FAMILIAR VS ELEVENLABS · TWO PAIRED STUDIES · AUGUST 2026

Tested more accurate than ElevenLabs.

Even just on voice, dubbing is finally good.

Familiar 01 · THE VOICE +27.8%

Familiar sounds 27.8% more like the real speakertheir Dubbing v1 · 418 paired dubs · 11 languages

CLOSER IN ALL 11 LANGUAGES TESTED
Familiar 02 · THE TRANSLATION −54.7%

Familiar made 54.7% fewer important translation errorsvs their newest Dubbing v2 (Alpha) · 111 paired dubs · 3 languages

ElevenLabs64
Familiar29
ElevenLabs 03 · THE LAUGHS +221%

ElevenLabs got laughs and reactions 221% more wrong in loudnessshape correlation +28.2% for Familiar (0.960 vs 0.749) · 18 clips / 54 comparisons

ElevenLabs3.32 dB
Familiar1.04 dB
Familiar 04 · THE SCENE

The laughter stays. The music stays.

All your sound effects and ambience: the bass, the city, the train, the party.

+270% more background-sound error · ElevenLabsthe noise bed: music, effects, and room ambience · same clips

ElevenLabs11.92 dB
Familiar3.22 dB
38/38 clips completed -- ElevenLabs rejected the one under 11 seconds One Familiar render includes translation, voice, scene audio, and lip-sync; ElevenLabs quoted $3 at checkout, audio only
ElevenLabs Dubbing v2 (Alpha) evidence ElevenLabs Dubbing v1 evidence

ELEVENLABS DUBBING V1 · 11-LANGUAGE BREAKDOWN · CLICK TO LISTEN

Hear the difference on ElevenLabs’ Dubbing v1

Loading paired benchmark records and listening examples…

ELEVENLABS DUBBING V2 (ALPHA) · THEIR NEWEST PRODUCT

Coverage and workflow failures are part of the result.

PRODUCT COVERAGE Familiar 38/38 · ElevenLabs Dubbing v2 (Alpha) 37/38
COST-CONTROLLED THREE-LANGUAGE SUBSET Mandarin Chinese · Spanish · Japanese

ElevenLabs quoted $3 per dubbed minute per language at checkout (August 5, 2026), audio only. One Familiar render includes translation, voice, scene audio, and lip-sync; access is by Studio contract.

DUBBING V2 (ALPHA) OUTPUTS All 111 paired comparisons scored

222 final audio files, matched and transcribed.

SHORT CLIPS REJECTED10.94-second Jimmy Yang clip cannot be dubbed.

Familiar completed it; ElevenLabs enforces an 11-second minimum.

ITEMS PER BATCHA catalogue job must be split almost immediately.

4 videos into 6 languages is already 24 outputs.

CONCURRENT REQUESTSMulti-video, multi-language work waits in waves.

Ten videos into ten languages creates 100 requests: at least four waves before generation time is counted.

OBSERVED CATALOGUE WORKFLOWSlow and tedious at creator-catalogue scale.

The Spanish pass alone was slow; larger catalogues can require hours of manual batching.

Selection fairness. Korean, our strongest native-review language, was not selected.

111 PAIRED FINAL-AUDIO OUTPUTS

Final-audio results: Familiar vs ElevenLabs Dubbing v2 (Alpha)

95% intervals resample source clips.

ElevenLabs: 270% more background-sound error 11.92 vs 3.22 dB MAE · Familiar 73.0% lower · paired 95% CI excludes zero
ElevenLabs: 221% more laughter/reaction loudness error 3.32 vs 1.04 dB · Familiar 68.8% lower · 18 clips / 54 comparisons
28.2% higher laughter/reaction shape correlation 0.960 vs 0.749 · 18 clips / 54 paired comparisons · paired 95% CI excludes zero
ElevenLabs: 121% more important spoken translation errors 64 vs 29 · Familiar 54.7% lower · 111 paired final-audio comparisons
ElevenLabs: 56.5% more finished dubs with any important meaning problem 36 vs 23 · Familiar 36.1% lower · paired 95% CI excludes zero
+3.5% point estimate speaker-resemblance median 0.485 vs 0.469 SIM-o · sample was not large enough to prove a real lead
No clear winner predicted voice naturalness 2.490 vs 2.494 UTMOS · uncertainty is broad
38/38 vs 37/38 source-clip coverage ElevenLabs rejected the 10.94-second clip under its 11-second minimum.

How meaning was checked: each finished dub was transcribed with Scribe v2, then manually reviewed against the same approved target meaning; valid paraphrases accepted.

Observed in the ElevenLabs website Dubbing v2 (Alpha) workflow on August 5, 2026. Product limits may change.

ELEVENLABS DUBBING V1 · 38 CLIPS · 11 LANGUAGES · 418 PAIRED TRIALS

Final-audio results: Familiar vs ElevenLabs Dubbing v1

Familiar sounds 27.8% more like the real speaker than ElevenLabs Dubbing v1 (0.4605 vs 0.3604 speaker resemblance); all 11 languages favored Familiar.

Familiar made 48.8% fewer review-flagged spoken-output mistakes (132 vs 258).

418 paired outputs · 11 languages · August 5, 2026

Speaker resemblance by language (Dubbing v1)
Speaker resemblance · cosine similarity to the source speaker · 38 clips per language
LanguageFamiliarElevenLabs Dubbing v1
Spanish0.47370.3633
Portuguese0.44030.3398
French0.45350.3666
Korean0.45130.3647
Arabic0.43690.3511
Mandarin Chinese0.47100.3733
Japanese0.45710.3682
Hindi0.50210.3492
German0.47050.3753
Russian0.44050.3489
Indonesian0.46870.3640

Higher-is-better measures lead with Familiar's gain; lower-is-better measures lead with how much more error ElevenLabs produced.

More recognizable voices

Source-speaker resemblance was higher in every target language.

Fewer problems in the final spoken audio

Review found 132 individual issues in Familiar outputs and 258 in ElevenLabs outputs.

The scene survived the dub

Laughter shapes, the noise bed, and transient timing stayed closer to the source.

PLAIN-LANGUAGE METRIC GUIDE

What every term means