Image Background Removal with Runware API on New Submission (Instant) from Jotform API

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New Submission (Instant) from the Jotform API

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Image Background Removal with the Runware API

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Getting Started#

This integration creates a workflow with a Jotform trigger and Runware action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Submission (Instant) trigger
1. Connect your Jotform account
2. Optional- Select a Team
3. Select a Form
Configure the Image Background Removal action
1. Connect your Runware account
2. Configure Input Image
3. Optional- Select a Output Type
4. Optional- Select a Output Format
5. Optional- Configure Include Cost
6. Optional- Configure RGB
7. Optional- Configure Post-Process Mask
8. Optional- Configure Return Only Mask
9. Optional- Configure Alpha Matting
10. Optional- Configure Alpha Matting Foreground Threshold
11. Optional- Configure Alpha Matting Background Threshold
12. Optional- Configure Alpha Matting Erode Size
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Details#

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are 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.

Trigger#

New Submission (Instant) on Jotform

Description:Emit new event when a form is submitted

Version:0.1.5

Key:jotform-new-submission

View on GitHub

Jotform Overview#

Jotform’s API is a powerhouse for automating form and survey data management. With Pipedream, harness this API to trigger workflows from new form submissions, manipulate and analyze your form data, and sync it across various platforms. Think streamlined data entry to CRMs, instant notifications for new leads or feedback, and timely data backups to cloud storage.

Trigger Code#

import jotform from "../../jotform.app.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  key: "jotform-new-submission",
  name: "New Submission (Instant)",
  description: "Emit new event when a form is submitted",
  version: "0.1.5",
  type: "source",
  dedupe: "unique",
  props: {
    jotform,
    http: "$.interface.http",
    teamId: {
      propDefinition: [
        jotform,
        "teamId",
      ],
    },
    formId: {
      propDefinition: [
        jotform,
        "formId",
        (c) => ({
          teamId: c.teamId,
          excludeDeleted: true,
        }),
      ],
    },
  },
  hooks: {
    async deploy() {
      const { content: form } = await this.jotform.getForm(this.formId, this.teamId);
      const { content: submissions } = await this.jotform.getFormSubmissions({
        formId: this.formId,
        teamId: this.teamId,
        params: {
          limit: 25,
          orderby: "created_at",
        },
      });
      for (let submission of submissions.reverse()) {
        const meta = {
          id: submission.id,
          summary: form.title,
          ts: Date.now(),
        };
        this.$emit(submission, meta);
      }
    },
    async activate() {
      return (await this.jotform.createHook({
        endpoint: this.http.endpoint,
        formId: this.formId,
        teamId: this.teamId,
      }));
    },
    async deactivate() {
      return (await this.jotform.deleteHook({
        endpoint: this.http.endpoint,
        formId: this.formId,
        teamId: this.teamId,
      }));
    },
  },
  async run(event) {
    const { body } = event;
    let { content: submission } = await this.jotform.getFormSubmission({
      submissionId: body.submissionID,
      teamId: this.teamId,
    });

    // insert answers from the webhook event
    const rawRequest = JSON.parse(body.rawRequest);
    for (const key of Object.keys(rawRequest)) {
      const regex = /^q(\d+)_/;
      const match = key.match(regex);
      if (match && match[1]) {
        submission.answers[match[1]].answer = rawRequest[key];
      }
    }

    this.$emit(submission, {
      summary: body.formTitle || JSON.stringify(body),
      id: body.submissionID,
      ts: Date.now(),
    });
  },
  sampleEmit,
};

Trigger 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.

Label	Prop	Type	Description
Jotform	`jotform`	`app`	This component uses the Jotform app.
N/A	`http`	`$.interface.http`	This component uses `$.interface.http` to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the `run()` method of the component.
Team	`teamId`	`string`	Select a value from the drop down menu.
Form	`formId`	`string`	Select a value from the drop down menu.

