Skip to main content

Label Definitions

A Label Definition is a configuration that defines the label, and its relevant fields, that Smart Label Capture should recognize and extract during scans.

Smart Label Capture provides a Label Definition API, enabling you to configure and extract structured data from predefined and custom labels. This feature provides a flexible way to recognize and decode fields within a specific label layout such as price tags, VIN labels, or packaging stickers without needing to write custom code for each label type.

There are two approaches to using label definitions:

Pre-built Labels​

Smart Label Capture includes ready-made label definitions for common use cases. These pre-built options let you recognize and extract information from standard label types without creating custom configurations:

  • Price Label: This factory method is designed for price checking scenarios where both barcode and price text need to be captured from product labels. Returns SKU and priceText fields.
  • VIN Label: A predefined label definition for scanning Vehicle Identification Numbers (VIN). Returns text and/or barcode fields.
  • 7-Segment Display: This definition is used for capturing numeric values from 7-segment displays, such as those found on digital scales or meters. Returns text field for weight value.

Example: Price label​

Use the LabelCaptureSettings builder to configure a pre-built label definition for price labels, such as those found in retail environments:

Price Label Example

const settings = LabelCaptureSettings.builder()
    .addLabel(LabelDefinition.createPriceCaptureDefinition("price-label"))
    .build();

Custom Labels​

If Smart Label Capture’s pre-built options don’t fit your needs, define a custom label instead. Custom labels can combine your own fields with any of the available pre-built ones.

tip

The following characters are recognized: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ()-./:,$¶".

Custom Fields​

There are two types of custom fields you can define:

The following methods are available to configure custom fields:

MethodOptionalDescription
patternsNoThe regex patterns that identify the target string in the scanned content.
dataTypePatternsYesUsed to specify keywords or phrases that help identify the context of the field. This is particularly useful when the label contains multiple fields that could match the same pattern (e.g., when both packaging and expiry dates are present).
symbologiesNoThe barcode symbologies to match for barcode fields. This is important for ensuring that the field only captures data from specific barcode types, enhancing accuracy and relevance.
isOptionalYesWhether the field is optional or mandatory. This is helpful when certain fields may not be present on every scan.

Example: Fish Shipping Box​

This example shows how to create a custom label definition for a fish shipping box, which includes fields for barcode and batch number.

Fish Shipping Box Example

const settings = LabelCaptureSettings.builder()
    .addLabel(LabelDefinition.builder()
        .addCustomBarcode()
            .setSymbologies([Symbology.code128])
            .buildFluent("barcode-field")
        .addCustomText()
            .setDataTypePatterns(["Batch"])
            .setPatterns(["FZ\\d{5,10}"])
            .setOptional(true)
            .buildFluent("batch-number-field")
        .buildFluent("shipping-label"))
    .build();

Pre-built Fields​

You can also configure your label by using pre-built fields. These are some common fields provided for faster integration, with all patterns, dataTypePattern, and symbologies already predefined.

Customization of pre-built fields is done via the patterns, dataTypePatterns, and isOptional methods, which allow you to specify the expected format of the field data.

tip

All pre-built fields come with default patterns and dataTypePatterns that are suitable for most use cases. Using either method is optional and will override the defaults.

The resetDataTypePatterns method can be used to remove the default dataTypePattern, allowing you to rely solely on the patterns for detection.

Barcode Fields​

  • SerialNumberBarcode: A barcode field for capturing serial numbers, typically used in electronics and appliances.
  • PartNumberBarcode: A barcode field for capturing part numbers, commonly used in manufacturing and inventory management.
  • ImeiOneBarcode: A barcode field for capturing the first International Mobile Equipment Identity (IMEI) number, used in mobile devices.
  • ImeiTwoBarcode: A barcode field for capturing the second International Mobile Equipment Identity (IMEI) number, used in mobile devices.

Price and Weight Fields​

  • UnitPriceText: A text field for capturing the unit price of an item, often used in retail and grocery labels.
  • TotalPriceText: A text field for capturing the total price of an item, typically used in retail and grocery labels.
  • WeightText: A text field for capturing the weight of an item, commonly used in shipping and logistics.

Date and Custom Text Fields​

  • PackingDateText: A text field for capturing the packing date of an item, often used in food and beverage labels.
  • ExpiryDateText: A text field for capturing the expiry date of an item, commonly used in pharmaceuticals and food products.

Example: Hard disk drive label​

This example demonstrates how to configure a label definition for a hard disk drive (HDD) label, which typically includes common fields like serial number and part number.

Hard Disk Drive Label Example

const settings = LabelCaptureSettings.builder()
    .addLabel(LabelDefinition.builder()
        .addSerialNumberBarcode()
        .buildFluent("serial-number")
        .addPartNumberBarcode()
        .buildFluent("part-number")
        .buildFluent("hdd-label"))
    .build();