Case Study: AI-Powered Video Transcription & Content Localization Solution

An information technology and service organization required an AI-powered solution to automate video and audio transcription, translation, and localization. The objective was to improve content accessibility, support multilingual audiences, and eliminate the inefficiencies of manual transcription and translation processes.

The Challenges:

• Manual transcription took hours and introduced frequent typing errors into final documents.

• Translating and voicing media in multiple languages required complex, expensive manual workflows.

• The absence of automation limited the production of AI-enhanced transcripts.

• Content accessibility remained limited for non-native speakers and people with hearing impairments.

The Solution:

• Clarion`s developed a cloud-based AI solution to automate video and audio transcription, translation, editing, and multilingual content localization.

• Built AI-powered speech-to-text capabilities using Azure Cognitive Services to automatically detect spoken languages and generate transcripts.

• Applied Natural Language Processing (NLP) to refine transcript quality and improve transcription accuracy.

• Enabled multilingual AI-generated voiceovers using Text-to-Speech while supporting audio, video, and text-based content inputs.

• Built the solution using ASP.NET, JavaScript, jQuery, Razor, Azure Cognitive Services, Azure OpenAI, Azure SQL Database, and Azure Blob Storage.

The Business Outcomes:

• Saving significant time for content teams by automating manual transcription and translation tasks.

• Lowering human localization expenses to make multilingual content generation cost-effective.

• Improving accessibility for hearing-impaired users through automatic transcript production.

• Expanding global content reach by adding multi-language AI voiceover capabilities.