Using Automated Speech Recognition to Make File-Based Captioning More Efficient and Less Costly
The cost of human-driven captioning is rising as interest in the overall profession is declining. Automated Speech Recognition engines have improved dramatically over the past five years and deliver very accurate speech-to-text conversions in multiple languages that rival those provided by humans, but at a substantial savings.
Are currently uploading content to the cloud or a service provider but don’t like losing control of your content ? There’s a better way!
Welcome to SubCaptioner, our on-premise automated, file-based captioning solution.
SubCaptioner is available in an on-premise version so you never lose control of your content. No need to upload to another location or to the cloud. On-premise means better security and protection and puts you in full control of the process.