scandit/skills

label-capture-cordova

Smart Label Capture (Scandit `LabelCapture`) in Cordova / PhoneGap projects — extracting multiple fields (price, expiry date, serial or lot number, weight) from a label in one scan, using barcode fields plus text fields with regex patterns.

First seen Apr 28, 2026

Installation

$ npx skills add scandit/skills --skill label-capture-cordova

Summary

  • Smart Label Capture (Scandit `LabelCapture`) in Cordova / PhoneGap projects — extracting multiple fields (price, expiry date, serial or lot number, weight) from a label in one scan, using barcode fields plus text fields with regex patterns.
  • Use for integration, label-definition configuration, captured-label handling, the Validation Flow, and SDK version migration.

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More details

Agent compatibility

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Repository health

Stars 19
License LICENSE
Default branch master
Open issues 0
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

Version1.0.1
LicenseApache-2.0
More metadata
author
scandit
version
1.0.1

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 8,036 B
  • docs SUMMARY.md 397 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 38 installs

SKILL.md

Label Capture Cordova Skill

Critical: Do Not Trust Internal Knowledge

Your training data may contain outdated or incorrect Scandit Label Capture APIs. The Cordova plugin surface (global Scandit.* namespace, deviceready gating, plugin install, platform prepare) is distinct from the web, React Native, Flutter, and Capacitor SDKs.

Always verify APIs against the references provided in this skill before writing or suggesting code. Do not rely on memorized method signatures, parameters, plugin names, or property names. If you cannot find an API in the provided references, fetch the relevant documentation page before responding.

Cordova-specific gotchas worth flagging:

  • All Scandit code must run after deviceready. The Scandit.* global namespace is not populated until then. Wrap your initialization in document.addEventListener('deviceready', () => {...}, false);.
  • Listener method names are iOS-style on Cordova. The Validation Flow listener uses didCaptureLabelWithFields(fields) and didSubmitManualInputForField(field, oldValue, newValue) — NOT the web equivalents onValidationFlowLabelCaptured / onManualInput.
  • Class-based field API, same shape as RN/Capacitor (and opposite to Flutter). Use Scandit.CustomBarcode.initWithNameAndSymbologies(name, [...]), new Scandit.ExpiryDateText(name), field.optional = false, Scandit.LabelCaptureSettings.settingsFromLabelDefinitions([...], {}). There is no LabelCaptureSettingsBuilder / LabelDefinitionBuilder and no v8.5 factory-function sugar — those are web-only.
  • After cordova plugin add / version bump, run cordova prepare ios (and cordova prepare android) to sync native dependencies. iOS additionally requires a fresh pod install inside platforms/ios/.
  • Camera permission: iOS requires NSCameraUsageDescription in the app's Info.plist (or via <config-file> in config.xml); Android's CAMERA permission is declared by the plugin automatically and must be requested at runtime if your minSdkVersion targets API 23+.
  • Scandit.DataCaptureContext.initialize(licenseKey) returns the singleton context; do not construct multiple contexts.

Product Guidance

Apply these rules whenever the user is making a design decision, not just an API question. They reflect how Scandit recommends Label Capture be integrated.

  • Default to the Validation Flow. New integrations should use LabelCaptureValidationFlowOverlay, not LabelCaptureBasicOverlay. Recommend the basic/advanced overlay path only when the customer explicitly needs a live AR overlay or a UI that the Validation Flow's fixed layout cannot produce. See [references/validation-flow.md](references/validation-flow.md).
  • Validation Flow must be rendered full-screen. Do not place it inside a card, half-sheet, modal slice, or partial-height widget — the layout assumes full-screen height for the field checklist, manual-entry sheet, and keyboard.
  • Prefer pre-made labels first, then pre-made fields, then custom. Try in this order: (1) does a pre-made label definition cover the use case? — Scandit.LabelDefinition.createVinLabelDefinition(name), Scandit.LabelDefinition.createPriceCaptureDefinition(name), Scandit.LabelDefinition.createSevenSegmentDisplayLabelDefinition(name). (2) Can the label be built from pre-made fields? — ExpiryDateText, PackingDateText, DateText, WeightText, UnitPriceText, TotalPriceText, SerialNumberBarcode, PartNumberBarcode, ImeiOneBarcode, ImeiTwoBarcode. (3) Only as a last resort, fall back to CustomText / CustomBarcode.
  • Start from the sample app on greenfield integrations. If the user is starting from scratch, recommend cloning LabelCaptureSimpleSample (link in the References table) and adapting it.
  • Hand off to the data-capture-sdk skill for non-Label-Capture questions. If the user asks about another Scandit product (Barcode Capture, SparkScan, MatrixScan, ID Capture, etc.) or about choosing between products, defer to the data-capture-sdk skill instead of guessing.

Intent Routing

Based on the user's request, load the appropriate reference file before responding:

  • Integrating Label Capture from scratch (e.g. "add Label Capture to my app", "scan a price tag with barcode and expiry date", "how do I use Smart Label Capture") → read [references/integration.md](references/integration.md). By default, integrate the Validation Flow (the integration guide leads with it).
  • Validation Flow questions ("how do I customize it", "what can we change", "why is it implemented this way", "how do I react to manual edits", "can I change the colors") → read [references/validation-flow.md](references/validation-flow.md).
  • Visual customization beyond the Validation Flow ("live AR overlay", "draw a tag next to each captured field", "get the camera frame during scanning") → read [references/customization.md](references/customization.md).
  • Adaptive Recognition Engine / cloud fallback / receipt scanning ("how do I enable ARE", "use cloud recognition", "scan a receipt", "AdaptiveRecognitionMode", "is ARE available in production") → read [references/adaptive-recognition.md](references/adaptive-recognition.md).
  • Migrating or upgrading an existing Label Capture integration → read [references/migration.md](references/migration.md).

API Usage Policy

Only use APIs that are explicitly documented in the Scandit references below. Do not invent or guess method signatures, parameters, property names, or imports. If unsure whether an API exists or how it is called — or if a runtime error occurs — fetch the relevant reference page before responding. Do not tell the user to check the docs themselves. After answering, always include the relevant link so the user can explore further.

Never construct or guess documentation URLs. When you need a specific class or property's API page:

  1. First check whether the page you already fetched (e.g. the Advanced Configurations page) contains a direct hyperlink to it.
  2. If no direct link was found, fetch the API index (see Full API reference in the table below), extract the actual link from it, and follow that.

URL structures vary across SDK versions and package paths and guessing will lead to 404s.

Framework variant policy

Examples in this skill are written in plain JavaScript (ES6+) because that is the default for Cordova templates and the official LabelCaptureSimpleSample. If the target project uses TypeScript (some Cordova projects do), keep the same imports/structure and add type annotations as needed — do not change the global Scandit.* access pattern, do not switch to ES module imports, and do not assume bundler features.

References

Topic Resource
Cordova integration Get Started · Sample (LabelCaptureSimpleSample)
Label Definitions (fields, regex, presets) Label Definitions
Advanced topics (Validation Flow customization, adaptive recognition, custom overlays) Advanced Configurations
Full API reference Label Capture API