SentrySearch vs Twelve Labs

SentrySearch searches video footage by text or reference image and can return trimmed matching clips. It splits videos into overlapping chunks, embeds footage and queries into a shared vector space, and stores video vectors in a local ChromaDB database. Search options include text, image, anomaly highlights, and optional reranking of candidate clips. The project documents embedding backends including Gemini, Alibaba DashScope Qwen Cloud, LiteLLM, local Qwen3-VL, and MLX for Apple Silicon. Its local backend runs on the user's machine without an API key and is described as private and offline-capable. With Qwen Cloud, local video chunks are uploaded by the official SDK to DashScope-managed temporary object storage for processing. The scanner recursively finds MP4 and MOV files, including footage not from Tesla Sentry Mode. An optional Tesla overlay can use supported footage metadata for speed, GPS, and time information. The project requires Python 3.11 or later and FFmpeg or imageio-ffmpeg. It is open source under Apache-2.0 and supports Linux, macOS, Windows, and self-hosting.

Twelve Labs provides tools for searching and analyzing video, along with embedding generation for machine-learning pipelines. Its search uses natural-language queries to locate moments across speech, text, audio and visuals. The platform can summarize videos or answer prompts about their content. Jockey, a research-preview agent, can reason across videos and images and return answers with cited moments. Access is available through REST APIs and Python and Node.js SDKs; models are also available through Amazon Bedrock and AWS Marketplace. The Free plan is free and includes 600 minutes of video usage, index access for 90 days, up to 10 hours and 100 videos per index, and five concurrent indexing tasks. The Developer plan is pay as you go, with indexing at $2.50/hour, infrastructure at $0.09/hour/month and search at $4/1,000 queries. Enterprise contracts use committed-use pricing, with custom pricing and limits. Enterprise deployment options include cloud, private cloud or on-premises environments. Twelve Labs states that data is encrypted in transit and at rest.