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xrem

跨平台屏幕记录和搜索工具,实时捕捉数字生活轨迹

xrem是一款正在开发中的跨平台屏幕记录和搜索工具,致力于实时捕捉数字生活轨迹。该工具每2秒自动截图并使用OCR技术提取文字,提供高效的时间线浏览和搜索功能。采用Rust编写,确保跨平台兼容性和高性能。虽然仍处于早期阶段,xrem已实现基本的录制、OCR识别、视频流生成和搜索功能,为后续功能扩展奠定基础。目前已支持基本的状态栏操作、截图捕获、OCR文字识别和高效视频流生成。项目仍在积极开发中,计划实现实时OCR、自然语言搜索等高级功能。项目开源,欢迎社区贡献,共同推进开发。

xrem

Cross-platform in-progress implementation of rem

Way too early to use- seriously, it's not useful yet.

But I want to help develop it!

Oh! That'd be awesome. Just run:

npm run tauri dev -- --release

Does a lot worse in debug mode in terms of performance.

"implemented" (read: likely terrible)

Currently implements, in a parallel / non-blocking way:

  • click the status icon and choose to start / stop recording
  • screenshot capture every 2 seconds
  • OCR at capture time
  • calculate text embedding (rem doesn't have this yet lol, and this is commented out anyway for now, but it works)
  • stream to mp4 without writing pngs to disk
  • basic tray icon + menu
  • efficient timeline seeking of a recorded data (with front-end)
  • view and "search" history as thumbnails: i put it in quotes because search is not working well yet
  • navigate to timeline frame by clicking search result

NOTE:

  • NO CACHING YET (this is vital for fast seeking between video files, currently big delay when swapping chunks)

(more recent screenshot of tray - still using default tauri logo)

image

Recent "search" (recent items) functionality

https://github.com/jasonjmcghee/xrem/assets/1522149/4c8dbff9-4a85-47d1-a0a7-51059f624659

More recent timeline seeking demo

https://github.com/jasonjmcghee/xrem/assets/1522149/4d551500-c905-453c-b35b-83ca969c5159

First Demo of basic poc:

Taking screenshots + ocr transcript printed to terminal, screenshots streamed to videos and saved, then manually showing this by scrubbing.

https://github.com/jasonjmcghee/xrem/assets/1522149/bbf7903a-77ae-4540-85c5-9430c05355fc

It can keep up on my M1 Air, haven't tested elsewhere yet...

BUT, this is using cross-platform rust libraries for the functionality we need.

FAQ

  • when will it be ready?
    • idk, but with your help it might go faster
  • why is the current ocr solution screaming about ARNs?
    • idk, if it was AWS's textract it might make more sense
  • not having live text analysis (MacOS) seems like selecting from past screenshots will be much harder to build
    • yeah

not implemented at all

  • Live OCR
    • overlay transparent text on image so as to be selectable (potentially works on Mac due to webview, but won't work elsewhere)
  • better search UI (matched text - not working well, date, application?)
  • natural language search
  • settings
  • window-specific OCR / filtering
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