5 Tips for Better AI Text-to-Speech Audio Quality

I use AI text to speech to proofread my writing. Hearing my words read back catches mistakes my eyes skip. But getting the best audio quality is not automatic — a few small changes to your workflow make the difference between natural-sounding speech and something that sounds robotic.

1. Polish Your Text Before Converting

Run your text through text polish before TTS. Shorten sentences. Remove parentheses and footnotes. Replace jargon with conversational equivalents. Text that reads well silently does not always sound good spoken. A 30-second polish pass makes the audio significantly more natural.

2. Break Text at Natural Pauses

The tool handles up to 2000 characters per generation. Break long text at paragraph boundaries or natural topic breaks, not mid-sentence. Each chunk gets its own audio file. This also makes it easier to re-record individual sections later.

3. Use Phonetic Guidance for Tricky Words

For names, technical terms, or acronyms that might be mispronounced, write them phonetically in your script before converting. The AI reads what you type — adjust the spelling to guide pronunciation.

4. Match Language to Content

The tool supports 17 languages including Spanish French German Japanese and Korean. Select the language that matches your content for proper pronunciation and intonation. The AI handles native pacing and emphasis natively.

5. Generate in Small Batches and Review

Do not batch process an entire 5000-word article at once. Generate one chunk, listen, adjust your script if needed, then proceed. Catching a pronunciation issue on chunk 1 means you can fix the rest before generating. This saves credits and produces better output.

The text to speech tool outputs MP3 files. 3 credits per generation. 17 languages. Perfect for adding audio versions of articles, creating podcast segments, or proofreading your writing by ear.