Voice cloning for AI video dubbing

AI Voice Clone for Video Translation.

Upload a video, choose a target language, and generate translated speech based on the source speaker’s vocal identity.

Upload · clone voice · download
Source voiceClean reference
OutputSame identity
How AI voice cloning works

Keep the speaker identity when you translate video audio.

This page keeps Voice Clone enabled for presenter videos, product demos, courses, and branded content where the translated voice should resemble the source speaker. Use the standard AI dubbing page when speaker matching is unnecessary and a lower credit rate matters more.

✓The translator isolates a clean voice reference from the source video before generating dubbed speech.
✓The same reference guides target-language speech across currently supported translation languages.
✓Eligible plans can retain voice profiles in the workspace for later translation projects.
AI voice clone pricing

See the voice clone cost before translation starts.

The estimate separates base dubbing, subtitles, and the Voice Clone add-on. The final credit charge follows the measured source duration in seconds.

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Role-aware Voice Clone pricing

Voice Clone adds 1.8 credits per source minute for shared isolation. Each detected role receives a trimmed reference, billed at 1.5 credits per minute of isolated reference audio. Cloned speech also adds 0.72 credits per 1,000 translated characters, reflecting actual generation usage. The one-time 10-second preview includes Voice Clone; full-length processing uses paid credits.

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Standard voice has its own tool

Use the standard AI dubbing page when speaker matching is unnecessary. Standard AI dubbing uses 3.2 credits per minute before optional subtitles.

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Reuse the translation project

Pro and Studio workspaces can create another language from the stored source project without uploading the original video again.

What voice cloning changes

Use an AI voice clone to keep speaker identity across languages.

Standard AI dubbing replaces the source speech with a general target-language voice. An AI voice clone adds a reference taken from the source speaker so the generated dialogue can retain recognizable vocal characteristics. The goal is continuity: a presenter, instructor, founder, or narrator should feel connected to the translated version instead of being replaced by an unrelated stock voice.

Voice cloning does not copy every performance detail perfectly. Language changes rhythm, pronunciation, syllable count, and emotional emphasis. The cloned voice uses the available reference to guide tone and identity while generating speech in the selected language. The final result still needs listening review, especially when the source contains dramatic delivery, singing, whispering, strong accents, or several overlapping speakers.

DubTwin treats voice cloning as an optional stage inside video translation. Leave it off for the lower-cost standard multilingual voice. Enable it for branded or presenter-led content where voice continuity contributes to trust and recognition. The one-time 10-second preview includes Voice Clone; full-length processing uses paid credits.

01

Reference extraction

The workflow isolates a usable source voice reference before generating the translated speech, reducing interference from music and ambient sound.

02

Target-language generation

Translated dialogue is synthesized in the selected language while the reference guides recognizable qualities of the source speaker.

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Review before publishing

Listen for pronunciation, pacing, emotion, names, and brand terms before rendering or distributing the final dubbed video.

How the workflow operates

How AI voice clone video translation works from upload to MP4.

The workflow begins with speech recognition. DubTwin detects spoken segments and creates a timed source transcript. Translation then converts those segments into the target language while trying to keep each line concise enough for the original scene. When Voice Clone is enabled, the system also extracts a reference from the source audio and uses it during target-language speech generation.

Generated segments remain connected to source timestamps. This gives the renderer a structure for placing each translated line on the video timeline. When background audio is retained, the media stage combines the generated voice with supported source music and ambience. The output package can include rendered MP4 video, timed subtitle files, and generated audio segments.

A cloned voice is only one part of the quality chain. Weak transcription produces weak translation, and weak translation produces unnatural speech even if the cloned tone sounds convincing. The best result comes from clear audio, accurate terminology, concise translated lines, a clean voice reference, and a final listening pass.

01

Transcribe and segment

Speech is converted into ordered text segments with timestamps that connect the source dialogue to the translated output.

02

Translate for spoken delivery

The target text should preserve intent while remaining concise enough to fit the pacing and timing of the original scene.

03

Generate and render

The cloned voice creates target-language audio that can be combined with captions, background sound, and the source picture.

