diff --git a/demo-ng/app/app.css b/demo-ng/app/app.css
index 98b2ddc4..53f5821b 100644
--- a/demo-ng/app/app.css
+++ b/demo-ng/app/app.css
@@ -75,15 +75,6 @@ button {
   background-color: #1832d5;
 }
 
-.mlKitCamera {
-  /*border-radius: 20;*/
-  /*border-width: 8;*/
-  /*border-color: #ddd;*/
-  width: 280;
-  height: 280;
-  margin-top: 16;
-}
-
 Label.mlkit-result {
   margin: 5;
   text-align: left;
diff --git a/demo-ng/app/tabs/mlkit/barcodescanning/barcodescanning.component.html b/demo-ng/app/tabs/mlkit/barcodescanning/barcodescanning.component.html
index 126ef96b..a05bae6b 100644
--- a/demo-ng/app/tabs/mlkit/barcodescanning/barcodescanning.component.html
+++ b/demo-ng/app/tabs/mlkit/barcodescanning/barcodescanning.component.html
@@ -8,7 +8,7 @@
 
   <MLKitBarcodeScanner
       row="1"
-      width="300"
+      width="260"
       height="340"
       formats="QR_CODE, EAN_8, EAN_13"
       processEveryNthFrame="5"
diff --git a/demo-ng/app/tabs/mlkit/barcodescanning/barcodescanning.component.ts b/demo-ng/app/tabs/mlkit/barcodescanning/barcodescanning.component.ts
index 83a6c00c..8667507a 100644
--- a/demo-ng/app/tabs/mlkit/barcodescanning/barcodescanning.component.ts
+++ b/demo-ng/app/tabs/mlkit/barcodescanning/barcodescanning.component.ts
@@ -1,5 +1,5 @@
 import { Component } from "@angular/core";
-import { MLKitScanBarcodesResult } from "nativescript-plugin-firebase/mlkit/barcodescanning";
+import { MLKitScanBarcodesOnDeviceResult } from "nativescript-plugin-firebase/mlkit/barcodescanning";
 
 @Component({
   selector: "mlkit-barcodescanning",
@@ -13,8 +13,7 @@ export class BarcodeScanningComponent {
   }>;
 
   onBarcodeScanResult(event): void {
-    const result: MLKitScanBarcodesResult = event.value;
+    const result: MLKitScanBarcodesOnDeviceResult = event.value;
     this.barcodes = result.barcodes;
-    console.log(">>> onBarcodeScanResult, this.barcodes: " + JSON.stringify(this.barcodes));
   }
 }
diff --git a/demo-ng/app/tabs/mlkit/facedetection/facedetection.component.html b/demo-ng/app/tabs/mlkit/facedetection/facedetection.component.html
index f8562271..3f1e7f3e 100644
--- a/demo-ng/app/tabs/mlkit/facedetection/facedetection.component.html
+++ b/demo-ng/app/tabs/mlkit/facedetection/facedetection.component.html
@@ -8,7 +8,7 @@
 
   <MLKitFaceDetection
       row="1"
-      width="300"
+      width="260"
       height="340"
       processEveryNthFrame="30"
       (scanResult)="onFaceDetectionResult($event)">
@@ -25,9 +25,9 @@
   <ListView row="4" [items]="faces">
     <ng-template let-item="item">
       <GridLayout columns="*, *, *">
-        <Label col="0" class="mlkit-result" textWrap="true" [text]="item.smilingProbability | number"></Label>
-        <Label col="1" class="mlkit-result" textWrap="true" [text]="item.leftEyeOpenProbability | number"></Label>
-        <Label col="2" class="mlkit-result" textWrap="true" [text]="item.rightEyeOpenProbability | number"></Label>
+        <Label col="0" class="mlkit-result" [class.c-purple]="item.smilingProbability > 0.7" [text]="item.smilingProbability | number" textWrap="true"></Label>
+        <Label col="1" class="mlkit-result" [class.c-purple]="item.leftEyeOpenProbability > 0.7" [text]="item.leftEyeOpenProbability | number" textWrap="true"></Label>
+        <Label col="2" class="mlkit-result" [class.c-purple]="item.rightEyeOpenProbability > 0.7" [text]="item.rightEyeOpenProbability | number" textWrap="true"></Label>
       </GridLayout>
     </ng-template>
   </ListView>
diff --git a/demo-ng/app/tabs/mlkit/facedetection/facedetection.component.ts b/demo-ng/app/tabs/mlkit/facedetection/facedetection.component.ts
index 5f7fb428..31b9fcc7 100644
--- a/demo-ng/app/tabs/mlkit/facedetection/facedetection.component.ts
+++ b/demo-ng/app/tabs/mlkit/facedetection/facedetection.component.ts
@@ -1,6 +1,5 @@
 import { Component } from "@angular/core";
-import { MLKitDetectFacesResult } from "nativescript-plugin-firebase/mlkit/facedetection";
-import { ImageSource } from "tns-core-modules/image-source";
+import { MLKitDetectFacesOnDeviceResult } from "nativescript-plugin-firebase/mlkit/facedetection";
 
 @Component({
   selector: "mlkit-facedetection",
@@ -18,7 +17,7 @@ export class FaceDetectionComponent {
   mlKitAllOK: string;
 
   onFaceDetectionResult(scanResult: any): any {
-    const value: MLKitDetectFacesResult = scanResult.value;
+    const value: MLKitDetectFacesOnDeviceResult = scanResult.value;
     if (value.faces.length > 0) {
       this.faces = value.faces;
 
diff --git a/demo-ng/app/tabs/mlkit/imagelabeling/imagelabeling.component.html b/demo-ng/app/tabs/mlkit/imagelabeling/imagelabeling.component.html
index 2244a91c..48edefb3 100644
--- a/demo-ng/app/tabs/mlkit/imagelabeling/imagelabeling.component.html
+++ b/demo-ng/app/tabs/mlkit/imagelabeling/imagelabeling.component.html
@@ -6,7 +6,7 @@
 
   <MLKitImageLabeling
       row="0"
-      width="300"
+      width="260"
       height="340"
       (scanResult)="onImageLabeledResult($event)">
   </MLKitImageLabeling>
diff --git a/demo-ng/app/tabs/mlkit/imagelabeling/imagelabeling.component.ts b/demo-ng/app/tabs/mlkit/imagelabeling/imagelabeling.component.ts
index 8e1d508c..e441ee12 100644
--- a/demo-ng/app/tabs/mlkit/imagelabeling/imagelabeling.component.ts
+++ b/demo-ng/app/tabs/mlkit/imagelabeling/imagelabeling.component.ts
@@ -1,5 +1,5 @@
 import { Component } from "@angular/core";
-import { MLKitImageLabelingResult } from "nativescript-plugin-firebase/mlkit/imagelabeling";
+import { MLKitImageLabelingOnDeviceResult } from "nativescript-plugin-firebase/mlkit/imagelabeling";
 
 @Component({
   selector: "mlkit-imagelabeling",
@@ -13,7 +13,7 @@ export class ImageLabelingComponent {
   }>;
 
   onImageLabeledResult(scanResult: any): void {
-    const value: MLKitImageLabelingResult = scanResult.value;
+    const value: MLKitImageLabelingOnDeviceResult = scanResult.value;
     this.labels = value.labels;
   }
 }
diff --git a/demo-ng/app/tabs/mlkit/mlkit.component.html b/demo-ng/app/tabs/mlkit/mlkit.component.html
index 6415a831..d83dba9d 100644
--- a/demo-ng/app/tabs/mlkit/mlkit.component.html
+++ b/demo-ng/app/tabs/mlkit/mlkit.component.html
@@ -4,7 +4,10 @@
 
