SNS has published a guide to address the growing demand for AI-powered video indexing, transcription, facial recognition, and searchable metadata across media libraries, positioning its AI Suite platform as an on-premises solution for these requirements.
SNS AI Suite performs automatic speech-to-text with multilingual translation, multi-speaker diarization, facial recognition and ID mapping, custom AI model training for specific faces and voices, object and scene detection, OCR text extraction from on-screen graphics, and natural language search across indexed metadata. All processing is performed on-premises under a flat perpetual license with unlimited processing time, with no cloud processing fees or external data transmission.
This guide contrasts on-premises AI processing with cloud-hosted alternatives and identifies two key concerns about the cloud approach for organizations processing high volumes of video. Unpredictable costs associated with increased processing volume and data leakage when proprietary footage and biometric information is sent to external platforms.
Key evaluation criteria recommended by the guide for organizations selecting an AI media indexing system include custom training capabilities, scalability, predictability of the licensing model, and on-premises vs. cloud architecture.
All metadata extracted by AI (transcripts, speaker logs, face mapping, object tags, scene descriptions, etc.) is indexed into an on-premises database that is searchable with timecode-level precision. AI Suite includes APIs to integrate with external MAM and DAM systems at no additional charge and can be deployed alongside EVO or your existing storage infrastructure.
More information and access to a demo can be found at snsevo.com.
