with OCR Web Service and Google Gemini?
Generates content from text input using the Google Gemini API. See the documentation
Generates content from both text and image input using the Gemini API. See the documentation
Generate embeddings from text input using Google Gemini. See the documentation
The OCR Web Service API on Pipedream allows users to convert scanned documents, images, and PDFs into editable and searchable text formats. Leveraging OCR (Optical Character Recognition) technology, this API is powerful for extracting text data efficiently. On Pipedream, you can integrate OCR Web Service with various other platforms to automate workflows like document management, data entry, and content archiving, enhancing productivity and reducing manual errors across diverse business processes.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
ocr_web_service: {
type: "app",
app: "ocr_web_service",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.ocrwebservice.com/restservices/getAccountInformation`,
auth: {
username: `${this.ocr_web_service.$auth.username}`,
password: `${this.ocr_web_service.$auth.license_api_password}`,
},
})
},
})
The Google Gemini API is a cutting-edge tool from Google that enables developers to leverage AI models like Imagen and MusicLM to create and manipulate images and music based on textual descriptions. With Pipedream, you can harness this API to automate workflows that integrate AI-generated content into a variety of applications, from generating visuals for social media posts to composing background music for videos. Pipedream's serverless platform allows you to connect Google Gemini API with other apps to create complex, event-driven workflows without managing infrastructure.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_gemini: {
type: "app",
app: "google_gemini",
}
},
async run({steps, $}) {
const data = `{{your_promptt}}`;
//E.g. {"contents":[{"parts":[{"text":"Write a story about a magic backpack"}]}]}
return await axios($, {
method: "POST",
url: `https://generativelanguage.googleapis.com/v1beta/models/gemini-pro:generateContent`,
headers: {
"Content-Type": "application/json",
},
params: {
key: `${this.google_gemini.$auth.api_key}`,
},
data
})
},
})