AI Language Solutions
Enterprise AI Dubbing
in 200+ Languages.
Translife AI Dubbing translates video and audio into 200+ languages and dialects. Humanoid neural voices replicate human emotion, vocal pitch, and natural breathing — while automated lip-synchronisation matches mouth movements to the translated dialogue.
Mon–Fri 9–6 GMT+8 · MY: +60384081397 · SG: +6586605216
100+
Languages
10,000+
Clients Served
21+
Years Experience
PM-led
Project-Managed
Selected clients in Malaysia
- Languages & Regional Dialects
- 200+
- Prosody-Match Accuracy
- 98.4%
- Full Studio Turnaround
- <24 hrs
- Cost Reduction vs. Legacy Studios
- 85–90%
The technology
What is enterprise AI dubbing?
Multi-modal neural media localisation — not simple text-to-speech.
AI dubbing is the end-to-end process of replacing a video’s spoken dialogue with AI-synthesised speech in another language — preserving the original speaker’s voice identity, emotional delivery, and lip-sync timing, while keeping the music and sound effects intact.
It differs from text-to-speech (TTS), which reads isolated text with a generic voice. Enterprise AI dubbing is a multi-modal pipeline: speech recognition, neural machine translation, cross-lingual voice cloning, prosody transfer, and visual lip re-synchronisation — delivered as a broadcast-ready video file.
Translife AI Dubbing translates video and audio into 200+ languages and regional dialects. Humanoid neural voices replicate human emotion, vocal pitch, and natural breathing, and automated lip-synchronisation matches speaker mouth movements to the translated dialogue. The result is indistinguishable from a native-language recording — produced in hours, not weeks.
For off-screen narration where no mouth is visible — e-learning modules, explainer videos, product walkthroughs, IVR and corporate narration — the same engine delivers AI voice over without the lip-sync stage. One workflow covers both.
Generation 1
Robotic Concatenation
Early text-to-speech stitched pre-recorded syllables into monotone, uninflected audio. Pronunciation was technically correct but sounded mechanical, with no breathing, no pauses, and no emotional intent. Usable for IVR menus; unusable for brand storytelling.
Generation 2
Parametric & Deep Neural TTS
Deep neural networks smoothed pronunciation and intonation, producing fluent narration that still lacked conversational texture — no micro-hesitations, no contextual laughter or sighs, and a flat emotional register across every sentence.
Generation 3
Humanoid Neuro-Acoustic Voice
Current-generation latent acoustic models reproduce the full human vocal instrument: micro-breaths, pitch modulations, emotional conditioning (joy, urgency, empathy), prosodic cadence — and critically, the preservation of one speaker's timbre across 200+ languages.
Core technical concepts
Formant Preservation
The vocal fingerprint — formant frequencies, harmonic ratios, and resonance — is extracted once from the source speaker and held constant in every target language, so a CEO in Kuala Lumpur sounds like the same person in Tokyo, Berlin, and São Paulo.
Prosody Conditioning
Rhythm, stress, and pacing are conditioned on narrative intent. A compliance warning lands differently from a product launch, and the model adjusts cadence, pause placement, and emphasis accordingly.
Generative ADR
Automated Dialogue Replacement re-engineered for generative AI: instead of actors re-recording lines in a booth, the translated performance is synthesized to match the original actor's timing, energy, and mouth movements.
Head-to-head
AI humanoid voice vs. traditional voiceover talent
An honest operational comparison across the ten dimensions that matter to production teams.
