Hindi dubbing with AI: what a 771-upvote game mod teaches about pacing, cloning and ownership

What the Black Myth Wukong and God of War Hindi mods did

In July 2026 a player posted on r/IndianGaming that he had dubbed the whole of Black Myth Wukong into Hindi with a fully local AI pipeline of TTS, voice cloning and speech to text (r/IndianGaming). All 3,000+ lines of the English voice track were replaced, and the post reached a score of 771 with 118 comments in the archive snapshot we checked. In the comments he said he used open-source models on two of his own GPUs, an RTX 3080 and an RTX 3090, after a few weeks of trial and error.

The hard part, he wrote, was not the dubbing but the game's audio engine. Converting the files the normal way broke the subtitles, and keeping them in sync took most of the work. His own list of what was not yet working was short and honest: some English lines still bled through, voice pacing needed polish, and it was not studio quality.

A follow-up in August 2026 dubbed God of War Ragnarök the same way (r/Indiangamers). This time he said every line was timed to the original performance, the subtitles stayed in sync, and pacing was "good enough". He put the Hindi audio in the game's unused Spanish language slot, so players could switch back to English at any time. One of his GPUs died in the process.

Pacing is the hard part, because translated Hindi runs long

Pacing fails because a faithful Hindi translation is often longer than the line it replaces. Hindi puts the verb last and adds postpositions, and translation tools tend to reach for complete, formal sentences. A two-second English line can come back as a four-second Hindi one, and then the voice either races to fit or spills over the next shot.

Professional dubbers handle this with more flexibility than engineers often assume. A large study of professionally dubbed film and TV by Amazon researchers found that human dubbers put vocal naturalness and translation quality ahead of strict timing and lip-sync constraints (Brannon and others, TACL 2023). Their conclusion takes "a more qualified view" of timing rules, which suggests a dub that sounds natural can stray slightly from the original's length and still work.

Dubbing between Indian languages, and the languages studios skip

Dubbing from one Indian language into another is harder than dubbing from English, because listeners know both sides well. A filmmaker trying to bring Telugu content to Hindi audiences found standard Hindi from the big tools passable. He wrote that once regional accuracy and cadence mattered "it just falls apart pretty fast" (r/Filmmakers, May 2026). He also asked whether the tools kept the original speaker's tone or flattened it.

Both problems are real, and neither has a settings fix. Cadence comes from the translated script, so a Telugu-to-Hindi dub needs a writer who knows how Hindi speakers in the target region talk. Tone depends on the voice, and a cloned voice keeps the accent of its reference speaker in every language it speaks.

That has a direct consequence for casting. Clone a Telugu actor and the Hindi dub will carry a Telugu accent, which may suit that character or may not. For a native Hindi delivery, start from a Hindi speaker's voice, either a platform voice or a Hindi voice artist who agrees to be cloned. Our guide to why a cloned voice keeps its accent across languages explains the mechanism.

AI dubbing also reaches languages that studios rarely dub into. A poster on r/kolkata asked why Hollywood films get Hindi, Tamil and Telugu dubs, often Malayalam and Kannada too, but skip Bengali "99% of the time" (r/kolkata, August 2026). That figure is the poster's impression, not a count. Still, for a small creator, a Bengali or Odia dub is now mostly a question of script work and native review rather than of hiring a studio. The sample below uses the Bengali text to speech voice.

Consent and ownership for cloned voices

Clone a voice only if it is your own or you have the speaker's explicit permission, and settle who owns what before you publish. The Telugu filmmaker raised this too: he wanted to know who owns the voice output after you generate it. That is the right question, and the answer depends on each tool's terms, not on the technology.

Here is what Sonex's own product and terms say, as one example to compare with other tools. Before a voice is cloned, you must confirm that the recording is your own voice or that you have the speaker's explicit permission. You also confirm that you will not use the voice to impersonate anyone or to mislead, and that you accept responsibility for what is produced with it. The recording and voice profile are stored for your workspace, used only to synthesise speech for it, and can be deleted at any time.

The Terms of Use add three points. You keep ownership of the content, scripts and configurations you create, and Sonex takes a limited licence only to process them to provide the service. Sonex does not use your content to train its models without your explicit written consent. And impersonating any person is prohibited.

Two cautions apply whatever tool you use. A game's or film's original performances belong to the actors and the rights holder, so cloning a cast member for a fan dub needs their permission, not just a tool's checkbox. And Indian High Courts have treated a person's voice as part of their personality and have barred AI copies of famous voices, as our guide to voice-cloning law in India explains.

Publishing a dub: rights, monetisation and cost

Dubbing someone else's video and earning from it needs the rights holder's permission, because the video and its audio belong to them. YouTube's monetisation policies also exclude reused content that adds little of your own. A dub made with the original creator's agreement, and published by them or under their licence, avoids both problems; our guide to AI voices and YouTube monetisation for Hindi channels explains the policy.

The voice itself is usually the smallest cost in a dub; translation, fitting and review take most of the time. As one data point, Pāṇini lists $0.03125 per 1,000 characters, so a 100,000-character Hindi script costs about $3.13, or ₹297 at ₹95.04 to the dollar (24 October 2026). Count characters in the final fitted script, since retakes add to the total. The Hindi voice-over page for creators has samples of the Hindi voices.

Expect pushback, and work in the open

Creative communities are often hostile to AI dubbing, so plan for it rather than hide from it. Replies to the Telugu filmmaker suggested it would be easier to hire a translator and a voice actor. One commenter on the Wukong post wrote that real voice actors bring emotion, nuance and humour that AI still struggles with. The archived thread also shows a moderator notice removing the post under the subreddit's rule against AI slop, despite its score.

Viewers dislike AI dubs most when they cannot avoid them. A r/youtubeindia post complained about videos playing an auto-dubbed AI voiceover in English instead of the original audio (r/youtubeindia, August 2025). The God of War mod got this right by leaving the English track untouched and putting Hindi in a spare language slot.

Three habits help. Say that the dub is AI-generated and credit the original performers. Keep the original audio available. And show the work, such as the timing and the script fitting, because a careful dub is easier to defend than a text dump.