The Analyze API is currently in development and is available as a Public Beta, which means we value your feedback, so please feel free to share any thoughts with us.
The analysis options require an active subscription to the relevant add-on. Learn more about registering for add-ons.

The API supports both Basic Authentication using your Cloudinary API Key and API Secret (which can be found on the Dashboard page of your Cloudinary Console) or OAuth2 (Contact support for more information regarding OAuth).

SDK Installation

The SDK can be installed with either npm, pnpm, bun or yarn package managers.

NPM

npm add @cloudinary/analysis

PNPM

pnpm add @cloudinary/analysis

Bun

bun add @cloudinary/analysis

Yarn

yarn add @cloudinary/analysis zod

# Note that Yarn does not install peer dependencies automatically. You will need
# to install zod as shown above.

Model Context Protocol (MCP) Server

This SDK is also an installable MCP server where the various SDK methods are exposed as tools that can be invoked by AI applications.

Node.js v20 or greater is required to run the MCP server from npm.

Claude installation steps

Add the following server definition to your claude_desktop_config.json file:

{
  "mcpServers": {
    "CloudinaryAnalysis": {
      "command": "npx",
      "args": [
        "-y", "--package", "@cloudinary/analysis",
        "--",
        "mcp", "start",
        "--cloud-name", "...",
        "--api-key", "...",
        "--api-secret", "..."
      ]
    }
  }
}

Cursor installation steps

Create a .cursor/mcp.json file in your project root with the following content:

{
  "mcpServers": {
    "CloudinaryAnalysis": {
      "command": "npx",
      "args": [
        "-y", "--package", "@cloudinary/analysis",
        "--",
        "mcp", "start",
        "--cloud-name", "...",
        "--api-key", "...",
        "--api-secret", "..."
      ]
    }
  }
}

You can also run MCP servers as a standalone binary with no additional dependencies. You must pull these binaries from available Github releases:

curl -L -o mcp-server \
    https://github.com/cloudinary/analysis-js/releases/download/{tag}/mcp-server-bun-darwin-arm64 && \
chmod +x mcp-server

For a full list of server arguments, run:

npx -y --package @cloudinary/analysis -- mcp start --help

Requirements

For supported JavaScript runtimes, please consult RUNTIMES.md.

SDK Example Usage

Example

import { CloudinaryAnalysis } from "@cloudinary/analysis";

const cloudinaryAnalysis = new CloudinaryAnalysis({
  security: {
    cloudinaryAuth: {
      apiKey: "CLOUDINARY_API_KEY",
      apiSecret: "CLOUDINARY_API_SECRET",
    },
  },
});

async function run() {
  const result = await cloudinaryAnalysis.analyze.aiVisionGeneral({
    source: {
      uri: "https://res.cloudinary.com/demo/image/upload/sample.jpg",
    },
    prompts: [
      "Describe this image in detail",
      "Does this image contain an insect?",
    ],
  });

  console.log(result);
}

run();

Server Selection

Server Variables

The default server https://api.cloudinary.com/v2/analysis/{cloud_name} contains variables and is set to https://api.cloudinary.com/v2/analysis/CLOUD_NAME by default. To override default values, the following parameters are available when initializing the SDK client instance:

Variable	Parameter	Default	Description
`cloud_name`	`cloudName: string`	`"CLOUD_NAME"`	Your Cloud Name.

Example

import { CloudinaryAnalysis } from "@cloudinary/analysis";

const cloudinaryAnalysis = new CloudinaryAnalysis({
  cloudName: "<value>",
  security: {
    cloudinaryAuth: {
      apiKey: "CLOUDINARY_API_KEY",
      apiSecret: "CLOUDINARY_API_SECRET",
    },
  },
});

async function run() {
  const result = await cloudinaryAnalysis.analyze.aiVisionGeneral({
    source: {
      uri: "https://res.cloudinary.com/demo/image/upload/sample.jpg",
    },
    prompts: [
      "Describe this image in detail",
      "Does this image contain an insect?",
    ],
  });

  console.log(result);
}

run();

Override Server URL Per-Client

The default server can be overridden globally by passing a URL to the serverURL: string optional parameter when initializing the SDK client instance. For example:

import { CloudinaryAnalysis } from "@cloudinary/analysis";

const cloudinaryAnalysis = new CloudinaryAnalysis({
  serverURL: "https://api.cloudinary.com/v2/analysis/CLOUD_NAME",
  security: {
    cloudinaryAuth: {
      apiKey: "CLOUDINARY_API_KEY",
      apiSecret: "CLOUDINARY_API_SECRET",
    },
  },
});

async function run() {
  const result = await cloudinaryAnalysis.analyze.aiVisionGeneral({
    source: {
      uri: "https://res.cloudinary.com/demo/image/upload/sample.jpg",
    },
    prompts: [
      "Describe this image in detail",
      "Does this image contain an insect?",
    ],
  });

  console.log(result);
}

run();

Authentication

Per-Client Security Schemes

This SDK supports the following security schemes globally:

Name	Type	Scheme	Environment Variable
`cloudinaryAuth`	http	Custom HTTP	`CLOUDINARY_CLOUDINARY_AUTH`
`oAuth2`	oauth2	OAuth2 token	`CLOUDINARY_O_AUTH2`

You can set the security parameters through the security optional parameter when initializing the SDK client instance. The selected scheme will be used by default to authenticate with the API for all operations that support it. For example:

import { CloudinaryAnalysis } from "@cloudinary/analysis";

const cloudinaryAnalysis = new CloudinaryAnalysis({
  security: {
    cloudinaryAuth: {
      apiKey: "CLOUDINARY_API_KEY",
      apiSecret: "CLOUDINARY_API_SECRET",
    },
  },
});

async function run() {
  const result = await cloudinaryAnalysis.analyze.aiVisionGeneral({
    source: {
      uri: "https://res.cloudinary.com/demo/image/upload/sample.jpg",
    },
    prompts: [
      "Describe this image in detail",
      "Does this image contain an insect?",
    ],
  });

  console.log(result);
}

run();

Available Resources and Operations

Available methods

analyze

aiVisionGeneral - Analyze - AI Vision General
aiVisionModeration - Analyze - AI Vision Moderation
aiVisionTagging - Analyze - AI Vision Tagging
captioning - Analyze - Captioning
cldFashion - Analyze - Cld-Fashion
cldText - Analyze - Cld-Text
coco - Analyze - Coco
googleLogoDetection - Analyze - Google Logo Detection
googleTagging - Analyze - Google Tagging
humanAnatomy - Analyze - Human Anatomy
imageQuality - Analyze - Image Quality Analysis
lvis - Analyze - Lvis
shopClassifier - Analyze - Shop Classifier
unidet - Analyze - Unidet
watermarkDetection - Analyze - Watermark Detection

tasks

getStatus - Get analysis task status

Standalone functions

All the methods listed above are available as standalone functions. These functions are ideal for use in applications running in the browser, serverless runtimes or other environments where application bundle size is a primary concern. When using a bundler to build your application, all unused functionality will be either excluded from the final bundle or tree-shaken away.

To read more about standalone functions, check FUNCTIONS.md.

Available standalone functions

analyzeAiVisionGeneral - Analyze - AI Vision General
analyzeAiVisionModeration - Analyze - AI Vision Moderation
analyzeAiVisionTagging - Analyze - AI Vision Tagging
analyzeCaptioning - Analyze - Captioning
analyzeCldFashion - Analyze - Cld-Fashion
analyzeCldText - Analyze - Cld-Text
analyzeCoco - Analyze - Coco
analyzeGoogleLogoDetection - Analyze - Google Logo Detection
analyzeGoogleTagging - Analyze - Google Tagging
analyzeHumanAnatomy - Analyze - Human Anatomy
analyzeImageQuality - Analyze - Image Quality Analysis
analyzeLvis - Analyze - Lvis
analyzeShopClassifier - Analyze - Shop Classifier
analyzeUnidet - Analyze - Unidet
analyzeWatermarkDetection - Analyze - Watermark Detection
tasksGetStatus - Get analysis task status

Retries

Some of the endpoints in this SDK support retries. If you use the SDK without any configuration, it will fall back to the default retry strategy provided by the API. However, the default retry strategy can be overridden on a per-operation basis, or across the entire SDK.

To change the default retry strategy for a single API call, simply provide a retryConfig object to the call:

import { CloudinaryAnalysis } from "@cloudinary/analysis";

const cloudinaryAnalysis = new CloudinaryAnalysis({
  security: {
    cloudinaryAuth: {
      apiKey: "CLOUDINARY_API_KEY",
      apiSecret: "CLOUDINARY_API_SECRET",
    },
  },
});

async function run() {
  const result = await cloudinaryAnalysis.analyze.aiVisionGeneral({
    source: {
      uri: "https://res.cloudinary.com/demo/image/upload/sample.jpg",
    },
    prompts: [
      "Describe this image in detail",
      "Does this image contain an insect?",
    ],
  }, {
    retries: {
      strategy: "backoff",
      backoff: {
        initialInterval: 1,
        maxInterval: 50,
        exponent: 1.1,
        maxElapsedTime: 100,
      },
      retryConnectionErrors: false,
    },
  });

  console.log(result);
}

run();

If you'd like to override the default retry strategy for all operations that support retries, you can provide a retryConfig at SDK initialization:

import { CloudinaryAnalysis } from "@cloudinary/analysis";

const cloudinaryAnalysis = new CloudinaryAnalysis({
  retryConfig: {
    strategy: "backoff",
    backoff: {
      initialInterval: 1,
      maxInterval: 50,
      exponent: 1.1,
      maxElapsedTime: 100,
    },
    retryConnectionErrors: false,
  },
  security: {
    cloudinaryAuth: {
      apiKey: "CLOUDINARY_API_KEY",
      apiSecret: "CLOUDINARY_API_SECRET",
    },
  },
});

async function run() {
  const result = await cloudinaryAnalysis.analyze.aiVisionGeneral({
    source: {
      uri: "https://res.cloudinary.com/demo/image/upload/sample.jpg",
    },
    prompts: [
      "Describe this image in detail",
      "Does this image contain an insect?",
    ],
  });

  console.log(result);
}

run();

Error Handling

CloudinaryAnalysisError is the base class for all HTTP error responses. It has the following properties:

Property	Type	Description
`error.message`	`string`	Error message
`error.statusCode`	`number`	HTTP response status code eg `404`
`error.headers`	`Headers`	HTTP response headers
`error.body`	`string`	HTTP body. Can be empty string if no body is returned.
`error.rawResponse`	`Response`	Raw HTTP response
`error.data$`		Optional. Some errors may contain structured data. See Error Classes.