| Evaluation metric | Traditional voiceover pipeline | Translife humanoid AI dubbing | Operational impact |
|---|---|---|---|
| Language scaling | Requires recruiting 200+ distinct actors across multiple global agencies. | A single voice profile translates seamlessly into 200+ languages. | Global brand identity continuity. |
| Speaker identity | The voice actor sounds completely different from the original speaker. | The original speaker's timbre, frequency, and resonance are cloned. | Authentic speaker representation. |
| Production speed | 2 to 6 weeks for booking, studio recording, retakes, and mastering. | Under 24 hours for full multi-track export and lip-syncing. | Immediate time-to-market. |
| Cost per finished minute | $75–$250+ per minute per language ($15,000+ for 10 languages). | $5–$20 per minute across batch enterprise runs (85–90% savings). | Drastic budget efficiency. |
| Script updates & re-takes | Requires re-booking talent, studio fees, and hourly minimums. | Dynamic text updates re-rendered in seconds with zero session fees. | Agility for product & legal updates. |
| Emotional nuance | Variable — depends on talent fatigue, actor skill, and studio conditions. | Predictable, repeatable emotion conditioning (joy, urgency, empathy). | Standardised corporate delivery. |
| Dialectal availability | High scarcity of native speakers for regional and sub-national dialects. | 500+ regional dialects natively synthesised on demand. | True hyper-local penetration. |
| Audio–video lip sync | Requires manual dialogue rewriting (lip-flap dubbing) by adapters. | Neural viseme alignment matches mouth shapes to phonemes. | Elimination of dubbing dissonance. |
| Stems & background balance | Manual re-recording of Foley, music, and ambient tracks often required. | Neural stem separation isolates voice while preserving music and SFX. | Pristine cinematic soundscape. |
| Quality control & QA | Manual listening sessions with inconsistent talent availability. | Automated phonetic linting plus optional ISO 17100 linguist review. | 99.8% semantic accuracy. |
Traditional dubbing was designed for a world of one or two languages. The moment a campaign spans ASEAN, East Asia, Europe, and the Middle East, the model breaks: casting calls per language, studio calendars per city, union and licensing paperwork per actor, and a different voice representing your brand in every market. A regional product launch that needs twelve languages can spend more time booking talent than producing the video itself.
There is also the identity problem. When a founder, keynote speaker, or film lead is re-voiced by thirty different actors, audiences in thirty territories form thirty different impressions of the same person. Humanoid AI dubbing removes that discontinuity: one cloned voice carries the speaker’s pitch, warmth, and authority into every language.
The honest caveat: for flagship cinematic releases and award-tier advertising, specialist voice directors still add interpretive artistry. That is why Translife runs a hybrid model — AI handles the scale, speed, and consistency, while native linguists and dialect directors audit nuance where it matters. You get studio discipline without studio drag.
Coverage blueprint
200+ languages, 500+ regional dialects
Not just national standards — the actual regional varieties your audiences speak at home.
Most dubbing vendors list languages at the national level: "Malay", "Thai", "Arabic". Real audiences do not live at the national level. A safety video for a Kedah factory workforce lands differently in Kelantanese-inflected Malay than in Kuala Lumpur Baku; an ad for Guangzhou needs Cantonese, not textbook Putonghua; a Saudi Arabia campaign needs Khaleeji, not Modern Standard Arabic read aloud.
Translife’s synthesis engine treats dialects as first-class targets: phoneme inventories, tone contours, and prosodic habits are modelled per variety, and our Human-in-the-Loop reviewers are native to the regions they audit. Below is an abbreviated blueprint — the full catalogue covers every major language family.
Southeast Asia & ASEAN
Translife's home-market pedigree — deepest dialect coverage.
- Bahasa Malaysia
- Standard Baku, Bahasa Pasar, Northern (Kedah/Penang), East Coast (Kelantan/Terengganu), Bornean (Sabah, Sarawak)
- Bahasa Indonesia
- Formal Bahasa Indonesia, Jakartan colloquial, Javanese- and Sundanese-inflected Indonesian
- Philippine languages
- Metro Manila Tagalog, Taglish, Cebuano/Bisaya, Ilocano, Hiligaynon
- Thai & Lao
- Central Standard Thai, Isan, Northern Lanna, Southern Thai, Vientiane Lao
- Vietnamese
- Northern (Hanoi), Southern (Ho Chi Minh City), Central (Hue/Da Nang)
- Myanmar & Khmer
- Burmese (Standard Yangon/Mandalay), Standard Khmer
East Asia & Tonal Systems
Tone-accurate synthesis for tonal and pitch-accent languages.
- Mandarin Chinese
- Standard Putonghua (Mainland), Taiwanese Mandarin, Malaysian/Singaporean Mandarin
- Sinitic & Chinese dialects
- Cantonese (Guangdong, Hong Kong), Hokkien/Southern Min (Taiwanese, Malaysian), Teochew, Shanghainese (Wu), Hakka
- Japanese
- Standard Tokyo (Hyojungo), Kansai-ben (Osaka/Kyoto), Kyushu
- Korean
- Standard Seoul, Gyeongsang-do (Busan), Jeolla-do
South Asia & the Subcontinent
Formal registers plus code-mixed colloquial speech.
