How to Fix Pronunciation ElevenLabs: Guide (2026)

How to fix pronunciation ElevenLabs: first respell the word the way it sounds (“SEO” becomes “ess ee oh”), then use a phoneme tag for stubborn cases, and save recurring fixes in the pronunciation dictionary. Every test bills at 1 credit per character, so a 200-character sample costs about 200 credits a round (checked 1 Nov 2026).

Before you start: what you need

Step 1 — Respell the word the way it sounds

This fixes most problems in seconds and costs nothing extra. Text-to-speech reads letters, not intentions, so write what you want to hear: “SEO” becomes “ess ee oh”, “Nguyen” becomes “nwin”, “GIF” becomes “jif” or “gif” depending on which camp you are in, and “read” (past tense) becomes “red”. Put the respelled word directly in the script where the original stood. Test it in a sentence — never in isolation — because surrounding words change how the voice attacks a word. If the respelling sounds right in context, you are done; most pronunciation fixes never need anything fancier. Cost of this step: $0 extra — the respelled word replaces the original character for character.

Step 2 — Use a phoneme tag for stubborn words

Some words defeat respelling — foreign names, brand coinages, words where English spelling fights the sound. For these, use a phoneme tag with IPA: <phoneme alphabet=”ipa” ph=”ʃaʊmi”>Xiaomi</phoneme>. The ph attribute carries the exact sounds, and the voice follows it literally. You do not need fluent IPA: write the word in any phonetic respelling you trust, then convert it with a free IPA chart or dictionary entry. Keep a personal list of the phoneme spellings that worked, because you will reuse them every time the word appears. One caution: like break tags, phoneme tags bill per character — a long IPA string on a long word adds up across a script. Cost of this step: $0 to write; the tag’s characters bill 1 credit each at generation.

Step 3 — Save recurring fixes in the pronunciation dictionary

When the same word appears across many scripts — your brand name, a host’s surname, a product line — stop fixing it by hand every time. Open the pronunciation dictionary in the ElevenLabs dashboard and add an entry: the written word on one side, the spoken form on the other. Dictionary entries apply automatically to future generations, so the fix compounds: add “Q4” pronounced “Q four” once, and every quarterly report reads correctly forever. Review the dictionary quarterly, because entries are easy to forget and a stale entry (a renamed product, a departed host) will mispronounce confidently. Cost of this step: $0 per entry — the dictionary itself does not consume credits; only the generated audio bills.

Step 4 — Test each fix in a 200-character sentence

Generate one sentence of about 200 characters containing the fixed word, in the tone of the real script — a name lands differently in a cheerful ad than in a somber documentary. Listen for two things: is the word itself right, and does the sentence still flow? A phoneme tag that nails the word but breaks the rhythm is a partial fix. If it fails, adjust the respelling or the IPA and regenerate — each round costs about 200 credits, roughly 2% of the free plan’s monthly 10,000. Never test the full script for one word; that re-bills thousands of characters to check a single fix. Cost of this step: ~200 credits per test round.

Step 5 — Fix whole classes of words at once

Work smarter by grouping. Acronyms almost always want letter-by-letter spelling (“API” → “ay pee eye”); years want their spoken form (“2026” → “twenty twenty-six” when the voice says “two thousand twenty-six”); units want words (“km/h” → “kilometers per hour”). Scan the script for every member of the class before generating, not after — one careful pass beats five surprised regenerations. For technical content, build a glossary document alongside the script: term, spoken form, method used (respell, phoneme, dictionary). The next script in the series starts from the glossary instead of from zero. Pair this with the pause timing guide — acronyms read letter by letter often need a breath before them to sound natural. Cost of this step: $0 — it is preparation, and preparation is the cheapest credit saver there is.

Step 6 — Re-check pronunciation after model changes

Models get updated, and an update can change how a respelled word lands — a workaround that was perfect on one model may drift on the next. Whenever you switch models or notice a new release, re-run your 200-character test sentences for the dozen most important words before generating a full project. Dictionary entries usually survive model changes, but verify the high-stakes ones (brand names, client names) anyway. This is also the moment to delete stale entries for words you no longer use. If you are still learning the platform’s generation settings, the main ElevenLabs walkthrough covers the model picker these steps assume. Cost of this step: ~200 credits per word re-tested — a 12-word check costs about 2,400 credits, under a quarter of the free plan.

