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plugin for native ONNX Runtime inference on Android, iOS and Web","maintainers":[{"name":"sharcoux","email":"f.billioud@gmail.com"},{"name":"ribeirofmatheus","email":"matheus_f.ribeiro@hotmail.com"},{"name":"matheusrdsantos","email":"matheus.r.d.s10@hotmail.com"},{"name":"gabrielnsd","email":"gabrielnsdantas@gmail.com"},{"name":"felipecantoo","email":"felipe@cantoo.fr"},{"name":"nicodemos234","email":"nicodemos54324@gmail.com"}],"readme":"# @cantoo/capacitor-onnx\n\nCapacitor plugin for ONNX Runtime inference on Android, iOS and Web.\n\n## Migration from 1.x to 2.0\n\n`2.0.0` removes the plugin-side model cache. The plugin no longer downloads, validates, or stores model files — it is now a thin wrapper around ONNX Runtime sessions. The host app owns model storage and provides bytes (web) or a filesystem path (native).\n\n### Contract changes\n\n- `LoadModelInput` no longer accepts `url`, `sha256`, `forceRedownload`, or `timeoutMs`. Pass either `filePath` (iOS/Android) **or** `modelBuffer: Uint8Array` (web).\n- `LoadModelResult` no longer includes `status` (`cache_hit` / `downloaded`).\n- Methods `clearModel` and `clearAllCache` have been removed. `release(modelId, version)` still releases the in-memory ORT session.\n- `CapacitorOnnxWeb.setWebConfig` has been removed — configure `wasmPath` (and `multithread`) via `sessionOptions.web` on `loadModel` instead.\n- Error codes `NETWORK_ERROR`, `INTEGRITY_ERROR`, and `MODEL_INTEGRITY_ERROR` are no longer reachable.\n\n### Migration example\n\nBefore:\n\n```ts\nawait CapacitorOnnx.loadModel({\n  modelId: 'demo-model',\n  version: '1.0.0',\n  url: 'https://example.com/model.onnx',\n  sha256: 'abc...',\n});\n```\n\nAfter (native, iOS/Android):\n\n```ts\n// Download/cache the model in your app code, e.g. via @capacitor/filesystem.\n// Then pass the absolute or file:// path to the plugin.\nawait CapacitorOnnx.loadModel({\n  modelId: 'demo-model',\n  version: '1.0.0',\n  filePath: '/data/user/0/com.app/files/models/demo-model-1.0.0.onnx',\n});\n```\n\nAfter (web):\n\n```ts\nconst response = await fetch('https://example.com/model.onnx');\nconst modelBuffer = new Uint8Array(await response.arrayBuffer());\n\nawait CapacitorOnnx.loadModel({\n  modelId: 'demo-model',\n  version: '1.0.0',\n  modelBuffer,\n});\n```\n\nPassing `modelBuffer` on iOS/Android or `filePath` on web rejects with `MODEL_INVALID` — the Capacitor bridge serializes `Uint8Array` inefficiently (base64 / number array), so native callers must always use filesystem paths.\n\n## Install\n\n```bash\npnpm add @cantoo/capacitor-onnx\npnpm cap sync android\npnpm cap sync ios\n```\n\n### Android setup\n\n`pnpm cap sync android` registers the plugin automatically; no manual `MainActivity` edits are required. The host app must satisfy:\n\n- **`minSdk` ≥ 24** (Android 7.0).\n- **`compileSdk` ≥ 34**.\n- **JDK ≥ 17** on the build machine. The plugin targets Java 17 bytecode (`sourceCompatibility` / `targetCompatibility` / `kotlinOptions.jvmTarget = '17'`), so any newer JDK (e.g. 21) also works — 17 is just the floor.\n\nThe `com.microsoft.onnxruntime:onnxruntime-android` dependency is bundled by the plugin's `build.gradle` — you do not need to add it yourself. Tune execution providers and threading through `sessionOptions` (see [docs/android-optimization.md](docs/android-optimization.md)).\n\n### iOS setup\n\niOS supports both **CocoaPods** (default for Capacitor apps) and **Swift Package Manager**.\n\n**CocoaPods (recommended for Capacitor apps).** `pnpm cap sync ios` registers the plugin automatically: the generated `Podfile` picks up `CantooCapacitorOnnx.podspec` from `node_modules/@cantoo/capacitor-onnx`, and `pod install` resolves [`onnxruntime-objc`](https://cocoapods.org/pods/onnxruntime-objc) transitively. No manual Xcode steps are required.\n\n**Swift Package Manager (alternative).** If the host app prefers SPM, skip the Podfile entry and add the plugin as a local package in Xcode (**Package Dependencies → +**, pointing to `node_modules/@cantoo/capacitor-onnx`). Xcode resolves [`onnxruntime-swift-package-manager`](https://github.com/microsoft/onnxruntime-swift-package-manager) transitively. Add the **CapacitorOnnx** product to the **App** target.