USE CASETMT

Expanding Content Reach with AI — Supporting Subtitles, Translation, and Accessibility

Subtitles, transcripts, and translations play an important role in making video, audio, and livestream content available to diverse audiences.

However, manually transcribing long-form content, adjusting subtitle timing, and translating content into multiple languages require significant time.

By using speech recognition and generative AI, media companies can efficiently create draft transcripts, subtitles, and translations for editorial review.

01Challenge

Subtitle and Translation Production Requires Time and Specialized Knowledge

Creating subtitles requires more than accurately converting speech into text. Editors must also divide the text into readable segments, set display timing, and identify individual speakers.

Translation requires consideration of context, proper nouns, specialist terminology, and the speaker’s intended meaning rather than simply replacing individual words.

As the volume of content and the number of supported languages increase, the workload required for production and review also grows.

02Solution

AI Creates Draft Transcripts, Subtitles, and Translations

Speech recognition AI can transcribe video and audio content. The resulting transcript can then be used to generate draft subtitles and translations.

For example, media companies can create a workflow such as:

  1. 1Video or Audio Registration
  2. 2AI-Powered Transcription
  3. 3Subtitle Segmentation
  4. 4Draft Translation
  5. 5Editorial Review and Revision
  6. 6Subtitle Data Export

Before publication, editors or language specialists review AI-generated subtitles and translations and adjust proper nouns, specialist terminology, expressions, and display timing.

03Use Cases

Potential Applications

  • Automated transcription of video and audio content
  • Draft subtitle creation
  • Support for adjusting subtitle display timing
  • Draft translation into multiple languages
  • Speaker identification and dialogue organization
  • Standardization of proper nouns and specialist terminology
  • Subtitle support for livestreams
  • Search and reuse of subtitle and transcript data

04Expected Benefits

Content Operations That Reach More People

By using AI to create draft transcripts and translations, editors can spend less time on manual data entry and focus more on reviewing language and quality.

Expanding subtitle and multilingual support can also make content more accessible to audiences who have difficulty hearing audio or who use different languages.

Robo Lab uses speech recognition, generative AI, and automation technologies to support subtitle production, translation, and accessibility for media companies.

More TMT use cases

All use cases
Opens in a new tab