Familiar vs Flawless TrueSync: Full AI Dubbing vs Assistive Visual Dubbing (2026)

01. One shot, not weeks

Flawless TrueSyncFamiliar

At the other end, the one-shot tools today are fast and 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, with no spatial reasoning and no understanding of the world. Familiar is one shot and the quality: it takes the finished title and returns the dub, every language from one upload, with every decision recorded.

02. Where the weeks go

An assistive visual-dubbing project, for each title and each language:

1. 01

   The master and a dubbed audio track, already recorded in the target language, go in.

2. 02

   The model syncs each on-screen performance to the new dialogue.

3. 03

   A team of VFX artists carries the rest: they crop every face in every frame, decide by hand who is speaking, and fix occlusions (hands, microphones, objects over the face), fast motion, out-of-focus blur and bokeh, and shots where several people talk.

4. 04

   The team reviews the result at 8K.

5. 05

   Delivery flows through Pixelogic or Deluxe.

Flawless describes visual dubbing as performance synced to new dialogue "under human editorial supervision", and the 8K review and the Pixelogic and Deluxe delivery are on its localization page. The one public timeline is Fall's: replacing more than 30 swear words "took two weeks".

HeyGenElevenLabsHeyGen + 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 →

03. What each one does

04. Where assistive visual dubbing wins

The theatrical release of one title, with the production in the room. Flawless's own milestone is the case: Watch the Skies, originally UFO Sweden, went from Swedish to English through TrueSync and became the first visually dubbed film released in theaters; its producer called it a game changer for the movie industry.

• 8K review and delivery. Familiar renders up to 4K today. For an IMAX or premium theatrical master, the assistive pass is the one that reaches the resolution.
• The director's standards as the QC bar. Every performance is reviewed by the people who made it.
• Your existing dub, kept. If a title already has a human dub the studio loves, TrueSync moves the faces to it without touching the audio.

05. Where the full thing wins

Everything that is not one flagship title. A platform holds thousands of titles and no director to call. An assistive pass needs three things per title per language that a platform rarely has: a recorded dub, a person to mark which face speaks each line, and a review pass shot by shot. The full thing works after the fact, on the finished title as it is: the back catalog, the acquired title, the series that shipped years ago.

ElevenLabsElevenLabsTHEIR 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 ↗

The measured claims above come from paired, black-box studies published at the ElevenLabs benchmark and the human-translation benchmark.

06. Beyond the title

Familiar dubs anything that puts a real person in front of an audience: series and micro-dramas, education, ads, corporate communication, broadcasts, creator channels, all into 30 languages from the finished file.

07. The engagement numbers, and whose they are

Flawless publishes three figures on its localization page, with its own comparators; they make the case for the whole category:

08. What to test on your own title

Run one scene through any visual-dubbing vendor and watch for:

• Two people talking in one shot. Does each face get its own new dialogue, and who had to mark which is which?
• A hand, a microphone or a glass across the mouth. Does the sync hold through the occlusion or drop out?
• A face in profile, or turning away mid-line. Does the mouth keep the new words from the side?
• A crowd scene with music under the dialogue. What happens to the crowd and the score in the delivered mix, and does it come back in 5.1 or stereo?
• The voice. Who records it, and does it sound like the actor in every language?
• What you must supply. Only the master, or the master plus a recorded dub per language?
• The human pass. How many shots need a person, and how long does a 90-minute title take per language?
• Resolution. What you deliver at: 8K on the assistive side, up to 4K on Familiar today.

QUESTIONS