Datamatrix 1.6

Binariver LTD ❘ Kommersiell ❘
iOS

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The Datamatrix barcode generator and scanner offers a practical tool for creating and interpreting two-dimensional barcodes. Users can simply input text, and the application immediately generates an accurate Datamatrix symbol. The generated images can be exported as high-resolution PNG files or PDFs for sharing or embedding into various documents and messages. Integration into other systems is seamless, allowing users to insert Datamatrix barcodes directly where needed.

The scanning function enables quick decoding of any Datamatrix barcode, providing the embedded data as editable text. Additionally, the app can generate a reworked Datamatrix barcode from scanned data, facilitating editing or re-encoding. Offline functionality ensures that all features are accessible without an internet connection. The application also supports saving both generated and scanned barcodes locally, with the capability to retrieve them at any time.

Available on iPhone and iPad, this tool leverages the capabilities of modern mobile devices to streamline barcode operations in various contexts.

Datamatrix is a two-dimensional barcode represented as a square or rectangular matrix composed of dark and light modules arranged in a precise grid pattern. The symbol contains a finder pattern, which assists in orientation and structural decoding. Encoded data is translated into a series of dark and light modules based on a predefined element size known as the X-dimension.

The format supports variable-length data encoding, leading to differently sized symbols depending on the amount of information stored. The size of the resulting barcode correlates directly with the quantity and type (numeric or alphanumeric) of data encoded, with more bits requiring a larger symbol.

In its square form, Datamatrix can encode up to 2,335 alphanumeric characters or 3,116 numeric digits. Multiple encoding schemes such as ASCII, ISO/IEC 646, C40, Text, X12, EDIFACT, and Base 256 can be used within the same symbol to optimize data density and efficiency. Using a subset of ISO/IEC 646 (comparable to ASCII), which supports most characters encountered in everyday computing environments, is recommended as the default encoding method for broad compatibility.

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