What is Valossa?
Valossa is a pioneering AI video analysis platform founded in 2015 by leading experts in computer vision and machine learning. The platform leverages multimodal AI technology to provide comprehensive video content analysis, including speech-to-text conversion, computer vision processing, and emotion analysis.
The platform offers various specialized tools including Transcribe Pro Vision for captioning and translations, Ad Scout for brand-safe advertising, Auto Preview for automated video clipping, Moderator for content screening, and Moods for sentiment analysis. With nearly 100 years of combined R&D experience, Valossa delivers industry-leading accuracy in video intelligence systems.
Features
- Multimodal Analysis: Combined video, audio, and image recognition capabilities
- Automated Transcription: Speech-to-text and visual description generation
- Content Moderation: Detection of sensitive and inappropriate content
- Sentiment Analysis: Deep emotion and mood detection in videos
- Automated Preview Generation: AI-powered promotional video clipping
- Brand Safety: IAB Content Taxonomy and GARM categories compliance
- Face Recognition: Custom face gallery training capabilities
- Translation Services: Multi-language caption and transcript support
Use Cases
- Video content transcription and captioning
- Brand-safe video advertising
- Promotional video creation
- Content moderation and compliance
- Video mood and sentiment analysis
- Video search and indexing
- Content metadata generation
- Video monetization
FAQs
-
Can I customize the AI for specific recognition needs?
Yes, Valossa offers customized AI solutions and feature development tailored to specific use case requirements. -
What is the processing speed for video analysis?
The analysis speed is typically less than half the video playback time, with excellent scalability for larger video volumes. -
Is on-premises deployment available?
Yes, on-premises setups are available, though initial costs and IPR protection precautions may vary case by case.
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