← Imagga

Analyze Image with Imagga API

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Analyze Image with the Imagga API
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Getting Started

Create a workflow to Analyze Image with the Imagga API. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

  1. Configure the Analyze Image action
    1. Connect your Imagga account
    2. Optional- Configure Image URL
    3. Optional- Configure Image File
    4. Select a Image Process Type
  2. Select a trigger to run your workflow on HTTP requests, schedules or app events
  3. Deploy the workflow
  4. Send a test event to validate your setup
  5. Turn on the trigger

Integrations

Analyze Image with Imagga API on New Requests (Payload Only) from HTTP / Webhook API
HTTP / Webhook + Imagga
 
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Analyze Image with Imagga API on New Submission from Typeform API
Typeform + Imagga
 
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Analyze Image with Imagga API on Custom Events from Zoom API
Zoom + Imagga
 
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Analyze Image with Imagga API on New Submission (Instant) from Jotform API
Jotform + Imagga
 
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Analyze Image with Imagga API on New Scheduled Tasks from Pipedream API
Pipedream + Imagga
 
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Details

This is a pre-built, source-available component from Pipedream's GitHub repo. The component is developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Analyze Image on Imagga
Description:Assign a category to a single image based on its visual content. [See the documentation](https://docs.imagga.com/?shell#categories-categorizer_id)
Version:0.0.1
Key:imagga-analyze-image

Code

import { prepareAdditionalProps } from "../../common/constants.mjs";
import { prepareFile } from "../../common/utils.mjs";
import imagga from "../../imagga.app.mjs";

export default {
  key: "imagga-analyze-image",
  name: "Analyze Image",
  description: "Assign a category to a single image based on its visual content. [See the documentation](https://docs.imagga.com/?shell#categories-categorizer_id)",
  version: "0.0.1",
  type: "action",
  props: {
    imagga,
    imageUrl: {
      propDefinition: [
        imagga,
        "imageUrl",
      ],
      optional: true,
    },
    imageFile: {
      propDefinition: [
        imagga,
        "imageFile",
      ],
      optional: true,
    },
    imageProcessType: {
      propDefinition: [
        imagga,
        "imageProcessType",
      ],
      reloadProps: true,
    },
  },
  async additionalProps() {
    return prepareAdditionalProps({
      props: imagga.propDefinitions,
      type: this.imageProcessType,
    });
  },
  async run({ $ }) {
    const {
      imagga,
      imageUrl,
      imageFile,
      language = [],
      saveIndex,
      saveId,
      extractOverallColors,
      extractObjectColors,
      deterministic,
      verbose,
      threshold,
      decreaseParents,
      categorizerId,
      overallCount,
      separatedCount,
      imageProcessType,
      taggerId,
      ...params
    } = this;

    const file = await prepareFile({
      imageUrl,
      imageFile,
      imagga,
    });

    if (typeof extractOverallColors === "boolean") params.extract_overall_colors = +extractOverallColors;
    if (typeof extractObjectColors === "boolean") params.extract_object_colors = +extractObjectColors;
    if (typeof deterministic === "boolean") params.deterministic = +deterministic;
    if (typeof verbose === "boolean") params.verbose = +verbose;
    if (typeof decreaseParents === "boolean") params["decrease_parents"] = +decreaseParents;
    if (threshold) params.threshold = parseFloat(threshold);

    const response = await imagga.analyzeImage({
      $,
      taggerId,
      imageProcessType,
      categorizerId,
      params: {
        ...params,
        ...file,
        overall_count: overallCount,
        separated_count: separatedCount,
        language: language.toString(),
        save_index: saveIndex,
        save_id: saveId,
      },
    });

    $.export("$summary", "Image successfully assigned!");
    return response;
  },
};

Configuration

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.
LabelPropTypeDescription
ImaggaimaggaappThis component uses the Imagga app.
Image URLimageUrlstring

The URL of the image to analyze.

Image FileimageFilestring

The file path from /tmp dir of the image to analyze.

Image Process TypeimageProcessTypestringSelect a value from the drop down menu:{ "label": "Tags", "value": "tags" }{ "label": "Categories", "value": "categories" }{ "label": "Colors", "value": "colors" }

Authentication

Imagga uses API keys for authentication. When you connect your Imagga account, Pipedream securely stores the keys so you can easily authenticate to Imagga APIs in both code and no-code steps.

Navigate to your dashboard, and copy your API Key and API Secret below.

About Imagga

Imagga Image Recognition API provides solutions for image tagging & categorization, visual search, content moderation.

More Ways to Use Imagga

Triggers

New Batch Processed from the Imagga API

Emit new event when a batch of images has been processed for categorization, tagging, or color extraction.

 
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Actions

Process Batch of Images with the Imagga API

Analyzes a batch of images for categorization, tagging, or color extraction. See the documentation

 
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