Typeform
Typeform lets you build no-code forms, quizzes, and surveys - and get more responses.
Integrate the Typeform API with the Plate Recognizer API
Setup the Typeform API trigger to run a workflow which integrates with the Plate Recognizer API. Pipedream's integration platform allows you to integrate Typeform and Plate Recognizer remarkably fast. Free for developers.
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Popular Ways to Connect Typeform with Plate Recognizer#
Overview of Typeform#
The Typeform API furnishes you with the means to create dynamic forms and collect user responses in real-time. By leveraging this API within Pipedream's serverless platform, you can automate workflows to process this data, integrate seamlessly with other services, and react to form submissions instantaneously. This empowers you to craft tailored responses, synchronize with databases, trigger email campaigns, or even manage event registrations without manual intervention.
Connect Typeform#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
typeform: {
type: "app",
app: "typeform",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.typeform.com/me`,
headers: {
Authorization: `Bearer ${this.typeform.$auth.oauth_access_token}`,
},
})
},
})
Overview of Plate Recognizer#
The Plate Recognizer API provides robust tools for converting images of vehicle license plates into text data. Using Pipedream, you can harness this capability to automate various tasks involving vehicle identification and monitoring. This integration is particularly useful in scenarios involving security, parking management, and logistics optimization, where automated plate recognition can streamline operations significantly.
Connect Plate Recognizer#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
platerecognizer: {
type: "app",
app: "platerecognizer",
}
},
async run({steps, $}) {
const data = {
"upload_url": `https://app.platerecognizer.com/static/demo.jpg`,
}
return await axios($, {
method: "post",
url: `https://api.platerecognizer.com/v1/plate-reader/`,
headers: {
"Authorization": `Token ${this.platerecognizer.$auth.api_token}`,
},
data,
})
},
})
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