Image enhancement powered by AI
Create a new document in a collection of your choice. See the docs here
Execute an aggregation pipeline on a MongoDB collection. See the documentation
The Let's Enhance API provides a powerful way to upscale and enhance images through AI-driven processes, directly accessible via Pipedream. By using this API, developers can automate the enhancement of images, whether it’s for refining product photos for an e-commerce platform or improving user-generated content for better display across digital mediums. This API's capabilities can be integrated into a myriad of workflows where image quality is paramount.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
let_s_enhance: {
type: "app",
app: "let_s_enhance",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.letsenhance.ai/v1.95/op/upscale`,
headers: {
"x-api-key": `${this.let_s_enhance.$auth.api_key}`,
},
params: {
url: `https://res-5.cloudinary.com/crunchbase-production/image/upload/c_lpad,f_auto,q_auto:eco/tnorenk8asjwdh1o8iuu`,
},
})
},
})
The MongoDB API provides powerful capabilities to interact with a MongoDB database, allowing you to perform CRUD (Create, Read, Update, Delete) operations, manage databases, and execute sophisticated queries. With Pipedream, you can harness these abilities to automate tasks, sync data across various apps, and react to events in real-time. It’s a combo that’s particularly potent for managing data workflows, syncing application states, or triggering actions based on changes to your data.
import mongodb from 'mongodb'
export default defineComponent({
props: {
mongodb: {
type: "app",
app: "mongodb",
},
collection: {
type: "string"
},
filter: {
type: "object"
}
},
async run({steps, $}) {
const MongoClient = mongodb.MongoClient
const {
database,
hostname,
username,
password,
} = this.mongodb.$auth
const url = `mongodb+srv://${username}:${password}@${hostname}/test?retryWrites=true&w=majority`
const client = await MongoClient.connect(url, {
useNewUrlParser: true,
useUnifiedTopology: true
})
const db = client.db(database)
const results = await db.collection(this.collection).find(this.filter).toArray();
$.export('results', results);
await client.close()
},
})