VMEG enables enterprises to localize videos at scale with true batch processing and automation. Upload up to 20 videos or languages in one click, streamline global content production, and achieve faster delivery with significantly lower localization costs.




Batch processing capability is the primary threshold for enterprises evaluating video localization tools. VMEG supports one-click uploads of up to 20 tasks and can simultaneously process 20 languages, consolidating previously fragmented translation and production workflows into a single batch execution.
Whether expanding a single video into multiple language versions or synchronously launching multiple videos into the same language market, the system operates on batch video localization logic. This eliminates manual project splitting, significantly reducing operational and management costs.


VMEG's bulk video translation capability is designed for large-scale content distribution, ensuring multilingual versions are completed within the same production cycle. Businesses no longer need to queue languages individually but can simultaneously cover multiple target markets.
This batch translation mechanism transforms content expansion from linear growth to parallel output, truly supporting long-term, scalable production. Content creators can earn YouTube creator rewards through multilingual channels.


In large-scale video translation, voice consistency is often the most challenging aspect to control. VMEG's voice cloning technology supports over 100 languages, making it the solution with the widest language coverage in the AI industry today. It maintains a stable human voice style across multilingual outputs.
This eliminates the need for businesses to source new voice talent for each language in batch video production, significantly reducing cross-market production costs while ensuring brand voice consistency worldwide.


VMEG deeply integrates Editing Studio with AI Agent, seamlessly embedding AI automation into human workflows rather than replacing human judgment. Text, audio, and video content are visualized within the same editing environment, enabling rapid proofreading and adjustments.
Once text is finalized, it can be batch-translated into other languages based on that result, significantly reducing the time from “content confirmation” to “multilingual delivery.” This human-machine collaboration model forms the critical foundation for enhancing efficiency in enterprise-level batch video localization.
VMEG AI Batch & Automation is designed for creators and enterprises that need high-volume, multi-language video localization, outperforming standard AI tools and manual translation in speed, cost, and reliability.
| Feature | VMEG AI Batch & Automation | Standard Single-task AI Translation | Human Translation |
|---|---|---|---|
| Task Scope | Submit up to 20 tasks at once: Single video → 20 languages 20 videos → 1 language 20 videos → 20 languages | Single video → single language per submission | Manual, 1 video → 1 language per translator |
| Turnaround Time | Minutes for 20+ videos | Minutes per video | Hours to days per video |
| Automation Level | Agentic, human-in-the-loop workflows | End-to-end | Human handling required for every step |
| Price | From $0.45 / minute | Typically $1–2 / minute for AI translation | $15–50 / minute depending on language & quality |
| Productivity | 20x+ higher | Baseline AI productivity | Very low - limited by translator availability |
| Multi-language Support | 170+ languages | Single language per task | Limited by translator pool |
| Consistency | High; uniform translation quality across batch | Moderate; quality may vary per task | High, but prone to human variation |
| Scalability | Enterprise-ready; supports multiple videos & languages at once | Limited to small-scale tasks | Hard to scale; cost-prohibitive |
| Output Readiness | Ready-to-publish localized videos | May need post-editing | May need syncing/subtitling |
Open the Bulk File Translation form and fill in the required details to create your tasks. You can translate up to 20 videos into one target language, or translate a single video into up to 20 different languages at once, with folders available to keep projects organized.

After submission, each video is processed as an individual task with its own dedicated editor. This allows you to review, adjust, or fine tune translations on a per video basis without affecting other files.

Once processing is complete, download all translated videos or subtitle files in bulk. Each file keeps the original filename, making it easy to manage and match outputs with your source files.

Dive into expert articles from the VMEG team covering AI technology, language research, and real-world localization insights

VMEG is built on a privacy-first architecture. Your videos, voice samples, and scripts are encrypted, isolated, and never used to train AI models by default. You stay in full control of your data—always.

VMEG is architected with enterprise security at its core. All customer data is encrypted using AES-256 at rest and TLS 1.3 in transit, ensuring sensitive media assets remain protected throughout the entire processing lifecycle.

Customer data is fully isolated by workspace. VMEG does not access, reuse, or train on your proprietary videos, voice data, or scripts by default. You retain full ownership and intellectual property rights over all inputs and outputs.

Running on secure AWS infrastructure, VMEG delivers high availability, redundancy, and global scalability. VMEG is designed to support enterprise localization workflows while aligning with modern security and compliance standards.

VMEG’s professional workflow streamlines video localization from transcription to translation and delivery. Built for teams managing multilingual content at scale.