Enhancing Barcode Scanning Accuracy and Utility with Regular Expressions

Regular Expressions, commonly known as “regex”, are pivotal in enhancing the accuracy and efficiency of barcode scanning processes. By integrating regex, businesses can significantly reduce errors and boost productivity. The CodeREADr app, compatible with iOS and Android devices, has facilitated regex usage for an extended period, streamlining data capture and identification tasks.

ChatGPT revolutionizes the way regex codes are created. By simply describing the desired pattern and outcome to ChatGPT, users can obtain a functional regex code within seconds. For verification and testing of the code, resources like the Regex101 website are available, ensuring the code’s efficacy before implementation.

This advancement empowers even those with no development background to integrate regex into their systems, thereby enhancing data capture accuracy and saving valuable time and resources.

Regex can be strategically used in several areas within the CodeREADr barcode scanning software to improve utility and accuracy:

• Alter Scanned Values. Here regex is used to change the scanned value to match the required result in a database.
• Alter Responses to Scanned Values. Here regex is used to display a specific response to an app user when a certain pattern is detected.
• Export Templates to Normalize Data. Here regex is used to change the format of the scanned data to match the format required in the target database.
• Custom On-Device Validation (COV). Here regex is used to stop app users from scanning barcodes that don’t match specific patterns. COV is a sophisticated, edge computing technology based on no-code/low-code implementations on the scanning device itself.

To achieve the best results with ChatGPT, specificity in your queries is crucial. For instance, when integrating with CodeREADr, your query might look like this:

“Please provide a regex pattern and substitution input using an online regex tester like regex101.com to display the values from a UPC barcode with the leading zero and check digit removed.”

Following this detailed query format ensures that the responses received are accurate and applicable, as demonstrated in our guide on removing the leading zero and check digit from a UPC barcode.

Example: Remove the Leading Zero and Check-Digit from UPC Barcode

Scanned UPC Value: 012345678901

Regex from ChatGPT

Pattern: ^0(\d{10})\d$

Replacement: $1

Regex101: https://regex101.com/r/rbcdLi/1

Result: The value “1234567890” will now accurately match the value in the inventory database.

Example: Serial Number Extraction from GS1 Code-128

Scanned Value with serial number 12345678: (01)05410013111009(10)ABC123(21)12345678

Scanning Result

GTIN = (01)05410013111009

BATCH/LOT = (10)ABC123

SERIAL = (21)12345678

Regex from ChatGPT

Pattern: (?s).*\(21\)(\d+).*

Replacement: $1

Regex101: https://regex101.com/r/HjpEOL/1

Result: The serial number “12345678” can now be used to track where items have been shipped and deployed.

Example: Lot  Number Extraction from GS1 Code-128

Scanned Value with lot number 10003456789: (01)00314141999995(10)10003456789(21)20006500234

Scanning Result

GTIN = (01)00314141999995

BATCH/LOT = (10)10003456789

SERIAL = (21)20006500234

Regex from ChatGPT

Pattern: (?s).*\(10\)(\d+).*

Replacement: $1

Regex101: https://regex101.com/r/m93R0i/1

Result: The lot number “10003456789” can now be used to verify if it’s a recalled item.

The synergy between ChatGPT and CodeREADr presents vast opportunities for future applications in data capture, collection, and process automation. To explore more about how these technologies can benefit your operations, please contact us at support@codereadr.com with “ChatGPT” in the subject line for further information. In the meantime, explore CodeREADr’s barcode system APIs for more details.