Trigger Authentication#

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

About Jotform#

Jotform enables you to create online forms, collect responses directly in your email, and create fillable PDF forms.

Action#

Image Background Removal on Runware

Description:Request an image background removal task to be processed by the Runware API. [See the documentation](https://docs.runware.ai/en/image-editing/background-removal).

Version:0.0.1

Key:runware-image-background-removal

View on GitHub

Action Code#

import { ConfigurationError } from "@pipedream/platform";
import { v4 as uuid } from "uuid";
import app from "../../runware.app.mjs";
import constants from "../../common/constants.mjs";
import utils from "../../common/utils.mjs";

export default {
  key: "runware-image-background-removal",
  name: "Image Background Removal",
  description: "Request an image background removal task to be processed by the Runware API. [See the documentation](https://docs.runware.ai/en/image-editing/background-removal).",
  version: "0.0.1",
  type: "action",
  props: {
    app,
    inputImage: {
      propDefinition: [
        app,
        "inputImage",
      ],
    },
    outputType: {
      propDefinition: [
        app,
        "outputType",
      ],
    },
    outputFormat: {
      propDefinition: [
        app,
        "outputFormat",
      ],
    },
    includeCost: {
      propDefinition: [
        app,
        "includeCost",
      ],
    },
    rgb: {
      type: "string[]",
      label: "RGB",
      description: "An array representing the `[red, green, blue]` values that define the color of the removed background. Eg. `[255, 255, 255]`.",
      optional: true,
    },
    postProcessMask: {
      type: "boolean",
      label: "Post-Process Mask",
      description: "Flag indicating whether to post-process the mask. Controls whether the mask should undergo additional post-processing. This step can improve the accuracy and quality of the background removal mask.",
      optional: true,
    },
    returnOnlyMask: {
      type: "boolean",
      label: "Return Only Mask",
      description: "Flag indicating whether to return only the mask. The mask is the opposite of the image background removal.",
      optional: true,
    },
    alphaMatting: {
      type: "boolean",
      label: "Alpha Matting",
      description: "Flag indicating whether to use alpha matting. Alpha matting is a post-processing technique that enhances the quality of the output by refining the edges of the foreground object.",
      optional: true,
    },
    alphaMattingForegroundThreshold: {
      type: "integer",
      label: "Alpha Matting Foreground Threshold",
      description: "Threshold value used in alpha matting to distinguish the foreground from the background. Adjusting this parameter affects the sharpness and accuracy of the foreground object edges. Eg. `240`.",
      optional: true,
      min: 1,
      max: 255,
    },
    alphaMattingBackgroundThreshold: {
      type: "integer",
      label: "Alpha Matting Background Threshold",
      description: "Threshold value used in alpha matting to refine the background areas. It influences how aggressively the algorithm removes the background while preserving image details. The higher the value, the more computation is needed and therefore the more expensive the operation is. Eg. `10`.",
      optional: true,
      min: 1,
      max: 255,
    },
    alphaMattingErodeSize: {
      type: "integer",
      label: "Alpha Matting Erode Size",
      description: "Specifies the size of the erosion operation used in alpha matting. Erosion helps in smoothing the edges of the foreground object for a cleaner removal of the background. Eg. `10`.",
      optional: true,
      min: 1,
      max: 255,
    },
  },
  methods: {
    getRGBA(rgb, alpha = 0) {
      if (rgb) {
        const parsed = utils.parseArray(rgb).map((value) => parseInt(value, 10));
        return parsed.concat(alpha);
      }
    },
  },
  async run({ $ }) {
    const {
      app,
      getRGBA,
      inputImage,
      outputType,
      outputFormat,
      includeCost,
      rgb,
      postProcessMask,
      returnOnlyMask,
      alphaMatting,
      alphaMattingForegroundThreshold,
      alphaMattingBackgroundThreshold,
      alphaMattingErodeSize,
    } = this;

