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AI content-repurposing tool that turns long videos into short clips, transcripts, subtitles, blogs and show notes.
An AI summarizer that turns YouTube, video, audio, PDFs and webpages into notes, transcripts, translations and mind maps.
Search engine giving science-based answers to medical questions.
Serverless platform for running and fine-tuning image, video, audio and 3D generative models via one fast API.
High-performance open-source vector database for production AI retrieval and RAG, for teams needing scale, hybrid search, or self-hosting.
No public pricing
No public pricing
No public pricing
- ✦Auto-generate short clips from long videos
- ✦One-click summaries, blogs and show notes
- ✦High-accuracy transcription
- ✦Subtitles in 120+ languages
- ✦Edit video from the transcript
- ✦Automatic captions and descriptions
- ✦YouTube summarization and transcripts
- ✦Video and audio summarization
- ✦PDF and webpage summarization
- ✦Mind map generation
- ✦Translation and knowledge extraction
- ✦Export to MP3, MP4 or structured notes
- ✦Direct answers to health questions
- ✦Answers based on trustworthy sources
- ✦Fast search results
- ✦1,000+ generative model APIs
- ✦Serverless GPU inference engine
- ✦On-demand and dedicated GPU clusters
- ✦Model fine-tuning and custom deployments
- ✦Bring-your-own-weights and private endpoints
- ✦SOC 2 compliance and enterprise features
- ✦Hybrid dense and sparse vector search (BM25, SPLADE, miniCOIL)
- ✦Advanced metadata filtering applied during search traversal
- ✦Multivector support for multimodal retrieval
- ✦Reranking with score boosting and late-interaction models (ColBERT, MMR)
- ✦Flexible deployment: cloud, hybrid, private, or edge
- ✦Rust-based engine optimized for low-latency, high-scale search
- →Repurpose podcasts and videos into content
- →Create social clips from long videos
- →Add multilingual subtitles
- →Summarizing YouTube lectures for study
- →Extracting notes from PDFs and articles
- →Turning long content into mind maps
- →Finding quick and accurate answers to medical questions.
- →Adding image/video generation to an app
- →Running fast diffusion-model inference at scale
- →Training or fine-tuning custom generative models
- →Building retrieval-augmented generation (RAG) pipelines
- →Powering AI recommendation and semantic search systems
- →Enterprises needing on-prem or hybrid deployment for compliance
- →AI agent platforms needing fast contextual retrieval at scale