Gety
Local file search that helps people and AI agents find precise context across their computer.
Community:
Product Overview
What is Gety?
Gety is a local-first file search application built for knowledge work and agent workflows. It indexes files across local folders and connected drives, enabling fast keyword and semantic search across documents, images, PDFs, and other file types. Gety can also provide selected file context to tools such as Claude, Cursor, Codex, and other MCP-compatible applications, helping agents create reports, presentations, code, and research outputs based on a user's actual files. Search and indexing run locally, while users can review or control what content is shared with connected AI tools.
Key Features
Local File Indexing
Indexes files across local folders, Desktop, downloads, and supported cloud-drive locations without uploading the full file collection to a remote service.
Semantic File Search
Finds documents by meaning as well as exact terms, helping users surface relevant files even when they use different wording.
OCR and Content Extraction
Reads text in scanned PDFs, screenshots, and images so visual documents can be searched alongside standard files.
Relevant Passage Retrieval
Surfaces matching passages and document previews, allowing users to jump directly to the information behind a search result.
AI Agent Integrations
Connects with Claude, Claude Code, Codex, Cursor, VS Code, and other compatible tools through MCP, API, CLI, or LAN access.
Controlled Context Sharing
Lets users approve each AI access request or enable ongoing access, with agents receiving relevant snippets rather than unrestricted file exposure.
Use Cases
- Project Research : Search project folders, cloud-drive files, and desktop documents to quickly locate plans, decisions, requirements, and supporting evidence.
- Agent-Assisted Reporting : Give an AI agent access to selected source material so it can prepare grounded reports, briefs, status updates, and executive presentations.
- Document Recovery : Find forgotten files using concepts, phrases, dates, file types, or text extracted from scanned documents and screenshots.
- Developer Context Retrieval : Help coding tools retrieve specifications, architecture notes, local documentation, and project files before generating or modifying code.
- Private Knowledge Search : Search sensitive work files locally while retaining control over whether and when content is shared with external AI services.
FAQs
Gety Alternatives
ReadWonders
AI-powered research workspace that accelerates literature review and insight discovery across 500M+ scholarly resources.
Perplexica
Open-source AI-powered search engine delivering real-time, privacy-focused, and context-aware answers with multi-model support.
Potion AI
A specialized platform streamlining ingredient discovery, formulation, and compliance for beauty and personal care product developers.
PubCompare
AI-powered platform offering the largest trusted database of experimental protocols with advanced tools for protocol comparison and reproducibility analysis.
Zedek.ai
B2B SaaS evaluation platform that transforms scattered software research into ranked, decision-ready shortlists using context-aware matching and transparent data sources.
Neeva AI
Ad-free, subscription-based search engine utilizing AI for accurate, personalized results.
Lumona
AI-powered search engine integrating social media insights to deliver trustworthy, comprehensive search results.
NBot
Intelligent content monitoring platform that builds custom AI trackers to filter web noise and deliver context-aware insights on topics that matter.