    if (rgb && utils.parseArray(rgb).length !== 3) {
      throw new ConfigurationError("The **RGB** array must contain exactly 3 integer numbers. Eg. `[255, 255, 255]`.");
    }

    const response = await app.post({
      $,
      data: [
        {
          taskType: constants.TASK_TYPE.IMAGE_BACKGROUND_REMOVAL.value,
          taskUUID: uuid(),
          inputImage,
          outputType,
          outputFormat,
          includeCost,
          rgba: getRGBA(rgb),
          postProcessMask,
          returnOnlyMask,
          alphaMatting,
          alphaMattingForegroundThreshold,
          alphaMattingBackgroundThreshold,
          alphaMattingErodeSize,
        },
      ],
    });

    $.export("$summary", `Successfully requested image background removal task with UUID \`${response.data[0].taskUUID}\`.`);
    return response;
  },
};

Action Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

Label	Prop	Type	Description
Runware	`app`	`app`	This component uses the Runware app.
Input Image	`inputImage`	`string`	Specifies the input image to be processed. The image can be specified in one of the following formats: An UUID v4 string of a previously uploaded image or a generated image. A data URI string representing the image. The data URI must be in the format `data:<mediaType>;base64,` followed by the base64-encoded image. For example: `data:image/png;base64,iVBORw0KGgo...`. A base64 encoded image without the data URI prefix. For example: `iVBORw0KGgo...`. A URL pointing to the image. The image must be accessible publicly. Supported formats are: PNG, JPG and WEBP.
Output Type	`outputType`	`string`	Select a value from the drop down menu:`base64DatadataURIURL`
Output Format	`outputFormat`	`string`	Select a value from the drop down menu:`PNGJPGWEBP`
Include Cost	`includeCost`	`boolean`	If set to `true`, the cost to perform the task will be included in the response object. Defaults to `false`.
RGB	`rgb`	`string[]`	An array representing the `[red, green, blue]` values that define the color of the removed background. Eg. `[255, 255, 255]`.
Post-Process Mask	`postProcessMask`	`boolean`	Flag indicating whether to post-process the mask. Controls whether the mask should undergo additional post-processing. This step can improve the accuracy and quality of the background removal mask.
Return Only Mask	`returnOnlyMask`	`boolean`	Flag indicating whether to return only the mask. The mask is the opposite of the image background removal.
Alpha Matting	`alphaMatting`	`boolean`	Flag indicating whether to use alpha matting. Alpha matting is a post-processing technique that enhances the quality of the output by refining the edges of the foreground object.
Alpha Matting Foreground Threshold	`alphaMattingForegroundThreshold`	`integer`	Threshold value used in alpha matting to distinguish the foreground from the background. Adjusting this parameter affects the sharpness and accuracy of the foreground object edges. Eg. `240`.
Alpha Matting Background Threshold	`alphaMattingBackgroundThreshold`	`integer`	Threshold value used in alpha matting to refine the background areas. It influences how aggressively the algorithm removes the background while preserving image details. The higher the value, the more computation is needed and therefore the more expensive the operation is. Eg. `10`.
Alpha Matting Erode Size	`alphaMattingErodeSize`	`integer`	Specifies the size of the erosion operation used in alpha matting. Erosion helps in smoothing the edges of the foreground object for a cleaner removal of the background. Eg. `10`.

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Popular Triggers#

New Submission (Instant) from the Jotform API

Emit new event when a form is submitted

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Popular Actions#

Get Form Submissions with the Jotform API

Gets a list of form responses See the docs here

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Get Monthly User Usage with the Jotform API

Gets number of form submissions received this month. Also, get number of SSL form submissions, payment form submissions and upload space used by user See the docs here

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Get User Submissions with the Jotform API

Gets a list of all submissions for all forms on the account See the docs here

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Image Background Removal with the Runware API

Request an image background removal task to be processed by the Runware API. See the documentation.

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Image Caption with the Runware API

Request an image caption task to be processed by the Runware API. See the documentation.

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