Female voice text to speech

The female voices at a glance

There are nine American female voices: Heart, Bella, Nicole, Aoede, Kore, Sarah, Alloy, Nova and Sky. There are two British female voices: Emma and Isabella.

Heart is the default and the most natural-sounding of the set, which makes it the safe first choice for general narration and reading. Nicole is noticeably different from the rest: softer and slower, with a close-mic quality, as if the speaker were sitting right next to you. That can suit relaxed listening, bedtime reading or careful review of a document, though it may feel too gentle for an upbeat promo.

The remaining voices differ in pitch, brightness and pace in ways that a short clip shows better than any label. Bella is the voice the TikTok preset uses, and Emma is the one the audiobook preset uses, if you want a hint about where each has been put to work.

Shortlisting in under two minutes

Open the voice menu and press the short listen button next to each name. It works before anything is downloaded, so you can hear all eleven female voices before generating anything. Pick two or three that feel right for your project.

Then paste a paragraph from your actual text, not a test phrase, and generate it with each of your shortlisted voices. A voice that sounds pleasant on hello can feel flat or too bright on a technical explanation, so real content is the only fair test. Listen on the device your audience will use; a voice can sound different on laptop speakers than on earbuds.

Shaping the delivery

Speed changes the character of a voice more than people expect. Heart at 0.9× reads like a patient narrator; at 1.1× it feels brisk and suited to short social clips. Nicole is already slower by nature, so leave it at 1× or nudge it up a little if it drags. The full range is 0.7× to 1.5×.

For emphasis and rhythm, add pauses. Type [pause 1s] before a key line, or use the Pause button to insert 0.5 to 3 seconds at the cursor. A blank line between paragraphs gives a natural short pause without any markup.

Common projects and a starting voice

For a course module or explainer, start with Heart at 1×. For reading long articles or book chapters to yourself, try Nicole or Heart at a comfortable speed; see read text aloud for more on listening sessions. For a UK audience, try Emma or Isabella. For short, upbeat video voiceovers, try Bella at 1.1×. These are starting points only; your own ears decide.

The tool reads one voice per file. If you need a female and a male voice in conversation, generate each speaker separately and combine the files in an editor. Voice cloning is not available.

Getting the finished file

Download the result as MP3 for sharing, WAV for editing, or SRT subtitles timed to the audio. If a single sentence needs fixing, edit it and press Generate again; only the changed part is regenerated. Names that come out wrong can usually be fixed by spelling them the way they sound.

Frequently asked questions