diff --git a/desktop/docs/dependencies.md b/desktop/docs/dependencies.md
index 5c1b07744..9cced1f81 100644
--- a/desktop/docs/dependencies.md
+++ b/desktop/docs/dependencies.md
@@ -1,5 +1,9 @@
 # Dependencies
 
+* [Electron](#electron)
+* [Dev dependencies](#dev)
+* [Functionality](#functionality)
+
 ## Electron
 
 [Electron](https://www.electronjs.org) is a cross-platform (Linux, Windows,
@@ -73,7 +77,7 @@ Electron process. This allows us to directly use the output produced by
 
 ## Dev
 
-See [web/docs/dependencies#DX](../../web/docs/dependencies.md#dev) for the
+See [web/docs/dependencies#dev](../../web/docs/dependencies.md#dev) for the
 general development experience related dependencies like TypeScript etc, which
 are similar to that in the web code.
 
@@ -88,7 +92,7 @@ Some extra ones specific to the code here are:
 
 ## Functionality
 
-### Conversion
+### Format conversion
 
 The main tool we use is for arbitrary conversions is FFMPEG. To bundle a
 (platform specific) static binary of ffmpeg with our app, we use
@@ -104,20 +108,23 @@ resources (`build`) folder. This is used for thumbnail generation on Linux.
 On macOS, we use the `sips` CLI tool for conversion, but that is already
 available on the host machine, and is not bundled with our app.
 
+### AI/ML
+
+[onnxruntime-node](https://github.com/Microsoft/onnxruntime) is used as the
+AI/ML runtime. It powers both natural language searches (using CLIP) and face
+detection (using YOLO).
+
+[jpeg-js](https://github.com/jpeg-js/jpeg-js#readme) is used for decoding
+JPEG data into raw RGB bytes before passing it to ONNX.
+
+html-entities is used by the bundled clip-bpe-ts tokenizer for CLIP.
+
 ### Watch Folders
 
 [chokidar](https://github.com/paulmillr/chokidar) is used as a file system
 watcher for the watch folders functionality.
 
-### AI/ML
-
--   [onnxruntime-node](https://github.com/Microsoft/onnxruntime) is used for
-    natural language searches based on CLIP.
--   html-entities is used by the bundled clip-bpe-ts tokenizer.
--   [jpeg-js](https://github.com/jpeg-js/jpeg-js#readme) is used for decoding
-    JPEG data into raw RGB bytes before passing it to ONNX.
-
-## ZIP
+### ZIP
 
 [node-stream-zip](https://github.com/antelle/node-stream-zip) is used for
 reading of large ZIP files (e.g. during imports of Google Takeout ZIPs).