte data, while GS1 DataMatrix is used specifically for encoding GS1 Application Identifiers-defined data.

2. Encoding Capacity: GS1 DataMatrix can store more information than the standard DataMatrix. GS1 DataMatrix can encode up to 174 numeric or 110 alphanumeric characters, while DataMatrix can encode up to 3116 digits or 2335 ASCII characters.

3. Error Correction: Both formats use error correction to ensure the integrity of the data in the barcode. However, GS1 DataMatrix uses a more sophisticated error correction algorithm for better data reliability.

4. Usage: GS1 DataMatrix is commonly used in industries that require the use of GS1 standards such as retail, healthcare, and transportation. On the other hand, DataMatrix is used in a variety of applications such as identification cards, inventory tracking, and shipping labels.

5. Symbol Size: GS1 DataMatrix has a specific symbol size requirement defined by GS1 standards, which ensures compatibility across various systems. However, DataMatrix symbols can be of any size as long as they meet the minimum size requirement.