with Microsoft Excel and Azure AI Vision?
Emit new event when when a specific cell's value changes in an Excel worksheet
Emit new event when when a new row is added to an Excel worksheet
Emit new event when a new Excel spreadsheet is created.
Emit new event when an Excel spreadsheet is updated.
Adds rows to the end of specific table. See the documentation
Extracts text from the provided image using Azure AI Vision OCR. See the documentation
Insert a new row into a specified Excel worksheet. See the documentation
Find a row by column and value in an Excel worksheet. See the documentation
Get the values of the specified columns in an Excel worksheet. See the documentation
The Microsoft Excel API on Pipedream allows you to automate spreadsheet tasks, manipulate data, and integrate Excel with other apps and services. Through Pipedream, you can create serverless workflows that react to events, perform operations on Excel files like reading, writing, updating cells, and managing worksheets. This API turns Excel into a powerful tool for data analysis, report generation, and task automation without manual intervention.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
microsoft_excel: {
type: "app",
app: "microsoft_excel",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://graph.microsoft.com/v1.0/me`,
headers: {
Authorization: `Bearer ${this.microsoft_excel.$auth.oauth_access_token}`,
},
})
},
})
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.
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,
})
},
})