   <StackLayout row="1" orientation="horizontal" horizontalAlignment="center">
     <Button text="Cameraroll" (tap)="fromCameraroll()" class="button"></Button>
-    <Button text="Cam picture" (tap)="fromCameraPicture()" class="button"></Button>
+    <!-- the image may require rotation on Android, and permission may be required - not feeling like exposing this for now -->
+    <iOS>
+      <Button text="Cam picture" (tap)="fromCameraPicture()" class="button"></Button>
+    </iOS>
     <Button text="Cam feed" (tap)="fromCameraFeed()" class="button"></Button>
   </StackLayout>
 
diff --git a/demo-ng/app/tabs/mlkit/mlkit.component.ts b/demo-ng/app/tabs/mlkit/mlkit.component.ts
index 436fca54..40f608ea 100644
--- a/demo-ng/app/tabs/mlkit/mlkit.component.ts
+++ b/demo-ng/app/tabs/mlkit/mlkit.component.ts
@@ -1,17 +1,22 @@
 import { Component, NgZone } from "@angular/core";
+import { RouterExtensions } from "nativescript-angular";
 import { ImageSource } from "tns-core-modules/image-source";
-
-import { BarcodeFormat, MLKitScanBarcodesResult } from "nativescript-plugin-firebase/mlkit/barcodescanning";
-import { MLKitRecognizeTextLocalResult, MLKitRecognizeTextCloudResult } from "nativescript-plugin-firebase/mlkit/textrecognition";
-import { MLKitLandmarkRecognitionCloudResult } from "nativescript-plugin-firebase/mlkit/landmarkrecognition";
-import { MLKitDetectFacesResult } from "nativescript-plugin-firebase/mlkit/facedetection";
 import { action } from "tns-core-modules/ui/dialogs";
 import { ImageAsset } from "tns-core-modules/image-asset";
+import { isIOS } from "tns-core-modules/platform";
 import * as ImagePicker from "nativescript-imagepicker";
 import * as Camera from "nativescript-camera";
-import { RouterExtensions } from "nativescript-angular";
-import { isIOS } from "tns-core-modules/platform";
-import { MLKitImageLabelingResult } from "nativescript-plugin-firebase/mlkit/imagelabeling";
+import { BarcodeFormat, MLKitScanBarcodesOnDeviceResult } from "nativescript-plugin-firebase/mlkit/barcodescanning";
+import { MLKitLandmarkRecognitionCloudResult } from "nativescript-plugin-firebase/mlkit/landmarkrecognition";
+import { MLKitDetectFacesOnDeviceResult } from "nativescript-plugin-firebase/mlkit/facedetection";
+import {
+  MLKitRecognizeTextCloudResult,
+  MLKitRecognizeTextOnDeviceResult
+} from "nativescript-plugin-firebase/mlkit/textrecognition";
+import {
+  MLKitImageLabelingCloudResult,
+  MLKitImageLabelingOnDeviceResult
+} from "nativescript-plugin-firebase/mlkit/imagelabeling";
 
 const firebase = require("nativescript-plugin-firebase");
 
@@ -25,15 +30,16 @@ export class MLKitComponent {
   pickedImage: ImageSource;
 
   private mlkitFeatures: Array<string> = [
-    "Text recognition (local)",
+    "Text recognition (on device)",
     "Text recognition (cloud)",
-    "Barcode scanning",
-    "Face detection",
-    "Image labeling",
+    "Barcode scanning (on device)",
+    "Face detection (on device)",
+    "Image labeling (on device)",
+    "Image labeling (cloud)",
     "Landmark recognition (cloud)"
   ];
 
-  private mlkitLocalFeatures: Array<string> = [
+  private mlkitOnDeviceFeatures: Array<string> = [
     "Text recognition",
     "Barcode scanning",
     "Face detection",
@@ -46,9 +52,9 @@ export class MLKitComponent {
 
   fromCameraFeed(): void {
     action(
-        "Test which ML Kit feature? No cloud processing will be used.",
+        "Test which on-device ML Kit feature?",
         "Cancel",
-        this.mlkitLocalFeatures
+        this.mlkitOnDeviceFeatures
     ).then((pickedItem: string) => {
       let to;
       if (pickedItem === "Text recognition") {
@@ -83,7 +89,7 @@ export class MLKitComponent {
       width: 800,
       height: 800,
       keepAspectRatio: true,
-      saveToGallery: true,
+      saveToGallery: false,
       cameraFacing: "rear"
     }).then(imageAsset => {
       new ImageSource().fromAsset(imageAsset).then(imageSource => {
@@ -147,34 +153,34 @@ export class MLKitComponent {
         this.mlkitFeatures
     ).then((pickedItem: string) => {
       let pickedItemIndex = this.mlkitFeatures.indexOf(pickedItem);
-      if (pickedItem === "Text recognition (local)") {
-        this.recognizeTextLocal(imageSource);
+      if (pickedItem === "Text recognition (on device)") {
+        this.recognizeTextOnDevice(imageSource);
       } else if (pickedItem === "Text recognition (cloud)") {
         this.recognizeTextCloud(imageSource);
-      } else if (pickedItem === "Barcode scanning") {
-        this.scanBarcode(imageSource);
-      } else if (pickedItem === "Face detection") {
-        this.detectFaces(imageSource);
-      } else if (pickedItem === "Image labeling") {
-        this.labelImage(imageSource);
+      } else if (pickedItem === "Barcode scanning (on device)") {
+        this.scanBarcodeOnDevice(imageSource);
+      } else if (pickedItem === "Face detection (on device)") {
+        this.detectFacesOnDevice(imageSource);
+      } else if (pickedItem === "Image labeling (on device)") {
+        this.labelImageOnDevice(imageSource);
+      } else if (pickedItem === "Image labeling (cloud)") {
+        this.labelImageCloud(imageSource);
       } else if (pickedItem === "Landmark recognition (cloud)") {
         this.recognizeLandmarkCloud(imageSource);
       }
     });
   }
 
-  private recognizeTextLocal(imageSource: ImageSource): void {
-    firebase.mlkit.textrecognition.recognizeTextLocal({
+  private recognizeTextOnDevice(imageSource: ImageSource): void {
+    firebase.mlkit.textrecognition.recognizeTextOnDevice({
       image: imageSource
-    }).then(
-        (result: MLKitRecognizeTextLocalResult) => {
-          alert({
-            title: `Result`,
-            message: result.features.map(feature => feature.text).join(""),
-            okButtonText: "OK"
-          });
-        })
-        .catch(errorMessage => console.log("ML Kit error: " + errorMessage));
+    }).then((result: MLKitRecognizeTextOnDeviceResult) => {
+      alert({
+        title: `Result`,
+        message: result.features.map(feature => feature.text).join(""),
+        okButtonText: "OK"
+      });
+    }).catch(errorMessage => console.log("ML Kit error: " + errorMessage));
   }
 
   private recognizeTextCloud(imageSource: ImageSource): void {
@@ -207,12 +213,13 @@ export class MLKitComponent {
         .catch(errorMessage => console.log("ML Kit error: " + errorMessage));
   }
 
-  private scanBarcode(imageSource: ImageSource): void {
-    firebase.mlkit.barcodescanning.scanBarcodes({
+  private scanBarcodeOnDevice(imageSource: ImageSource): void {
+    console.log(">>> imageSource.rotationAngle: " + imageSource.rotationAngle);
+    firebase.mlkit.barcodescanning.scanBarcodesOnDevice({
       image: imageSource,
       formats: [BarcodeFormat.QR_CODE, BarcodeFormat.EAN_13]
     }).then(
-        (result: MLKitScanBarcodesResult) => {
+        (result: MLKitScanBarcodesOnDeviceResult) => {
           alert({
             title: `Result`,
             message: JSON.stringify(result.barcodes),
@@ -222,11 +229,11 @@ export class MLKitComponent {
         .catch(errorMessage => console.log("ML Kit error: " + errorMessage));
   }
 
