Translated’s Matesub Enhances Subtitling Accuracy And Speeds Delivery Time

Matesub – a new AI-based product from Translated – allows subtitlers to focus exclusively on the creative aspects of the translation process while advanced algorithms handle the most redundant and time-consuming tasks.

Matesub enables creating subtitles in dozens of languages faster and more accurately than ever.

AI algorithms matched with powerful WYSIWYG editing avoid the high costs and lengthy delivery times associated with traditional manual processes, creating an advanced subtitling experience for studios, post-production houses, and subtitling professionals in all fields.

The web-based technology offers auto-transcription, auto-translation, and auto-spotting into more than 90 languages, helping subtitlers and content producers communicate effectively to broader audiences.

The amount of content produced and consumed daily by users has reached unprecedented volumes. Unlike many currently available solutions, Matesub generates subtitles according to user-defined parameters, such as the number of characters per line and reading speed. It also continuously improves the efficiency of AI models, through human edits made to the machine-generated subtitles.

Users can upload video content in any format and within minutes Matesub provides a complete transcription and pre-processed translation. An auto-spotting feature positions subtitle text correctly and according to client guidelines, triggering user alerts when content errors are detected. Users can review subtitled video content in real time without needing to download any files first.

When a project is completed, a secure download link is generated for sharing, review, and approvals. Every file uploaded to Matesub is securely stored and encrypted in the cloud, and users have full control over who can access, share and edit files.

You might also like...

Machine Learning For Broadcasters: Part 2 - Applications

In part one of this series, we looked at why machine learning, with particular emphasis on neural networks, is different to traditional methods of statistical based classification and prediction. In this article, we investigate some of the applications specific for…

NextGenTV Mid-2022 Progress Report

Some call it the Broadcast Core Network, or Broadcast Internet, or One-to-Many Private Datacasting. Others simply call it datacasting.

How To Achieve Broadcast-Grade Latency For Live Video Streaming - Part 1

For a serious discussion about “making streaming broadcast-grade” we must address latency. Our benchmark is 5-seconds from encoder input to device, but we cannot compromise on quality. It’s not easy, and leaders in the field grapple with the trade-offs to en…

Information: Part 5 - Moving Images

Signal transducers such as cameras, displays, microphones and loudspeakers handle information, ideally converting it from one form to another, but practically losing some. Information theory can be used to analyze such devices.

Master Control: Part 2 - Communications

This second part of our Master Control mini series tackles COMMS - without which we would have chaos.