Empowering Scalable Video Localisation for the Education Industry: A Reverie Revolution
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About Client
Seeking to localize 2000+ hours of digital video content into 11 Indian languages, the client aimed to bridge linguistic gaps for users, ensuring seamless access to diverse content.
Challenge
Overcoming hurdles of volume, slow turnaround, maintaining quality, and handling linguistic nuances in localizing vast video content.
Related products
Speech-to-Text (STT)
Employed Speech-to-Text technology, converting spoken language into accurate and transcribed textual content. This technology was pivotal in efficiently processing vast volumes of spoken content for translation and localisation.
Prabandhak
Employed Speech-to-Text technology, converting spoken language into accurate and transcribed textual content. This technology was pivotal in efficiently processing vast volumes of spoken content for translation and localisation.
Neural Machine Translation (NMT)
Leveraged Neural Machine Translation, a sophisticated AI-driven approach that learned and improved with each dataset. This technology significantly reduced turnaround time for translating and localizing extensive video content, ensuring high-quality output across various languages.Â
Machine Learning
Harnessed the power of Machine Learning algorithms, forming the backbone of their innovative platform. These algorithms continuously learned and enhanced their performance, ensuring scalability and consistent quality while handling the unique linguistic nuances present in the localisation of digital video content.
Text-to-Speech (TTS)
Utilized advanced Text-to-Speech capabilities, enabling the conversion of translated text into natural-sounding speech. This facilitated the creation of localized video content in multiple Indian languages, enhancing accessibility for diverse audiences.
Solution
Reverie’s video localisation solution utilized several APIs including Machine Translation powered by AI and Machine Learning. The tech used employed continuous learning and improving with each dataset, reducing turnaround time, ensuring scalability without compromising localisation quality, and establishing an efficient video localisation ecosystem.
Outcome
Crore Words Translated
Video Hours Localised
Indian Languages
Translated approximately 1.6 Crore words, localized 2000+ hours of videos, offering seamless user experiences. The scalable design enabled high-volume localisation, maintaining consistent quality through AI and Machine Learning. Reduced backlog and accelerated content localisation showcased the transformative power of innovative technology in digital media.
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Over a Decade of AI R&D Efforts to Bring you the Right Language Tools
Pioneering language solutions for a decade, Reverie Language Technologies Limited delivers cutting-edge tools, ensuring precise communication and accessibility across diverse linguistic landscapes.
Content & Data
Localisation
Customize text and data to fit diverse languages, cultures, regions for web, apps, customer communication, and citizen data.
Chat & Voice
Bot
Automated assistants in Indian languages for spoken interactions, providing efficient solutions and information.
Voice
Solutions
Modify visual content. Add subtitles, captions or even dub the speech output, to suit different linguistic or cultural audiences.
