SNS has published a guide addressing growing demand for AI-powered video indexing, transcription, facial recognition, and searchable metadata across media libraries, positioning its AI Suite platform as an on-premise solution to these requirements. The SNS AI Suite performs automatic speech-to-text transcription with multi-language translation, multi-speaker diarization, facial recognition and identity 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 runs on-premise under a flat perpetual license with unlimited processing hours, without cloud processing fees or external data transmission. The guide contrasts on-premise AI processing with cloud-hosted alternatives, citing two primary concerns with cloud approaches for organizations processing large video volumes: unpredictable cost scaling as processing volume grows, and data exposure when proprietary footage or biometric information is transmitted to external platforms. Key evaluation criteria the guide recommends for organizations selecting an AI media indexing system include custom training capability, scalability, licensing model predictability, and on-premise versus cloud architecture. All AI-extracted metadata — including transcripts, speaker logs, face mappings, object tags, and scene descriptions — is indexed into a searchable on-premise database with timecode-level precision. The AI Suite includes an API for integration with external MAM and DAM systems at no additional charge and can be deployed alongside EVO or existing storage infrastructure. More information and demo access is available at snsevo.com.