- Major languages
- Hindi (formal and Hinglish), Urdu, Bengali (West Bengal & Bangladesh), Tamil (Tamil Nadu, Sri Lanka, Malaysia/Singapore), Telugu, Marathi, Gujarati, Kannada, Malayalam, Punjabi
European & Slavic Zones
National and regional accents, not just capital-city standards.
- English
- US (General American, Southern, AAVE), UK (RP, Estuary, Scottish, Northern), Australian, Canadian, Irish, Singlish
- Spanish
- European Castilian, Mexican, Argentine (Rioplatense with voseo), Colombian, Chilean
- Portuguese
- Brazilian (Paulista, Carioca), European Continental, Angolan
- French
- Parisian/Metropolitan, Canadian Québécois, West African Francophone
- Germanic & other European
- German (Hochdeutsch, Austrian, Swiss Schwyzerdütsch), Italian, Dutch, Polish, Russian, Ukrainian, Czech, Swedish, Norwegian, Danish, Finnish, Greek, Turkish
Middle East & North Africa
Diglossia-aware: broadcast MSA vs. street dialects.
- Arabic
- Modern Standard Arabic, Egyptian (Cairene), Levantine (Lebanese, Syrian, Jordanian), Gulf (Khaleeji), Maghrebi (Moroccan, Algerian)
- Other MENA
- Persian (Farsi), Hebrew, Kurdish
Americas & African Indigenous/Creole
Long-tail coverage for development, NGO, and diaspora content.
- African languages
- Swahili, Hausa, Yoruba, Igbo, Amharic, Zulu
- Creole & Caribbean
- Haitian Creole, Papiamento
Need a dialect not listed here? Browse our full language directory or ask — our 100,000+ linguist network sources native reviewers for long-tail varieties on request.
How it works
The 6-stage neural localisation pipeline
Every stage is engineered for fidelity — acoustic, linguistic, and visual.
Multi-Track Acoustic Ingestion & Stem Isolation
Demixing algorithms separate the dialogue track from background music, Foley, and ambient noise. The output is a clean vocal stem with no audio bleed — so your soundtrack is never re-recorded or degraded.
Speech Recognition & Speaker Diarization
Automated speech recognition produces frame-level timestamps while diarization identifies every distinct speaker. The system also profiles the acoustic environment — reverb, mic proximity, room reflections — so the synthesised voice sits naturally in the same space.
Neural Translation & Cultural Transcreation
The translation engine parses idioms, jokes, cultural nuance, and syllable-count constraints to produce target dialogue that is isometric — matching the original line length so lips and pacing still agree.
Cross-Lingual Zero-Shot Timbre Transfer
Target speech is synthesised using the speaker's own vocal characteristics — pitch contour, vocal-tract length, harmonic ratios. No per-language voice actors; the original identity carries across.
Emotion-Guided Prosody & Time Warping
Non-linear audio stretching and compression preserve comedic timing, dramatic pauses, and natural breathing intervals — without the chipmunk pitch distortion of naive speed-up.
AI Lip Sync & Broadcast Mixdown
Generative face re-animation aligns the speaker's visemes — lip, jaw, and cheek movement — to the target phonemes. Audio is remastered onto the original stems with dynamic ducking and mastered to broadcast loudness standards.
Send us a finished MP4 — we return a fully localised, lip-synced, broadcast-mastered video. No stems, session files, or audio engineering required on your side (though we happily accept them for maximum fidelity).
One voice, everywhere
Cross-lingual voice cloning & timbre continuity
Your CEO should sound like your CEO — in Kuala Lumpur, Tokyo, Berlin, and São Paulo.
Traditional dubbing quietly destroys personal connection. When a keynote speaker is re-voiced by thirty different actors, audiences in thirty markets meet thirty different people. The speaker’s authority, warmth, and cadence — the things that made the original performance persuasive — are lost at the border.
Translife’s cloning engine solves this with acoustic speaker embeddings (d-vectors/x-vectors): a mathematical fingerprint of timeless vocal characteristics extracted from as little as 30 seconds of clean source audio. That fingerprint is injected into the target-language acoustic decoder, so the synthesised Mandarin, Arabic, or Portuguese carries the same pitch contour, resonance, and vocal weight as the original.
Feature → How → Outcome: formant preservation keeps identity constant; prosody conditioning adapts emotion to each language’s natural rhythm; dynamic time warping keeps pauses human. The outcome is a dubbed video where the speaker still sounds like themselves — just fluent in 200 languages.
