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How to Extract Emotions from Sales Calls with a Single Line of Code

Find whether your customers are happy, angry or sad at scale. One AI lets you extract speaker emotions from sales calls automatically. Our state-of-the-art Language AI models are trained on real sales calls from companies of all sizes.
Use Language Skill

Emotions

Detect what feelings your text conveys
With Text Input

Sales calls

Analyze sales calls for emotions and more insights
import oneai oneai.api_key = "CLICK_TO_GET_YOUR_API_KEY" pipeline = oneai.Pipeline(steps=[ oneai.skills.Emotions(), ]) 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": "Emotions" }] }'
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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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