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July 15, 2025 - 10 minutes

How AI voice generators are transforming content creation

From product demos to personalized voiceovers, AI voice generators are helping creators and companies produce powerful audio content, fast and at scale.

Ironhack

Changing The Future of Tech Education

Articles by Ironhack

Artificial Intelligence

Voice is powerful. It’s what makes content human. But what if you could create realistic, engaging voiceovers in minutes, without a microphone or a studio? Welcome to the world of the AI voice generator. Whether you're building an app prototype, launching a startup, or creating a podcast intro, AI voice tools are reshaping how we bring ideas to life. VC investment in voice AI skyrocketed from US $315 million in 2022 to US $2.1 billion in 2024. This surge reflects the increasing value and trust businesses place in voice technology.

Major companies across industries are already using AI voice generators to streamline content creation and communication. Chess.com uses ElevenLabs to power a virtual chess teacher, while TIME Magazine and Perplexity AI have incorporated it into their editorial and voice assistant workflows. Play.ht is trusted by global brands including Amazon, Salesforce, and Red Bull for producing multilingual voice content across marketing and training. Meanwhile, Respeecher has made headlines in film and gaming, recreating voices for projects like Star Wars and enabling studios to generate lifelike performances ethically. These real-world use cases show how voice AI isn’t experimental, it’s already part of daily operations in media, tech, and entertainment.

In this post, we'll explore how generative AI voice tech is being used today, spotlight tools like ElevenLabs, Play.ht, and Respeecher, and give you practical tips for integrating voice AI into your daily workflow.

What is an AI voice generator?

An AI voice generator is a tool that uses machine learning to produce natural-sounding human speech from text. These tools analyze hours of recorded voice data to create synthetic voices that are almost indistinguishable from real ones.

Some platforms offer generic voices, while others let you clone your own voice or create custom avatars with personality and emotion.

This isn’t just Siri reading back a text. It’s nuanced, expressive, and in many cases, incredibly lifelike.

Why voice AI matters right now

We’re entering a new era where voice is becoming an interface, not just an output. Think about how we interact with smart assistants, podcasts, apps, and audiobooks. Voice adds emotion, context, and accessibility to digital content. 

Global adoption of voice search has surged dramatically in recent years. As of 2025, about 20.5  percent of people worldwide use voice search, up slightly from 20.3 percent in early 2024, supported by roughly 8.4 billion voice assistants in use, actually outnumbering the global population. In the U.S., around 153.5 million people rely on voice assistants, with over 86 million using Siri alone. Clearly, voice is becoming a standard part of how people access information, and that makes optimizing for it a strategic must for creators and brands alike.

Here’s how voice AI is changing the game:

  • Speed: go from idea to voiceover in minutes

  • Scalability: localize content in multiple languages with synthetic voices

  • Accessibility: add voice to apps, articles, or products for visually impaired users

  • Creativity: create characters, narrators, or branded voices for games or videos

And it’s not just startups jumping on this. Enterprises are using voice AI for training videos, product tutorials, and internal communications. Even YouTubers are using it to dub content or test voiceover concepts before recording.

Meet the tools: ElevenLabs, Play.ht, and Respeecher

Let’s take a closer look at three standout tools in the voice AI space.

ElevenLabs

ElevenLabs has set the bar for high-quality, emotionally expressive AI voice. With deep learning models trained on diverse speech patterns, their voices sound incredibly natural, even when delivering complex sentences or switching emotional tones.

Top features:

  • Hyper-realistic voice synthesis

  • Voice cloning with just a few minutes of audio

  • Multi-language support

  • Emotion control sliders

Use cases:

  • Narrating UX walkthroughs

  • Creating a product video voiceover

  • Building an audiobook with zero recording gear

Pro tip: try cloning your own voice for a personal portfolio intro or demo reel. It adds instant authenticity and shows recruiters that you went the extra mile to make your portfolio more accessible and complete. This small effort can increase the chances of your profile being remembered by recruiters and decision-makers.

Play.ht

Play.ht is known for its text-to-speech simplicity and a wide library of voices. You can pick a voice, paste your text, and download a file in seconds. It’s ideal for people who want great results without diving into too much customization.

Top features:

  • 800+ AI voices

  • Multiple accents and languages

  • Easy SSML control (change pitch, pauses, emphasis)

  • Team collaboration tools

Use cases:

  • Multilingual content for apps

  • Voiceovers for training materials

  • Audio summaries of blog posts

Quick hack: use Play.ht to turn written case studies into spoken-word recaps on your portfolio site.

Respeecher

Respeecher is best known for voice cloning and dubbing. It’s widely used in film, video games, and localization and can even recreate celebrity voices (with permission).

Top features:

  • Voice conversion (make one person sound like another)

  • Studio-grade audio output

  • Emotion mapping and style matching

Use cases:

  • Localizing a project demo into multiple languages using one original voice

  • Creating fictional voice personas for interactive apps

  • Revamping old content with new narration

Idea: use Respeecher to localize your capstone project for international audiences. It’s a smart way to impress recruiters around the globe.

How you can use AI voice tools today

Here are practical ways tech creators can use AI voice generators.

Product demos and UX prototypes

Use a tool like ElevenLabs or Play.ht to narrate your design walkthrough. This makes your Figma or coded prototype feel more polished and helps you stand out in a crowded job market.

Learning content

Build short audio explainers to help reinforce your own study material. Teaching something out loud, AI-assisted or not, is a powerful learning method.

Portfolio voiceovers

Introduce your portfolio projects with a short narrated summary. A warm voice helps recruiters connect faster than plain text.

Localization

Use multilingual voices from Play.ht or Respeecher to showcase your work to clients in different regions or languages.

Creative experiments

Want to build a voice-controlled app or a chatbot with personality? Combine voice AI with tools like GPT or a front-end framework to prototype something interactive and fun.

Real-life example: a voice-narrated capstone

In fact, real users have reported impressive results with ElevenLabs in their personal projects. For instance, developer and tech blogger Simon Willison documented how he cloned his own voice using ElevenLabs. After providing just five minutes of audio from a talk, he was able to generate synthetic narration that sounded remarkably like him: capturing his tone, pacing, and nuances and even using it alongside GPT-Vision for video demos.

Getting started: your first AI voice project

Here’s how to try AI voice without feeling overwhelmed:

  1. Pick your tool: start with Play.ht for quick wins or ElevenLabs if you want more control

  2. Write a script: keep it conversational and short. Aim for 30 to 90 seconds

  3. Choose a voice: pick a tone that matches your message. Serious, friendly, energetic?

  4. Export and test: listen on different devices to check audio quality

  5. Add it somewhere: Your site, portfolio, prototype, or even a Google Slide deck

What to watch out for

AI voice is powerful, but not perfect. Keep these in mind:

  • Ethical use: don’t clone voices without permission

  • Tone sensitivity: AI still struggles with sarcasm or subtle emotion

  • Bias and representation: voice libraries can lack diversity

  • Licensing: check if you can use the voice for commercial work

As the tech improves, so should our responsibility in using it well.

The future is talking. Are you listening?

AI voice tools are no longer future tech. They're here, usable, and powerful, especially for creators, students, and startups who want to punch above their weight.

You don’t need a recording studio to sound like a pro. You just need a script, a story, and a few clicks.

Your ideas deserve to be heard. So whether you're showcasing your work, launching a product, or building the next great app, consider adding a voice to your vision.

Because in 2025, your portfolio doesn’t just speak for itself. It actually speaks.

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