Index Images for Search

Use AI to index your images based on semantic similarity.

To get started with search, you must first add images to the search index. You can add one or more images to the index at a time. You can supply an image either with a publicly accessible URL or by directly sending image bytes. You can send up to 128 images in one API call.

gRPC Java

import com.clarifai.grpc.api.*;
import com.clarifai.grpc.api.status.*;

// Insert here the initialization code as outlined on this page:
// https://docs.clarifai.com/api-guide/api-overview/api-clients#client-installation-instructions

MultiInputResponse postInputsResponse = stub.postInputs(
    PostInputsRequest.newBuilder()
        .addInputs(
            Input.newBuilder()
                .setData(
                    Data.newBuilder().setImage(
                        Image.newBuilder()
                            .setUrl("https://samples.clarifai.com/metro-north.jpg")
                            .setAllowDuplicateUrl(true)
                    )
                )
        )
        .addInputs(
            Input.newBuilder()
                .setData(
                    Data.newBuilder().setImage(
                        Image.newBuilder()
                            .setUrl("https://samples.clarifai.com/wedding.jpg")
                            .setAllowDuplicateUrl(true)
                    )
                )
        )
        .addInputs(
            Input.newBuilder()
                .setData(
                    Data.newBuilder().setImage(
                        Image.newBuilder()
                            .setBase64(ByteString.copyFrom(Files.readAllBytes(
                                new File("{YOUR_IMAGE_FILE_LOCATION}").toPath()
                            )))
                    )
                )
        )
        .build()
);

if (postInputsResponse.getStatus().getCode() != StatusCode.SUCCESS) {
    for (Input input : postInputsResponse.getInputsList()) {
        System.out.println("Input " + input.getId() + " status: ");
        System.out.println(input.getStatus() + "\n");
    }

    throw new RuntimeException("Post inputs failed, status: " + postInputsResponse.getStatus());
}

gRPC NodeJS

// Insert here the initialization code as outlined on this page:
// https://docs.clarifai.com/api-guide/api-overview/api-clients#client-installation-instructions

const fs = require("fs");
const imageBytes = fs.readFileSync("{YOUR_IMAGE_FILE_LOCATION}");

stub.PostInputs(
    {
        inputs: [
            {
                data: {image: {url: "https://samples.clarifai.com/metro-north.jpg", allow_duplicate_url: true}}
            },
            {
                data: {image: {url: "https://samples.clarifai.com/puppy.jpeg", allow_duplicate_url: true}}
            },
            {
                data: {image: {base64: imageBytes}}
            }
        ]
    },
    metadata,
    (err, response) => {
        if (err) {
            throw new Error(err);
        }

        if (response.status.code !== 10000) {
            for (const input of response.inputs) {
                console.log("Input " + input.id + " status: ");
                console.log(JSON.stringify(input.status, null, 2) + "\n");
            }

            throw new Error("Post inputs failed, status: " + response.status.description);
        }
    }
);

gRPC Python

# Insert here the initialization code as outlined on this page:
# https://docs.clarifai.com/api-guide/api-overview/api-clients#client-installation-instructions

with open("{YOUR_IMAGE_FILE_LOCATION}", "rb") as f:
    file_bytes = f.read()

post_inputs_response = stub.PostInputs(
    service_pb2.PostInputsRequest(
        inputs=[
            resources_pb2.Input(
                data=resources_pb2.Data(
                    image=resources_pb2.Image(
                        url="https://samples.clarifai.com/metro-north.jpg",
                        allow_duplicate_url=True
                    )
                )
            ),
            resources_pb2.Input(
                data=resources_pb2.Data(
                    image=resources_pb2.Image(
                        url="https://samples.clarifai.com/wedding.jpg",
                        allow_duplicate_url=True
                    )
                )
            ),
            resources_pb2.Input(
                data=resources_pb2.Data(
                    image=resources_pb2.Image(
                        base64=file_bytes
                    )
                )
            ),
        ]
    ),
    metadata=metadata
)

if post_inputs_response.status.code != status_code_pb2.SUCCESS:
    for input_response in post_inputs_response.inputs:
        print("Input " + input_response.id + " status:")
        print(input_response.status)

