GIKI Students develops dublrGIKI Students develops dublr

In today’s interconnected world, language barriers pose a significant challenge for effective communication. GIKI students develops Dublr as their final year project in Computer science department.

Thanks to the advancements in artificial intelligence (AI), a breakthrough has been achieved by students from GIKI (Ghulam Ishaq Khan Institute of Engineering Sciences and Technology) to develop AI based automated Realistic Lip-syncing tool called “Dublr”. This remarkable achievement involves the translation of any language into English and generating realistic lip syncing using AI technology.

The students shared their lip-synced video of Former Prime Minister, Imran Khan’s speech recently delivered on television which amazes the viewers and listeners for the quality of lip-sync and translation in real-time.

GIKI Students develops Dublr

GIKI students develops Dublr as final year project. A group of students with a passion for AI and language processing delved into the realm of translation and lip syncing. Through extensive research and experimentation, the student successfully developed a groundbreaking system named “Dublr” that could translate spoken words from any language and synchronize them with accurate lip movements in English.


GIKI students develops Dublr as Final year project. Computer Science department students Agha Usman,  Agha Muhammad AliAbdul Rafey Zafar, and Muhammad Musa Khawaja develops Dublr. Dublr is a complete automated dubbing system that employs deep learning models to clone voices from any language to English, delivering very realistic lip-synced output with minimal human interaction. Dublr finished second in the Industrial Open House 2023 at the Ghulam Ishaq Khan Institute of Engineering Sciences and Technology.

The dubbing pipeline models temporal dependencies between audio and video input using RNNs and attention methods. Automatic speech recognition, forced alignment, machine translation, voice cloning, lip synchronization, and deep neural networks trained using PyTorch are all part of the pipeline. OpenAI’s Whisper was very helpful in generating outstanding results, even for low-resource languages like Urdu. MoviePy was used to edit and manipulate video.

AI for Lip syncing and Translation

The Power of Artificial Intelligence in Translation

Artificial intelligence has revolutionized various industries, and language translation is no exception. With AI-powered translation systems, the process of converting one language to another has become faster and more accurate. These systems utilize complex algorithms and neural networks to understand the semantics and syntax of different languages, enabling seamless translation between them.

The Challenges Lip Syncing

Accurate lip syncing is a crucial aspect of audiovisual content, whether it’s in movies, TV shows, or online videos. Achieving lip movements that align perfectly with the spoken words is challenging, especially when dealing with different languages and accents. Traditional methods rely on manual adjustments and often fall short in providing a realistic lip-syncing experience.

The Solution: AI-Driven Lip Syncing

The GIKI student’s breakthrough combines the power of AI translation with advanced lip syncing techniques. By integrating language translation algorithms with sophisticated visual processing, the system can generate realistic lip movements that match the translated speech accurately. This breakthrough has the potential to transform the way we consume and understand audiovisual content.

How Does it Work?

The AI-driven lip syncing system employs a multi-step process to achieve its remarkable results. First, the spoken words in a non-English language are translated into English using AI translation algorithms. Next, the system analyzes the translated text and generates corresponding lip movements by mapping phonemes and facial expressions. Finally, the lip movements are synchronized with the translated speech to create a realistic and visually compelling lip-syncing effect.

Realistic Lip Syncing: Bridging the Language Gap

The ability to generate realistic lip syncing from any language to English holds immense potential for bridging the language gap. It allows individuals from different linguistic backgrounds to enjoy audiovisual content without the need for subtitles or dubbing. This breakthrough not only enhances entertainment experiences but also promotes cross-cultural understanding and inclusivity.

Future Prospects

The breakthrough achieved by the GIKI student to develop Dublr represents just the beginning of what AI-driven lip syncing can accomplish. With further research and development, we can expect the technology to become more accessible and widely adopted in various industries.

In the future, we may witness real-time translation and lip syncing capabilities integrated into communication devices, enabling seamless conversations between individuals speaking different languages. This would revolutionize cross-cultural interactions and eliminate language barriers in personal and professional settings.


The GIKI student’s achievement to develop “Dublr” in using AI to translate and generate realistic lip syncing from any language to English is a significant milestone in the field of language processing and audiovisual synchronization. This breakthrough has the potential to reshape the entertainment industry, enhance language learning experiences, and foster greater global understanding.

As technology continues to advance, it is essential to embrace its potential while remaining mindful of the ethical implications and ensuring responsible usage. AI-driven lip syncing opens up a world of possibilities, where language is no longer a barrier but a bridge that connects people from diverse backgrounds.

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