-  private detectFaces(imageSource: ImageSource): void {
-    firebase.mlkit.facedetection.detectFaces({
+  private detectFacesOnDevice(imageSource: ImageSource): void {
+    firebase.mlkit.facedetection.detectFacesOnDevice({
       image: imageSource
     }).then(
-        (result: MLKitDetectFacesResult) => {
+        (result: MLKitDetectFacesOnDeviceResult) => {
           alert({
             title: `Result`,
             message: JSON.stringify(result.faces),
@@ -236,12 +243,27 @@ export class MLKitComponent {
         .catch(errorMessage => console.log("ML Kit error: " + errorMessage));
   }
 
-  private labelImage(imageSource: ImageSource): void {
-    firebase.mlkit.imagelabeling.labelImage({
+  private labelImageOnDevice(imageSource: ImageSource): void {
+    firebase.mlkit.imagelabeling.labelImageOnDevice({
+      image: imageSource,
+      confidenceThreshold: 0.3
+    }).then(
+        (result: MLKitImageLabelingOnDeviceResult) => {
+          alert({
+            title: `Result`,
+            message: JSON.stringify(result.labels),
+            okButtonText: "OK"
+          });
+        })
+        .catch(errorMessage => console.log("ML Kit error: " + errorMessage));
+  }
+
+  private labelImageCloud(imageSource: ImageSource): void {
+    firebase.mlkit.imagelabeling.labelImageCloud({
       image: imageSource,
       confidenceThreshold: 0.3
     }).then(
-        (result: MLKitImageLabelingResult) => {
+        (result: MLKitImageLabelingCloudResult) => {
           alert({
             title: `Result`,
             message: JSON.stringify(result.labels),
diff --git a/demo-ng/app/tabs/mlkit/textrecognition/textrecognition.component.html b/demo-ng/app/tabs/mlkit/textrecognition/textrecognition.component.html
index bc7ec233..df4d241f 100644
--- a/demo-ng/app/tabs/mlkit/textrecognition/textrecognition.component.html
+++ b/demo-ng/app/tabs/mlkit/textrecognition/textrecognition.component.html
@@ -6,7 +6,7 @@
 
   <MLKitTextRecognition
       row="0"
-      width="300"
+      width="260"
       height="340"
       (scanResult)="onTextRecognitionResult($event)">
   </MLKitTextRecognition>
diff --git a/demo-ng/app/tabs/mlkit/textrecognition/textrecognition.component.ts b/demo-ng/app/tabs/mlkit/textrecognition/textrecognition.component.ts
index c42bd308..ab96a5f9 100644
--- a/demo-ng/app/tabs/mlkit/textrecognition/textrecognition.component.ts
+++ b/demo-ng/app/tabs/mlkit/textrecognition/textrecognition.component.ts
@@ -1,5 +1,5 @@
 import { Component } from "@angular/core";
-import { MLKitRecognizeTextLocalResult } from "nativescript-plugin-firebase/mlkit/textrecognition";
+import { MLKitRecognizeTextOnDeviceResult } from "nativescript-plugin-firebase/mlkit/textrecognition";
 
 @Component({
   selector: "mlkit-textrecognition",
@@ -12,7 +12,7 @@ export class TextRecognitionComponent {
   }>;
 
   onTextRecognitionResult(scanResult: any): void {
-    const value: MLKitRecognizeTextLocalResult = scanResult.value;
+    const value: MLKitRecognizeTextOnDeviceResult = scanResult.value;
     this.features = value.features;
   }
 }
diff --git a/docs/ML_KIT.md b/docs/ML_KIT.md
index f2cc7b8f..65ce38c2 100644
--- a/docs/ML_KIT.md
+++ b/docs/ML_KIT.md
@@ -3,5 +3,102 @@ Just dumping a few things I should not forget to add to the doc:
 - see step 3 @ https://firebase.google.com/docs/ml-kit/android/recognize-text
 - For Cloud processing, enable the Vision API and upgrade your Firebase project to "Blaze" (pay as you go)
 
