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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>meetus + doocus — local offline context extractor</title>
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<body>
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<div class="wrap">
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<header>
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<h1><span class="a">meetus</span> + <span class="b">doocus</span></h1>
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<div class="sub">A local, offline context extractor · deterministic · no cloud AI touches the source</div>
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</header>
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<section>
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<p>Turn a downloaded Google Drive — meetings <strong>and</strong> documents — into a
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searchable, browsable, packageable knowledge base, then hand focused subsets to the
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AI services you're allowed to use (Gemini web, NotebookLM). Two offline pipelines
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feed two local UIs over a shared component framework.</p>
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<p>
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<span class="tag">meetus → meeting transcripts (WhisperX + frames)</span>
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<span class="tag">doocus → documents → text + metadata tree</span>
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</p>
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<div class="diagram"><img src="graphs/architecture.svg" alt="meetus + doocus architecture"></div>
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</section>
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<section>
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<h2>The two pipelines</h2>
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<div class="grid2">
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<div>
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<h3>meetus — meetings</h3>
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<p>WhisperX (speaker diarization) + FFmpeg scene-detection frames → an enhanced
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transcript with frame references.</p>
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<pre><code>uv run process_meeting.py meeting.mkv \
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--embed-images --scene-detection \
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--scene-threshold 10 --diarize</code></pre>
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<p>Batch a tree with <code>make batch IN=<dir></code>. <code>--out-format</code>
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controls the run-folder name (e.g. <code>{name}.meetus</code>).</p>
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</div>
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<div>
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<h3>doocus — documents</h3>
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<p>Replicates the whole tree into <code>index.json</code>; extracts text sidecars
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(<code>content.md</code> + <code>meta.json</code>) only for docx/pdf/pptx/xlsx —
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other files are linked, not duplicated.</p>
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<pre><code>uv run process_tree.py "/path/to/drive" \
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--output "doocus-data/<source>" --only docs</code></pre>
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<p><code>--only {all|docs|meetings}</code> scopes a collection.</p>
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</div>
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</div>
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</section>
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<section>
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<h2>Outputs & collections</h2>
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<p>Each app writes to a <strong>managed root</strong> (gitignored), one subfolder per
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source, mirroring the source structure:</p>
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<ul>
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<li><code>doocus-data/<source>/</code> — document collections (<code>index.json</code> + <code>.doocus/</code>)</li>
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<li><code>meetus-data/<source>/</code> — meeting collections (<code>index.json</code> + <code>.meetus/</code>)</li>
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</ul>
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<p>Collections whose <code>index.json.root</code> match are the <strong>same source</strong>:
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the doocus UI merges their docs + meetings into one tree, toggled as one source. When a
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file exists in two collections, the copy whose sidecar resolves wins. A meeting's
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<code>.meetus</code> must sit in the <strong>same folder</strong> as its collection's index.</p>
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</section>
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<section>
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<h2>The UIs</h2>
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<p>Local Vue 3 + Vite apps over <code>ui/framework/</code> (shared components + tokens):</p>
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<ul>
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<li><strong>meetus-app</strong> — review a meeting: video + transcript (edit/read, speaker
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merge, select mode) + frame selector, time-synced.</li>
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<li><strong>doocus-app</strong> — browse the merged tree, <strong>search</strong> the cached
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text (transcripts, extracted docs, raw files), per-type viewers, and <strong>package</strong>
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selected files. Meetings <strong>embed the meetus review</strong> (<code>@review</code>,
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composed — not duplicated).</li>
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</ul>
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<pre><code>cd ui/doocus-app && DOOCUS_DATA="/abs/doocus-data,/abs/meetus-data" npm run dev
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cd ui/meetus-app && MEETUS_OUTPUT=/abs/output npm run dev</code></pre>
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</section>
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<section>
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<h2>Packaging</h2>
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<p>The doocus package builder zips selected <strong>originals</strong> + their
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<code>content.md</code> for a target (Gemini web ≤10 files/≤100 MB, or NotebookLM).
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Originals are what the permitted services consume; the extracted text is the local
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<strong>search index</strong> — never a replacement for the document.</p>
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</section>
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<section>
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<h2>Install</h2>
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<pre><code># system
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sudo apt-get install ffmpeg graphviz # + tesseract-ocr, poppler-utils (optional)
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# python (uv feature groups)
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uv sync --group meetus # meeting pipeline
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uv sync --group doocus --group ocr # docs + OCR
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# whisper/whisperx are external CLIs (install separately, often a GPU env)
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pip install whisperx # diarization needs a HuggingFace token
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# UIs
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cd ui/meetus-app && npm install
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cd ui/doocus-app && npm install</code></pre>
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</section>
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<footer>
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Repo map & contributor docs: <code>INDEX.md</code> · <code>doocus/README.md</code> ·
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diagram source in <code>docs/graphs/</code> (<code>make graphs</code>).
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</footer>
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</div>
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</body>
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</html>
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