When to use Text Analysis vs AI Chat

A guide to choosing between Text Analysis and AI Chat depending on what you need from your audio or text content.

Written By Umakhan Magomedov

Last updated 4 days ago

Both Text Analysis and AI Chat can work with audio and text, but they serve different needs. This article helps you decide which tool fits your task.

Text Analysis

Text Analysis gives a fixed structured output in one step: topic, key points, tone, speech features and a summary. You do not need to write a prompt or ask questions.

Use Text Analysis when:

  • You need a quick structured overview of audio or text content

  • You want the same consistent output every time (topic, key points, tone, summary)

  • You are processing multiple recordings and need a repeatable workflow

  • You do not need to ask follow-up questions


AI Chat

AI Chat is an interactive conversation where you can ask any question, request specific formats or explore content in depth. You control what you get.

Use AI Chat when:

  • You want to ask specific questions about the content

  • You need a custom output format (bullet list, email, report, table)

  • You want to dig deeper into one particular topic from the recording

  • You need to extract action items, names, decisions or other specific details

  • You want to continue exploring after reading a transcript


Quick comparison

Criteria

Text Analysis

AI Chat

Output type

Fixed structure (5 sections)

Custom, free-form

Input required

Upload file or paste text

Write a message or upload file

Follow-up questions

Not supported

Yes, unlimited

Best for

Quick overview, repeatable workflow

Deep exploration, custom output

Token cost

Low (STT + analysis)

Varies by model and message length


Combining both tools

A common workflow: use Text Analysis to get a quick structured overview, then paste the transcript or the summary into AI Chat to explore specific parts further. This avoids paying for a full AI conversation when a structured overview is enough.


Frequently asked questions

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