I’m Too Lazy to Google Search an Image and Paste it Back in Word, So I Built EZSearch

说明与用途

EZSearch 通过本地 Llama 3.2 3B 和 CLIP ViT‑B/32 模型，自动在文档中查找并插入图片，将搜索时间从一小时缩短到十分钟。

问题

Users waste time searching for suitable images to paste into documents, often spending up to an hour to find non-blurry, non-watermarked photos that match a sentence.

结果

EZSearch reduced image search and paste time from ~1 hour to ~10 minutes, with the first search taking ~13 s and subsequent searches ~1 s thanks to caching. The tool operates entirely offline for query building and scoring, sending only a short query over the network.

工作流

• Select a sentence in any document or browser.
• Press Ctrl+Shift+X to trigger EZSearch.
• A popup appears with up to eight matching images.
• Click an image to paste it into the document; Ctrl‑click opens the source; right‑click copies attribution.
• The sentence is sent to a local LLM (Llama 3.2 3B) to build a query; images are fetched; CLIP scores them; the best image is pasted.
• Cached results speed up repeat searches.

证据

The sentence is read from the clipboard and handed to the local Ollama server, so it never leaves the machine.

来源

~13 s for the first search of a new subject on this laptop, with no GPU and no API.

来源

I was able to reduce my time to just 10 minutes, taking roughly 30‑45 seconds to show suggested images.

来源

The sentence is read from the clipboard and handed to a local Ollama server, so it never leaves the machine.

来源