-Known issues:
-- Detecting faces from still images doesn't currently work on iOS (detection from the camera stream works though)
+
+<img src="https://raw.githubusercontent.com/EddyVerbruggen/nativescript-plugin-firebase/master/docs/images/features/mlkit.png" height="84px" alt="ML Kit"/>
+
+Make sure to check out [this demo app](https://github.com/EddyVerbruggen/nativescript-plugin-firebase/tree/master/demo-ng) because it has almost all ML Kit features this plugin currently supports! Steps:
+
+```bash
+git clone https://github.com/EddyVerbruggen/nativescript-plugin-firebase
+cd nativescript-plugin-firebase/src
+npm i
+npm run demo-ng.ios (or .android)
+```
+
+## Enabling ML Kit
+During plugin installation you'll be asked whether or not you use ML Kit and which of its features.
+
+In case you're upgrading and you have the `firebase.nativescript.json` file in your project root, it's safest to rename it (so you can see what your old configuration was),
+then clean your platforms folder (`rm -rf platforms`) and build your app again. You will be prompted which Firebase features you'll want to use.
+
+## ML Kit Features
+There are two ways of using ML Kit: On-device or in the cloud. Depending on the 
+
+- *On-device*. These features have been enhanced to not only interpret still images, but you can also run ML against a live camera feed. Why? Because it's fr***ing cool! 
+- *Cloud*. The cloud has much larger and always up to date models, so results will be more accurate. Since this is a remote service reconition speed depends heavily on the size of the images you send to the cloud.
+
+
+### Cloud configuration
+To nbe able to use Cloud features you need to do two things:
+
+1) Enable the Cloud Vision API:
+
+- Open the [Cloud Vision API](https://console.cloud.google.com/apis/library/vision.googleapis.com/) in the Cloud Console API library.
+- Ensure that your Firebase project is selected in the menu at the top of the page.
+- If the API is not already enabled, click _Enable_.
+
+2) Upgrade to a Blaze plan.
+
+- Open the [Firebase console](https://console.firebase.google.com/).
+- Select your project.
+- In the bottom left, make sure you're on the _Blaze_ plan, or hit the 'Upgrade' button.
+
+### Feature table
+
+|Feature|On-device|Cloud
+|---|---|---
+|[Text recognition](#text-recognition)|✅|✅
+|[Face detection](face-detection)|✅*|
+|[Barcode scanning](barcode-scanning)|✅|
+|[Image labeling](image-labeling)|✅|✅
+|[Landmark recognition](landmark-recognition)||✅
+|[Custom model inference](custom-model-inference)|✅|
+
+*) _Currently detecting faces from still images doesn't work on iOS (detection from the camera stream works fine though)._
+
+### [Text recognition](https://firebase.google.com/docs/ml-kit/recognize-text)
+<img src="https://raw.githubusercontent.com/EddyVerbruggen/nativescript-plugin-firebase/master/docs/images/features/mlkit_text_recognition.png" height="153px" alt="ML Kit - Text recognition"/>
+
+#### Still image (on-device)
+
+```typescript
+import { MLKitRecognizeTextOnDeviceResult } from "nativescript-plugin-firebase/mlkit/textrecognition";
+const firebase = require("nativescript-plugin-firebase");
+
+firebase.mlkit.textrecognition.recognizeTextOnDevice({
+  image: imageSource // a NativeScript Image or ImageSource, see the demo for examples
+}).then((result: MLKitRecognizeTextOnDeviceResult) => { // just look at this type to see what else is returned
+  console.log(result.features.map(feature => feature.text).join(""));
+}).catch(errorMessage => console.log("ML Kit error: " + errorMessage));
+```
+
+#### Still image (cloud)
+
+```typescript
+import { MLKitRecognizeTextCloudResult } from "nativescript-plugin-firebase/mlkit/textrecognition";
+const firebase = require("nativescript-plugin-firebase");
+
+firebase.mlkit.textrecognition.recognizeTextOnDevice({
+  image: imageSource,  // a NativeScript Image or ImageSource, see the demo for examples
+  modelType: "latest", // either "latest" or "stable" (default "stable")
+  maxResults: 15       // default 10
+}).then((result: MLKitRecognizeTextCloudResult) => {
+  console.log(result.text);
+}).catch(errorMessage => console.log("ML Kit error: " + errorMessage));
+```
+#### Live camera feed
+
+### [Face detection](https://firebase.google.com/docs/ml-kit/detect-faces)
+<img src="https://raw.githubusercontent.com/EddyVerbruggen/nativescript-plugin-firebase/master/docs/images/features/mlkit_face_detection.png" height="153px" alt="ML Kit - Face detection"/>
+
+### [Barcode scanning](https://firebase.google.com/docs/ml-kit/read-barcodes)
+<img src="https://raw.githubusercontent.com/EddyVerbruggen/nativescript-plugin-firebase/master/docs/images/features/mlkit_text_barcode_scanning.png" height="153px" alt="ML Kit - Barcode scanning"/>
+
+### [Image labeling](https://firebase.google.com/docs/ml-kit/label-images)
+<img src="https://raw.githubusercontent.com/EddyVerbruggen/nativescript-plugin-firebase/master/docs/images/features/mlkit_text_image_labeling.png" height="153px" alt="ML Kit - Image labeling"/>
+
+### [Landmark recognition](https://firebase.google.com/docs/ml-kit/recognize-landmarks)
+<img src="https://raw.githubusercontent.com/EddyVerbruggen/nativescript-plugin-firebase/master/docs/images/features/mlkit_text_landmark_recognition.png" height="153px" alt="ML Kit - Landmark recognition"/>
+
+### [Custom model inference](https://firebase.google.com/docs/ml-kit/use-custom-models)
+Coming soon
diff --git a/docs/images/features/mlkit.png b/docs/images/features/mlkit.png
new file mode 100644
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diff --git a/docs/images/features/mlkit_face_detection.png b/docs/images/features/mlkit_face_detection.png
new file mode 100644
index 00000000..350e0d87
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diff --git a/docs/images/features/mlkit_text_barcode_scanning.png b/docs/images/features/mlkit_text_barcode_scanning.png
new file mode 100644
index 00000000..8ab45215
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diff --git a/docs/images/features/mlkit_text_image_labeling.png b/docs/images/features/mlkit_text_image_labeling.png
new file mode 100644
index 00000000..3139eec7
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diff --git a/docs/images/features/mlkit_text_landmark_recognition.png b/docs/images/features/mlkit_text_landmark_recognition.png
new file mode 100644
index 00000000..7ca3bcb9
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diff --git a/docs/images/features/mlkit_text_recognition.png b/docs/images/features/mlkit_text_recognition.png
new file mode 100644
index 00000000..46d7f2fa
Binary files /dev/null and b/docs/images/features/mlkit_text_recognition.png differ
diff --git a/src/mlkit/barcodescanning/index.android.ts b/src/mlkit/barcodescanning/index.android.ts
index 8ab25948..a59399f5 100644
--- a/src/mlkit/barcodescanning/index.android.ts
+++ b/src/mlkit/barcodescanning/index.android.ts
@@ -1,5 +1,5 @@
 import { ImageSource } from "tns-core-modules/image-source";
-import { MLKitScanBarcodesOptions, MLKitScanBarcodesResult } from "./";
+import { MLKitScanBarcodesOnDeviceOptions, MLKitScanBarcodesOnDeviceResult } from "./";
 import { MLKitOptions } from "../index";
 import { BarcodeFormat, MLKitBarcodeScanner as MLKitBarcodeScannerBase } from "./barcodescanning-common";
 
@@ -28,7 +28,7 @@ export class MLKitBarcodeScanner extends MLKitBarcodeScannerBase {
         // const imageSource = new ImageSource();
         // imageSource.setNativeSource(this.lastVisionImage.getBitmapForDebugging());
 
-        const result = <MLKitScanBarcodesResult>{
+        const result = <MLKitScanBarcodesOnDeviceResult>{
           // imageSource: imageSource,
           barcodes: []
         };
@@ -64,14 +64,14 @@ function getBarcodeDetector(formats?: Array<BarcodeFormat>): any {
   }
 }
 
-export function scanBarcodes(options: MLKitScanBarcodesOptions): Promise<MLKitScanBarcodesResult> {
+export function scanBarcodesOnDevice(options: MLKitScanBarcodesOnDeviceOptions): Promise<MLKitScanBarcodesOnDeviceResult> {
   return new Promise((resolve, reject) => {
     try {
       const firebaseVisionBarcodeDetector = getBarcodeDetector(options.formats);
 
       const onSuccessListener = new com.google.android.gms.tasks.OnSuccessListener({
-        onSuccess: (barcodes) => {
-          const result = <MLKitScanBarcodesResult>{
+        onSuccess: barcodes => {
+          const result = <MLKitScanBarcodesOnDeviceResult>{
             barcodes: []
           };
 
@@ -99,13 +99,12 @@ export function scanBarcodes(options: MLKitScanBarcodesOptions): Promise<MLKitSc
           .addOnFailureListener(onFailureListener);
 
     } catch (ex) {
-      console.log("Error in firebase.mlkit.scanBarcodes: " + ex);
+      console.log("Error in firebase.mlkit.scanBarcodesOnDevice: " + ex);
       reject(ex);
     }
   });
 }
 
-// TODO move
 function getImage(options: MLKitOptions): any /* com.google.firebase.ml.vision.common.FirebaseVisionImage */ {
   const image: android.graphics.Bitmap = options.image instanceof ImageSource ? options.image.android : options.image.imageSource.android;
   return com.google.firebase.ml.vision.common.FirebaseVisionImage.fromBitmap(image);
diff --git a/src/mlkit/barcodescanning/index.d.ts b/src/mlkit/barcodescanning/index.d.ts
index 0417dc53..830c5071 100644
--- a/src/mlkit/barcodescanning/index.d.ts
+++ b/src/mlkit/barcodescanning/index.d.ts
@@ -4,14 +4,14 @@ import { MLKitResult, MLKitCameraView } from "../index";
 
 export { BarcodeFormat };
 
-export interface MLKitScanBarcodesResult extends MLKitResult {
+export interface MLKitScanBarcodesOnDeviceResult extends MLKitResult {
   barcodes: Array<{
     value: string;
     format: string;
   }>;
 }
 
-export interface MLKitScanBarcodesOptions extends MLKitOptions {
+export interface MLKitScanBarcodesOnDeviceOptions extends MLKitOptions {
   /**
    * Limit to only what you need to speed up processing.
    * If not set, we'll detect all supported formats.
@@ -19,6 +19,6 @@ export interface MLKitScanBarcodesOptions extends MLKitOptions {
   formats?: Array<BarcodeFormat>;
 }
 
