Generate Hundreds of Personalized Images in Minutes. DynaPictures is a cloud-based solution for dynamic image generation. Connect your preferred data source like Google Sheets to create personalized images and display your client names, coupons, or virtually anything else.
Emit new event when an image has been generated. See the documentation
Emit new event when you add or modify a new row in a table. See the docs here
Emit new event when new rows are returned from a custom query. See the docs here
Generates a new image by using a given image as a template. See the documentation
DynaPictures API allows users to automate image generation with dynamic content. It's useful for creating personalized images for marketing campaigns, social media, or e-commerce products. In Pipedream, you can harness DynaPictures API to build serverless workflows that trigger based on various events, manipulate and generate images, and connect with other services for a seamless automation pipeline.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
dynapictures: {
type: "app",
app: "dynapictures",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.dynapictures.com/templates`,
headers: {
Authorization: `Bearer ${this.dynapictures.$auth.api_key}`,
},
})
},
})
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.
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
};
return await this.mysql.executeQuery(queryObj);
},
});