Hear the difference
The same source footage, rendered into two languages by the same automated pipeline.
Mandarin dub — Female humanoid voice. One source video, one automated pass, two language versions.
Ethics, consent & deepfake safeguards
Consent & watermarking
Every voice model is backed by explicit speaker consent verification, and outputs carry C2PA-standard content credentials so the provenance of synthetic media is always auditable.
Ethically licensed
We clone only voices we are licensed to use — your own spokespeople, contracted talent, or fully licensed synthetic voices. Enterprise agreements assign usage rights contractually, per market and per term.
Data security
Source footage and voice embeddings are processed under NDA with GDPR and PDPA (Malaysia/Singapore) compliance. Voice models are scoped to your projects and deleted on request.
Visual re-voicing
Frame-accurate AI lip sync
The difference between a video that feels translated and one that feels native.
Mismatched audio and mouth movements — the classic "kung-fu movie" effect — create cognitive friction that quietly erodes trust and attention. Viewers may not articulate what feels wrong, but they feel it, and engagement metrics reflect it.
Translife’s visual re-voicing stage closes that gap. Because the translation pipeline already produces isometric dialogue (stage 3) and prosody-aligned audio (stage 5), the lip-sync pass needs only subtle, believable re-animation — not wholesale face replacement. The result: dialogue that appears to have been spoken in the target language on the day the video was shot.
Lip sync is recommended whenever speakers are visible on camera — talking-head corporate videos, interviews, product demos. For off-screen narration (e-learning voiceover, explainer audio), the stage is skipped and cost drops accordingly.
Neural viseme-to-phoneme mapping
Acoustic phonemes in the target language are transformed into visual visemes — bilabials, labiodentals, linguadentals — and timed frame-accurately against the speaker's mouth movements.
Lower-face neural inpainting
Generative video editing modifies only the lower facial mask — mouth and jawline — leaving teeth, facial hair, skin texture, and lighting photorealistic and untouched.
4K/60fps fidelity
Supports up to 4K 60fps source footage with zero blur and no uncanny-valley artifacts, output in the same codec and container as the original delivery.
Where it ships
Enterprise use cases & industries
From boardroom announcements to broadcast premieres — wherever video crosses a language border.
Corporate training & internal comms
Multilingual onboarding, safety compliance, and leadership updates delivered in native dialects to multinational workforces — manufacturing floors, logistics hubs, and regional offices — without re-booking studios per country.
EdTech & global e-learning
MOOCs, university lectures, and certification courses localised with professor voice continuity. Learners hear the instructor they enrolled for, in the language they study in.
Entertainment, film & OTT streaming
Scripted drama, animation, and documentary features dubbed with studio-grade acting inflections. Lip-synced theatrical trailers for regional premieres in days instead of months.
YouTube creators & influencers
YouTube's multi-language audio-track feature rewards creators who dub. Creators expand global view counts 4x–10x with zero studio friction — same video, additional language tracks.
E-commerce & social commerce
Hyper-localised UGC and founder pitch videos translated into regional dialects for TikTok, Meta, and Shopee campaigns — where sounding local is the difference between scrolled-past and sold-out.
Healthcare, pharma & medical training
Patient guidance videos, surgical demonstrations, and clinical-trial briefings requiring flawless dialectal clarity — where a mispronounced dosage instruction is not an option.
Quality assurance
Human-in-the-Loop linguistic governance
AI acceleration with 20 years of human linguistic accountability behind it.
Translife has operated as an MoF-registered language agency since 2005, with a vetted network of 100,000+ linguists across 100+ languages. AI dubbing plugs into that same governance infrastructure — it is not a replacement for it.
Every automated pass already includes phonetic linting, semantic alignment scoring, and loudness compliance checks. For content where nuance carries risk — legal disclaimers, medical guidance, brand-defining campaigns — a native dialect director audits the AI output under ISO 17100-aligned workflows before delivery.
Automated Dubbing
100% AI — built for speed and volume
- Fully automated pipeline, end to end
- Under-24-hour turnaround per batch
- Automated phonetic linting and loudness QA
- Ideal for catalogues, internal training, UGC, and bulk content
Director's Cut (AI + Human)
AI generation audited by native dialect directors
- Native linguist reviews terminology, emotion, and cultural fit
- Dialect director signs off on regional variants
- 2–4 business day turnaround
- Recommended for public-facing, legal, medical, and broadcast content
Quality standards: ISO 17100 translation workflows, ISO 9001 quality management, enterprise NDAs on all source material.