-export declare function scanBarcodes(options: MLKitScanBarcodesOptions): Promise<MLKitScanBarcodesResult>;
+export declare function scanBarcodesOnDevice(options: MLKitScanBarcodesOnDeviceOptions): Promise<MLKitScanBarcodesOnDeviceResult>;
 
 export declare class MLKitBarcodeScanner extends MLKitCameraView {}
diff --git a/src/mlkit/barcodescanning/index.ios.ts b/src/mlkit/barcodescanning/index.ios.ts
index bdd645e0..a14d11d7 100644
--- a/src/mlkit/barcodescanning/index.ios.ts
+++ b/src/mlkit/barcodescanning/index.ios.ts
@@ -1,11 +1,12 @@
 import { ImageSource } from "tns-core-modules/image-source";
-import { MLKitScanBarcodesOptions, MLKitScanBarcodesResult } from "./index";
+import { MLKitScanBarcodesOnDeviceOptions, MLKitScanBarcodesOnDeviceResult } from "./index";
 import { MLKitOptions } from "../index";
 import { BarcodeFormat, MLKitBarcodeScanner as MLKitBarcodeScannerBase } from "./barcodescanning-common";
 
 export { BarcodeFormat };
 
 export class MLKitBarcodeScanner extends MLKitBarcodeScannerBase {
+
   protected createDetector(): any {
     let formats: Array<BarcodeFormat>;
     if (this.formats) {
@@ -22,7 +23,7 @@ export class MLKitBarcodeScanner extends MLKitBarcodeScannerBase {
         console.log(error.localizedDescription);
 
       } else if (barcodes !== null && barcodes.count > 0) {
-        const result = <MLKitScanBarcodesResult>{
+        const result = <MLKitScanBarcodesOnDeviceResult>{
           barcodes: []
         };
 
@@ -58,7 +59,7 @@ function getBarcodeDetector(formats?: Array<BarcodeFormat>): any {
   }
 }
 
-export function scanBarcodes(options: MLKitScanBarcodesOptions): Promise<MLKitScanBarcodesResult> {
+export function scanBarcodesOnDevice(options: MLKitScanBarcodesOnDeviceOptions): Promise<MLKitScanBarcodesOnDeviceResult> {
   return new Promise((resolve, reject) => {
     try {
       const barcodeDetector = getBarcodeDetector(options.formats);
@@ -68,7 +69,7 @@ export function scanBarcodes(options: MLKitScanBarcodesOptions): Promise<MLKitSc
           reject(error.localizedDescription);
 
         } else if (barcodes !== null) {
-          const result = <MLKitScanBarcodesResult>{
+          const result = <MLKitScanBarcodesOnDeviceResult>{
             barcodes: []
           };
 
@@ -83,7 +84,7 @@ export function scanBarcodes(options: MLKitScanBarcodesOptions): Promise<MLKitSc
         }
       });
     } catch (ex) {
-      console.log("Error in firebase.mlkit.scanBarcodes: " + ex);
+      console.log("Error in firebase.mlkit.scanBarcodesOnDevice: " + ex);
       reject(ex);
     }
   });
diff --git a/src/mlkit/facedetection/index.android.ts b/src/mlkit/facedetection/index.android.ts
index 2b29fbaf..c50c4f24 100644
--- a/src/mlkit/facedetection/index.android.ts
+++ b/src/mlkit/facedetection/index.android.ts
@@ -1,5 +1,5 @@
 import { ImageSource } from "tns-core-modules/image-source";
-import { MLKitDetectFacesOptions, MLKitDetectFacesResult } from "./";
+import { MLKitDetectFacesOnDeviceOptions, MLKitDetectFacesOnDeviceResult } from "./";
 import { MLKitOptions } from "../index";
 import { MLKitFaceDetection as MLKitFaceDetectionBase } from "./facedetection-common";
 
@@ -20,7 +20,7 @@ export class MLKitFaceDetection extends MLKitFaceDetectionBase {
         // const imageSource = new ImageSource();
         // imageSource.setNativeSource(this.lastVisionImage.getBitmapForDebugging());
 
-        const result = <MLKitDetectFacesResult>{
+        const result = <MLKitDetectFacesOnDeviceResult>{
           // imageSource: imageSource,
           faces: []
         };
@@ -58,7 +58,7 @@ function getFaceDetector(): any {
   return com.google.firebase.ml.vision.FirebaseVision.getInstance().getVisionFaceDetector(faceDetectorOptions);
 }
 
-export function detectFaces(options: MLKitDetectFacesOptions): Promise<MLKitDetectFacesResult> {
+export function detectFacesOnDevice(options: MLKitDetectFacesOnDeviceOptions): Promise<MLKitDetectFacesOnDeviceResult> {
   return new Promise((resolve, reject) => {
     try {
       const firebaseVisionFaceDetector = getFaceDetector();
@@ -66,7 +66,7 @@ export function detectFaces(options: MLKitDetectFacesOptions): Promise<MLKitDete
       const onSuccessListener = new com.google.android.gms.tasks.OnSuccessListener({
         onSuccess: (faces) => {
 
-          const result = <MLKitDetectFacesResult>{
+          const result = <MLKitDetectFacesOnDeviceResult>{
             faces: []
           };
 
@@ -95,7 +95,7 @@ export function detectFaces(options: MLKitDetectFacesOptions): Promise<MLKitDete
           .addOnFailureListener(onFailureListener);
 
     } catch (ex) {
-      console.log("Error in firebase.mlkit.detectFaces: " + ex);
+      console.log("Error in firebase.mlkit.detectFacesOnDevice: " + ex);
       reject(ex);
     }
   });
diff --git a/src/mlkit/facedetection/index.d.ts b/src/mlkit/facedetection/index.d.ts
index 09689b62..40ca8f6a 100644
--- a/src/mlkit/facedetection/index.d.ts
+++ b/src/mlkit/facedetection/index.d.ts
@@ -1,7 +1,7 @@
 import { MLKitOptions } from "../";
 import { MLKitCameraView, MLKitResult } from "../index";
 
-export interface MLKitDetectFacesResult extends MLKitResult {
+export interface MLKitDetectFacesOnDeviceResult extends MLKitResult {
   // TODO there are more properties we can return, see https://firebase.google.com/docs/ml-kit/android/detect-faces
   faces: Array<{
     smilingProbability?: number;
@@ -10,10 +10,10 @@ export interface MLKitDetectFacesResult extends MLKitResult {
   }>;
 }
 
-export interface MLKitDetectFacesOptions extends MLKitOptions {
+export interface MLKitDetectFacesOnDeviceOptions extends MLKitOptions {
   // TODO there are a few options here
 }
 
-export declare function detectFaces(options: MLKitDetectFacesOptions): Promise<MLKitDetectFacesResult>;
+export declare function detectFacesOnDevice(options: MLKitDetectFacesOnDeviceOptions): Promise<MLKitDetectFacesOnDeviceResult>;
 
 export declare class MLKitFaceDetection extends MLKitCameraView {}
diff --git a/src/mlkit/facedetection/index.ios.ts b/src/mlkit/facedetection/index.ios.ts
index 9fcb1568..d535f8cd 100644
--- a/src/mlkit/facedetection/index.ios.ts
+++ b/src/mlkit/facedetection/index.ios.ts
@@ -1,5 +1,5 @@
 import { ImageSource } from "tns-core-modules/image-source";
-import { MLKitDetectFacesOptions, MLKitDetectFacesResult } from "./";
+import { MLKitDetectFacesOnDeviceOptions, MLKitDetectFacesOnDeviceResult } from "./";
 import { MLKitOptions } from "../index";
 import { MLKitFaceDetection as MLKitFaceDetectionBase } from "./facedetection-common";
 
@@ -15,7 +15,7 @@ export class MLKitFaceDetection extends MLKitFaceDetectionBase {
         console.log(error.localizedDescription);
 
       } else if (faces !== null && faces.count > 0) {
-        const result = <MLKitDetectFacesResult>{
+        const result = <MLKitDetectFacesOnDeviceResult>{
           faces: []
         };
 
@@ -56,7 +56,8 @@ function getDetector(): FIRVisionFaceDetector {
   return firVision.faceDetectorWithOptions(options);
 }
 
