GoldenRetriever.ai Public Beta
Search for stuff that's not in the transcripts
GoldenRetriever.ai Public Beta launched on May 9, 2026 with 36 votes, #806 of 20,538 launches that month and more than 95% of that year's launches.
In plain words
GoldenRetriever.ai is a Mac-based search tool that finds specific moments in videos, audio files, PDFs, and images using multimodal AI, going beyond transcripts alone. Users ask questions in plain English and receive answers with exact timestamps and sources, even for content in foreign languages. The tool indexes files locally on the user's Mac while using their own Google Gemini API key for processing, keeping originals on disk. It's designed for anyone with recordings, documents, or media archives who struggle to locate specific information within them. The first 100 files are free to search.
written from the facts on this page · September 2026
From the sources
Search for stuff that's not in the transcripts! Your videos, recordings and documents are full of moments you can't find. GoldenRetriever.ai runs on your Mac and searches folders by what's shown as well as transcribed. Ask a question, land on the exact moment – with sources and timestamps. Find a scene from a recording. Pull up photos by theme. Check whether your insurance policy covers something, even when it's in German and you're searching in English. Free for your first 100 files.
AI search that watches your videos and hears your audio — not just transcripts. Ask questions in plain English, get sourced answers with timestamps. Free to start. Privacy-first.
Index files on your Mac. Videos, audio, PDFs, slides, screenshots, scans — understood by multimodal AI and searchable by meaning, in plain English (even if the file is in Japanese). Your originals stay on disk; AI traffic uses your own Gemini API key, billed by Google directly. You've recorded years of meetings, podcasts, lectures, demos, decisions . Saved decks, scans, screenshots, contracts. They sit as opaque blobs that search can't see into. The next time you need that one moment — you can't find it. All that knowledge is locked inside files that search can't reach. Other tools convert your video to text, then search the text. GoldenRetriever uses multimodal AI to understand the…from goldenretriever.ai
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Gemini can now natively embed video, so I built sub-second video searchMar 2026 · github.com · ▲438Gemini Embedding 2 can project raw video directly into a 768-dimensional vector space alongside text. No transcription, no frame captioning, no intermediate text. A query like "green car cutting me off" is directly comparable to a 30-second video clip at the vector level. I used this to build a CLI that indexes hours of footage into ChromaDB, then searches it with natural language and auto-trims the matching clip. Demo video on the GitHub README. Indexing costs ~$2.50/hr of footage. Still-frame detection skips idle chunks, so security camera / sentry mode footage is much cheaper.
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MomentClipJan 2026 · momentclip.com · ▲7Hey HN, I wanted a way to search across multiple YouTube videos at once, find every time someone discusses a topic, compare how different creators explain the same concept, or pull all mentions of a keyword across a channel's archive. The interesting part: it uses Gemini's multimodal capabilities to search visually, not just transcripts. So you can find "the whiteboard diagram" or "when he shows the demo", things transcript-based tools completely miss. Stack: Next.js, Convex, Clerk, Gemini 3 Flash Would love feedback from anyone who works with video content. https://momentclip.com
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