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HOW TO EXTRACT TOPICS FROM TEXT IN MINUTES

One AI lets you extract topics from text automatically with a few lines of code. Text topic analytics, powered by Language AI models trained on millions of videos, podcasts, and articles.
Use Language Skill

Topics

Identify topics discussed in articles and conversations
With Text Input

Text

Analyze emails, chats, documents, reviews, transcripts, and tweets
import oneai oneai.api_key = "CLICK_TO_GET_YOUR_API_KEY" pipeline = oneai.Pipeline(steps=[ oneai.skills.Topics(), ]) output = pipeline.run("your_input_here") print(output)
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import OneAI from 'oneai'; const oneai = new OneAI({apiKey: 'CLICK_TO_GET_YOUR_API_KEY'}); const pipeline = new oneai.Pipeline( oneai.skills.(), ); const output = await pipeline.run('your_input_here'); console.log(output);
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curl -X POST \ 'https://api.oneai.com/api/v0/pipeline' \ -H 'accept: application/json' \ -H 'Content-Type: application/json' \ -H 'api-key: CLICK_TO_GET_YOUR_API_KEY' \ -d '{ "input": "your_input_here", "steps": [{ "skill": "Topics" }] }'
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01.
Build & Test your Language AI Pipeline in the Playground
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02.
Use the pipeline in your code
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Python
Javascript
cURL
import oneai oneai.api_key = "CLICK_TO_GET_YOUR_API_KEY" pipeline = oneai.Pipeline(steps=[ oneai.skills.Transcribe(), ]) output = pipeline.run("your_input_here") print(output)
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import OneAI from 'oneai'; const oneai = new OneAI({apiKey: 'CLICK_TO_GET_YOUR_API_KEY'}); const pipeline = new oneai.Pipeline( oneai.skills.transcribe(), ); const output = await pipeline.run('your_input_here'); console.log(output);
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curl -X POST \ 'https://api.oneai.com/api/v0/pipeline' \ -H 'accept: application/json' \ -H 'Content-Type: application/json' \ -H 'api-key: CLICK_TO_GET_YOUR_API_KEY' \ -d '{ "input": "your_input_here", "steps": [{ "skill": "transcribe" }] }'
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