Sound in AI video is produced three ways in 2026: native audio, where the model generates dialogue and sound with the picture (Kling 3.0, Veo 3.1, Seedance 2.x); lip sync, where a separate model animates a face to an audio file; and performance transfer, where a real actor's take drives a generated character (Runway Act-Two).
For Arabic, native audio is not yet available on the main models, so the working method is voice first with ElevenLabs, then lip sync.
The three routes, and when each fits
Native audio is fastest, lip sync is most controllable, and performance transfer is most human. Native audio suits a presenter line in a supported language where you want one generation and no audio editing. Lip sync suits anything where the words, voice or language must be exact, which is every Arabic piece and most ads. Performance transfer suits emotional dialogue.
Native audio means dialogue, effects and ambience generated together with the frames rather than layered on afterwards. Kling 3.0 generates dialogue with what Kling calls precise character-level lip sync (source: Kling); Veo 3.1 is described by Google as "Video, meet audio" and generates sound with the picture (source: Google); Seedance 2.0 launched with two-channel stereo output and multi-track music, ambience and dialogue (source: ByteDance Seed).
Lip sync takes an approved still or clip and an audio file and animates the mouth, head and expression to match. Performance transfer, Runway's Act-Two, drives a character's performance from a video of a real actor "so the emotion and timing of a real take carry through" (source: Runway). The three are not competitors; a single 60-second piece often uses two of them.
Native audio: what each model does
The three native-audio models differ in language, control and price, and the differences decide which you reach for. Kling 3.0 produces native dialogue in Chinese, English, Japanese, Korean and Spanish, with dialects and accents within those languages (source: Kling). Veo 3.1 generates dialogue, effects and ambience at 720p, 1080p or 4K in 4, 6 or 8 second clips (source: Google).
Seedance 2.x adds multi-track stereo.
Control is where Kling leads for scripted work. On Higgsfield, Kling 3.0 adds Voice Binding, which locks a character's voice across cuts and five languages (source: Higgsfield), so a presenter sounds the same in shot one and shot nine. Kling's storyboard mode also sets dialogue per segment, which is how a multi-shot ad with lines in each shot is generated in one run.
Price is the trade-off. Kling 3.0 at 1080p costs 12 credits per second with native audio and 8 without; at 720p, 9 and 6; voice control adds 2 credits per second (source: Kling). Audio therefore adds about 50 percent to the generation cost, and a failed take with audio costs the same as a good one. Generate the silent version to lock the picture, then add audio on the take you keep.
Lip sync: the talking-avatar models
Lip sync is the route for exact words in any language, and in 2026 the models are good enough that the failures are in the script and the source image rather than the mouth. Higgsfield's Lip-Sync Studio gathers several under one interface: Speak v2, lipsync-2, InfiniteTalk, Kling AI Avatar, Kling Lipsync and Veo 3 (source: Higgsfield).
Its talking-avatar page lists 74-plus languages and export in 9:16, 1:1 and 16:9 up to 4K (source: Higgsfield).
The costs Higgsfield publishes: Veo 3 at about 58 credits per 1080p clip, and Kling 2.6 at roughly 20 short clips per 120 credits (source: Higgsfield). The workflow it recommends is the one that works: write for spoken delivery in short sentences, generate expressive audio first, use a clean front-facing source image, review the whole performance including eyes and head rhythm, and change one element at a time (source: Higgsfield).
The rule that matters most is length. Higgsfield's guidance is to keep individual generations under 30 seconds and cut between them, because gesture repetition accumulates and becomes visible in longer takes (source: Higgsfield). A 90-second presenter piece is three or four generations, each with a fresh source frame or a cut to a product shot between them.
The Arabic workflow: voice first, face second
Arabic is the language most GCC briefs need and the one the native-audio models do not yet speak, so the method is two steps: generate the voice with a text-to-speech model that supports Arabic, then lip-sync the face to that file.
Kling 3.0's native dialogue does not include Arabic (source: Kling), and Higgsfield's video-translation tool lists Arabic as coming soon (source: Higgsfield Audio).
For the voice, ElevenLabs is the practical default. Its Multilingual v2 model lists Arabic for Saudi Arabia and the UAE among its 29 languages, and its documentation advises choosing a voice with an accent that matches the target region (source: ElevenLabs). Its voice library carries Gulf, Egyptian and Modern Standard Arabic voices, including Emirati Gulf voices (source: ElevenLabs voice library). Higgsfield Audio also runs Eleven v3 alongside MiniMax Speech and VibeVoice for text-to-speech in more than 70 languages (source: Higgsfield Audio).
Then the picture: take the approved still of the presenter and the Arabic audio file into a lip-sync model. Two practical notes from doing this on client work. Write the Arabic for the ear, not the page, and have a native speaker of the target dialect read it aloud before generating, because a Gulf audience hears a Levantine or MSA read instantly. And keep each generation under 30 seconds as above; Arabic sentences run long, so the script needs cutting into short spoken units.
Voice cloning and consent
A cloned voice is a likeness, and it needs the same written consent as a face. ElevenLabs offers professional voice cloning on paid plans; the Creator plan at USD 22 a month unlocks it, while the free tier gives 10,000 characters a month with premade voices (source: AI Shortcut Lab).
Higgsfield Audio lets a user create up to three custom voices from uploaded MP3 or WAV recordings (source: Higgsfield Audio).
The rules are the ones that apply to any likeness. In the UAE, content that breaches privacy or damages reputation carries fines from AED 150,000 to 500,000 under the Cybercrimes Law; in Saudi Arabia, SDAIA's May 2026 deepfake guidelines require explicit consent before using any individual's likeness and visible watermarks on synthetic content. A release written for a normal voice-over session may not cover synthetic recreation, so the release must say so.
For a brand presenter, the cleanest route is an invented voice from a library rather than a clone of a real employee, unless that employee will front the brand for years and has signed accordingly. A licensed library voice has no consent chain to maintain and does not leave with the person.
Music and sound design
Music and effects are still mostly added in the edit, and the AI part is smaller than the marketing suggests. Seedance 2.x generates background music and ambience with the picture (source: ByteDance Seed), and Veo 3.1 generates effects and ambience (source: Google), which is enough for a social cut.
For anything that needs a licensed track, a consistent sonic identity or a mix, it is a normal edit and a normal music licence.
The practical order for a finished piece: lock picture, place dialogue (native or lip-synced), then music and effects under it in the editor, then a loudness pass for the platform. Generated ambience from the video model is useful as a bed; it is rarely the final mix.
What NotBoring does with this
NotBoring is a Dubai creative production agency making cinematic and AI-generated video for brands across the GCC, and this is the sound workflow it runs: native audio on Kling or Veo for English presenter lines, ElevenLabs Arabic voice plus lip sync for Arabic, library voices unless a signed release covers a real person, and every talking generation under 30 seconds.
Sound and voice is topic 10 of the in-person AI Video Production Workshop in Dubai, where the same workflow is taught on Higgsfield.