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Text to Audio

A tool that takes text — an article, notes, a book chapter — and turns it into an audio file you can listen to on your phone or in the car. In whatever language you want. Perfect for studying, accessibility, or turning your own materials into audiobooks.

  • Generate high-quality audio from text, locally and in multiple languages.
  • Produce downloadable MP3 files.
  • Choose the right voice and language.

Key concepts

This is pure TTS (text-to-speech) — no microphone, no language model: just text in and audio out.

Which tools to use (2026)

  • Kokoro — lightweight, fast on CPU, good quality, multilingual. A great starting point.
  • MagpieTTS — production-quality voices in 9 languages (including Spanish); works best with a GPU.
  • F5-TTS — if you want to clone a specific voice from a sample.

Step by step

Terminal
cd ~/proyectos-ia
mkdir texto-a-audio
cd texto-a-audio
claude

Run it on your computer

Terminal
npm install
npm run dev

Paste a paragraph, choose language and voice, and generate the audio.

If something goes wrong

  • Wrong-language voice — select the correct voice for that language; not every voice speaks every language.
  • Cuts off on long texts — confirm the app splits and stitches chunks; if not, ask Claude Code to add that.
  • Sounds metallic — try MagpieTTS for higher quality (works best with a GPU).

Practice challenge

Add a "podcast mode": have two different voices read a dialogue, alternating lines. Ideal for more engaging educational material.

Complete Aulafy mapSee how this lesson fits without leaving your path.

Complete Aulafy map

How all courses connect

This is not a checklist. Start with the foundation, choose an outcome, and go deeper only when your project needs more control.

  1. 1Understand
  2. 2Apply or build
  3. 3Operate with confidence
01

Choose an application

Turn the foundation into a visible outcome: a website, a business improvement, media, or an interactive experience.

Continue into the technical branch when you need to maintain code, data, or infrastructure.

02

Build with code

Prepare your environment, work with coding agents, and run models while keeping control of your projects.

This branch prepares you to design and operate reliable AI systems.

03

Take systems to production

Combine retrieval, agents, evaluation, security, deployment, and model adaptation when the problem requires it.

You do not need every course: choose the component your system needs and return as it grows.

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