MEASURED REVIEW

ElevenLabs Dubbing Review: What We Measured

FAMILIAR RESEARCHUPDATED ALL ARTICLES
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ABSTRACT

ElevenLabs Dubbing is audio only; measured on the same clips, ElevenLabs Dubbing v2 (Alpha) had 270% more background-sound error than Familiar (the laughter, the music, the ambience) and Familiar made 54.7% fewer important spoken translation errors (29 vs 64; 111 paired outputs across Mandarin, Spanish, and Japanese, August 5, 2026). On ElevenLabs Dubbing v1, Familiar sounds 27.8% more like the real speaker, closer in all 11 languages (418 paired outputs). Full data and listening examples: the full ElevenLabs benchmark.

What ElevenLabs Dubbing is

DUBBING V1

  • The stable, programmatic path most integrations use.

DUBBING V2 (ALPHA)

  • The newer product, offered through the website.

Both take a video or audio file, transcribe it, translate the script, and speak the translation in a voice meant to match the original speaker.

The measurements below are audio against audio.

AUDIO ONLYNO LIP-SYNCTHE FACE STILL SPEAKS THE ORIGINAL LANGUAGE

What it does well

A MATURE, WELL-DOCUMENTED API
Stable endpoints, straightforward integration.
A VERY WIDE LANGUAGE LIST
Useful when the target language is far outside the mainstream.
STRONG STANDALONE TEXT-TO-SPEECH
For narration and voice-over from a script, it remains a leading tool.
THE CATEGORY'S BIGGEST BRAND
The product most people find first when they search voice cloning, AI dubbing, or AI lip sync.

What we measured

Two paired, black-box studies, both run on August 5, 2026.

  1. 01

    The same source clips and target languages went to each system.

  2. 02

    Only the final user-facing audio was evaluated.

  3. 03

    The two studies are reported separately.

STUDY A · VS DUBBING V1
FIG. 01 · SPEAKER RESEMBLANCE · DUBBING V1 · FAMILIAR +27.8% · ALL 11 LANGUAGES
FAMILIAR0.4605
ELEVENLABS0.3604
+95.5%

ElevenLabs had 95.5% more review-flagged spoken-output mistakes.

258 VS 132
+261%

ElevenLabs produced 261% more background spectral error.

12.27 VS 3.40 dB
+10.2%

Predicted naturalness for Familiar.

2.51 VS 2.28 · EXPLORATORY
Laughter and reaction shape correlation: Familiar +243.7% higher, 0.759 vs 0.221. Sound-effect and beat timing F1: Familiar +24.3% higher, 0.947 vs 0.762.
STUDY A | 418 PAIRED OUTPUTS | 38 CLIPS | 11 LANGUAGES | RUN AUGUST 5, 2026
STUDY B · VS DUBBING V2 (ALPHA)
FIG. 02 · IMPORTANT TRANSLATION ERRORS · DUBBING V2 (ALPHA) · FAMILIAR 54.7% FEWER · 111 PAIRED DUBS
ELEVENLABS64
FAMILIAR29
FIG. 03 · DUBS WITH AN IMPORTANT MEANING PROBLEM · DUBBING V2 (ALPHA) 36/111 VS FAMILIAR 23/111 (+56.5%)
  • Dubs with at least one important meaning problem32%
  • Dubs without an important meaning problem68%
270%

ElevenLabs produced 270% more background-sound error: the laughter, the music, the ambience.

11.92 VS 3.22 dB MAE
+221%

ElevenLabs produced 221% more laughter and reaction loudness error.

3.32 VS 1.04 dB · 18 CLIPS / 54 COMPARISONS
+28.2%

Familiar's laughter and reaction shape correlation: 0.960 vs 0.749. The paired 95% interval excludes zero.

Speaker resemblance: inconclusive at this sample size (a +3.5% point estimate for Familiar; the interval crossed zero); so was predicted naturalness. Coverage: Familiar completed 38/38 source clips; Dubbing v2 (Alpha) rejected the 10.94-second clip under its 11-second minimum (37/38).
STUDY B | 111 PAIRED OUTPUTS | MANDARIN, SPANISH, JAPANESE | RUN AUGUST 5, 2026
FIG. 04 · SAME-CLIPS QUALITATIVE AUDIT · ELEVENLABS FAULTS BY CLASS · AUGUST 5, 2026
WORDS45
LAUGHS/FX8
VOICE LOST6
OVERLAP6
DELIVERY4
AMBIENCE4
WORDS
THE COUNT45
WHAT IT SOUNDS LIKEDropped or invented.
LAUGHS/FX
THE COUNT8
WHAT IT SOUNDS LIKELaughs and sound effects broken.
VOICE LOST
THE COUNT6
WHAT IT SOUNDS LIKEThe speaker's voice lost.
OVERLAP
THE COUNT6
WHAT IT SOUNDS LIKESpeakers collided into one voice.
DELIVERY
THE COUNT4
WHAT IT SOUNDS LIKEFlattened.
AMBIENCE
THE COUNT4
WHAT IT SOUNDS LIKENoise bed stripped.

Confidence intervals, per-language splits, and listening examples: /benchmark/elevenlabs. The full head-to-head: Familiar vs ElevenLabs Dubbing: Two Paired Studies.

Workflow limits at catalogue scale

Observed August 5, 2026:

11 s

Minimum clip length. Shorts, cold opens, and reaction cuts below it cannot be dubbed; our 10.94-second clip was refused.

20

Items per batch. Four videos into six languages is 24 outputs, more than one batch holds.

