AI Text to Speech Generator for Natural Voiceovers

Generate natural-sounding voiceovers from text, with multiple voices and languages for ads, narration, training, podcasts, and video. Choose a voice, direct tone and pace with inline cues, and download the generated speech as WAV.

Multiple voices
Multiple languages

Language Lesson

Product Ad

Fantasy Game Narration

Nature Documentary

Built for Teams Shipping Voice Work Daily

Three things that decide whether speech generation stays a demo or becomes part of production.

Pick the Voice That Fits the Read

Choose from multiple voices with different tonal characteristics. A warm narrator for an audiobook, a bright read for an ad, an even delivery for training content.

Regenerate Lines Without Rebooking a Session

If a script changes, edit the text and generate a new take. Keep the same voice or try another one, then replace the affected audio in your editing workflow.

Pay per 1,000 Characters

Speech generation is priced by script length, per 1,000 characters. It runs on the same paid plans as image and video, with no per-tool surcharge.

Direct Tone and Emotion Inside the Script

You are not limited to picking a voice. Add a bracketed cue before any line and the delivery shifts from that point in the read:

[calm, warm] Welcome back.

[bright, energetic] And this is where things get interesting.

[quiet, serious] But there's one detail we shouldn't ignore.

The sample on the right is that exact script, read by one voice in a single generation.

Cues live in the script Tone direction is part of the text you write, not a separate settings panel. Change it as often as the read needs.
Shift tone mid-script One generation can move from calm to energetic and back, so a single file does not have to hold a single mood.
Cues guide, they do not guarantee Delivery cues steer pacing and emphasis rather than lock them. Generate a short test passage to hear how a specific cue lands before committing to a long script.

Choose from 30 AI Voices

The library covers 30 voices with different tonal characteristics, filterable by language and gender. Every voice is multilingual, so the same character can carry a script across markets. Below are four reads from four different voices, generated on getimg.ai.

From Script to WAV in Three Steps

Generating a read and booking one are different workflows. Here is what each involves.

Laptop on a dark wooden desk showing lines of script text beside a glowing audio waveform, with over-ear headphones and a warm desk lamp alongside it, illustrating generating a voiceover without a recording session. Generated on getimg.ai.

With getimg.ai

  • Paste your script

    Drop in the text, with bracketed cues on any line where the delivery should change.

  • Pick a voice

    Filter the library by language and gender, choose a voice, and generate.

  • Download the WAV

    Drop it into your editor, podcast feed, or video timeline. If a line changes later, generate a new take instead of rebooking.

Woman wearing headphones speaking into a studio microphone in a dubbing booth, illustrating the traditional voice recording session that AI text to speech replaces.

Booking a recording session

  • Source and audition voice talent for the language, accent, and tone
  • Negotiate rates, usage rights, and exclusivity terms
  • Schedule a studio session that fits everyone's calendar
  • Pay for studio time, engineer time, and talent fees
  • Book a pickup session when a single sentence changes

Voice Work, Split by Use Case

Different projects ask different things from the read. The same generation flow handles each one.

How to Write for Text to Speech

A script written for the page and a script written for the ear are not the same document. These six habits do most of the work.

Write for the ear, not the page Shorter sentences, fewer nested clauses, more natural phrasing. A sentence you would struggle to say out loud will usually read awkwardly too.
Use punctuation deliberately Commas, full stops, and paragraph breaks help guide pacing and phrasing. Use them to mark where the read should breathe.
Add delivery cues Bracketed cues such as [warm], [excited], or [slow, serious] steer tone inside the script. Put them on the line they should affect.
Test numbers and abbreviations Dates, currency, times, and abbreviations like CEO, API, or VAT are the most common source of surprises. Check them before you generate the full script.
Generate short test passages first Run the trickiest paragraph on its own before spending characters on a long script. Personal names are the case most worth checking this way, since respelling does not always rescue them.
Respell what has to be exact If a figure or a name must land a specific way, write it the way it should be said. We respelled our own brand as "get I-M-G dot A-I" to stop it being read as one word, and "one thousand two hundred forty-nine euros" removes the ambiguity that "€1,249" leaves open.

We Tested Difficult Text to Speech Phrases

Natural narration is the easy part. The hard part is currency, dates, acronyms, and brand names. We generated three test scripts on getimg.ai, kept one voice per case, and published the audio next to the script along with what we found.

Natural-Sounding Speech with Controllable Delivery

Modern speech generation produces varied pacing, emphasis, and pauses rather than a flat monotone. How a line lands still depends on how it is written.

In getimg.ai, punctuation and inline cues are the two levers you have. Write the script the way it should sound, then add a bracketed cue such as [gentle, emotional] before a line to guide its tone and pace. Each voice brings its own character on top of that direction.

Varied pacing and emphasis Plain text is enough to get stress, pauses, and phrasing. There are no SSML tags to write and nothing to tune by hand.
Punctuation helps guide the rhythm Commas, full stops, and paragraph breaks give the model clearer phrasing boundaries. Shorter sentences generally read more predictably than long, nested ones.
A voice for every read 30 voices with different tonal characteristics, from soft and gentle to firm and upbeat. Find one that fits the script instead of rewriting the script to fit the voice.

Video Game Audio

Text to Speech Specs

What the Create speech action in getimg.ai does today, without the marketing adjectives.

Model and voices One text-to-speech model, Gemini 3.1 Flash TTS, serving a library of 30 voices.
Languages Every voice in the library is multilingual, so a script written in a language other than English can be generated with the same voice.
Voice cloning Not available. Create speech uses a preset voice library, so you select a voice rather than uploading your own.
Output format Speech downloads as a WAV file, ready for an editing timeline, a podcast feed, or a video project.
Pricing and plans Priced by script length, per 1,000 characters, on the same paid plans as image and video generation.
Tone control and filters Inline bracketed cues such as [calm, warm] steer delivery inside the script. The voice list filters by language and gender.

How getimg.ai Text to Speech Compares

Three comparisons worth making before you pick an approach, or another page on this site.

vs human voice recording

Both produce spoken audio, and they are good at different things. For most teams the honest answer is that each wins a different brief.

AI text to speech

Fast iteration, a preset voice library, localization across markets, predictable per-character pricing, and quick regeneration when the copy changes.

Human voice recording

Bespoke casting, live direction in the room, original character creation, native-actor interpretation, and signature voice work tied to a specific performer.

Voice, Image, and Video on One Subscription

Most teams running content production juggle three subscriptions: voice in one app, images in another, video in a third. getimg.ai consolidates the workflow, so your script, your visuals, and your final cut never leave the same project.

Image generation Leading models including FLUX.2, Seedream 5.0 Lite, and Nano Banana 2. Generate covers, thumbnails, and marketing visuals in the same project as your voiceover.
Video generation Google Veo 3.1, Seedance 2.0, Kling 3.0 Pro, and others for clip generation. Use the speech you rendered as the audio track for the matching video.
Billed once Speech runs on the same plan as your image and video work. No separate per-tool fees and no per-model add-ons for adding speech to your workflow.

YouTube Video Essay

Related Speech and Audio Tools

Text to speech is the technology. These pages cover the voice library, the voiceover use case, and the rest of the audio toolkit.

Frequently Asked Questions

Generate Voiceovers Without a Recording Session

Create downloadable WAV voice tracks for videos, podcasts, training, ads, and other spoken-content workflows.