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# meetus + doocus — a local, offline context extractor
# meetus + doocus
Turn a downloaded Google Drive (meetings **and** documents) into a **searchable,
browsable, packageable** local knowledge base then hand focused subsets to the
AI services you're allowed to use (Gemini web, NotebookLM). Every extraction step
is **deterministic and offline**; no cloud AI ever touches the raw source.
A local, offline **context extractor**: turn a downloaded Google Drive meetings
**and** documents — into a searchable, browsable, packageable knowledge base, then
hand focused subsets to the AI services you're allowed to use (Gemini web,
NotebookLM). Every extraction step is deterministic and offline; no cloud AI ever
touches the raw source.
Two pipelines feed two local UIs over a shared component framework:
- **meetus** — meeting recordings → enhanced transcripts (WhisperX + screen frames)
- **doocus** — documents → textified content + metadata, indexed into a tree
- **meetus** — meeting recordings → enhanced transcripts (WhisperX + screen frames).
- **doocus** — documents → textified content + metadata, indexed into a tree.
📖 **Documentation:** <https://docs.mcrn.ar/meetus/>
![Architecture](docs/graphs/architecture.svg)
> Diagram source: [`docs/graphs/architecture.dot`](docs/graphs/architecture.dot)
> (regenerate with `make graphs`). Repo map: [`INDEX.md`](INDEX.md).
## Install
### System dependencies
```bash
sudo apt-get install ffmpeg graphviz # ffmpeg: frames/thumbnails · graphviz: docs diagrams
# optional: tesseract-ocr (doocus --ocr), poppler-utils (pdf page render)
# macOS: brew install ffmpeg graphviz
```
### Python (uv feature groups)
Dependencies live in `pyproject.toml` as [uv](https://docs.astral.sh/uv/) groups —
install only what you need:
```bash
uv sync --group meetus # meeting pipeline (opencv, ffmpeg-python)
uv sync --group doocus # document extraction (docx/pdf/pptx/xlsx/…)
uv sync --group doocus --group ocr # + OCR for images / scanned pdfs
```
Groups: `meetus`, `doocus`, `ocr`, `pdf-render`, `deprecated`. **whisper/whisperx**
are external CLI tools (like ffmpeg) — install separately (often a GPU env):
`pip install whisperx` (diarization needs a HuggingFace token with pyannote access).
### UIs (Node)
```bash
cd ui/meetus-app && npm install
cd ui/doocus-app && npm install
```
## The two pipelines
### meetus — meetings
```bash
uv run process_meeting.py samples/meeting.mkv --embed-images --scene-detection --scene-threshold 10 --diarize
```
Runs WhisperX (speaker diarization) + FFmpeg scene-detection frames → an enhanced
transcript with frame references, in `output/<YYYYMMDD-NNN-stem>/`. `--out-format`
customizes the run-folder name (e.g. `{name}.meetus` for a docs-coherent sidecar).
Batch a tree with `make batch IN=<dir>`. `process_meeting.py --help` is the flag
source of truth; caching (`--no-cache`, `--skip-cache-frames/-whisper`) lets you
iterate on scene thresholds without re-running Whisper.
### doocus — documents
```bash
uv run process_tree.py "/path/to/drive" --output "doocus-data/<source>" --only docs
```
Replicates the whole tree into `index.json` (every file a node), extracting text
sidecars (`content.md` + `meta.json`) only for `docx/pdf/pptx/xlsx`; other files
are linked, not duplicated. `--only {all|docs|meetings}` scopes a collection.
Full manual: [`doocus/README.md`](doocus/README.md).
## Outputs & collections
Each app writes to a **managed root** (gitignored), one subfolder per source,
mirroring the source structure:
- `doocus-data/<source>/` — document collections (`index.json` + `.doocus/`)
- `meetus-data/<source>/` — meeting collections (`index.json` + `.meetus/`)
Collections whose `index.json.root` matches are the **same source**: the doocus UI
merges their docs + meetings into one tree, toggled as one source. A meeting's
`.meetus` must sit in the **same folder** as its collection's `index.json`.
## The UIs
Local Vue 3 + Vite apps over `ui/framework/` (shared components + design tokens):
- **`ui/meetus-app`** — review a meeting: video + transcript (edit/read, speaker
merge, select mode) + frame selector, time-synced.
- **`ui/doocus-app`** — browse the merged tree, **search** cached text (transcripts,
extracted docs, raw files), per-type viewers, and **package** selected files.
Meetings **embed the meetus review** (`@review`, composed — not duplicated).
```bash
cd ui/doocus-app && DOOCUS_DATA="$PWD/../../doocus-data,$PWD/../../meetus-data" npm run dev
cd ui/meetus-app && MEETUS_OUTPUT=/abs/path/to/output npm run dev
```
## Packaging (the point)
The doocus package builder zips selected **originals** + their `content.md` for a
target (Gemini web ≤10 files/≤100 MB, or NotebookLM). Originals are what the
permitted services consume; the extracted text is the local **search index** and is
never a replacement for the document.
## Project layout
See [`INDEX.md`](INDEX.md) for the full map. In brief:
```
process_meeting.py meetus CLI process_tree.py / process_doc.py doocus CLIs
meetus/ meetus core doocus/ doocus core
ctrl/ batch + ops scripts ui/{meetus-app,doocus-app,framework}
Makefile batch · docs · merge · graphs docs/graphs/ architecture diagram
def/ design notes samples/ output/ (gitignored)
```
Deprecated OCR/vision code lives unwired in `meetus/deprecated/` (the only user of
`ollama`, kept out of every default install). See [`INDEX.md`](INDEX.md).
## License
For personal use.
🗺️ Repo map for contributors: [`INDEX.md`](INDEX.md)

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