How do I edit the translation in a dubbed video before it goes live?

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This is the single most common snag with AI dubbing: the review step works exactly as intended, a native speaker catches a wrong word or an awkward phrase, and then you go looking for the obvious fix, editing the translated line directly, and find it's more locked down than you expected.

Why you can't just edit the line on most plans

Verified directly against ElevenLabs' current documentation: the original Dubbing Studio interface, which did offer a transcript-editing view, is in maintenance mode, meaning it's not being actively developed and shouldn't be the backbone of a workflow you depend on. For the current Dubbing v2 system, full transcript editing and audio regeneration through the API is restricted to Enterprise plans specifically. If you're on Free, Starter, Creator, Pro or Scale, that direct editing path isn't available to you.

The workaround that actually works on every plan

1. Identify exactly what's wrong and why. Is it a mistranslation of the source wording, a term that doesn't exist in the target language, or just an awkward phrasing choice?
2. Fix it at the source, not the output. Rewrite the problematic sentence in your original script to be clearer or less ambiguous, since a confusing source sentence often produces a confusing translation. If the issue is a specific term, consider simplifying or rephrasing it in the source rather than hoping the translation step handles it correctly.
3. Regenerate the dub from the corrected source. This redoes the whole translation and voice generation for that segment or file, not a targeted patch, so budget a few minutes and a small credit cost for the redo. You can run this directly through ElevenLabs' Dubbing tool on any plan.
4. Review the regenerated output again before publishing, since fixing one line can occasionally shift timing or phrasing around it slightly.

The four kinds of translation error you actually see

Not every wrong translation has the same fix, and knowing which kind you're looking at tells you what to actually change in the source before you regenerate.

• Numbers and prices. A model number, a price, a date, or a percentage comes out altered or ambiguous in the target language. This is the most consequential category since it's the error most likely to cause real customer confusion, and the fix is usually spelling the number out in words in the source rather than relying on digits alone to translate cleanly, since digit formatting conventions differ by language and locale.
• Proper nouns. A product name, a company name or a person's name gets mangled, sometimes translated when it shouldn't be, sometimes mispronounced because the system guesses at a pronunciation rule that doesn't apply to that specific name. The fix here is usually flagging the term explicitly in the source, sometimes by rephrasing the surrounding sentence so the name sits more clearly as a standalone noun rather than part of a longer clause the translator has to parse.
• Idioms and figures of speech. A phrase that means something specific in English, "hit the ground running," "ballpark figure," translates literally into nonsense or something unintentionally funny in the target language. The fix is rewriting the English to say the same thing plainly, without the idiom, before it ever gets translated.
• Register and formality. The translation is technically correct but comes out too casual, too stiff, or culturally off for the audience, something a fluency check won't catch but a native speaker immediately notices. This is the hardest category to fix from the source alone, since it's often more about word choice at the sentence level than any single error, and sometimes the better fix is simplifying the English sentence structure so the translator has less room to pick an odd register.

How much a regeneration actually costs in practice

A concrete example: a 90-second product explainer video costs roughly 3,000 to 4,500 credits to dub once. If your native-speaker reviewer flags one wrong price mention and one awkward idiom, fixing the source and regenerating the whole clip costs you that same 3,000 to 4,500 credits again, not a prorated fraction for just the two problem lines, since the regeneration redoes the full file. On Starter's 30,000 monthly credits, that's roughly 10 to 15 percent of your monthly allowance for one full redo of a short video, which is why catching errors in a single review pass matters more than it might seem. Two rounds of regeneration on the same video because you missed something the first time costs you twice that, which is a real reason to have your native-speaker reviewer go through the entire transcript in one sitting rather than skimming and catching issues piecemeal across several review rounds.

If you're dubbing a longer video, say an 8-minute training module, a full redub for one fixed sentence gets considerably more expensive, which is exactly the scenario where the Enterprise-only segment-level editing starts to look worth its added cost, assuming you're correcting videos at that length and volume regularly rather than occasionally.

A worked example: catching a price error before it goes live

Say you dub an English demo video into Spanish, and your reviewer flags that the line "starts at $299 a month" came out as a number that reads ambiguously in Spanish formatting conventions, where the comma and period conventions for thousands and decimals are reversed from English. The fix isn't re-recording or trying to patch the output audio; it's going back to your English source and writing the price out more explicitly, "two hundred and ninety-nine US dollars a month," so there's less room for a formatting-convention mismatch to creep into the translation. You regenerate from that clarified source, and your reviewer checks the new output specifically on that line before signing off on the whole thing again.

What I'd actually tell you

Budget for at least one regeneration pass on ElevenLabs as a normal part of the process, not a sign something went wrong. Catching an error before publishing and having to regenerate is the system working as intended; the alternative, publishing a wrong translation because editing felt like too much friction, is the actual failure mode. The fix costs you a few minutes and a small number of credits. A wrong translation live on a customer-facing video costs you more than that.

If you're hitting this constantly, several corrections per video, that's usually a sign the source script itself needs tightening before translation, not that the dubbing tool is unreliable. Clear, unambiguous source sentences translate more cleanly than clever or idiomatic ones. If errors stay frequent, compare subtitles, dubbing and lip sync options or read when AI dubbing is enough.

One habit worth building into your process early: keep a running list of terms, product names and phrasing that have caused translation problems before, per target language. Over a handful of videos, patterns show up, certain product names that consistently mispronounce, certain idioms that never translate cleanly, certain number formats that need spelling out. Checking new scripts against that list before you generate anything catches repeat problems before they cost you a regeneration, rather than rediscovering the same issue video after video.

When Enterprise-level editing access is actually worth paying for

If you're dubbing at real volume, a large content library, frequent updates, many languages, where regenerating entire files for small fixes becomes a genuine time cost, that's when direct transcript-editing access through an Enterprise plan starts to pay for itself. For occasional dubbing, the regenerate-from-source workaround is fast enough that the Enterprise tier isn't worth it just for this. If another tool's editing options suit you better, AI dubbing tools compared for training and product videos lays out the choices.

Work out the actual math before upgrading rather than assuming. If you're correcting roughly one video a month and each regeneration costs a few thousand credits, that's a trivial fraction of even the cheapest paid plan's monthly allowance, and Enterprise pricing (quote-only, well above Scale's $299 a month) isn't worth it just to skip an occasional regeneration. If you're correcting dozens of videos a week across a large, frequently updated library, the calculation flips: the credits spent on repeated full-file regenerations for small fixes, plus the staff time spent managing that cycle, can add up to more than an Enterprise plan's added cost, and at that point the segment-level editing access becomes the thing that's actually saving you money, not just convenience.

How I'd approach this

If a client is dubbing often enough that the regenerate-and-recheck cycle is becoming a real bottleneck, I'd look at whether a custom review workflow built on the API, one that flags likely problem segments automatically and routes them for human review before a full regeneration, makes sense before recommending an Enterprise upgrade just for editing access. Sometimes the actual fix is a better process, not a bigger plan. Get in touch if you want that looked at properly.