Reference audio quality

What makes a strong AI voice clone reference?

A strong reference contains one clearly audible speaker, stable volume, and limited background interference. Product demonstrations, direct-to-camera lessons, and clean podcast-style recordings usually provide better material than crowded events or outdoor clips. The system can isolate speech, but isolation cannot restore detail that the microphone never captured.

Consistency matters. A speaker who changes from whispering to shouting, moves far from the microphone, or speaks over music gives the model a less stable vocal target. Select a source section that reflects the delivery expected in the translated version. Calm instructional narration should use a calm reference; energetic marketing narration should use a representative energetic sample.

Pronunciation in the target language can still differ from the source speaker’s natural ability. A cloned voice generates new speech; it does not prove that the person actually speaks that language. Review proper nouns, acronyms, product names, and regional pronunciation. If the translated performance misstates a critical term, correct the script or use the standard voice instead.

01

One dominant speaker

Avoid clips where two people talk simultaneously or where another voice is nearly as loud as the intended reference speaker.

02

Low noise and low reverb

Use close microphone recordings when possible. Echo, traffic, music, and room noise can reduce the detail available for the reference.

03

Representative delivery

Choose source speech with the tone, energy, and vocal condition that the translated video should preserve.

Best-fit use cases

When AI voice clone dubbing adds real value.

Presenter-led content benefits most from a cloned voice. Viewers associate the visible speaker with a particular sound, so a completely different voice can weaken continuity. Courses, founder messages, product demonstrations, training libraries, and recurring video series often justify the additional processing because the same speaker identity carries across every language version.

A standard voice can be better for utility content. Screen recordings, silent product walkthroughs, slide presentations, and videos where the narrator is never seen may not need identity matching. The standard multilingual voice costs fewer credits and avoids the extra reference stage. Choosing it is a production decision, not a quality failure.

Teams should also consider volume. Voice Clone adds 1.8 credits per dubbed source minute for shared isolation. Each detected role receives a trimmed reference, billed at 1.5 credits per minute of isolated reference audio, with cloned speech measured at 0.72 credits per 1,000 translated characters. Multi-speaker cost therefore follows the reference audio actually produced rather than multiplying the full source duration by the role count. For a large archive, test representative videos first. Reserve cloning for content where the speaker is part of the brand, and use standard voices for material where clarity and speed matter more than identity.

01

Creators and presenters

Maintain a consistent connection between the visible person and the translated speech across channels and target languages.

02

Courses and training

Keep an instructor’s identity across a multilingual learning library while exporting captions for accessibility and review.

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Brand and product videos

Preserve the recognizable delivery of founders, spokespeople, and recurring narrators in localized product communication.

Cost and output choices

Compare AI voice clone cost with standard video dubbing.

Standard dubbing uses 3.2 credits per minute. Translated subtitles use 0.8 credit per minute. Enabling the AI voice clone adds 1.8 credits per dubbed source minute for shared isolation. Each isolated role reference adds 1.5 credits per minute of trimmed reference audio. Cloned speech adds 0.72 credits per 1,000 translated characters. A one-role combined voice, subtitle, and cloned-voice job starts at 5.8 credits per minute before reference and character usage. Usage is calculated from measured duration rather than rounding every partial minute up to a full minute.

The 10-second free preview can use subtitles, standard voice, or Voice Clone. This limit keeps the test focused on transcription, translation, timing, and the selected output path. Full-length processing requires paid credits. The interface shows the selected options and estimated credits before the job begins.

Cost should be evaluated against the number of target versions and the value of voice continuity. A short campaign video with a visible founder may justify cloning in every language. A long internal recording may be more economical with subtitles or a standard voice. The pricing page converts plan credits into approximate minutes for each output choice.

01

Standard dubbing

Use 3.2 credits per source minute when the translated video needs speech but does not need to match the original speaker.

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Voice and subtitles

Use 4 credits per minute for standard target-language speech plus downloadable SRT and WebVTT captions.

