diff --git a/crates/re_types/definitions/rerun/archetypes/image.fbs b/crates/re_types/definitions/rerun/archetypes/image.fbs
index d7f4bccf7b6b0..eb91ab3ed36f7 100644
--- a/crates/re_types/definitions/rerun/archetypes/image.fbs
+++ b/crates/re_types/definitions/rerun/archetypes/image.fbs
@@ -16,10 +16,16 @@ namespace rerun.archetypes;
 /// Leading and trailing unit-dimensions are ignored, so that
 /// `1x640x480x3x1` is treated as a `640x480x3` RGB image.
 ///
+/// Rerun also supports compressed image encoded as JPEG, N12, and YUY2.
+/// Using these formats can save a lot of bandwidth and memory.
+/// \python To compress an image, use [`rerun.Image.compress`][].
+/// \python To pass in an already encoded image, use  [`rerun.ImageEncoded`][].
+/// \rust See [`rerun::components::TensorData`] for more.
+/// \cpp See [`rerun::datatypes::TensorBuffer`] for more.
+///
 /// \cpp Since the underlying `rerun::datatypes::TensorData` uses `rerun::Collection` internally,
 /// \cpp data can be passed in without a copy from raw pointers or by reference from `std::vector`/`std::array`/c-arrays.
 /// \cpp If needed, this "borrow-behavior" can be extended by defining your own `rerun::CollectionAdapter`.
-/// \python For an easy way to pass in image formats or encoded images, see [`rerun.ImageEncoded`][].
 ///
 /// \example image_simple image="https://static.rerun.io/image_simple/06ba7f8582acc1ffb42a7fd0006fad7816f3e4e4/1200w.png"
 table Image (
diff --git a/crates/re_types/src/archetypes/image.rs b/crates/re_types/src/archetypes/image.rs
index 524ce24a934f5..05ab666e19e22 100644
--- a/crates/re_types/src/archetypes/image.rs
+++ b/crates/re_types/src/archetypes/image.rs
@@ -31,6 +31,11 @@ use ::re_types_core::{DeserializationError, DeserializationResult};
 /// Leading and trailing unit-dimensions are ignored, so that
 /// `1x640x480x3x1` is treated as a `640x480x3` RGB image.
 ///
+/// Rerun also supports compressed image encoded as JPEG, N12, and YUY2.
+/// Using these formats can save a lot of bandwidth and memory.
+///
+/// See [`rerun::components::TensorData`] for more.
+///
 /// ## Example
 ///
 /// ### `image_simple`:
diff --git a/docs/content/reference/types/archetypes/image.md b/docs/content/reference/types/archetypes/image.md
index e67efab56d486..04aac2a6cdc09 100644
--- a/docs/content/reference/types/archetypes/image.md
+++ b/docs/content/reference/types/archetypes/image.md
@@ -12,6 +12,9 @@ The shape of the `TensorData` must be mappable to:
 Leading and trailing unit-dimensions are ignored, so that
 `1x640x480x3x1` is treated as a `640x480x3` RGB image.
 
+Rerun also supports compressed image encoded as JPEG, N12, and YUY2.
+Using these formats can save a lot of bandwidth and memory.
+
 ## Components
 
 **Required**: [`TensorData`](../components/tensor_data.md)
diff --git a/rerun_cpp/src/rerun/archetypes/image.hpp b/rerun_cpp/src/rerun/archetypes/image.hpp
index 1b98de979f72e..ff38e84bfeb87 100644
--- a/rerun_cpp/src/rerun/archetypes/image.hpp
+++ b/rerun_cpp/src/rerun/archetypes/image.hpp
@@ -27,6 +27,10 @@ namespace rerun::archetypes {
     /// Leading and trailing unit-dimensions are ignored, so that
     /// `1x640x480x3x1` is treated as a `640x480x3` RGB image.
     ///
+    /// Rerun also supports compressed image encoded as JPEG, N12, and YUY2.
+    /// Using these formats can save a lot of bandwidth and memory.
+    ///
+    /// See [`rerun::datatypes::TensorBuffer`] for more.
     /// Since the underlying `rerun::datatypes::TensorData` uses `rerun::Collection` internally,
     /// data can be passed in without a copy from raw pointers or by reference from `std::vector`/`std::array`/c-arrays.
     /// If needed, this "borrow-behavior" can be extended by defining your own `rerun::CollectionAdapter`.
diff --git a/rerun_py/rerun_sdk/rerun/archetypes/image.py b/rerun_py/rerun_sdk/rerun/archetypes/image.py
index f92faa9add66c..98515218fedb9 100644
--- a/rerun_py/rerun_sdk/rerun/archetypes/image.py
+++ b/rerun_py/rerun_sdk/rerun/archetypes/image.py
@@ -30,7 +30,11 @@ class Image(ImageExt, Archetype):
     Leading and trailing unit-dimensions are ignored, so that
     `1x640x480x3x1` is treated as a `640x480x3` RGB image.
 
-    For an easy way to pass in image formats or encoded images, see [`rerun.ImageEncoded`][].
+    Rerun also supports compressed image encoded as JPEG, N12, and YUY2.
+    Using these formats can save a lot of bandwidth and memory.
+
+    To compress an image, use [`rerun.Image.compress`][].
+    To pass in an already encoded image, use  [`rerun.ImageEncoded`][].
 
     Example
     -------