\n\nRequirements either way:\n- Minimum deployment target: **iOS 14**.\n- The native bridge is registered automatically via `CapacitorOnnxPlugin.m`; no additional Swift code is required.\n\n### Web setup\n\n`onnxruntime-web` requires the page to be served as a **cross-origin isolated** context — without it the multi-threaded WASM backend falls back (or fails) and `SharedArrayBuffer` is unavailable. The host page **must** be served with the following response headers:\n\n```\nCross-Origin-Opener-Policy: same-origin\nCross-Origin-Embedder-Policy: require-corp\n```\n\nPlus, any cross-origin asset the page loads (model files, WASM artifacts, fonts, images) needs `Cross-Origin-Resource-Policy: cross-origin` (or `same-site`) on its response, otherwise it will be blocked under COEP. CDN/Storage hosting your `.onnx` artifacts must also send permissive **CORS** headers (`Access-Control-Allow-Origin`).\n\nThe WASM path (and other web-only runtime tuning) is configured per `loadModel` call via `sessionOptions.web`:\n\n```ts\nawait CapacitorOnnx.loadModel({\n  modelId: 'demo-model',\n  version: '1.0.0',\n  modelBuffer,\n  sessionOptions: {\n    web: {\n      wasmPath: '/ort-wasm/', // base path/URL for the ORT .wasm artifacts\n      multithread: false,     // optional: single-thread + SIMD instead of auto-threading\n      proxy: true,            // optional: run inference in a Web Worker so the UI thread never blocks\n    },\n  },\n});\n```\n\nSymptoms of missing isolation/CORS: `SharedArrayBuffer is not defined`, `NetworkError when fetching .wasm`, or models silently downgrading to single-threaded execution.\n\n## API\n\nThe package exports:\n\n- `CapacitorOnnx`\n- `CapacitorOnnxWeb` (from `@cantoo/capacitor-onnx/web` for non-Capacitor hosts)\n- TypeScript interfaces from `definitions`\n\n### Methods\n\n| Method | Signature | Purpose | Notes |\n| --- | --- | --- | --- |\n| `loadModel` | `(input: LoadModelInput) => Promise<LoadModelResult>` | Creates an ONNX Runtime session from the model bytes (web) or file path (native), and optionally warms it up. Must be called once per `modelId+version` before `run`. | Native: pass `filePath` (absolute path or `file://` URI). Web: pass `modelBuffer: Uint8Array`. Pass `warmupInputs` (a `Record<string, RawTensor>` keyed by model input name) to pay first-inference cost upfront, and `sessionOptions` to pick the execution provider / thread counts. The result includes `executionProviderUsed`. |\n| `run` | `(input: RunInput) => Promise<RunResult>` | Runs inference on a previously loaded session. | Pass `inputs` as a `Record<string, RawTensor>` keyed by the model's ONNX input names. Calls to the same `modelId+version` are serialized by a per-session lock; different models run in parallel. Returns `{ outputs, latencyMs }`, where `outputs` is keyed by the model's output names. Pre/post-processing is the consumer's responsibility. |\n| `release` | `(input: ReleaseModelInput) => Promise<void>` | Releases the in-memory ONNX session for the given `modelId+version`. | Use to free RAM/GPU memory when you are done with a model. The host app is responsible for managing model files on disk. |\n\nType definitions for every input/result (e.g. `LoadModelInput`, `RawTensor`, `SessionOptionsInput`, `PluginError`) live in [src/definitions.ts](src/definitions.ts).\n\n### Example\n\n```ts\nimport { Capacitor } from '@capacitor/core';\nimport { CapacitorOnnx } from '@cantoo/capacitor-onnx';\n\nasync function loadDemoModel() {\n  if (Capacitor.getPlatform() === 'web') {\n    const response = await fetch('https://example.com/model.onnx');\n    const modelBuffer = new Uint8Array(await response.arrayBuffer());\n    await CapacitorOnnx.loadModel({\n      modelId: 'demo-model',\n      version: '1.0.0',\n      modelBuffer,\n    });\n    return;\n  }\n\n  // On iOS/Android, the host app is responsible for downloading\n  // the model to the filesystem (e.g. via @capacitor/filesystem).