Editing
AI Lip Sync
You have a portrait or a video of a spokesperson and a recorded voiceover, and the mouth needs to match. Martini chains an audio node into a lip-sync video node so your character speaks the line cleanly — same identity, accurate phonemes, frame-aligned. Works for spokespersons, dubs, and dialogue scenes.
What this feature solves
Spokesperson video used to mean booking talent, a studio, lights, audio, and a half-day shoot for thirty seconds of dialogue. AI lip sync collapses that to a portrait, a script, and a voice take — but only if the sync is good. Bad lip sync is uncanny and unusable: the mouth lags, the phonemes are wrong, the head moves like a doll. Brands cannot ship that.
Stand-alone lip-sync tools force a brutal handoff. You generate the voiceover in one tool, the portrait in another, and try to bolt them together in a third — losing identity along the way and ending up with mouth shapes that fight the audio. There is no canvas where voice, video, and sync live together as one chain, which means every revision is a multi-tool re-do.
The deeper need is multi-language dubbing and dialogue at scale. International campaigns, course content, and explainer video all require the same spokesperson speaking different scripts and languages. Without a workflow that holds the character identity while changing the audio, every language becomes a new generation, a new approval cycle, and a new chance for the talent to look slightly off.
Why Martini is different
Martini chains audio and video on one canvas. ElevenLabs or Fish Audio generates the voice in an audio node. The script reads, the take is approved, and the audio output wires directly into a lip-sync-capable video node — Kling Avatar or a comparable engine. The mouth shapes drive from the audio, the identity stays locked from the upstream portrait, and you ship the clip without leaving the canvas.
Reference-based identity locking carries through the sync. Your character lives upstream as an image node, gets motion in a video node (Vidu, Kling 3, or Hailuo), then receives the lip-sync layer with the audio chain. Because the canvas remembers the lineage, the spokesperson on the lip-synced clip is the same person as the spokesperson on the hero photo. No drift between modalities.
Multi-language dubbing becomes a fanout, not a re-build. Generate the same script in five languages on five ElevenLabs nodes, fan them into five lip-sync nodes that all share the same upstream character, and ship five localized cuts from one canvas. The character identity holds, the phonemes adjust per language, and the editorial team has a real workflow for global campaigns.
Common use cases
Spokesperson explainer videos
Sync ElevenLabs voice to an AI spokesperson portrait for explainer and product videos that ship without a shoot day.
Multi-language brand dubs
Generate the same campaign in multiple languages with the same spokesperson identity locked across every cut.
Dialogue scenes for narrative video
Sync character dialogue in short films and serialized content without booking voice actors and on-camera talent.
Course narration and educational video
Build long-form course content with a consistent host whose mouth matches the script across modules.
Localized social media content at scale
Run global social campaigns where the same persona delivers regional messaging in each local language.
Customer service and product walkthroughs
Produce on-brand walkthrough videos with a spokesperson who speaks the script accurately every time.
Recommended model stack
kling-avatar
videoLip-sync-aware video generation with strong portrait fidelity.
hailuo
videoFast iteration for portrait-to-talk workflows with talent references.
elevenlabs
audioBest-in-class voice synthesis for spokesperson and narrative dialogue.
fish-audio-s2
audioHigh-quality voice synthesis with strong multi-language coverage.
nano-banana-2
imageGenerate the upstream character portrait with locked identity.
How the workflow works in Martini
- 1
1. Lock the character upstream
Generate or upload the spokesperson portrait in an image node. Use Nano Banana 2 if you need to create a new character — high-quality, well-lit portrait works best as the source.
- 2
2. Write the script in a text node
Drop the dialogue script into a text node. Keep lines natural and within typical spoken cadence — overly long sentences break sync quality.
- 3
3. Generate the voiceover
Wire the script into an audio node — ElevenLabs for English and most major languages, Fish Audio for additional language coverage. Pick a voice that matches the spokesperson persona.
- 4
4. Chain into a lip-sync video node
Connect the character portrait and the voice take into a Kling Avatar or compatible video node. The model drives mouth shapes from the audio while preserving the character identity.
- 5
5. Review for sync and identity
Watch the clip end to end. Check that mouth shapes match phonemes, head movement looks natural, and the spokesperson identity holds. Re-run the lip-sync node if any of these drift.
