I agree. I am big fan of o3, and GPT 5 is not the same, it's like going back to GPT-3 level stupidity. It doesn't care about context, feels super dumb.
Model-Agnostic Infrastructure: Any AI model—open-source, proprietary, LLM, or VLM—can instantly gain real-time vision capabilities. No more waiting for Google to open their doors.
Immediate Availability: Unlike Project Astra, which is still behind Google's beta gates, VideoDB is usable today. Anyone can plug into the API, SDK, or cloud console immediately.
Openness and Developer-Friendliness: Seamless integrations with popular AI tools and frameworks like LlamaIndex, LangChain, and Hugging Face dramatically reduce the barrier to entry. Just a few lines of code and you're live.
Keeping documentation and SDK updates aligned with evolving "LLM contexts" can quickly overwhelm dev teams. At VideoDB, we've built an open-source solution—Agent Toolkit—that automates syncing your docs, SDK versions, and examples, making your dev content effortlessly consumable by Cursor, Claude AI, and other agents. Ready-to-use template available.
A new benchmark study evaluates Vision-Language Models (Claude-3, Gemini-1.5, GPT-4o) against traditional OCR tools (EasyOCR, RapidOCR) for extracting text from videos. The findings show VLMs outperforming OCR in many cases but also highlight challenges like hallucinated text and handling occluded/stylized fonts.
The dataset (1,477 manually annotated frames) and benchmarking framework are publicly available to encourage further research.
This open-source agent framework is like ChatGPT, but for videos. It simplifies complex video tasks like search, editing, compilation, and—best of all—generation. The results stream instantly. You can even extend the agents to suit your needs and build custom automated workflows.
The framework is fully open source and uses a VideoDB key for cloud-based video storage, processing, and streaming. It seamlessly integrates with tools like Stable Diffusion, Eleven Labs, Kling, Replicate, and more.
Looking for collaboration with GenAI audio/ video teams and feedback from amazing devs out here.
It analyse the transcript, but there is no way to get back the video clip without building your own video infra. We at Videodb are solving the exact problem.
LLMs are great with text, but they don't help you consume or create video clips. Checkout PromptClip
- Use natural language to describe the what you want.
- Instantly get video clips with the help of LLMs like OpenAI or Claude.
Few interesting prompts we tried while building it and loved the results. There's no limit to creativity with this.
Build custom GPT on your video data with StreamRAG in 2 mins.This search agent find relevant moments across hundreds of hours of content and return a video clip instantly.
RAG applications are great with text, but with video they can't support simple requests like "show me where sleep improvement is discussed"