RAW 9 is a major new decoder version for CIRAWFilter that uses a tiled CoreML model running on the Apple Neural Engine to combine demosaicing and denoising in a single pass, dramatically improving sharpness, color accuracy, and noise reduction for hundreds of supported camera models.
• New .version9 decoder backed by a tiled CoreML model running on the Apple Neural Engine replaces hand-tuned algorithmic pipeline
• New class method CIRAWFilter.supportedCameraModels(for:) returns an array of supported models for a given decoder version
• colorNoiseReductionAmount, detailAmount, and moireReductionAmount properties are deprecated/no-op in RAW 9
• CIImageProcessor gains explicit output tile size control and temporary CVPixelBuffer APIs for custom processor authors
• RAW 9 delivers the biggest quality leap in Apple's RAW pipeline history — dramatically better noise reduction and sharpness, especially at high ISOs — without changing your rendering pipeline, just a few lines of code to opt in
• The CoreML-backed pipeline runs on the Apple Neural Engine with Core Image's intermediate caching, keeping interactive editing fast and responsive even though it's running hundreds of model passes per image
• Over 784 camera models are supported at launch (including iPhone DNG/ProRAW), with more added OTA, and per-property isSupportedAPI lets you gracefully handle version differences
Foundation Models is a new Apple framework introduced in iOS 27 that gives developers on-device access to the same Apple Intelligence language model powering system features, enabling text generation, structured output, and tool-calling entirely on-device without a network connection.
Visual Intelligence brings iOS 17's Visual Look Up capabilities to a new developer-facing API surface in iOS 27, letting apps pipe live camera frames or static images through on-device scene understanding to extract subjects, text, barcodes, and rich semantic labels without any cloud round-trip.
iOS 27 opens the Foundation Models framework to third-party LLM providers via a new public LanguageModel protocol, enabling anyone to integrate custom, server-based, or open-source models using the same Swift API as Apple's on-device system model.
In-depth guide
iOS 27 On-Device AI & Apple Intelligence →App Schemas let developers describe their app's content and actions using pre-defined domain schemas (like the Calendar domain) so Siri can understand, search, and act on app data without custom NLP. Entities conforming to IndexedEntity are donated to Spotlight's semantic index, enabling natural-language queries over app content.