What pronunciation fixes cost in credits

The maths favor the dictionary: entries cost nothing to store and fix every future script automatically, while repeated manual respelling re-bills the tag characters on every generation. For the full plan quotas behind these numbers, see the ElevenLabs pricing breakdown.

5 tips for clean pronunciation

• Always test in a sentence. Words sound different in isolation than in flowing speech — the sentence is the only test that counts.
• Fix the highest-frequency words first. Your brand name in every script beats a one-off surname in one paragraph.
• Keep a pronunciation glossary. Term, spoken form, and method — future scripts inherit the work instead of repeating it.
• Prefer the dictionary for repeats, respelling for one-offs. The dictionary compounds; inline fixes are disposable.
• Re-test after model updates. A respelling tuned for one model can drift on the next — verify the dozen words that matter most.

Common problems and fixes

The respelled word sounds worse than the original

Your respelling fought the voice’s instincts instead of guiding them. Try a simpler phonetic spelling — fewer clever letter combos, more plain syllables (“nwin” beats “ngoo-YEN”). If three respellings fail, move to a phoneme tag with IPA rather than trying a fourth.

The phoneme tag is read aloud as text

The model is not parsing it — check the syntax (straight quotes, alphabet=”ipa”, closing tag) and confirm the selected model supports phoneme tags. Retype it exactly and test on a short sample before regenerating the full script.

The dictionary entry is not applying

Check that the entry’s written form matches the script exactly — capitalization, hyphens, and spacing all matter. Also confirm the entry is saved to the dictionary your project uses; some setups have more than one. When in doubt, respell inline for today’s deadline and debug the dictionary after.

Fixing pronunciation is eating my credit balance

You are testing on full scripts. Switch to 200-character test sentences (~200 credits a round) and batch all fixes before the real generation. Ten words tested in three rounds each costs about 6,000 credits — still inside the free plan — while ten full-script regenerations would cost many times more.

Pronunciation tools: pros and cons

Who should NOT obsess over pronunciation

Skip the dictionary and phoneme tags if your scripts are plain everyday English with no brand names, acronyms, or foreign words — the default pronunciation will serve you fine, and your credits are better spent on the emotion settings that make delivery engaging. One-off scripts deserve inline respelling at most. The full toolkit earns its keep for series content, client work, and anyone whose brand name appears in every single generation. If budget is the free plan’s 10,000 credits, check the free plan guide — pronunciation testing fits comfortably inside it as long as you test sentences, not scripts.

Frequently asked questions

How do I fix pronunciation in ElevenLabs?

Respell the word the way it sounds directly in the script — this fixes most cases. For stubborn words, use a phoneme tag with IPA, and for words that repeat across scripts, save the fix in the pronunciation dictionary so it applies automatically.

Does ElevenLabs have a pronunciation dictionary?

Yes — the dashboard includes a pronunciation dictionary where each entry maps a written word to its spoken form and applies to future generations automatically. Entries cost nothing to store; check your plan’s feature list for availability. It is the best tool for brand names and recurring terms.

What is the phoneme tag syntax in ElevenLabs?

Type <phoneme alphabet=”ipa” ph=”…”>word</phoneme> with the IPA sounds in the ph attribute and straight quotes throughout. The voice follows the IPA literally. Confirm your model parses phoneme tags first — a short test sentence costs about 200 credits.

How many credits does pronunciation testing cost?

About 200 credits per test round on a 200-character sentence, at 1 credit per character. Three rounds for one word cost roughly 600 credits — about 6% of the free plan’s monthly 10,000. Always test sentences, never full scripts, to keep tuning cheap.

Why does ElevenLabs mispronounce acronyms?

The voice guesses from spelling, so “SEO” may come out as “see-oh” instead of letter by letter. Respell acronyms as spaced letters (“ess ee oh”) or add a dictionary entry. Group acronym fixes together — they almost always want the same letter-by-letter treatment.

Can I fix pronunciation on the free plan?

Yes — respelling and phoneme tags are plain text and work on every plan including the $0 free tier. A 200-character test costs about 200 credits, so even ten words tested across three rounds (about 6,000 credits) fits inside the free plan’s 10,000 monthly credits.

Sources checked

Pronunciation dictionary behavior and phoneme-tag support come from the official ElevenLabs documentation; plan quotas and the 1-credit-per-character rate come from the official ElevenLabs pricing page. All facts checked 1 Nov 2026.