About Us
QBL Media Pty Ltd (ABN: 73 602 663 141) trading as VideoTranslator, is a Sydney, Australia based media-technology company.
We offer SaaS based AI solutions which help clients significantly increase ROI on existing and future content marketing spend.
Our products and services help clients to train custom AI’s to (a) transcribe, (b) translate, (c) create synthetic voiceovers, and (d) create custom large language models, for text, audio, and video.
Currently, we support 120+ languages, across 150+ dialects, and 150+ distinct voices across a range of synthetic emotions.
Our Why
An initial conversation between the founder, Tat Banerjee, and Indian doctors led to the creation of VideoTranslator in 2017.
Growing up in India, Tat is no stranger to multilingualism. However, in a country with 22 official languages, equal access to information can be a challenge.
Speaking with doctors, a major challenge was that that simple mistranslations would often result in the wrong medication being prescribed, with negative and sometimes fatal side effects for patients.
With so many official languages and thousands of regional dialects in India, multilingualism is a challenge for the healthcare system.
To bridge this gap, which we think of as the 'communication at scale' challenge, the idea of VideoTranslator was born.
Our Mission
For content creators, small businesses, mid-sized corporations, large enterprises and government agencies, we think communication at scale is a major challenge.
We believe that AI powered video transcription, translation, and voice-over can have various use cases for these different market segments.
Our mission is to offer AI based solutions to this 'communications at scale' challenge.
Our Team
VideoTranslator's team comprises designers, developers, testers, and marketers worldwide. To create even more powerful and user-friendly products, we are constantly striving for improvement.
Mel Taylor (Advisor)
An Honorary Associate Professor at Macquarie University (MQU), and an Adjunct Research Fellow at Western Sydney University (WSU), Mel Taylor’s academic career focuses on emergency communications.
From natural hazards related communications, where she has worked with the NSW SES (State Emergency Services), the ABC, and Infrastructure Australia among others, to the assessment of biosecurity threats where she has previously worked with both the Australian and British Defence establishments, her expertise brings significant academic rigour to VideoTranslator’s enterprise offerings for clients.
Kiwako Ito (Advisor)
An Associate Professor of Linguistics, Kiwako Ito leads the Masters of Translation Studies program at the University of Newcastle (UoN).
Additionally, as the Director of Lab for Applied Language Science at UoN, her academic research focused on digital engagement in English as a Second Language (ESL) and Culturally and Linguistically Diverse (CaLD) communities.
She advises VideoTranslator on the evaluation of quality in the translation of text and speech forms, and the comprehension and decision-making processes of ESL speakers when presented with translated messages in different modalities.
Brian Lim (Advisor)
A well-regarded entrepreneur, educator and community builder, Brian has been in and around the startup scene for 15+ years.
A technologist by training, he has published several papers in IEEE journals, primarily around distributed networks of sensor applications and wireless networking.
He has also founded or co-founded several organisations in the space sector, his previous effort HyperCubes raised $5m for a network of hyperspectral satellites and is currently the CEO of Dandelions - a small sat and aerospace consultancy looking at its first launch in late 2023.
Brian advises VideoTranslator on the business side, looking at opportunities in space, defense (HADR - Humanitarian Aid and Disaster Relief) and the non-profit sector.
Tat Banerjee (CEO)
Formally schooled at the Australian National University (ANU) in Canberra, Tat graduated with a double Bachelors in Engineering Honours (Systems) and Bachelors in IT (Information Systems) degrees.
Tat then spent the next several years in platform and liquidity sales to real money and fast money clients at State Street Global Markets (SSGM/SSGX), an American investment bank, primarily in the currencies and commodities (FICC) markets.
During this period, he also attained as Masters in Applied Finance from the Macquarie Graduate School of Management (MAFC/MGSM) at Macquarie University (MQU) in Sydney.
He left the markets in 2016 to work on an aerospace startup, leading sales and IT, and started working on VideoTranslator full time from 2019.
Our Services
Audio/Video Transcription
VideoTranslators offering allows our clients to upload audio and video content for transcription. We use a variety of AI solutions from cutting edge proprietary offerings from major tech vendors, to open source models - all with the ability to train the AI on your custom vocabulary across hundreds of dialects.
If you were transcribing in English, you would also select from one of 14 different dialects of English - for example, Australian English or Indian English, depending on the accent of the person speaking in the video. Similarly, in Arabic you could pick one of eight dialects, or in Spanish one of twelve dialects. This greatly increases the accuracy of the transcription process.
Text/Video Translation
VideoTranslators offering allows you to customise translation with custom dictionary capabilities across all major languages and their derivatives.
Within our core use case of video, this capability is often used to create video subtitles for your content in dozens of alternative languages substantially increasing the searchability of your content, i.e., boosting your video's SEO.
For more complex workflow's our translation is a critical second step in creating fully translated videos via the AI voiceover / dubbing services.
Audio/Video Voice-Over/Synthetic Dubbing
Depending on their use case, clients have the option to add a synthetic voiceover to their translated video.
For high production value content spend, this means the use of synthetic voices - across gender, age, synthetic emotion and IPA based pronunciation.
Clients use our services to greatly scale their communication efforts by creating targeted end user communications by linguistic subgroup.
Chinese spoken communications in Cantonese or Mandarin, or English communications spoken by a synthetic female 25-34 Indian English AI, these alternatives can greatly boost your campaigns ROI.
Custom Large Language Models (LLMs)
Depending on client requirements, sometimes the outcome needs to be a custom Large Language Model (LLM).
Starting with an open source generative AI, VideoTranslator is able to create, host and deploy custom LLM's. We offer alternatives which can be trained on your data, which sit inside your data centre, preventing loss of data.
Specific to healthcare clients, our solutions allow you to stay current with existing privacy and cybersecurity policies or legal requirements, while still tapping the power of AI for your clients.