-export function detectFaces(options: MLKitDetectFacesOptions): Promise<MLKitDetectFacesResult> {
+// TODO somehow this function doesn't work.. probably because of the passed image, but I can't find the cause.. the live camera version works great tho
+export function detectFacesOnDevice(options: MLKitDetectFacesOnDeviceOptions): Promise<MLKitDetectFacesOnDeviceResult> {
   return new Promise((resolve, reject) => {
     try {
       const faceDetector = getDetector();
@@ -65,14 +66,12 @@ export function detectFaces(options: MLKitDetectFacesOptions): Promise<MLKitDete
           reject(error.localizedDescription);
 
         } else if (faces !== null) {
-          const result = <MLKitDetectFacesResult>{
+          const result = <MLKitDetectFacesOnDeviceResult>{
             faces: []
           };
 
-          console.log(">>> faces.count: " + faces.count);
           for (let i = 0, l = faces.count; i < l; i++) {
             const face: FIRVisionFace = faces.objectAtIndex(i);
-            console.log(">> face: " + face);
             result.faces.push({
               smilingProbability: face.hasSmilingProbability ? face.smilingProbability : undefined,
               leftEyeOpenProbability: face.hasLeftEyeOpenProbability ? face.leftEyeOpenProbability : undefined,
diff --git a/src/mlkit/imagelabeling/imagelabeling-common.ts b/src/mlkit/imagelabeling/imagelabeling-common.ts
index 18825df5..29d4ed62 100644
--- a/src/mlkit/imagelabeling/imagelabeling-common.ts
+++ b/src/mlkit/imagelabeling/imagelabeling-common.ts
@@ -6,12 +6,6 @@ export const confidenceThresholdProperty = new Property<MLKitImageLabeling, numb
   defaultValue: 0.5,
 });
 
-// TODO use
-export const maxResultsThresholdProperty = new Property<MLKitImageLabeling, number>({
-  name: "maxResults",
-  defaultValue: 10,
-});
-
 export abstract class MLKitImageLabeling extends MLKitCameraView {
   static scanResultEvent: string = "scanResult";
 
@@ -21,11 +15,6 @@ export abstract class MLKitImageLabeling extends MLKitCameraView {
   [confidenceThresholdProperty.setNative](value: number) {
     this.confidenceThreshold = value;
   }
-
-  [maxResultsThresholdProperty.setNative](value: number) {
-    this.maxResults = value;
-  }
 }
 
 confidenceThresholdProperty.register(MLKitImageLabeling);
-maxResultsThresholdProperty.register(MLKitImageLabeling);
diff --git a/src/mlkit/imagelabeling/index.android.ts b/src/mlkit/imagelabeling/index.android.ts
index 2c36f586..74c0adb9 100644
--- a/src/mlkit/imagelabeling/index.android.ts
+++ b/src/mlkit/imagelabeling/index.android.ts
@@ -1,7 +1,8 @@
 import { ImageSource } from "tns-core-modules/image-source";
 import { MLKitOptions, } from "../";
-import { MLKitImageLabelingOptions, MLKitImageLabelingResult } from "./";
+import { MLKitImageLabelingOnDeviceOptions, MLKitImageLabelingOnDeviceResult } from "./";
 import { MLKitImageLabeling as MLKitImageLabelingBase } from "./imagelabeling-common";
+import { MLKitImageLabelingCloudOptions, MLKitImageLabelingCloudResult } from "./index";
 
 declare const com: any;
 
@@ -20,7 +21,7 @@ export class MLKitImageLabeling extends MLKitImageLabelingBase {
         // const imageSource = new ImageSource();
         // imageSource.setNativeSource(this.lastVisionImage.getBitmapForDebugging());
 
-        const result = <MLKitImageLabelingResult>{
+        const result = <MLKitImageLabelingOnDeviceResult>{
           // imageSource: imageSource,
           labels: []
         };
@@ -53,14 +54,14 @@ function getDetector(confidenceThreshold: number): any {
   return com.google.firebase.ml.vision.FirebaseVision.getInstance().getVisionLabelDetector(labelDetectorOptions);
 }
 
-export function labelImage(options: MLKitImageLabelingOptions): Promise<MLKitImageLabelingResult> {
+export function labelImageOnDevice(options: MLKitImageLabelingOnDeviceOptions): Promise<MLKitImageLabelingOnDeviceResult> {
   return new Promise((resolve, reject) => {
     try {
       const firebaseVisionLabelDetector = getDetector(options.confidenceThreshold || 0.5);
 
       const onSuccessListener = new com.google.android.gms.tasks.OnSuccessListener({
         onSuccess: labels => {
-          const result = <MLKitImageLabelingResult>{
+          const result = <MLKitImageLabelingOnDeviceResult>{
             labels: []
           };
 
@@ -88,7 +89,54 @@ export function labelImage(options: MLKitImageLabelingOptions): Promise<MLKitIma
           .addOnFailureListener(onFailureListener);
 
     } catch (ex) {
-      console.log("Error in firebase.mlkit.labelImage: " + ex);
+      console.log("Error in firebase.mlkit.labelImageOnDevice: " + ex);
+      reject(ex);
+    }
+  });
+}
+
+export function labelImageCloud(options: MLKitImageLabelingCloudOptions): Promise<MLKitImageLabelingCloudResult> {
+  return new Promise((resolve, reject) => {
+    try {
+      const cloudDetectorOptions =
+          new com.google.firebase.ml.vision.cloud.FirebaseVisionCloudDetectorOptions.Builder()
+              .setModelType(options.modelType === "latest" ? com.google.firebase.ml.vision.cloud.FirebaseVisionCloudDetectorOptions.LATEST_MODEL : com.google.firebase.ml.vision.cloud.FirebaseVisionCloudDetectorOptions.STABLE_MODEL)
+              .setMaxResults(options.maxResults || 10)
+              .build();
+
+      const firebaseVisionCloudLabelDetector = com.google.firebase.ml.vision.FirebaseVision.getInstance().getVisionCloudLabelDetector(cloudDetectorOptions);
+
+      const onSuccessListener = new com.google.android.gms.tasks.OnSuccessListener({
+        onSuccess: labels => {
+          const result = <MLKitImageLabelingCloudResult>{
+            labels: []
+          };
+
+          for (let i = 0; i < labels.size(); i++) {
+            const label = labels.get(i);
+            result.labels.push({
+              text: label.getLabel(),
+              confidence: label.getConfidence()
+            });
+          }
+
+          console.log(">>> cloud image labeling result: " + JSON.stringify(result));
+          resolve(result);
+          firebaseVisionCloudLabelDetector.close();
+        }
+      });
+
+      const onFailureListener = new com.google.android.gms.tasks.OnFailureListener({
+        onFailure: exception => reject(exception.getMessage())
+      });
+
+      firebaseVisionCloudLabelDetector
+          .detectInImage(getImage(options))
+          .addOnSuccessListener(onSuccessListener)
+          .addOnFailureListener(onFailureListener);
+
+    } catch (ex) {
+      console.log("Error in firebase.mlkit.labelImageCloud: " + ex);
       reject(ex);
     }
   });
diff --git a/src/mlkit/imagelabeling/index.d.ts b/src/mlkit/imagelabeling/index.d.ts
index c4dd7aef..b7c5d6ea 100644
--- a/src/mlkit/imagelabeling/index.d.ts
+++ b/src/mlkit/imagelabeling/index.d.ts
@@ -1,7 +1,7 @@
 import { MLKitOptions } from "../";
-import { MLKitCameraView, MLKitResult } from "../index";
+import { MLKitCameraView, MLKitCloudOptions, MLKitResult } from "../index";
 
