Welcome to
Media Captioning Services

the premier real-time closed-captioning company in the country

 

Welcome to
Media Captioning Services

over 30 years of real-time captioning experience

 

Welcome to
Media Captioning Services

over 1,042,000 hours of national and local programming captioned since 1987

About Us

MCS, as we are also known, was formed in 1987 by Patricia Ferrier of Los Angeles, and was the first woman-owned closed captioning company formed in the U.S. It remains the largest privately held woman-owned closed captioning company in the U.S.

realtime closed captioning

Realtime captioning is the process of creating text from the audio or speech track of television broadcasts and streaming video.

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Order MCS Captions

If you are interested in choosing MCS for your real time closed captioning needs, please use the following form.

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FeedBack Forms

Experience – MCS has captioned over1 million hours while addressing any technical issues that can occur in the captioning

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Closed
Captioning

What is
real-time captioning

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closed captioning

Captioning Explained

Closed captioning is an assistive technology that allows the deaf and hard of hearing to enjoy television programming.

Closed Captioning FAQs

This fact sheet provides general answers to questions that may arise about the implementation of the rules mandated

Laws and Regulations

Choose from the links below to learn more about the laws and regulations governing the implementation of closed

Internet Captioning

Use CYBERSCRIPT™ services for your internet captioning events. Contact us at 888-777-3966 for further information.

Management Perspectives

Recent advances in the field of artificial intelligence spurred by developments in neural network research, computer processing power, and in some respects, the internet, have given rise to myriad speculation about applications for this technology in speech-to-text.

Although advances have been impressive, current automated speech-to-text systems are failing to produce better than 90% accuracy on even the most common turnkey transcription or speech-to-text applications, at least from commercially available systems. Cognitive resolution of words to produce accurate replication of speech to text is still elusive, and still awaits further advances in neural network/cognitive recognition by these computing systems.

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