- 6
6. Export to your NLE
Push the synced clip into Premiere, DaVinci, or Final Cut via NLE export. The audio and video are aligned, codec is clean, and the editor finishes color and mix.
Example workflow
A SaaS company is launching a new feature in five markets and needs five 30-second spokesperson cuts in five languages — all featuring the same brand spokesperson named Alex. They generate Alex's canonical portrait on Nano Banana 2 and pin it as the anchor. Five text nodes hold the localized scripts (English, Spanish, French, German, Japanese). Five ElevenLabs audio nodes voice each script. Five Kling Avatar lip-sync nodes pull the same Alex portrait and each language's voice. Within an afternoon, the team has five fully synced spokesperson clips with identical identity across every language. NLE export ships the deliverables to the post team for grade and final mix. No talent booking, no studio, no five separate generations of "Alex" who all look slightly different.
Tips and common mistakes
Tips
- Keep dialogue lines under 8-10 seconds for the cleanest sync. Long sentences accumulate timing drift.
- Use a clean, well-lit portrait as the upstream character. Sync quality starts with reference quality.
- Match voice persona to the visual character — a youthful voice on a mature portrait reads as fake.
- For multi-language work, fan out audio nodes from the same script and feed them into separate lip-sync branches.
- Re-run only the lip-sync node when sync is off — the upstream character does not need to regenerate.
Common mistakes
- Using a low-quality or stylized portrait. Lip-sync amplifies every reference flaw — start with a clean source.
- Writing dialogue with unusual cadence or stacked clauses. Natural conversational lines sync best.
- Mixing portrait references mid-chain. The sync node averages them and you lose identity.
- Skipping the audio review step. Bad voice take always produces bad sync — fix the audio before chaining.
- Treating lip-sync as a final filter on top of any video. Best results come from an upstream chain that locks identity from the portrait, not a one-off retrofit.
Related how-to guides
Related models and tools
Tool
AI Lip Sync
Lip-sync tools on Martini for syncing voice and dialogue to portraits and video.
Provider
Kling
Kling 3, O3, and Avatar video model workflows on Martini.
Provider
ElevenLabs
ElevenLabs voiceover, lip-sync, and voice cloning workflows on Martini.
Provider
Minimax
Minimax's Hailuo video model and adjacent audio workflows on Martini.
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AI Video Editing — Transform and Extend Existing Clips
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AI Image Upscaler — Upscale Keyframes and Stills on Martini
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Related docs
Related reading
Comparisons
Frequently asked questions
Which model gives the best lip-sync quality?
Kling Avatar is the strongest lip-sync-aware video model for portrait-driven dialogue work. For talent-heavy spokesperson cuts, Hailuo handles portrait references quickly. The audio source matters as much as the video model — ElevenLabs voices sync more cleanly than lower-quality TTS.
How many languages does this support?
Sync quality follows the audio source. ElevenLabs covers 30+ languages with high quality, Fish Audio adds further coverage for Asian languages. The lip-sync video model generates mouth shapes from the audio waveform, so any language with clean voice synthesis can drive the sync.
Will the spokesperson identity hold across the synced clip?
Yes, when you chain it correctly. Lock the character upstream as an image node, feed it into the lip-sync video node, and the identity carries through. For best results, keep the dialogue under 10 seconds per take — long sustained takes allow more drift than short cuts chained together.
Can I dub an existing live-action video?
Lip-sync models can re-sync mouth shapes on existing footage given clean audio. For best results, the source video should have a clear front-facing portrait shot. Dubs over heavily-edited live-action with cuts and angle changes are harder — chain into Martini lip-sync and review carefully.
How long can a single synced clip be?
Most lip-sync models perform best at 5-15 seconds per take. For longer dialogue, break the script into shorter takes and chain them in the sequence builder. Identity holds better across short takes than across one long sustained generation.
Does it cost more than just generating the voice?
Yes — lip-sync requires both the audio generation cost (ElevenLabs or Fish) and the video generation cost (Kling Avatar or comparable). The combined cost is still dramatically lower than a real spokesperson shoot, especially when you factor in talent booking, studio time, and post-production.
Build it on the canvas
Open Martini and wire this workflow up in minutes. Free to start — no card required.