-export interface MLKitImageLabelingResult extends MLKitResult {
+export interface MLKitImageLabelingCloudResult extends MLKitResult {
   labels: Array<{
     text: string;
     confidence: number;
@@ -9,17 +9,21 @@ export interface MLKitImageLabelingResult extends MLKitResult {
   }>;
 }
 
-export interface MLKitImageLabelingOptions extends MLKitOptions {
+export interface MLKitImageLabelingOnDeviceResult extends MLKitImageLabelingCloudResult {
+}
+
+export interface MLKitImageLabelingOnDeviceOptions extends MLKitOptions {
   /**
    * 0.5 by default
    */
   confidenceThreshold?: number;
-  /**
-   * 10 by default
-   */
-  maxResults?: number;
 }
 
-export declare function labelImage(options: MLKitImageLabelingOptions): Promise<MLKitImageLabelingResult>;
+export interface MLKitImageLabelingCloudOptions extends MLKitCloudOptions {
+}
+
+export declare function labelImageOnDevice(options: MLKitImageLabelingOnDeviceOptions): Promise<MLKitImageLabelingOnDeviceResult>;
+
+export declare function labelImageCloud(options: MLKitImageLabelingCloudOptions): Promise<MLKitImageLabelingCloudResult>;
 
 export declare class MLKitImageLabeling extends MLKitCameraView {}
diff --git a/src/mlkit/imagelabeling/index.ios.ts b/src/mlkit/imagelabeling/index.ios.ts
index 070e073f..48d49cc5 100644
--- a/src/mlkit/imagelabeling/index.ios.ts
+++ b/src/mlkit/imagelabeling/index.ios.ts
@@ -1,7 +1,8 @@
 import { ImageSource } from "tns-core-modules/image-source";
 import { MLKitOptions } from "../";
-import { MLKitImageLabelingOptions, MLKitImageLabelingResult } from "./";
+import { MLKitImageLabelingOnDeviceOptions, MLKitImageLabelingOnDeviceResult } from "./";
 import { MLKitImageLabeling as MLKitImageLabelingBase } from "./imagelabeling-common";
+import { MLKitImageLabelingCloudOptions, MLKitImageLabelingCloudResult } from "./index";
 
 export class MLKitImageLabeling extends MLKitImageLabelingBase {
 
@@ -15,7 +16,7 @@ export class MLKitImageLabeling extends MLKitImageLabelingBase {
         console.log(error.localizedDescription);
 
       } else if (labels !== null && labels.count > 0) {
-        const result = <MLKitImageLabelingResult>{
+        const result = <MLKitImageLabelingOnDeviceResult>{
           labels: []
         };
 
@@ -48,7 +49,7 @@ function getDetector(confidenceThreshold: number): FIRVisionLabelDetector {
   return firVision.labelDetectorWithOptions(fIRVisionLabelDetectorOptions);
 }
 
-export function labelImage(options: MLKitImageLabelingOptions): Promise<MLKitImageLabelingResult> {
+export function labelImageOnDevice(options: MLKitImageLabelingOnDeviceOptions): Promise<MLKitImageLabelingOnDeviceResult> {
   return new Promise((resolve, reject) => {
     try {
       const labelDetector = getDetector(options.confidenceThreshold || 0.5);
@@ -58,7 +59,7 @@ export function labelImage(options: MLKitImageLabelingOptions): Promise<MLKitIma
           reject(error.localizedDescription);
 
         } else if (labels !== null) {
-          const result = <MLKitImageLabelingResult>{
+          const result = <MLKitImageLabelingOnDeviceResult>{
             labels: []
           };
 
@@ -75,7 +76,44 @@ export function labelImage(options: MLKitImageLabelingOptions): Promise<MLKitIma
         }
       });
     } catch (ex) {
-      console.log("Error in firebase.mlkit.labelImage: " + ex);
+      console.log("Error in firebase.mlkit.labelImageOnDevice: " + ex);
+      reject(ex);
+    }
+  });
+}
+
+export function labelImageCloud(options: MLKitImageLabelingCloudOptions): Promise<MLKitImageLabelingCloudResult> {
+  return new Promise((resolve, reject) => {
+    try {
+      const fIRVisionCloudDetectorOptions = FIRVisionCloudDetectorOptions.new();
+      fIRVisionCloudDetectorOptions.modelType = options.modelType === "latest" ? FIRVisionCloudModelType.Latest : FIRVisionCloudModelType.Stable;
+      fIRVisionCloudDetectorOptions.maxResults = options.maxResults || 10;
+
+      const firVision: FIRVision = FIRVision.vision();
+      const labelDetector = firVision.cloudLabelDetectorWithOptions(fIRVisionCloudDetectorOptions);
+
+      labelDetector.detectInImageCompletion(getImage(options), (labels: NSArray<FIRVisionCloudLabel>, error: NSError) => {
+        if (error !== null) {
+          reject(error.localizedDescription);
+
+        } else if (labels !== null) {
+          const result = <MLKitImageLabelingCloudResult>{
+            labels: []
+          };
+
+          for (let i = 0, l = labels.count; i < l; i++) {
+            const label: FIRVisionCloudLabel = labels.objectAtIndex(i);
+            result.labels.push({
+              text: label.label,
+              confidence: label.confidence
+            });
+          }
+          console.log(">>> cloud image labeling result: " + JSON.stringify(result.labels));
+          resolve(result);
+        }
+      });
+    } catch (ex) {
+      console.log("Error in firebase.mlkit.labelImageCloud: " + ex);
       reject(ex);
     }
   });
diff --git a/src/mlkit/mlkit-cameraview.android.ts b/src/mlkit/mlkit-cameraview.android.ts
index 739ba322..ed5b5fc1 100644
--- a/src/mlkit/mlkit-cameraview.android.ts
+++ b/src/mlkit/mlkit-cameraview.android.ts
@@ -101,10 +101,7 @@ export abstract class MLKitCameraView extends MLKitCameraViewBase {
       }
       const camera = android.hardware.Camera.open(requestedCameraId);
 
-    const sizePair = this.selectSizePair(camera, 800, 600); // TODO based on wrapping frame
-      console.log(">>> sizePair.pictureSize: " + sizePair.pictureSize);
-      console.log(">>> sizePair.pictureSize.xy: " + sizePair.pictureSize.width + " x " + sizePair.pictureSize.height);
-      console.log(">>> sizePair.previewSize.xy: " + sizePair.previewSize.width + " x " + sizePair.previewSize.height);
+      const sizePair = this.selectSizePair(camera, 800, 600); // TODO based on wrapping frame
 
       if (!sizePair) {
         console.log("Could not find suitable preview size.");
diff --git a/src/mlkit/mlkit-util.ios.ts b/src/mlkit/mlkit-util.ios.ts
deleted file mode 100644
index 50a9c2c5..00000000
--- a/src/mlkit/mlkit-util.ios.ts
+++ /dev/null
@@ -1,3 +0,0 @@
-export function getVisionImage(image: any /* native image */): any /* native VisionImage */ {
-
-}
diff --git a/src/mlkit/mlkit-util.ts b/src/mlkit/mlkit-util.ts
deleted file mode 100644
index 0bdef6dd..00000000
--- a/src/mlkit/mlkit-util.ts
+++ /dev/null
@@ -1 +0,0 @@
-export declare function getVisionImage(image: any /* native image */): any /* native VisionImage */;
diff --git a/src/mlkit/textrecognition/index.android.ts b/src/mlkit/textrecognition/index.android.ts
index de1e3b38..bb3dff9d 100644
--- a/src/mlkit/textrecognition/index.android.ts
+++ b/src/mlkit/textrecognition/index.android.ts
@@ -1,6 +1,6 @@
 import { ImageSource } from "tns-core-modules/image-source";
 import { MLKitOptions, } from "../";
-import { MLKitRecognizeTextLocalOptions, MLKitRecognizeTextLocalResult } from "./";
+import { MLKitRecognizeTextOnDeviceOptions, MLKitRecognizeTextOnDeviceResult } from "./";
 import { MLKitTextRecognition as MLKitTextRecognitionBase } from "./textrecognition-common";
 import {
   MLKitRecognizeTextCloudOptions,
@@ -23,7 +23,7 @@ export class MLKitTextRecognition extends MLKitTextRecognitionBase {
           this.notify({
             eventName: MLKitTextRecognition.scanResultEvent,
             object: this,
-            value: getLocalResult(textBlocks.getBlocks())
+            value: getOnDeviceResult(textBlocks.getBlocks())
           });
         }
       }
@@ -31,8 +31,8 @@ export class MLKitTextRecognition extends MLKitTextRecognitionBase {
   }
 }
 
