LLM-Ready Video Retrieval

Ingest your video, audio, or image libraries and get structured, time-coded data—accessible via a natural-language search API.

Skip the OCR scripts, transcript hacks, and custom chunking.

With FrameSearch, you can connect raw media—video, audio, or images—and get structured, search-ready output optimized for language models. No pipeline stitching. No vector math. Just natural-language search that understands your content, out of the box.

How It Works

Ingest

Upload files or connect cloud storage. We extract all meaningful signals: speech, visuals, text, scenes, and structure.

Index

Content is semantically embedded and time-aligned for retrieval.

Query

Ask questions via API. Get clips, transcripts, and structured metadata in milliseconds.

Connect

Feed results to your LLM, search UI, dashboard, or automation flow.

Key Benefits

Natural-language access

Search your media with plain English prompts

Multimodal by default

Understands visuals, speech, and on-screen text

Structured output

Returns clean, time-coded data ready for vector DBs or LLMs

API-first design

One endpoint handles ingest, indexing, and retrieval

Built for scale & security

Fast, fault-tolerant, and VPC-deployable

No orchestration required

Skip model hosting, pipelines, and GPU management

FrameSearch makes your media searchable, structured, and LLM-native.

Get Started