Example

import { CloudinaryAnalysis } from "@cloudinary/analysis";
import * as errors from "@cloudinary/analysis/models/errors";

const cloudinaryAnalysis = new CloudinaryAnalysis({
  security: {
    cloudinaryAuth: {
      apiKey: "CLOUDINARY_API_KEY",
      apiSecret: "CLOUDINARY_API_SECRET",
    },
  },
});

async function run() {
  try {
    const result = await cloudinaryAnalysis.analyze.aiVisionGeneral({
      source: {
        uri: "https://res.cloudinary.com/demo/image/upload/sample.jpg",
      },
      prompts: [
        "Describe this image in detail",
        "Does this image contain an insect?",
      ],
    });

    console.log(result);
  } catch (error) {
    // The base class for HTTP error responses
    if (error instanceof errors.CloudinaryAnalysisError) {
      console.log(error.message);
      console.log(error.statusCode);
      console.log(error.body);
      console.log(error.headers);

      // Depending on the method different errors may be thrown
      if (error instanceof errors.ErrorResponse) {
        console.log(error.data$.error); // components.ErrorObject
      }
    }
  }
}

run();

Error Classes

Primary errors:

CloudinaryAnalysisError: The base class for HTTP error responses.
- ErrorResponse: Bad request.
- RateLimitedResponseError: Rate limited. Status code 429.

Less common errors (6)

Network errors:

ConnectionError: HTTP client was unable to make a request to a server.
RequestTimeoutError: HTTP request timed out due to an AbortSignal signal.
RequestAbortedError: HTTP request was aborted by the client.
InvalidRequestError: Any input used to create a request is invalid.
UnexpectedClientError: Unrecognised or unexpected error.

Inherit from CloudinaryAnalysisError:

ResponseValidationError: Type mismatch between the data returned from the server and the structure expected by the SDK. See error.rawValue for the raw value and error.pretty() for a nicely formatted multi-line string.

Custom HTTP Client

The TypeScript SDK makes API calls using an HTTPClient that wraps the native Fetch API. This client is a thin wrapper around fetch and provides the ability to attach hooks around the request lifecycle that can be used to modify the request or handle errors and response.

The HTTPClient constructor takes an optional fetcher argument that can be used to integrate a third-party HTTP client or when writing tests to mock out the HTTP client and feed in fixtures.

The following example shows how to use the "beforeRequest" hook to to add a custom header and a timeout to requests and how to use the "requestError" hook to log errors:

import { CloudinaryAnalysis } from "@cloudinary/analysis";
import { HTTPClient } from "@cloudinary/analysis/lib/http";

const httpClient = new HTTPClient({
  // fetcher takes a function that has the same signature as native `fetch`.
  fetcher: (request) => {
    return fetch(request);
  }
});

httpClient.addHook("beforeRequest", (request) => {
  const nextRequest = new Request(request, {
    signal: request.signal || AbortSignal.timeout(5000)
  });

  nextRequest.headers.set("x-custom-header", "custom value");

  return nextRequest;
});

httpClient.addHook("requestError", (error, request) => {
  console.group("Request Error");
  console.log("Reason:", `${error}`);
  console.log("Endpoint:", `${request.method} ${request.url}`);
  console.groupEnd();
});

const sdk = new CloudinaryAnalysis({ httpClient });

Debugging

You can setup your SDK to emit debug logs for SDK requests and responses.

You can pass a logger that matches console's interface as an SDK option.

[!WARNING] Beware that debug logging will reveal secrets, like API tokens in headers, in log messages printed to a console or files. It's recommended to use this feature only during local development and not in production.

import { CloudinaryAnalysis } from "@cloudinary/analysis";

const sdk = new CloudinaryAnalysis({ debugLogger: console });

You can also enable a default debug logger by setting an environment variable CLOUDINARY_DEBUG to true.

Development

Maturity

This SDK is in beta, and there may be breaking changes between versions without a major version update. Therefore, we recommend pinning usage to a specific package version. This way, you can install the same version each time without breaking changes unless you are intentionally looking for the latest version.

Contributions

While we value open-source contributions to this SDK, this library is generated programmatically. Any manual changes added to internal files will be overwritten on the next generation. We look forward to hearing your feedback. Feel free to open a PR or an issue with a proof of concept and we'll do our best to include it in a future release.

SDK Created by Speakeasy

FAQs

What is @cloudinary/analysis?

Is @cloudinary/analysis popular?

Is @cloudinary/analysis well maintained?

Package last updated on 23 Jun 2025

Did you know?

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Install

@cloudinary/analysis