Beta Version: - Visit v-modal.com to get a limited Beta API Key
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V-Modal is an AI-powered multimodal video and image search platform designed to help mobile and web applications index, process, and search through video content using natural language and visual queries.
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Instead of relying on rigid, manually entered tags or simple file descriptions, the platform allows users to find specific moments inside videos by typing plain-text descriptions (e.g., searching for "red car at night").
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Collection of SDK for Multimodal Video, Image Search on any platform: Android, IOS, IoT device, Web, Camera, ...
SDK :
- Flutter SDK : https://github.com/v-modal/vmodal_sdk_flutter
- Android SDK : https://github.com/v-modal/vmodal_sdk_android
- Natural Language Video Search: Analyzes actual video frames and contextual data so users can search video content using conversational phrases.
- Multimodal Queries: Supports search structures across multiple inputs, allowing platform integration for video-to-video, text-to-video, and image-based search intents.
- Cross-Platform SDK Support: Offers tailored developer toolkits including a native Android Kotlin SDK and a cross-platform Flutter SDK wrapper for uniform implementation.
- Optimized Mobile Media Handling: Features built-in memory management tools—such as signed streaming URLs and chunked multipart video uploads—to ensure massive video archives do not crash or slow down mobile devices.
- Media & Entertainment Apps: Enabling viewers to jump to precise time-stamps or specific scenes inside a massive video catalog.
- E-Commerce & Social Commerce: Powering visual search where users can pull up video clips of products based on images or descriptions.
- Surveillance & Security Systems: Searching through long stretches of security or dashcam footage for highly specific visual indicators.