Bridging the gap between rich media content and actionable human intelligence.
We live in a world overflowing with video content. Tahlilchi AI was built to solve this latency of information. By using multimodal AI, we instantly transform linear video into structured, searchable, and interactive knowledge.
Powered by Google's Gemini, Tahlilchi AI utilizes a massive context window to process video frames and audio tracks simultaneously, allowing it to understand visual context unlike text-only models.
Processes native MP4/WebM video frames and audio tracks at 1 FPS simultaneously without lossy audio-only transcription pipelines.
Can ingest and analyze 1+ hour continuous full-HD video lectures, townhalls, or documentary streams in a single inference call.
Guarantees structured schemas across 7 domain modes: Meeting decisions, Fact-checks, Quizzes, 3V Scorecards, and Child ratings.
Stateless architecture. Your API key and analysis records stay strictly inside your browser localStorage.
Multimodal AI Architecture
Dedicated to democratizing access to cutting-edge multimodal intelligence and building real-world implementations of models like Gemini 2.5 and Gemini 3.
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