Docora vs Gety: Local AI Document Search Compared

Why Compare These Two?

Both tools process documents locally on your computer. Neither uploads your files to the cloud. But they solve different problems: Docora is built for document Q&A; Gety is built for computer-wide search and AI agent integration.

If you are a physician who needs to find specific dosing information in clinical protocols, a lawyer looking for indemnification language in contracts, or a consultant searching for specific data across client deliverables, you need document Q&A -- not just file search. If you want your entire computer indexed so any AI tool can answer questions about your files, Gety fills that role.

At-a-Glance Comparison

What Gety Does Well

Gety is a local search engine that runs in the background, indexing your files so any connected AI agent can answer questions about them. If you use Claude, ChatGPT, or another AI tool and want it to have context about files on your computer, Gety provides that integration layer.

Gety handles semantic search well -- searching "contract" finds "agreement" or "SOW" -- and supports exact match queries with quotes. The file types it indexes depend on what is on your computer, not a curated document library.

If your workflow involves jumping between a code editor, a PDF reader, a code repository, and a document folder, and you want all of them searchable from one place, Gety has an advantage over format-specific tools.

What Docora Does Well

Docora is purpose-built for the document question: "What is the dosing protocol for this drug in the Phase III trial?" or "What is the auto-renewal clause in this MSA?"

The key difference is that Docora produces AI-generated answers with exact citations -- file name, page number, and the specific passage. You do not need to open the file to verify the answer; the citation takes you directly to it.

Docora also understands document structure across formats. A PowerPoint slide number, an Excel row reference, a Word section heading -- these are all tracked and cited correctly. Gety returns file results; Docora returns pinpoint answers with verification built in.

The Architecture Difference

Gety works as a search engine + connector layer. It indexes files on your computer and exposes that index to connected AI tools via MCP (Model Context Protocol) or similar connectors. The AI generation happens in the connected tool (Claude, ChatGPT, etc.), not in Gety itself.

Docora is a complete document Q&A application. The indexing, retrieval, reranking, and answer generation are all handled together, optimized for document accuracy. This means Docora can provide structured citations that other tools cannot -- because the citation is part of the retrieval pipeline, not an afterthought.

For users who want a turnkey document search experience with no setup required, Docora's integrated approach means you download, point it at your folders, and start asking questions. For users who want to build custom AI workflows using their entire computer as context, Gety's connector model offers more flexibility.

Which Should You Choose?

Choose Docora if:

• You need AI-generated answers, not just file search results
• You work with PDFs, Word docs, PowerPoints, and Excel files
• You need exact page or slide citations for verification
• You want a standalone application with no setup beyond pointing at folders
• You are a physician, lawyer, researcher, or consultant who needs audit-ready answers

Choose Gety if:

• You want your entire computer indexed for AI agent use
• You primarily use AI agents (Claude, ChatGPT) and want them to see your files
• You need file-type-agnostic search across all file types on your computer
• You are comfortable with a more technical setup involving connectors and AI agents

Try Docora

If your primary need is document Q&A -- finding answers in PDFs, Word docs, PowerPoints, and spreadsheets with exact source citations -- download Docora and start searching in minutes. No connectors, no setup, no AI agent configuration required.