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  • Analysez les traits avec PencilKit

    Exploitez la reconnaissance de l'écriture manuscrite dans vos apps grâce à la même technologie puissante utilisée dans les apps Apple comme Freeform et Notes. Découvrez comment utiliser la reconnaissance de l'écriture manuscrite dans un large éventail d'alphabets et de langues, et explorez de nouvelles possibilités d'intégration de PencilKit dans une plus grande variété d'apps.

    Chapitres

    • 0:00 - Introduction
    • 3:25 - Handwriting recognition
    • 8:38 - Path conversion
    • 10:21 - Improved model access
    • 11:25 - Stroke slicing
    • 13:48 - Next steps

    Ressources

    • Controlling stroke rendering for animation and editing
    • Recognizing handwriting and converting it to text
    • Building a handwriting recognition experience with PencilKit
    • PencilKit
      • Vidéo HD
      • Vidéo SD

    Vidéos connexes

    WWDC26

    • Découvrez PaperKit

    WWDC25

    • Découvrez PaperKit

    WWDC20

    • Inspect, modify, and construct PencilKit drawings
  • Rechercher dans cette vidéo…
    • 3:53 - Recognized text

      import PencilKit
      
      let recognizer = PKStrokeRecognizer()
      await recognizer.updateDrawing(drawing)
      myLabel.text = await recognizer.recognizedText()
    • 5:22 - Indexable content

      import PencilKit
      
      let recognizer = PKStrokeRecognizer()
      await recognizer.updateDrawing(drawing)
      if let indexedContent = await recognizer.indexableContent {
          index(text: indexedContent)
      }
    • 6:58 - Find text

      import PencilKit
      
      let recognizer = PKStrokeRecognizer()
      await recognizer.updateDrawing(drawing)
      let results = await recognizer.search("apple")
      for result in results {
          highlight(bounds: result.bounds)
      }
    • 0:00 - Introduction
    • Meet the PencilKit APIs behind handwriting in Notes and Freeform, now available to your apps in iOS 27.

    • 3:25 - Handwriting recognition
    • Use the stroke recognizer API for on-device text recognition, indexing, search, and accessibility.

    • 8:38 - Path conversion
    • Converting PKStrokePath to and from Bézier paths without losing fidelity, so apps that store strokes as Bézier can build PKDrawings and use handwriting recognition on any canvas, not just PKCanvasView.

    • 10:21 - Improved model access
    • Deeper access to the drawing model in iOS 27 — stable Identifiable stroke IDs that survive edits and undo, controllable canvas selection with a change delegate, and adjustable wet-ink render groups.

    • 11:25 - Stroke slicing
    • Two ways to slice strokes — programmatic erasing that cuts one stroke into independent strokes, and substroke extraction with parametric ranges — along with performance considerations for complex drawings.

    • 13:48 - Next steps
    • Ways to put these APIs to work: adopt PKStrokeRecognizer for handwriting recognition, convert existing Bézier paths, track strokes with stable identity, and use stroke slicing for erasing and animation.

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