← Supabase + Azure AI Vision integrations

Extract Text from Image with Azure AI Vision API on New Row Added from Supabase API

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New Row Added from the Supabase API
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Extract Text from Image with the Azure AI Vision API
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Getting Started

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

  1. Select this integration
  2. Configure the New Row Added trigger
    1. Connect your Supabase account
    2. Configure Table
    3. Optional- Configure Row Identifier
    4. Optional- Configure Column
    5. Optional- Select a Filter
    6. Optional- Configure Value
    7. Configure Order By
    8. Optional- Select a Sort Order
    9. Configure timer
  3. Configure the Extract Text from Image action
    1. Connect your Azure AI Vision account
    2. Configure Image URL
    3. Optional- Select a Language
  4. Deploy the workflow
  5. Send a test event to validate your setup
  6. 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

Description:Emit new event for every new row added in a table. [See documentation here](https://supabase.com/docs/reference/javascript/select)
Version:0.0.4
Key:supabase-new-row-added

Supabase Overview

Supabase is a real-time backend-as-a-service that provides developers with a suite of tools to quickly build and scale their applications. It offers database storage, authentication, instant APIs, and real-time subscriptions. With the Supabase API, you can perform CRUD operations on your database, manage users, and listen to database changes in real time. When integrated with Pipedream, you can automate workflows that react to these database events, synchronize data across multiple services, or streamline user management processes.

Trigger Code

import base from "../common/base.mjs";
import {
  DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
  ConfigurationError,
} from "@pipedream/platform";
import constants from "../../common/constants.mjs";

export default {
  key: "supabase-new-row-added",
  name: "New Row Added",
  description: "Emit new event for every new row added in a table. [See documentation here](https://supabase.com/docs/reference/javascript/select)",
  version: "0.0.4",
  type: "source",
  props: {
    ...base.props,
    column: {
      propDefinition: [
        base.props.supabase,
        "column",
      ],
      optional: true,
    },
    filter: {
      propDefinition: [
        base.props.supabase,
        "filter",
      ],
      optional: true,
    },
    value: {
      propDefinition: [
        base.props.supabase,
        "value",
      ],
      optional: true,
    },
    orderBy: {
      propDefinition: [
        base.props.supabase,
        "column",
      ],
      label: "Order By",
      description: "Column name to order by",
    },
    sortOrder: {
      propDefinition: [
        base.props.supabase,
        "sortOrder",
      ],
    },
    db: "$.service.db",
    timer: {
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
  },
  methods: {
    _getOffset() {
      return this.db.get("offset") || 0;
    },
    _setOffset(offset) {
      this.db.set("offset", offset);
    },
  },
  async run() {
    const {
      table,
      column,
      filter,
      value,
      orderBy,
      sortOrder,
      rowIdentifier,
    } = this;

    if ((column || filter || value) && !(column && filter && value)) {
      throw new ConfigurationError("If `column`, `filter`, or `value` is used, all three must be entered");
    }

    const offset = this._getOffset();
    const client = await this.supabase._client();
    const query = client
      .from(table)
      .select()
      .order(orderBy, {
        ascending: sortOrder,
      })
      .range(offset, offset + constants.MAX_OFFSET);

    if (filter) {
      const filterMethod = this.supabase[filter];
      filterMethod(query, column, value);
    }

    const { data } = await query;
    this._setOffset(offset + data.length);

    for (const row of data) {
      let summary = "New row in table";
      if (row[rowIdentifier]) {
        summary = `${summary}: ${row[rowIdentifier]}`;
      }
      this.$emit(row, {
        summary,
      });
    }
  },
};

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.
LabelPropTypeDescription
SupabasesupabaseappThis component uses the Supabase app.
Tabletablestring

