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
Generates a new image by using a given image as a template. See the documentation
Convert an object to a JSON format string
Add or subtract time from a given input
Get the duration between two dates in days, hours, minutes, and seconds along with checking if they are the same.
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 Pipedream Utils app is a set of pre-built functions that streamline common tasks in your workflows. It acts like a Swiss Army knife for developers, providing essential tools such as format conversion, date manipulation, and text processing. By leveraging these functions, you can reduce the boilerplate code needed for routine operations, speeding up the development of intricate automations. The Helper Functions API can be a game changer when it comes to tasks like parsing dates in user-friendly formats, encoding and decoding data, or generating UUIDs, making them more efficient and less error-prone.
export default defineComponent({
props: {
pipedream_utils: {
type: "app",
app: "pipedream_utils",
}
},
async run({steps, $}) {
},
})