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What is Voice to Text?

Technology that converts spoken words into digital text by analyzing sound waves.

Overview

This technology takes the audio signals from your microphone and converts them first into small snippets of sound, and then into words and sentences. Today, thanks to deep learning models, it has become able to distinguish accents, intonations and even background noise.

Analogy: Imagine having a very fast secretary next to you who quickly takes notes while you are talking, never gets tired and puts everything she hears on paper.

How it works

Voice data enters the system, the artificial intelligence model finds which word this voice corresponds to by probability calculations and presents it to you as text.

Where it is used

It is used in automatic extraction of meeting notes, voice assistants, and captioning tools.

Commonly confused with

It is mixed with Text-to-Speech (converting text to speech); This is the exact opposite process.

Frequently asked questions

Is there any margin of error?

Yes, he may choose the wrong words, especially in very noisy environments or when spoken too quickly.

Does it work in all languages?

Modern models support most languages, but the success rate is lower in languages ​​with little training data.

Related terms

Related tools

This explanation was written in plain language for TreScout and machine-translated from the Turkish original · the Turkish version prevails. If something looks wrong or missing, write to hello@trescout.com. Read in Turkish →