The name of the table to watch for new rows

Row IdentifierrowIdentifierstring

The column name to use as the row identifier

Columncolumnstring

Column name to search by

FilterfilterstringSelect a value from the drop down menu:{ "label": "Equal", "value": "equalTo" }{ "label": "Not Equal", "value": "notEqualTo" }{ "label": "Greater Than", "value": "greaterThan" }{ "label": "Greater Than or Equal To", "value": "greaterThanOrEqualTo" }{ "label": "Less Than", "value": "lessThan" }{ "label": "Less Than or Equal To", "value": "lessThanOrEqualTo" }{ "label": "Contains (Case Sensitive)", "value": "patternMatch" }{ "label": "Contains (Case Insensitive)", "value": "patternMatchCaseInsensitive" }
Valuevaluestring

Value of the column specified to search for

Order ByorderBystring

Column name to order by

Sort OrdersortOrderstringSelect a value from the drop down menu:ascendingdescending
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
timer$.interface.timer

Trigger Authentication

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

Supabase provides a Service Key to get started. You can find the service_role in the API Settings page.

Finding the Supabase subdomain

About Supabase

Supabase is an open source Firebase alternative.

Action

Description:Extracts text from the provided image using Azure AI Vision OCR. [See the documentation](https://centraluseuap.dev.cognitive.microsoft.com/docs/services/unified-vision-apis-public-preview-2023-02-01-preview/operations/61d65934cd35050c20f73ab6)
Version:0.0.1
Key:azure_ai_vision-extract-text-from-image

Azure AI Vision Overview

The Azure AI Vision API provides powerful image analysis capabilities, enabling you to extract information and insights from your visual data. With this API, you can perform tasks like image classification, object detection, and OCR (Optical Character Recognition) to recognize text within images. Leveraging Pipedream, you can integrate these AI-powered insights into your workflows to create dynamic and automated processes.

Action Code

import azureAiVision from "../../azure_ai_vision.app.mjs";

export default {
  key: "azure_ai_vision-extract-text-from-image",
  name: "Extract Text from Image",
  description: "Extracts text from the provided image using Azure AI Vision OCR. [See the documentation](https://centraluseuap.dev.cognitive.microsoft.com/docs/services/unified-vision-apis-public-preview-2023-02-01-preview/operations/61d65934cd35050c20f73ab6)",
  version: "0.0.1",
  type: "action",
  props: {
    azureAiVision,
    image: {
      propDefinition: [
        azureAiVision,
        "image",
      ],
    },
    language: {
      propDefinition: [
        azureAiVision,
        "language",
      ],
      optional: true,
    },
  },
  async run({ $ }) {
    const response = await this.azureAiVision.analyzeImage({
      $,
      data: {
        url: this.image,
      },
      params: {
        "features": "read",
        "language": this.language,
      },
    });

    $.export("$summary", "Successfully extracted text from image");
    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.

LabelPropTypeDescription
Azure AI VisionazureAiVisionappThis component uses the Azure AI Vision app.
Image URLimagestring

The URL of the image from which you want to extract text.

LanguagelanguagestringSelect a value from the drop down menu:{ "label": "English", "value": "en" }{ "label": "Chinese Simplified", "value": "zh-Hans" }{ "label": "French", "value": "fr" }{ "label": "German", "value": "de" }{ "label": "Italian", "value": "it" }{ "label": "Japanese", "value": "ja" }{ "label": "Korean", "value": "ko" }{ "label": "Portuguese", "value": "pt" }{ "label": "Spanish", "value": "es" }

Action Authentication

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

To retrieve your Endpoint and Subscription Key,

  • Navigate to your Azure Portal and sign in,
  • Click on "All resources" and look for your Azure AI Vision resource
  • Go to "Resource Management" > "Keys and endpoint"
  • Hit "Show Keys" to display your subscription keys

About Azure AI Vision

Azure AI Vision is a unified service that offers innovative computer vision capabilities. Give your apps the ability to analyze images, read text, and detect faces with prebuilt image tagging, text extraction with optical character recognition (OCR), and responsible facial recognition. Incorporate vision features into your projects with no machine learning experience required.

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