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Objective-C

Release Notes for Dynamsoft Barcode Reader JavaScript SDK

11.4.2001 (04/24/2026)

Fixed

  • Fixed an issue where coordinate conversion could behave abnormally after large images were compressed.
  • Fixed an issue where abnormal DCEFrame imageData could cause errors in the toCanvas() method.

improved

  • Optimized the behavior of the Dynamsoft Camera Enhancer torch and other camera-related features.

11.4.2000 (04/21/2026)

⚠️ Roadmap notice: Foundational API Becomes Primary

Starting with this release, the Foundational API (CaptureVisionRouter and related classes) is officially the primary and recommended integration path for DBR-JS. BarcodeScanner transitions to the role of an officially maintained simplified wrapper.

What this means in practice:

  • v11 (current) – No breaking changes. BarcodeScanner continues to work exactly as before and will receive maintenance updates and bug fixes for the entire v11 lifecycle.
  • v12 (future) – BarcodeScanner will no longer be bundled as part of the main dynamsoft-barcode-reader-bundle package. It will be distributed separately but will still be officially supported.

Why this change:

  • Foundational scales; the wrapper doesn’t. When projects move beyond basic demos — integrating other DCV components (document detection, label recognition), or building production workflows — BarcodeScanner hits a wall. Developers may end up rebuilding on the Foundational API.
  • One clear path, not two. Two parallel API surfaces create confusion at evaluation time — for developers and for the AI coding assistants they increasingly use. A single recommended path simplifies onboarding.
  • AI tools close the boilerplate gap. Much of BarcodeScanner’s value was fewer lines of code. With AI-assisted coding now common, developers can scaffold Foundational API code just as quickly.

Recommended action for new projects: Build on the Foundational API to ensure forward compatibility. See the Foundational API Guide for a full walkthrough.

Existing projects using BarcodeScanner: The wrapper will continue to receive long-term support. No action required for v11. When v12 is released, a guide will be provided for migrating to the Foundational API or continuing to use the wrapper.

Highlights

AI-Powered Barcode Detection and Decoding

  • PDF417 Localization Model – Introduces the PDF417Localization neural network model for improved detection of PDF417 barcodes, especially under challenging conditions.

  • Code39/ITF Decoding Model – Adds the Code39ITFDecoder model for enhanced decoding of Code 39 and ITF barcodes under blurred or low-resolution conditions.

  • Deblur Models for 2D Barcodes – Adds the DataMatrixQRCodeDeblur and PDF417Deblur models to provide more effective recovery from motion and focus blur for DataMatrix, QR Code, and PDF417 barcodes.

ECI (Extended Channel Interpretation) Support

  • ECI Information Return – Adds support for retrieving Extended Channel Interpretation (ECI) data from barcodes. The new ECISegment interface, along with the eciSegments property in the BarcodeResultItem and DecodedBarcodeElement interfaces, enables access to character encoding information embedded in barcodes.

  • ECI-Based Text Interpretation – Adds support for interpreting ECI segments during barcode decoding, improving compatibility with international character sets.

Performance Improvements

  • On-Demand Model Loading – Implements lazy loading for AI models, reducing initialization time by loading models only when first needed.

  • Smart Model Selection – Models are now loaded based on configured barcode formats, minimizing memory usage by excluding unused models.

  • Improved Confidence Scoring – Enhances confidence score calculation for results from neural network models, providing more accurate quality indicators.

  • DPM Barcode Optimization – Improves recognition rate for Direct Part Marking (DPM) barcodes commonly used in industrial and manufacturing environments.

API Changes

New

Changed

  • Barcode text encoding fallback changed from UTF-8 to ISO-8859-1 when no ECI information is present in the barcode.

  • All methods under the ImageProcessor class now additionally accept DSImageData as an image input type.

  • All methods under the ImageIO, ImageProcessor, and ImageDrawer classes have been changed to static methods.

  • CodeParserModule.loadSpec() now returns a Promise<ErrorInfo> instead of void.

  • Updated default value of compensation parameter in convertToBinaryLocal() from 0 to 10.

  • convertToBinaryGlobal() and convertToBinaryLocal() of ImageProcessor class now support color, binary and grayscale images as input.

  • Parser resource files (.json) have been consolidated into encrypted .data files for improved security and simplified distribution:
    • AADHAAR.data, AAMVA_DL_ID.data, GS1_AI.data, MRTD.data, SOUTH_AFRICA_DL.data, VIN.data
  • CameraEnhancer.open() now returns Promise<void> when operating in singleFrameMode.

Removed

Fixed

  • Fixed incorrect coordinate in barcode result when using neural network models with a specified region.

  • Fixed crash and hang issues that could occur in certain scenarios.

  • Fixed various minor bugs and improved overall stability.

11.2.4000 (11/11/2025)

Fixed

  • Fixed a bug that could cause a crash when using model localization with a 2D barcode.

11.2.2000 (11/04/2025)

Highlights

AI-Powered Barcode Detection and Decoding

  • New Localization Models – Introduces OneDLocalization and DataMatrixQRCodeLocalization neural network models for improved detection of blurred / low-resolution 1D codes, or partially damaged DataMatrix/QR codes.
  • Specialized Decoders – Adds EAN13Decoder and Code128Decoder models optimized for long-distance and motion-blurred decoding scenarios.
  • Redesigned Deblur Model – The OneDDeblur model now provides more effective recovery from motion and focus blur.
  • Configurable Model Selection – The new ModelNameArray parameter supports flexible model loading and fine-grained control for specific barcode types.

