What is text-to-speech (TTS)?

Text-to-speech, or TTS, converts written text into spoken audio using speech-synthesis models. AI text-to-speech generates voices that sound natural across multiple languages, with delivery shaped by punctuation, sentence rhythm, and word choice. The output is a downloadable audio file used for podcasts, video voiceover, e-learning, advertising, IVR systems, and accessibility tools.

What kinds of voices are available?

Multiple voices per language, with different ages and tones. Pick a warm storyteller voice for a podcast, a neutral narrator for documentary or training content, or a sharper read for ads and product demos.

Which languages does the text-to-speech support?

Multiple languages, with multiple voices in each. This way, teams working across markets can generate every localized version in the same project.

Can I use the generated voices commercially?

Yes. Every paid plan includes commercial rights for the audio you generate. Use it in client work, ads, audiobooks, course content, and published media without separate licensing.

What is the best AI text-to-speech tool?

getimg.ai is the best AI text-to-speech tool for professional creative work. The voice library covers multiple voices and languages with delivery that sounds recorded rather than generated. Commercial rights are included on every paid plan, and pricing scales with the length of your script. What separates it from standalone TTS tools: AI image and video generation run in the same app, so voiceover, visuals, and the final cut all live in one project.

#1 AI Text to Speech Generator

Voiceover that doesn't sound generated, with multiple voices and languages to match your audience. Audio ready in minutes for ads, e-learning, and any other spoken-track project. Try it now.

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Built for teams shipping voice work daily

Three things that make the difference between one-off generations and a real production workflow.

Multiple voices, one subscription

Pick the model that fits the read: storyteller voice for podcasts, neutral narrator for documentaries, sharper delivery for product demos.

Iterate without retiming

Rewrite a line, swap the voice, regenerate. Iterations run fast enough to match audio against your existing edit, without re-syncing the entire project.

Pay per 1,000 characters

Cost scales with the audio you actually use, billed by the second. Voice runs on every paid plan, with no per-tool surcharge for adding speech to your workflow.

Why teams switch from traditional voice recording

The session itself is one step in a long chain. The rest is friction.

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With getimg.ai

Paste your script
Drop in the text. No studio booking, no talent calls, no scheduling.
Pick a voice
Filter by language and gender. Start generating.
Export the WAV
Drop it into your editor, podcast feed, or video timeline. Edit a line later without booking another session.

Traditional voice recording

Write and approve the script
Source voice talent for the right 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
Run the session and hope the read lands on the first take
Wait for the engineer to clean and master the file
Book another session when a single sentence changes
Repeat the process for every language version you need

Voice work, split by use case

Different projects ask different things from your audio. The same generation flow handles each one.

Voices that don't sound generated

Early AI voices flattened every read into the same robotic monotone. Current speech models handle pauses, breath, and emphasis the way a voice actor would.

Type the script the way it should sound, and add a bracketed cue like [gentle, emotional] before any line to steer tone and pace; the audio follows. Each voice has its own character, from soft to warm to upbeat.

Natural inflection Emphasis, breath, and stress patterns without SSML tags or manual tuning. Drop in plain text; get a read that flows like spoken language.

Punctuation drives the rhythm Long sentences stay measured, short lines land snappier, questions lift at the end. Write naturally; the model reads naturally.

A voice for every read Each model serves multiple voices, with different ages and tonal characteristics. Find one that fits your script without forcing the script to fit the voice.

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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 AI voiceover you rendered as the audio track for the matching video.

Billed once Voice 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.

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Frequently Asked Questions

Studio-quality voice. No studio booking.

Generate, regenerate, and ship production-grade audio without rebooking, retiming, or re-recording.

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