\n  await CapacitorOnnx.loadModel({\n    modelId: 'demo-model',\n    version: '1.0.0',\n    filePath: '/absolute/path/to/model.onnx',\n  });\n}\n\nawait loadDemoModel();\n\nconst { outputs } = await CapacitorOnnx.run({\n  modelId: 'demo-model',\n  version: '1.0.0',\n  inputs: {\n    input_values: {\n      type: 'float32',\n      dims: [1, 16000],\n      data: [/* normalized audio samples */],\n    },\n    attention_mask: {\n      type: 'int64',\n      dims: [1, 16000],\n      data: [/* 1s for real samples, 0s for padding */],\n    },\n  },\n});\n\nconst logits = outputs.logits;\nconsole.log(logits.dims, logits.data.length);\n\nawait CapacitorOnnx.release({ modelId: 'demo-model', version: '1.0.0' });\n```\n\n## Runtime Notes\n\n- `loadModel` supports optional `warmupInputs: Record<string, RawTensor>` to pre-run the session with sample tensors keyed by model input name (e.g. `{ input_values: { type: 'float32', dims: [1, 16000], data: [...] } }`). Warmup is skipped when `warmupInputs` is omitted.\n- `loadModel` returns `executionProviderUsed` with the provider that was actually initialized.\n- Web provider selection supports `sessionOptions.executionProvider` with `auto`, `wasm`, `webgpu`, `webnn` plus native aliases (`cpu`/`nnapi`/`coreml` mapped to `wasm` in Web).\n- In Web `auto` mode, provider resolution tries accelerated providers first (`webgpu`, `webnn`) and falls back to `wasm`.\n- iOS provider mapping: `cpu` → CPU, `nnapi`/`coreml` → CoreML, `auto` → CoreML with CPU fallback, web providers (`wasm`/`webgpu`/`webnn`) → CPU.\n- `run` takes `inputs` keyed by ONNX input name and returns every model output in `outputs` keyed by ONNX output name. Android accepts `float32`, `int64`, `int32`, `bool`, `uint8`; iOS accepts the same set **except `bool`** (the ONNX Runtime Obj-C API exposes no bool tensor type). `float16`/`uint32` are web-only. Unsupported types are rejected on native with a structured error.\n- **Output shape & dtype**: each `RunResult.outputs` tensor carries the shape and dtype ORT materialized — Web reads `ort.Tensor.dims`/`.type`, Android reads `OnnxTensor.info.shape`/`.type`, iOS reads `tensorTypeAndShapeInfo().shape`/`.elementType`. No heuristic, no symbolic dims (`-1`) in the result.\n- Errors are normalized with structured fields (`code`, `message`, `retryable`, `correlationId`, `details`).\n\n## Model format: default `.onnx` vs reduced `.ort` (Android)\n\nThere are two ways to ship a model, and you pick per app:\n\n### Default — `.onnx` (Android, iOS, Web)\n\nThe standard path used in all the examples above: the plugin bundles the **full**\n`onnxruntime-android` AAR (and `onnxruntime-objc`/`onnxruntime-web` on the other\nplatforms), and you load a plain **`.onnx`** model. Works everywhere, **no extra tooling\nor setup** — just `loadModel`. This is the default; if you do nothing, you get this.\n\n### Reduced ops — `.ort` (Android only, opt-in)\n\nFor Android you can shrink the native runtime by compiling a `libonnxruntime.so` with\n**only your model's operators** (~57–59% smaller on arm64) and loading a pre-optimized\n**`.ort`** model instead of the `.onnx`. An app with several models lists them all and gets\none runtime with the union of their operators. It is **opt-in and Android-only**; iOS/Web keep\nthe default path.\n\n```bash\n# in your app package (depends on @cantoo/capacitor-onnx)\npnpm exec cantoo-onnx-reduce      # or: npx cantoo-onnx-reduce\n```\n\nThe **first** build (the \"generator\") needs a toolchain (Python ≥3.10 + `onnxruntime`/`onnx`,\nAndroid NDK, CMake/Ninja, JDK 21; bash — on Windows use WSL2) and a small amount of app-side\nwiring (load the `.ort`, whose filename must end in `.ort`). Once the generator publishes the\nop-config, `.ort` and AAR (via the `onnx*UploadUrl` keys), **other devs/CI need none of that\ntoolchain** — with `onnxConfigUrl` + `onnxCacheUrl` set, their build just downloads the\nop-config and the prebuilt AAR (no Python, no NDK, no model download). It stays fully opt-out —\nclearing `onnxModel` reverts to the full AAR + `.onnx`.\n\n**Full guide:** [docs/reduced-onnx.md](docs/reduced-onnx.md).\n\n## Docs\n\n- Reduced ONNX Runtime build (smaller Android binary): [docs/reduced-onnx.md](docs/reduced-onnx.md)\n- Android optimization & execution providers: [docs/android-optimization.md](docs/android-optimization.md)\n- Testing scripts and validation flow: [docs/testing-scripts.md](docs/testing-scripts.md)\n\n## License\n\nMIT\n","readmeFilename":"README.md"}