Precision and Processing Control

  • Enhanced Deblur Methods – DM_DEEP_ANALYSIS now includes sub-level control with OneDGeneral, TwoDGeneral, and EAN13Enhanced options.
  • Barcode Count Expectation – The new ExpectedBarcodesCount parameter enables format-specific quantity control and early termination in fixed-count workflows.
  • Improved Region Detection – The new RPM_GRAY_CONSISTENCY mode provides more precise region extraction based on grayscale uniformity and local consistency for document and label processing.

Performance Highlights

  • Up to 26.5% higher read rates under blur conditions with as much as 44% faster processing.
  • Reliable decoding of DataMatrix and QR codes with missing or damaged finder patterns.
  • Extended operational range beyond 75 cm for long-distance barcode scanning.

Developer Notes

  • Backward Compatibility – Fully compatible with existing integrations; no code-level changes required for upgrade.
  • Configuration Flexibility – Expanded parameter set allows comprehensive model configuration for scenario-specific tuning.
  • Production Stability – All new models validated in enterprise environments.

Engineering Optimizations

  • Optimized the parallel download logic to improve resource loading speed.
  • Optimized adaptive WASM loading logic to further enhance performance in modern browser environments.

API Changes

New

  • Added the switchCapturingTemplate() method to the CaptureVisionRouter class to enable switching the active capturing template during the image processing workflow.
  • Added methods toBlob(), toImage(), and toCanvas() to the originalImageResultItem interface for flexible image data conversion.
  • Added the SetGlobalIntraOpNumThreads() method to the CaptureVisionRouter class to configure the global thread count for model inference.
  • Added the clearDLModelBuffers() method to the CaptureVisionRouter class to manually release memory occupied by loaded models.
  • Added callback functions onSpecLoadProgressChanged() and onWasmLoadProgressChanged() to monitor resource loading progress.
  • Added the convertToContainCoordinates() method to the CameraEnhancer class to convert coordinates from fit: cover to fit: contain mode.
  • Added the LM_NEURAL_NETWORK enumeration to EnumLocalizationMode.

Updated

  • Changed the default value of MaxThreadsInOneTask from 4 to 0.
  • Changed the default value of IncludeTrailingCheckDigit from 1 to 0.

Deprecated

  • Deprecated the DeblurModelNameArray argument in the DeblurModes parameter. Use ModelNameArray instead.
  • Deprecated the appendModelBuffer() method in the CaptureVisionRouter class. Use appendDLModelBuffer() instead.

BarcodeScanner Wrapper Updates

  • In single mode, if the target barcode is not found among the candidates, there is now an opportunity to rescan.
  • Fixed an issue where the barcode location could be inaccurate in certain cases.
  • Fixed a problem where, in specific cases when the camera was occupied, the video stream could not be displayed correctly.
  • Other known issues fixed.

11.0.6000 (08/14/2025)

New

  • Introduced new samples:

    • Pick One to Fill - run↗: Pick one and auto-fill fields by simply opening the camera and scanning a group of barcodes.
    • Batch Inventory - run↗: An inventory management tool scan barcodes in batches and provide real-time analysis of the scanned data.
    • Read and Parse GS1-AI - run↗: Read GS1 Application Identifier (AI) barcode and parse its structured data.

  • Template Version Validation: Introduced version checking for templates to prevent compatibility issues and mismatches.

Changed

  • License Validation Behavior: Instead of stopping execution immediately on an invalid license module, the library now continues processing and returns results from modules with valid licenses. A warning is still reported to indicate the license issue.

Fixed

  • Fixed various minor bugs and improved overall stability.

11.0.3000 (07/09/2025)

Highlights

Workflow Improvements

  • Restructured the parameter control hierarchy at all levels for finer scope definition and more granular process management, with the stage level newly added.

Deep Learning Integration

  • Improved the reading rate of 1D barcode by introducing a new deblurring deep-learning model.

Algorithm Enhancements

  • Enabled deduplication at the Region of Interest (ROI) level to consolidate results from multiple tasks.
  • Improved the CODE_128 and DataMatrix DeepAnalysis algorithms for better decoding accuracy and performance.
  • Added support for new barcode types: CODE_32, MATRIX_25, KIX, and TELEPEN.
  • Added GS1 Application Identifiers (AI) support for improved code parsing capabilities.

Engineering Optimizations

  • Simplified the loading and configuration of WASM resources, reducing the overall size of the WASM files.

BarcodeScanner Wrapper Updates

  • Added several new UI controls (not displayed by default).

  • Introduced a new "Scan and Search" sample to simulate searching for relevant data via barcodes. Give it a try!

  • Added the customHighlightForBarcode API to easily customize highlights on detected barcodes.
  • Updated default values for certain parameters:
    • The close button is now shown by default.
    • The resultView is now shown by default for multi_unique mode.
  • Improved deduplication and billing logic for more accurate count tracking.
  • Minor bug fixes and performance improvements.

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