Broadcast-ready
Technical specifications & media compatibility
From a lone MP4 to full Pro Tools sessions — we ingest what you have and deliver what your platform requires.
Input video formats
- MP4, MOV, MKV, AVI
- Apple ProRes 422 / 4444
- Avid DNxHD
- Up to 4K, 60fps
Audio stems & sessions
- Multitrack WAV (24-bit / 48–96kHz)
- OMF / AAF interchange
- Pro Tools session files
- Separate M&E (Music & Effects) tracks
Output deliverables
- Burned-in lip-synced video
- Clean video + muxed multi-language audio
- Isolated dialogue WAV stems
- SRT / VTT subtitle files
- Lip-sync alpha mattes
Loudness standards
- EBU R128 (−23 LUFS)
- ITU-R BS.1770-4 (−24 LUFS)
- Netflix audio delivery specs
- YouTube standard (−14 LUFS)
No stems? No problem. Our demixing stage reconstructs a usable vocal stem from a flattened consumer video — but supplying separated M&E tracks or session files maximises fidelity for broadcast deliverables.
Testimonials
What Our Clients Say
Trusted by corporations, SMEs, and government agencies in Malaysia and Singapore.
“Great suggestion of the output format of translation which I never thought of. It helps our people at site understand the translation much easier.”
DHL Malaysia
Knowledge base
AI dubbing questions, answered
Direct answers to the questions enterprise buyers ask most about AI voice over and AI dubbing.
What is the core difference between AI Voice Over and AI Dubbing?
AI Voice Over is off-screen spoken audio used for narration, e-learning courses, commercial voice-tracks, audiobooks, and corporate explainer videos where on-screen lip movement does not need to match. AI Dubbing (also called Automated Dialogue Replacement or ADR) completely replaces spoken on-screen dialogue in a video, matching the actor's pacing, vocal inflections, emotional intensity, and mouth viseme movements (AI lip sync) in the target language.
How do AI humanoid voices perform better than traditional human voiceover talents?
AI humanoid voices outperform traditional voice talent in five critical enterprise dimensions: (1) Cross-lingual voice identity continuity: a single executive, actor, or brand ambassador's voice can be cloned to speak 200+ languages with identical pitch, timbre, and character, rather than hiring 200 disconnected strangers; (2) Production turnaround: complete multilingual video dubbing delivers in under 24 hours instead of 2 to 6 weeks of studio scheduling; (3) Cost efficiency: 80% to 90% cost reduction by eliminating studio hire, recording engineer fees, and talent royalties; (4) Instant revisions: script updates and legal disclosures are updated in seconds without re-booking talent; (5) Nuanced emotional conditioning: modern latent acoustic models introduce realistic micro-breaths, pitch modulations, and conversational pacing with predictable broadcast consistency.
How many languages and dialects does Translife AI Dubbing support?
Translife supports over 200 languages and more than 500 regional dialects. This includes all major global languages (English, Mandarin, Spanish, French, Arabic, German, Japanese, Korean, Russian, Portuguese, Hindi) and deep regional dialectal varieties across Southeast Asia (Bahasa Malaysia, Northern Kedah, Kelantanese, Sabah/Sarawak Malay, Bahasa Indonesia, Tagalog, Cebuano, Central Thai, Isan, Northern Vietnamese, Southern Vietnamese, Burmese, Khmer) as well as European and Middle Eastern regional accents.
Can AI dubbing preserve the original speaker's real voice across 200+ languages?
Yes. Using zero-shot cross-lingual voice cloning and acoustic neural embeddings, we extract the speaker's vocal timbre, formant characteristics, fundamental frequency, and harmonic resonance from as little as 30 seconds of clear source audio. The generated speech in the target language sounds authentically like the original speaker speaking fluent Japanese, Spanish, German, or Malay.
What is AI Lip Sync and is it required for all dubbing projects?
AI Lip Sync (visual speech synthesis) is a computer vision technology that re-renders the speaker's lower face, lips, jaw, and cheek movements to match the phonetic shapes (visemes) of the newly translated language. It eliminates the distracting 'kung-fu movie' mismatch where lips move while no audio plays. While highly recommended for talking-head videos, keynote speeches, and close-up film dialogue, it is optional; clients may also choose phrase-synced audio dubbing or UN-style voiceover.