30

Concurrent requests. Ten videos into ten languages is 100 requests: at least four waves.

v1

Editing the translation. On the current Dubbing v2, transcript editing and audio regeneration through the API are for Enterprise plans only; the full editor, Dubbing Studio, runs on the v1 model, in maintenance mode (their docs, October 30, 2026).

None of this matters for one video into one language. For a back catalogue or a roster of multi-language channels, Best Alternatives to ElevenLabs for Dubbing compares the options. Catalog and launch playbooks: How Streaming Platforms Close the Local-Language Gap and Multi-Country Launches: Dubbing Every Market at Once.

ElevenLabsElevenLabsElevenLabsTHEIR DOCS, READ OCTOBER 30, 2026

Editing the translation means their old model.

On ElevenLabs' current Dubbing v2, in alpha, editing the translation and regenerating the audio through the API is for their Enterprise plans only. Their full editor, Dubbing Studio, is "only available via the v1 model" and "in maintenance mode", in their words. Dubbing v1 is the model our 418-pair study measured, and its output is mono.

+27.8%

FAMILIAR CLOSER TO THE REAL SPEAKER · ALL 11 LANGUAGES

261%

ELEVENLABS MORE BACKGROUND ERROR · THE MUSIC, THE AMBIENCE

+243.7%

FAMILIAR ON LAUGHTER AND REACTION SHAPE

ELEVENLABS DUBBING V1 · 418 PAIRED OUTPUTS · 11 LANGUAGES · AUGUST 5, 2026Read the study Their docs

Price

ALL-IN

One Familiar render, per finished minute per target language: the translation, the speaker's own voice, the scene audio, and the lip-sync, delivered up to 4K with a true 5.1 or stereo mix.

ACCESS BY STUDIO CONTRACT
$3

ElevenLabs Dubbing, per dubbed minute per target language. Audio only.

CHECKOUT QUOTE · AUG 5, 2026

Stitching on lip-sync through Sync.so, the best standalone tool, adds $8 a minute: $11 combined, still without a 5.1 mix. ElevenLabs' own documentation, on the audio of its dubs:

…at most stereo… 5.1 and other multichannel audio is not preserved.
ElevenLabs Help Center, which file formats are supported by Dubbing

For scale, full human dubbing, translation plus voice, runs $70 to $150 per finished minute; at that rate it isn't usable for most of the world. The visual high end is assistive: tools like Flawless TrueSync need a team of VFX artists and weeks per project, and every language is a new project. ElevenLabs dubs in one shot and gives up the rest measured above; Familiar is one shot and the quality.

The wider price landscape, including human dubbing rates: How Much Does Dubbing Cost in 2026?

Verdict

DUBBING VIDEO

The measurements point elsewhere.

STANDALONE VOICE GENERATION
THE VERDICTElevenLabs remains a leading tool; for audio-only dubbing into a long-tail language it may be the only practical option.
DUBBING VIDEO
THE VERDICTFewer translation errors and lower scene-audio error in both studies; a voice 27.8% closer to the real speaker on the Dubbing v1.
ON SCREEN
THE VERDICTA face that speaks the new language, lip-sync and the full facial performance beyond it.
THE TRANSLATION TEXT
THE VERDICTSeparately tested against expert professional translators, and it matches their first pass (AI vs Human Translation: Tested Against Professionals).
HeyGenHeyGenElevenLabsElevenLabsHeyGen + ElevenLabsONE-SHOT TOOLS · NO CONTROL

One shot today means giving up the rest.

The one-shot tools today give up the rest: the translation cannot be edited, the music and the room drop out, the voice drifts, and the lips fail on a hand over the face, a microphone, blur, bokeh, a side view or several people in frame. No spatial reasoning, no understanding of the world, no control. ElevenLabs' current Dubbing v2 edits only through an Enterprise API, and its full editor is the older model, in maintenance mode; HeyGen stitches a lip-sync over a dub like that, and the lip-sync breaks on the ordinary shots of any episode. Familiar is one shot and the quality: translation first, reviewed; then the voice, the lips and the scene together, through the hard shots.

54.7%

FEWER TRANSLATION ERRORS · FAMILIAR VS ELEVENLABS DUBBING V2

270%

ELEVENLABS MORE BACKGROUND-SOUND ERROR · THE LAUGHTER, THE MUSIC, THE AMBIENCE

+27.8%

FAMILIAR CLOSER TO THE REAL SPEAKER

FAMILIAR · ONE SHOT AND THE QUALITYFamiliar vs Flawless TrueSync The ElevenLabs study The demos
30 LANGUAGES, ANY TO ANYTRANSLATION + VOICE + SCENE AUDIO + LIP-SYNC, ONE RENDERUP TO 4K PICTURE · TRUE 5.1 MIXACCESS BY STUDIO CONTRACT, SIZED TO YOUR CATALOG

REFERENCES

  1. [1]Familiar vs ElevenLabs benchmark: full results, intervals, and listening examples
  2. [2]AI vs Human Translation: Tested Against Professionals (the full translation study)
  3. [3]ElevenLabs Dubbing documentation
  4. [4]ElevenLabs Help Center: which file formats are supported by Dubbing (audio at most stereo; 5.1 not preserved)

Multimodal Translation

Familiar Labs builds generationally better dubbing with a Multimodal Localization Decision Model (MLDM), the first foundation model for multimodal translation: one model decides what to localize across text, audio and visual, and shows you the choices. Your voice and lips, carried into new languages. They're a team of 8 with PhDs, backed by Samsung, RedBird, Gold House. Our mission

See the full benchmark →Talk with the team