mDUBS dubs your library into 40+ languages with AI speed and human dub-direction, casting, lip-sync and mixing that make a performance land, not just translate. AI for scale; direction for the craft studios still demand.
Flat, mistimed dubbing breaks the spell, and the audience checks out. mDUBS carries the performance across, emotion, timing and intent intact, so a story lands in every language the way it landed in the first.
Studios and platforms now expect hybrid AI-plus-human dubbing with real creative oversight, not flat AI voice-swap. mDUBS uses AI to move fast and human dub-direction to make the performance believable.
Casting decides whether a character sounds like themselves in another language. Direction shapes emotion and pacing, take by take. Lip-sync fits every line to on-screen movement. Mixing folds it all back into the original music and effects. Skip any one and audiences feel it, completion rates say so.
mDUBS runs on the same speech-recognition, translation and QC core behind Infoesearch's live captioning, hardened over 15M+ delivered minutes, with a voice and dub-direction layer built on top. The hard foundations are already in place; dubbing extends them, it doesn't start from zero.
LiveDubs, dubbing, live. Real-time dubbing built on the same low-latency RTMP→HLS pipeline that already powers Infoesearch live captioning, with human dub-direction kept in the loop.
Six steps from master file to delivery, engineered so volume never costs you the performance, the sync, or the compliance.
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A live click-through of the mDUBS workspace, projects, the dub studio, voice casting, direction QC and delivery. Switch tabs to explore. This is a preview, not live data.
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Every hop in localization loses a little accuracy, transcribe, translate, voice. Chain them without checking and error compounds multiplicatively. mDUBS runs native-linguist and dub-direction QC after every hop, holding each stage to the same baseline instead of letting it decay down the line.
⚑ Illustrative of the accuracy-cascade effect; QC-after-every-hop is core Infoesearch methodology.
Major buyers route dubbing through audited vendor programs, Netflix NP3, Amazon PLV, the Warner Bros. Discovery network, behind a content-security gate that decides whether you're even considered. mDUBS is built to that same bar, so certification is infrastructure, not a scramble.
Forced Narrative, per language. Every dubbed-audio language ships with its own Forced Narrative file, for plot-relevant on-screen text, signage and song lyrics the dub doesn't cover, with language-locale matched exactly to the audio track, as Netflix, Amazon and Warner Bros. Discovery each require.
A single Modern Standard Arabic track won't carry a Gulf comedy or an Egyptian drama, and drama is 60%+ of MENA streaming hours. mDUBS dubs at the dialect, matching register to market, in a space AI-native Western vendors leave underserved.
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⚑ Industry figures from published media-localization market research and platform partner documentation, market context, not mDUBS performance metrics.
mDUBS performs your content in new languages. Infoesearch also translates it in text, understands it through media intelligence, and protects it through trust & safety, one continuous lifecycle, one operating company.
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