-function getLocalResult(blocks: any): MLKitRecognizeTextLocalResult {
-  const result = <MLKitRecognizeTextLocalResult>{
+function getOnDeviceResult(blocks: any): MLKitRecognizeTextOnDeviceResult {
+  const result = <MLKitRecognizeTextOnDeviceResult>{
     features: []
   };
 
@@ -72,14 +72,14 @@ function getLocalResult(blocks: any): MLKitRecognizeTextLocalResult {
   return result;
 }
 
-export function recognizeTextLocal(options: MLKitRecognizeTextLocalOptions): Promise<MLKitRecognizeTextLocalResult> {
+export function recognizeTextOnDevice(options: MLKitRecognizeTextOnDeviceOptions): Promise<MLKitRecognizeTextOnDeviceResult> {
   return new Promise((resolve, reject) => {
     try {
       const firebaseVisionTextDetector = com.google.firebase.ml.vision.FirebaseVision.getInstance().getVisionTextDetector();
 
       const onSuccessListener = new com.google.android.gms.tasks.OnSuccessListener({
         onSuccess: textBlocks => {
-          resolve(getLocalResult(textBlocks.getBlocks()));
+          resolve(getOnDeviceResult(textBlocks.getBlocks()));
           firebaseVisionTextDetector.close();
         }
       });
@@ -94,7 +94,7 @@ export function recognizeTextLocal(options: MLKitRecognizeTextLocalOptions): Pro
           .addOnFailureListener(onFailureListener);
 
     } catch (ex) {
-      console.log("Error in firebase.mlkit.recognizeTextLocal: " + ex);
+      console.log("Error in firebase.mlkit.recognizeTextOnDevice: " + ex);
       reject(ex);
     }
   });
diff --git a/src/mlkit/textrecognition/index.d.ts b/src/mlkit/textrecognition/index.d.ts
index 11fd83bd..b62361ef 100644
--- a/src/mlkit/textrecognition/index.d.ts
+++ b/src/mlkit/textrecognition/index.d.ts
@@ -17,7 +17,7 @@ export interface MLKitRecognizeTextResultFeature {
   }>
 }
 
-export interface MLKitRecognizeTextLocalResult extends MLKitResult {
+export interface MLKitRecognizeTextOnDeviceResult extends MLKitResult {
   features: Array<MLKitRecognizeTextResultFeature>;
 }
 
@@ -25,13 +25,13 @@ export interface MLKitRecognizeTextCloudResult extends MLKitResult {
   text: string;
 }
 
-export interface MLKitRecognizeTextLocalOptions extends MLKitOptions {
+export interface MLKitRecognizeTextOnDeviceOptions extends MLKitOptions {
 }
 
 export interface MLKitRecognizeTextCloudOptions extends MLKitCloudOptions {
 }
 
-export declare function recognizeTextLocal(options: MLKitRecognizeTextLocalOptions): Promise<MLKitRecognizeTextLocalResult>;
+export declare function recognizeTextOnDevice(options: MLKitRecognizeTextOnDeviceOptions): Promise<MLKitRecognizeTextOnDeviceResult>;
 
 export declare function recognizeTextCloud(options: MLKitRecognizeTextCloudOptions): Promise<MLKitRecognizeTextCloudResult>;
 
diff --git a/src/mlkit/textrecognition/index.ios.ts b/src/mlkit/textrecognition/index.ios.ts
index ceb1b8b3..f5f6e794 100644
--- a/src/mlkit/textrecognition/index.ios.ts
+++ b/src/mlkit/textrecognition/index.ios.ts
@@ -1,6 +1,6 @@
 import { ImageSource } from "tns-core-modules/image-source";
 import { MLKitOptions } from "../";
-import { MLKitRecognizeTextLocalOptions, MLKitRecognizeTextCloudOptions, MLKitRecognizeTextLocalResult, MLKitRecognizeTextCloudResult } from "./";
+import { MLKitRecognizeTextOnDeviceOptions, MLKitRecognizeTextCloudOptions, MLKitRecognizeTextOnDeviceResult, MLKitRecognizeTextCloudResult } from "./";
 import { MLKitTextRecognition as MLKitTextRecognitionBase } from "./textrecognition-common";
 import { MLKitRecognizeTextResultFeature } from "./index";
 
@@ -18,7 +18,7 @@ export class MLKitTextRecognition extends MLKitTextRecognitionBase {
         this.notify({
           eventName: MLKitTextRecognition.scanResultEvent,
           object: this,
-          value: getLocalResult(features)
+          value: getOnDeviceResult(features)
         });
       }
     };
@@ -30,8 +30,8 @@ export class MLKitTextRecognition extends MLKitTextRecognitionBase {
 
 }
 
-function getLocalResult(features: NSArray<FIRVisionText>): MLKitRecognizeTextLocalResult {
-  const result = <MLKitRecognizeTextLocalResult>{
+function getOnDeviceResult(features: NSArray<FIRVisionText>): MLKitRecognizeTextOnDeviceResult {
+  const result = <MLKitRecognizeTextOnDeviceResult>{
     features: []
   };
 
@@ -70,7 +70,7 @@ function getLocalResult(features: NSArray<FIRVisionText>): MLKitRecognizeTextLoc
   return result;
 }
 
-export function recognizeTextLocal(options: MLKitRecognizeTextLocalOptions): Promise<MLKitRecognizeTextLocalResult> {
+export function recognizeTextOnDevice(options: MLKitRecognizeTextOnDeviceOptions): Promise<MLKitRecognizeTextOnDeviceResult> {
   return new Promise((resolve, reject) => {
     try {
       const firVision: FIRVision = FIRVision.vision();
@@ -80,11 +80,11 @@ export function recognizeTextLocal(options: MLKitRecognizeTextLocalOptions): Pro
         if (error !== null) {
           reject(error.localizedDescription);
         } else if (features !== null) {
-          resolve(getLocalResult(features));
+          resolve(getOnDeviceResult(features));
         }
       });
     } catch (ex) {
-      console.log("Error in firebase.mlkit.recognizeTextLocal: " + ex);
+      console.log("Error in firebase.mlkit.recognizeTextOnDevice: " + ex);
       reject(ex);
     }
   });
@@ -101,12 +101,16 @@ export function recognizeTextCloud(options: MLKitRecognizeTextCloudOptions): Pro
       const textDetector = firVision.cloudTextDetectorWithOptions(fIRVisionCloudDetectorOptions);
 
       textDetector.detectInImageCompletion(getImage(options), (cloudText: FIRVisionCloudText, error: NSError) => {
+        console.log(">>> recognizeTextCloud error? " + error + ", cloudText? " + cloudText);
         if (error !== null) {
           reject(error.localizedDescription);
         } else if (cloudText !== null) {
+          console.log(">>> recognizeTextCloud result: " + cloudText);
           resolve({
             text: cloudText.text
           });
+        } else {
+          reject("Unknown error :'(");
         }
       });
     } catch (ex) {