How to Use Text to Speech

The Basic Workflow: Script, Voice, Settings, Generate

Every text-to-speech tool I've used follows roughly the same four-step process, and each step matters more than it looks. For the rest of my AI Audio & Music Tools coverage, see the full hub.

1. Write and prepare your script. I read it out loud once before pasting it in. This catches awkward phrasing that sounds fine on the page but strange spoken aloud, and reminds you to check punctuation, since commas create short pauses and periods create longer ones.
2. Choose and audition a voice. I don't settle for the first option. I shortlist 2-3 voices and listen to each read the same sentence before deciding which tone matches the content.
3. Customize the delivery. I adjust speed, pitch, and pauses, or apply a preset emotional style (cheerful, serious, dramatic) when the tool offers one.
4. Generate and download. For a typical 1,000-word script, generation took me well under a minute once I was ready.

Troubleshooting: Fixing Robotic Sound, Mispronunciation, and Bad Pacing

Most quality problems I ran into had a specific, known fix rather than needing another blind attempt:

• Sounds robotic or monotone. The most common mistake I made early on was leaving default settings untouched. Applying an emotional Voice Style preset (like "Friendly" or "Newscast") fixed it when available, or I manually increased pitch variability and added short pauses.
• Mispronounces a specific word (a name, jargon, or a word with multiple pronunciations). I respell it phonetically in the script. A real example I hit: the sentence "John presents his documents to the clerk's office" got misread with "presents" pronounced like the noun ("gifts") instead of the verb. Rewriting it as "pre-zents" fixed the ambiguity.
• Pacing feels too fast or slow. I target a specific words-per-minute rate rather than guessing: roughly 150 WPM works for standard narration, up to 170 WPM for energetic, ad-style content, and down to 130 WPM for a slow, deliberate reading.
• No pauses between sentences. I check punctuation first, since missing periods or commas remove the natural pause points. For a longer pause than punctuation gives, an ellipsis (...) or a dedicated pause feature, when the tool has one, works.
• A cloned voice doesn't sound like you. The input recording quality is almost always the cause. I re-record the voice sample in a completely silent room with a decent microphone, avoiding background noise, reverb, and vocal fry.

Real Results: Two Quick Case Studies

A teacher's lesson audio: manually recording and editing an audio explanation of a diagram took me about 45 minutes. Using an AI tool to generate a script from the uploaded diagram, then converting it to speech with a cheerful voice, cut that down to about 4 minutes total.

A business training exercise: creating a two-person role-play scenario for customer service training would normally mean hiring two voice actors and booking studio time, roughly $500+ and a week of lead time. Using a multi-speaker dialogue tool instead (assigning different voices to different "characters" in the script), I produced a realistic training conversation in about 15 minutes.

Neither result is guaranteed for every project, but both show the realistic order of magnitude in time savings once you're comfortable with the basic workflow.

Picking the Right Tool for Your Specific Need

Rather than chasing a single "best" tool, I match the tool to what I'm trying to do:

If you need...	Look for a tool known for...
An all-in-one platform (TTS + dialogue + transcription)	An integrated, multi-feature suite
The most natural, human-like prosody	Voice quality specifically over feature breadth
To convert your own recording into a different voice	A voice-changer feature
To turn articles into podcast-style audio	Built-in podcast-hosting tools
A consistent, specific voice persona for a brand	Voice cloning specifically, see my ElevenLabs review
To integrate TTS into your own app or product	A developer-facing API

Using TTS Inside Video Editors

When I add narration to video content directly, most popular editors have TTS built in already. In CapCut, I add my text to the timeline, select it, choose Text to Speech, pick a voice, and generate. In Clipchamp, I go to Record & Create, select Text to Speech, choose language and voice, type the script, and save it to the timeline. In Canva, I open Apps in the sidebar, search "text to speech," pick the AI Voice app, type the script, and generate. The audio drops directly into the project's timeline.

Where This Fits in the Wider AI Audio Toolkit

This guide sits in the AI Audio & Music section. The Best Text to Speech Software covers which tool to use before you tune one, and Free Text to Speech Tools covers the ones that cost nothing. For narration aimed at published video rather than personal listening, see Free AI Voiceover Tools.

Frequently asked questions

How can I turn on text-to-speech?

Every major phone and computer has a built-in text-to-speech feature in Accessibility settings. See my full guide on turning on text to speech for exact steps by device.

How do I use Google text-to-speech?

On Android, I go to Settings > Accessibility > Text-to-speech output to choose Google's engine, then enable Select to Speak to trigger it on selected text. Google also offers TTS through its developer platforms for building custom applications.

How do I get my text to read aloud?

I paste or type the text into a text-to-speech tool (built into the device, a video editor, or a dedicated AI generator), choose a voice, and click generate or play. The exact button varies by platform, but the core steps stay the same.

How to use ChatGPT text-to-speech?

ChatGPT includes voice features that read its responses aloud within the app, built for general assistant use rather than converting arbitrary text or documents into a downloadable audio file. For that, I'd reach for a purpose-built TTS tool instead.