    raise Exception("Post inputs failed, status: " + post_inputs_response.status.description)

js

app.inputs.create([
  {url: "https://samples.clarifai.com/metro-north.jpg"},
  {url: "https://samples.clarifai.com/wedding.jpg"},
  {base64: "G7p3m95uAl..."}
]).then(

  function(response) {
    // do something with response
  },
  function(err) {
    // there was an error
  }
);

python

from clarifai.rest import ClarifaiApp
from clarifai.rest import Image as ClImage

app = ClarifaiApp(api_key='YOUR_API_KEY')

img1 = ClImage(url="https://samples.clarifai.com/metro-north.jpg")
img2 = ClImage(url="https://samples.clarifai.com/puppy.jpeg")
img3 = ClImage(file_obj=open('/home/user/image.jpeg', 'rb'))

app.inputs.bulk_create_images([img1, img2, img3])

java

client.addInputs()
    .plus(
        ClarifaiInput.forImage("https://samples.clarifai.com/metro-north.jpg"),
        ClarifaiInput.forImage("https://samples.clarifai.com/wedding.jpg")
    )
    .executeSync();

csharp

using System.Threading.Tasks;
using Clarifai.API;
using Clarifai.DTOs.Inputs;

namespace YourNamespace
{
    public class YourClassName
    {
        public static async Task Main()
        {
            var client = new ClarifaiClient("YOUR_API_KEY");

            await client.AddInputs(
                new ClarifaiURLImage("https://samples.clarifai.com/metro-north.jpg"),
                new ClarifaiURLImage("https://samples.clarifai.com/wedding.jpg")
            ).ExecuteAsync();
        }
    }
}

objective-c

ClarifaiImage *image1 = [[ClarifaiImage alloc] initWithURL:@"https://samples.clarifai.com/metro-north.jpg"];
ClarifaiImage *image2 = [[ClarifaiImage alloc] initWithURL:@"https://samples.clarifai.com/wedding.jpg"];

[app addInputs:@[image1, image2] completion:^(NSArray<ClarifaiInput *> *inputs, NSError *error) {
    NSLog(@"inputs: %@", inputs);
}];

php

use Clarifai\API\ClarifaiClient;
use Clarifai\DTOs\Inputs\ClarifaiURLImage;

$client = new ClarifaiClient('YOUR_API_KEY');

$response = $client->addInputs([
    new ClarifaiURLImage('https://samples.clarifai.com/metro-north.jpg'),
    new ClarifaiURLImage('https://samples.clarifai.com/wedding.jpg'),
])->executeSync();

if ($response-> isSuccessful()) {
    echo "Response is successful.\n";
} else {
    echo "Response is not successful. Reason: \n";
    echo $response->status()->description() . "\n";
    echo $response->status()->errorDetails() . "\n";
    echo "Status code: " . $response->status()->statusCode();
}

cURL

curl -X POST \
  -H "Authorization: Key YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '
  {
    "inputs": [
      {
        "data": {
          "image": {
            "url": "https://samples.clarifai.com/metro-north.jpg",
            "allow_duplicate_url": true
          }
        }
      },
      {
        "data": {
          "image": {
            "url": "https://samples.clarifai.com/wedding.jpg",
            "allow_duplicate_url": true
          }
        }
      }
    ]
  }'\
  https://api.clarifai.com/v2/inputs

# Use image's "base64" field to upload image from your local machine.

Response JSON

{
  "status": {
    "code": 10000,
    "description": "Ok"
  },
  "inputs": [
    {
      "id": "edc70c917475499abdc7151f41d6cf3e",
      "created_at": "2016-11-22T17:06:02Z",
      "data": {
        "image": {
          "url": "https://samples.clarifai.com/metro-north.jpg"
        }
      },
      "status": {
        "code": 30001,
        "description": "Download pending"
      }
    },
    {
      "id": "f96ca3bbf02041c59addcc13e3468b7d",
      "created_at": "2016-11-22T17:06:02Z",
      "data": {
        "image": {
          "url": "https://samples.clarifai.com/wedding.jpg"
        }
      },
      "status": {
        "code": 30001,
        "description": "Download pending"
      }
    }
  ]
}