In early 2025, Sereal+ — a leading free short-form video streaming platform which offers thousands of captivating dramas and movies — partnered with All Voice Lab to replace its fragmented video localization process with a fully unified, AI-driven workflow. By consolidating subtitle extraction, video translation, human-assisted proofreading, and AI voice dubbing into one streamlined pipeline, Sereal+ cut turnaround by 60%, slashed costs by 90%, and delivered polished, multilingual videos at scale. This case underscores All Voice Lab’s expertise in end-to-end video localization, authoritative AI voice capabilities, and commitment to delivering consistent, high-quality global content.

The Challenge: Legacy Workflows Weren’t Built for Global Speed

As Sereal+ expanded its footprint in Southeast Asia, Japan, and North America, it began adapting more of its IPs into short-form dramas, series, and movies for international audiences. Sereal+’s internal team had already experimented with various AI tools to streamline localization — from machine translation to semi-automated voiceovers. But even with these tools, the process remained fragmented and slow.

· Subtitles had to be pulled from source videos, cleaned up, translated, proofread, and re-embedded — often across multiple software platforms

· Voiceovers, whether outsourced or internally managed, still required casting, syncing, and manual audio engineering

· Internal teams were spending more time on coordination and quality control than on actual content output

These inefficiencies weren’t due to lack of innovation — they were a symptom of multi-tool chaos. And they couldn’t support Sereal+’s growing volume.

The Breakthrough: From Fragmented Tools to a Unified Pipeline

Rather than stitching together multiple tools, Sereal+ adopted All Voice Lab’s end-to-end video translation service, combining both subtitle processing and AI voiceover in a single streamlined flow.

The collaboration covered:

· Full-cycle subtitle processing, including extraction, removal, translation, human-assisted proofreading, and re-synthesis into video

· AI voice dubbing, using lifelike synthetic voices optimized for fiction, narration, and promotional formats

· Managed delivery model, where Sereal+ simply submits video files and receives platform-ready, multilingual versions

This meant that Sereal+ could submit a video file and get back a fully localized, platform-ready version — with clean visuals, synced subtitles, and natural-sounding voices in English, Japanese, Korean, and more.

“What used to be a bottleneck is now a predictable, high-quality workflow. That’s allowed us to scale global content without scaling our team.” — International Content Manager, Sereal+

What They Got, and Where It’s Going

Measureable Outcomes:

By transitioning from fragmented outsourcing to an AI-driven localization pipeline, Sereal+ realized significant improvements across key performance indicators:

Accelerated Turnaround: Reduced the localization cycle for a full short drama from 3 days to just 1 day—a 60%+ improvement in speed.

Substantial Cost Savings: Lowered per-series localization costs from $530 to $40, achieving over 90% cost reduction.

Expanded Language Reach: Enabled simultaneous multi-language delivery from day one, covering 6+ languages including Japanese, Korean, Spanish, and Portuguese.

Enhanced Consistency: Achieved higher subtitle and voice-over consistency across serialized content and diverse markets, ensuring a cohesive viewer experience.

Creative Leverage

For Sereal+, the benefits weren’t just operational — they were creative:

· Faster iteration cycles allowed teams to test content in new markets without delay

· Voice consistency across formats (audiobook, video, trailer) created unified experiences for global users

· Higher production value helped Sereal+ IP stand out on platforms like YouTube, Spotify, and localized reading apps

What used to be “translation work” is now a core part of content strategy.

Next Steps & Future Roadmap

API Integration: Enable direct CMS-to-All Voice Lab connections for real-time, automated localization.

Expanded Language Support: Add new regional languages (e.g., Thai) to reach a broader audience.

With All Voice Lab’s end-to-end video localization expertise, even the most text-driven publishers can speak—and sound — authentically in any language.

Read more: How FlexTV Scaled Multilingual Content Production with All Voice Lab