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.

Integrate the Azure AI Vision API with the MySQL API

Setup the Azure AI Vision API trigger to run a workflow which integrates with the MySQL API. Pipedream's integration platform allows you to integrate Azure AI Vision and MySQL remarkably fast. Free for developers.

Extract Text from Image with Azure AI Vision API on New Column from MySQL API
MySQL + Azure AI Vision
 
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Extract Text from Image with Azure AI Vision API on New or Updated Row from MySQL API
MySQL + Azure AI Vision
 
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Extract Text from Image with Azure AI Vision API on New Row (Custom Query) from MySQL API
MySQL + Azure AI Vision
 
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Extract Text from Image with Azure AI Vision API on New Row from MySQL API
MySQL + Azure AI Vision
 
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Extract Text from Image with Azure AI Vision API on New Table from MySQL API
MySQL + Azure AI Vision
 
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New Column from the MySQL API

Emit new event when you add a new column to a table. See the docs here

 
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New or Updated Row from the MySQL API

Emit new event when you add or modify a new row in a table. See the docs here

 
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New Row from the MySQL API

Emit new event when you add a new row to a table. See the docs here

 
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New Row (Custom Query) from the MySQL API

Emit new event when new rows are returned from a custom query. See the docs here

 
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New Table from the MySQL API

Emit new event when a new table is added to a database. See the docs here

 
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Extract Text from Image with the Azure AI Vision API

Extracts text from the provided image using Azure AI Vision OCR. See the documentation

 
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Create Row with the MySQL API

Adds a new row. See the docs here

 
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Delete Row with the MySQL API

Delete an existing row. See the docs here

 
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Execute Query with the MySQL API

Find row(s) via a custom query. See the docs here

 
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Execute Raw Query with the MySQL API

Find row(s) via a custom raw query. See the documentation

 
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Overview of Azure AI Vision

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.

Connect Azure AI Vision

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    azure_ai_vision: {
      type: "app",
      app: "azure_ai_vision",
    }
  },
  async run({steps, $}) {
    const data = {
      "url": `https://images.unsplash.com/photo-1528459199957-0ff28496a7f6`, //e.g. https://images.unsplash.com/photo-1528459199957-0ff28496a7f6
    }    
    return await axios($, {
      method: "POST",
      url: `${this.azure_ai_vision.$auth.endpoint}computervision/imageanalysis:analyze`,
      params: {
        "api-version": `2023-02-01-preview`,
        features: `read`, //e.g. read
      },
      headers: {
        "Ocp-Apim-Subscription-Key": `${auths.azure_ai_vision.subscription_key}`,
      },
      data,      
    })
  },
})

Overview of MySQL

The MySQL application on Pipedream enables direct interaction with your MySQL databases, allowing you to perform CRUD operations—create, read, update, delete—on your data with ease. You can leverage these capabilities to automate data synchronization, report generation, and event-based triggers that kick off workflows in other apps. With Pipedream's serverless platform, you can connect MySQL to hundreds of other services without managing infrastructure, crafting complex code, or handling authentication.

Connect MySQL

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import mysql from '@pipedream/mysql';

export default defineComponent({
  props: {
    mysql,
  },
  async run({steps, $}) {
    // Component source code:
    // https://github.com/PipedreamHQ/pipedream/tree/master/components/mysql

    const queryObj = {
      sql: "SELECT NOW()",
      values: [], // Ignored since query does not contain placeholders
    };
    const { rows } = await this.mysql.executeQuery(queryObj);
    return rows;
  },
});