How does AI dubbing handle background music, sound effects, and Foley?
Translife utilizes advanced AI neural stem separation (such as HTDemucs) to deconstruct incoming video into isolated audio stems: clean dialogue, music, Foley, and ambient background sound. The dialogue is translated and dubbed independently while preserving the original music, sound effects, and stereo/surround spatial positioning, then mastered to broadcast loudness standards (EBU R128 / ITU-R BS.1770-4).
How fast is the turnaround time for a complete enterprise dubbing project?
Automated enterprise dubbing runs can be generated in minutes to hours depending on video duration. For standard enterprise projects with automated QA, turnaround is typically under 24 hours. For enterprise projects requiring our Human-in-the-Loop (HITL) Director's Cut—where native linguists inspect idioms, pronunciation, and cultural nuance—turnaround is typically 2 to 4 business days.
What is Human-in-the-Loop (HITL) review for AI dubbing?
Translife pairs AI speed with 20 years of professional translation governance (founded 2005, MoF-registered agency). In our HITL workflow, certified native linguists and cultural directors audit the AI-generated translation, adjust syllable timings for perfect rhythmic cadence, verify industry-specific terminology and brand glossaries, and approve the final emotional delivery before video mastering.
What video and audio formats are accepted and delivered?
We accept all industry-standard video containers including MP4, MOV, Apple ProRes (422, 4444), Avid DNxHD, and MKV, as well as multitrack audio formats (24-bit/48kHz/96kHz WAV, AAF, OMF). We deliver final burned-in localized video, clean video with multi-language audio tracks (muxed MP4/MOV), isolated dialogue stems, and synchronized SRT/VTT subtitle caption files.
Are the AI voices commercially cleared and ethically licensed?
Yes. All synthetic voices in our enterprise library are 100% commercially cleared, copyright-compliant, and ethically trained. For custom voice cloning of specific individuals (such as executives, actors, or public figures), Translife enforces strict cryptographic consent protocols and C2PA metadata watermarking to prevent unauthorized deepfake duplication and ensure enterprise governance compliance.
How does AI dubbing improve YouTube and social media SEO rankings?
YouTube now natively supports multi-language audio tracks (MLA), allowing creators and enterprises to host a single video with multiple language tracks. Videos equipped with localized dubbing achieve up to 4x to 10x higher international impressions, dramatically higher average watch time, and superior search visibility in localized Google and YouTube algorithms compared to subtitle-only videos.
How much does AI Voice Over and AI Dubbing cost compared to traditional studios?
Traditional human voiceover and dubbing typically costs $75 to $250+ per finished minute per language, easily reaching $15,000+ for a 10-minute video across 10 languages. Translife AI Dubbing ranges from $5 to $20 per minute across volume enterprise tiers, representing an 80% to 90% direct cost saving while providing vastly superior delivery speed and instant script update capabilities.
The math
Production cost matrix & ROI
A typical enterprise project: one 30-minute video, dubbed into 12 languages.
Traditional studio route
- 12 voice actors + casting
- Studio fees × 12 sessions
- Director + sound engineer per language
- Manual lip-flap adaptation
Total cost
$28,000
Timeline
4 weeks
Translife AI dubbing route
- 1 source file, 1 pipeline run
- Voice cloning included
- Frame-accurate lip sync included
- Broadcast loudness master included
Total cost
$3,200
Timeline
24 hours
88% cost reduction and 96% time compression on the same deliverable — before counting the update agility: script changes re-render in seconds with zero session fees, versus re-booking talent at hourly minimums.
Self-Serve Batch: automated pipeline at $5–$20 per finished minute for catalogues and bulk content. Enterprise Managed: adds native linguist review, dedicated project management, and broadcast deliverables for flagship content.
Explore more
Related services
Subtitles, transcription, localisation, and live AI interpretation.
Get Your AI Dubbing Quote
Send your video and target languages — we'll quote within 24 hours. Free pilot test available on your own footage.
Every engagement is covered by enterprise confidentiality (NDA), ISO 17100-aligned linguistic quality standards, and GDPR/PDPA-compliant data handling. If the first pass doesn’t meet broadcast quality, our native dialect directors review it until it does — that is the Translife guarantee.