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Text to Speech AIAI text-to-speech with multi-speaker dialogue and emotion control.

4.8 (4)
Daniel NikulshynReviewed by Daniel Nikulshyn·Updated July 2026

Overview

Text to Speech AI is an AI-powered tool that generates natural-sounding audio from text scripts. It allows for multi-speaker dialogue, emotion control, and support for 75 languages with Auto Detect mode. Users can assign different voices to each speaker and add Audio Tags for emotion and sound effects, making it ideal for podcast scripts, character dialogue, and e-learning scenarios. The tool also features a voice library with audio previews, allowing users to browse and select the right voice for their content. By using AI TTS, users can generate natural text to speech from any script in seconds, at any scale, without the need for expensive recording studios or voice actors.

Key features

  • Text-to-speech voice generation
  • Multi-speaker dialogue creation
  • Emotion and tone adjustment
  • Multiple voice options
  • Audio export for media projects
  • Script-based voice assignment

Pricing

Model
Free
Rating
4.8 / 5 (4)

Use cases

Podcast and Interview Production

Generate multi-speaker podcast episodes or simulated interviews by assigning different voices to each line of a script, with emotion control for natural delivery.

E-Learning Narration

Create engaging voiceovers for online courses and training modules, using tone adjustments to keep learners attentive across long lessons.

Video Voiceovers and Prototypes

Produce narration tracks for explainer videos, ads, or early-stage prototypes without hiring voice actors, exporting audio directly into media projects.

Accessibility and Audiobook Creation

Convert written articles, documents, or books into spoken audio to support visually impaired users or audiobook listeners with expressive, natural voices.

Pros & Cons

Pros

  • Multi-speaker support for dialogue scenes
  • Emotion and tone controls for expressive output
  • Useful for video, podcasts, and e-learning
  • Natural-sounding AI voices

Cons

  • Quality may vary across languages and accents
  • Emotion control can require trial and error
  • Limited offline or self-hosted options
  • Long scripts may need careful pacing adjustments

Reviews

4.8

Average from 4 ratings.

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Pierre Dubois

Pierre Dubois

May 4, 2026

Solid for our team

We rolled this out across the team last quarter and multi-speaker support for dialogue scenes. Audio export for media projects fits neatly into how we already work, and emotion and tone adjustment removed a step we used to do by hand. Quality may vary across languages and accents, which is the main caveat, but it has held up under daily use.

CL

Camille Laurent

Sep 10, 2025

Use it every day

Honestly didn't expect to like it this much. Audio export for media projects is exactly what I needed, and natural-sounding AI voices. but I reach for it almost every day now and it just clicks.

WC

Wei Chen

Aug 18, 2025

Solid for our team

We rolled this out across the team last quarter and multi-speaker support for dialogue scenes. Audio export for media projects fits neatly into how we already work, and text-to-speech voice generation removed a step we used to do by hand. but it has held up under daily use.

DW

Devin Walker

Jun 30, 2025

Solid for our team

We rolled this out across the team last quarter and natural-sounding AI voices. Multiple voice options fits neatly into how we already work, and multiple voice options removed a step we used to do by hand. but it has held up under daily use.

Q&A

What is text to speech AI?

Text to speech AI converts written text into natural-sounding spoken audio using deep learning models trained on real human voice recordings. Unlike older rule-based TTS that produces flat, robotic output, modern AI text to speech models learn natural prosody, intonation, and rhythm from training data — generating speech that sounds like a real person reading your script. AI TTS is used in podcasts, e-learning, audiobooks, video narration, customer service, and any application where recorded human voice was previously required.

Asked by Elif Yildiz · Oct 24, 2025

What makes this different from other text to speech tools?

Most AI voice generators give you a small set of generic voices. Text to Speech AI is built around real celebrity and character voices — pick an iconic voice from a library of 1,000+ options and hear your script read back in it. You can also clone your own voice from a short recording, or design a brand-new voice from a plain-text description. Multi-speaker dialogue with inline Audio Tags is still there when you need a full conversation — but the core difference is the range of distinctive voices you can speak in, not just another single-voice reader.

Asked by Dumisani Ndlovu · Oct 16, 2025

What are Audio Tags and how do I use them?

Audio Tags are inline markers you insert into your script text that instruct the AI how to deliver that line. Six categories are available: emotion (excited, sad, angry, fearful), delivery (whispers, shouting), nonverbal (laughing, crying, sighs), sound effects (phone ringing, door knocking, applause), accent, and pacing. Write them directly in your script — for example: 'I can’t believe this happened. [shocked] We’re going to be late.' The AI incorporates the tag as part of the speech generation, not as a post-process audio layer.

Asked by Pierre Dubois · Sep 11, 2025

Can I design a completely new voice?

Yes. In Voice Design mode, describe the voice you want in plain words — its age, gender, tone, accent, or character — and the tool generates a brand-new voice to match. It is a way to create an original voice that does not exist yet, then use it to read any script. You can generate several options and keep the one that fits your content best.

Asked by Rania Nasser · Sep 2, 2025

What is multi-speaker dialogue text to speech?

Multi-speaker dialogue TTS generates a conversation with different voices assigned to different speakers — all synthesized as one audio file. You write the script line by line, assign an AI voice to each speaker, and generate. The AI produces natural conversational flow, shared emotional context, and realistic pacing between speakers. This is fundamentally different from recording separate single-voice tracks and manually stitching them together in an audio editor.

Asked by Renata Silva · Aug 17, 2025

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