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Clone, voice, and subtitles

Use 5.8 credits per minute as the shared-isolation starting rate when the target version requires cloned speech and translated captions together. Multi-speaker jobs add 1.5 credits for every minute of trimmed role-reference audio, plus the translated-character charge.

Consent and review

Use AI voice clone technology with explicit control.

Only clone a voice that you own or have permission to use. A source video being publicly visible does not automatically grant permission to create new synthetic speech in that person’s voice. Teams should document the speaker’s approval, the permitted languages, the intended channels, and the period of use before processing branded or commercial material.

Translated output should be reviewed by someone who understands the target language. A convincing voice can make an incorrect translation sound authoritative, which increases the cost of unnoticed errors. Review the script and the audio separately. Confirm meaning in text, then confirm pronunciation, pacing, emotional fit, and synchronization in playback.

Disclosure requirements vary by platform and jurisdiction. The product does not determine whether a particular publication needs an AI label or speaker notice. Keep internal records linking the source, permission, translated script, generated audio, and final approved file. This makes later corrections and takedowns manageable.

01

Document permission

Record who authorized the cloned voice, which languages and projects are covered, and when the authorization expires.

02

Approve text before voice

A reviewed target-language script reduces the risk of generating polished speech that communicates the wrong meaning.

03

Retain project records

Keep the source reference, reviewed translation, generated assets, and final approval together for audit and revision.

People also ask

Questions about AI voice clone video translation.

Direct answers explain what the technology can preserve, which source audio works, how credits are calculated, and what must be reviewed before a cloned translation is published.

Can AI clone my voice in another language?
Yes. An AI voice clone can use a reference from your source speech to guide newly generated dialogue in a target language. The result may preserve recognizable vocal qualities, but language-specific rhythm and pronunciation will change. Review every translated version before publication.
Can AI translate a video and keep the same voice?
Yes, when the workflow combines transcription, translation, voice cloning, and timed audio generation. The source speaker must be clear enough to produce a usable reference. The translated output can resemble the speaker, although exact identity, emotion, and pacing are not guaranteed.
How much audio is needed to clone a voice?
The product extracts a reference from the uploaded video rather than asking for a separate fixed-length recording. Clear, uninterrupted speech is more valuable than a long noisy sample. A representative section with one speaker, low music, and stable microphone quality gives the workflow stronger material.
Does voice cloning work with background music?
The workflow can isolate a speech reference from supported source audio, but loud music or overlapping sound may reduce quality. Use the cleanest source available. Background music can be retained separately during the final rendering stage when that option is enabled.
Is AI voice clone included in the free preview?
Yes. The free experience includes one 10-second Voice Clone preview as well as subtitle-only and standard dubbing previews. Full-length processing requires paid credits.
How much does AI voice clone video translation cost?
Standard dubbing uses 3.2 credits per minute, subtitles use 0.8 credit per minute, and Voice Clone adds 1.8 credits per source minute for shared isolation. Each isolated role reference adds 1.5 credits per minute of trimmed reference audio. Cloned speech adds 0.72 credits per 1,000 translated characters. A combined cloned voice and subtitle output starts at 5.8 credits per source minute before reference and character usage.
Can I use a cloned voice for commercial videos?
Use it only when you own the voice rights or have explicit authorization from the speaker for the intended commercial use. A public recording alone does not establish permission. Review applicable contracts, platform rules, and local requirements before distribution.
Will the cloned voice preserve emotion and accent?
It can preserve some recognizable tone and delivery characteristics, but results vary. New language rhythm, different sentence length, source noise, and limited emotional reference all affect the performance. Listen to the complete target version rather than judging a single sample.
Can I reuse one voice clone for several languages?
Eligible workspaces can retain voice profiles and reuse a source project for additional languages. Each target version still requires translation and speech generation credits. Review pronunciation separately for every language because one reference does not guarantee equal performance across language pairs.
What should I check before publishing cloned dubbing?
Verify speaker permission, translation meaning, names, product terminology, pronunciation, timing, emotional fit, background mix, and subtitle consistency. Watch the rendered video from beginning to end and keep the approved script and source authorization with the project records.