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🔨 Minor fixes

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Tanay Pant 2020-11-02 08:46:30 +01:00
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10
docs/nodes/nodes-library/nodes/AWSRekognition/README.md
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@ -33,22 +33,22 @@ The final workflow should look like the following image.
The Start node exists by default when you create a new workflow.
### 2. HTTP Request node
### 2. HTTP Request node (GET)
This example workflow uses the HTTP Request node to fetch an image from a URL. You can use the [Read Binary File](../../core-nodes/ReadBinaryFile/README.md) node to read an image file from the path you specify.
This example workflow uses the HTTP Request node to fetch an image from a URL. You can also use the [Read Binary File](../../core-nodes/ReadBinaryFile/README.md) node to read an image file from the path you specify.
1. Enter the URL of the image in the ***URL*** field.
1. Enter the URL of the image in the ***URL*** field. For example, `https://n8n.io/_nuxt/img/04c67e5.png`.
2. Select 'File' from the ***Response Format*** dropdown list.
3. Click on ***Execute Node*** to run the node.
In the screenshot below, you will notice that the HTTP Request node fetches the image from the URL. This image gets passed on to the next node in the workflow.
In the screenshot below, you will notice that the HTTP Request node fetches the image from the URL. This image gets passed on as binary data to the next node in the workflow.
![Using the HTTP Request node to fetch an image from a URL](./HTTPRequest_node.png)
### 3. AWS Rekognition node (analyze: image)
This node will detect a face in the image that we fetched in the previous node. You can also use this node to analyze an image stored in your AWS Bucket.
This node will detect faces in the image that we fetched in the previous node. You can also use this node to analyze an image stored in your AWS Bucket.
1. First of all, you'll have to enter credentials for the AWS Rekognition node. You can find out how to enter credentials for this node [here](../../../credentials/AWS/README.md).
2. Set ***Binary Data*** to `true`.