It is our mission to allow everyone to broadcast multilingual live streams to a global audience. Our powerful AI solutions, combined with expert support, make it easy for anyone to produce their own multilingual event. For those who prefer, we also offer a serviced solution, finding the best interpreters and captioners and helping you to manage your livestream.
SaaS Video Platform
Support for Live and VoD Streaming
Remote Simultaneous Interpretation
Any number of languages
Live AI Generated Closed Captions
Any number of languages
Live AI Captions with Real-Time Correction
Live stream with 100% Accurate subtitles
Multilingual Simulive Streaming
Perfect live streams from pre-recorded videos
Multilingual Live Broadcasts (SRT, RTMP)
Send audio tracks in your live broadcast
Live Streaming
Global HD adaptive video streaming
AI Real-time Translation
Any number of languages
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The quality of our solutions. All customers who tried a similar solution say that the quality of our AI-generated multilingual live streams is simply amazing.
For example, Clevercast offers the same quality for AI generated closed captions in live streams as people are used to from Netflix or television.
Delivering this quality and accuracy isn't possible with meeting technologies, which require every word to be shown as soon as it is spoken.
Our solutions are used by companies in all industries that want to broaden their audience or require specific functions. They can be integrated into corporate environments as well as used for one-off events.
Clevercast is a powerful live streaming platform for all kinds of purposes:
And a whole lot more…
Clevercast, founded in 2005, is an industry leader in delivering innovative video streaming solutions. We have extensive expertise in video production and streaming and use it to develop solutions and services that add comprehensive value to live and on-demand streaming. We offer a feature-rich streaming platform to companies and organizations, as well as niche solutions for e-learning and marketing purposes.
Our revolutionary way to automatically add high-quality audio translations and multilingual subtitles to live video broadcasts makes live streaming video accessible to everyone, no matter what language people speak, by combining our streaming expertise with the new capabilities of AI technologies.
Our streaming architecture, designed and developed in-house, is largely based on open source technologies and open standards. This makes us much more flexible than competitors who rely on third-party solutions. We try to stay away from proprietary software and technologies: these do not offer enough flexibility to stay innovative.
In the field of AI technology, our approach is dynamic and proactive. Developments in the field of AI are moving fast. We constantly monitor and refine our existing solutions while actively seeking opportunities for improvement. This commitment to innovation aligns with our dedication to providing the most advanced and effective AI solutions.
Our AI powered platform is able to increase the quality of multilingual live streaming while reducing costs – something that was not thought possible until recently.
Our multilingual streaming solution is fundamentally different from the meeting solutions offered by our competitors. Meeting solutions must deliver real time translation to online speakers with absolutely no delay, but they cannot provide sufficient context to AI engines, and this results in significantly lower accuracy. Moreover, they are not scalable for larger audiences and cannot be used on most mobile devices.
The option of having language professionals correct the AI speech-to-text conversion in real time, before it is added to the live stream, is unique to Clevercast. It is almost invariably used for high-profile events, where perfection is desired and the cost of hiring language professionals is only a fraction of the total budget.
Hello. In one of my previous posts Clevercast was mentioned as an option for multi-language livestreams. I've begun investigating and will get into a test account next week. Has anyone used this and if so, how was the experience? Source: almost 2 years ago
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