diff --git a/docs/src/transformations.md b/docs/src/transformations.md
index c84454534..34a280509 100644
--- a/docs/src/transformations.md
+++ b/docs/src/transformations.md
@@ -179,7 +179,7 @@ fig #hide
 ### Column reduction
 
 ```@docs
-Tenet.ColumnReduction
+Tenet.Truncate
 ```
 
 ```@example plot
@@ -194,7 +194,7 @@ B = Tensor(rand(3, 3), (:j, :l)) #hide
 C = Tensor(rand(3, 3), (:l, :m)) #hide
 
 tn = TensorNetwork([A, B, C]) #hide
-reduced = transform(tn, Tenet.ColumnReduction) #hide
+reduced = transform(tn, Tenet.Truncate) #hide
 
 smooth_annotation!( #hide
     fig[1, 1]; #hide
diff --git a/src/Transformations.jl b/src/Transformations.jl
index 45e46d528..7056906c3 100644
--- a/src/Transformations.jl
+++ b/src/Transformations.jl
@@ -146,6 +146,38 @@ function transform!(tn::TensorNetwork, config::ContractSimplification)
     return tn
 end
 
+"""
+    Truncate <: Transformation
+
+Truncate the dimension of a `Tensor` in a [`TensorNetwork`](@ref) when it contains columns with all elements smaller than `atol`.
+
+# Keyword Arguments
+
+  - `atol` Absolute tolerance. Defaults to `1e-12`.
+  - `skip` List of indices to skip. Defaults to `[]`.
+"""
+Base.@kwdef struct Truncate <: Transformation
+    atol::Float64 = 1e-12
+    skip::Vector{Symbol} = Symbol[]
+end
+
+function transform!(tn::TensorNetwork, config::Truncate)
+    skip_inds = isempty(config.skip) ? inds(tn; set=:open) : config.skip
+
+    for tensor in tensors(tn)
+        for (dim, index) in enumerate(inds(tensor))
+            index ∈ skip_inds && continue
+
+            zeroslices = iszero.(eachslice(tensor; dims=dim))
+            any(zeroslices) || continue
+
+            slice!(tn, index, count(!, zeroslices) == 1 ? findfirst(!, zeroslices) : findall(!, zeroslices))
+        end
+    end
+
+    return tn
+end
+
 """
     DiagonalReduction <: Transformation
 
@@ -233,38 +265,6 @@ function transform!(tn::TensorNetwork, config::AntiDiagonalGauging)
     return tn
 end
 
-"""
-    ColumnReduction <: Transformation
-
-Truncate the dimension of a `Tensor` in a [`TensorNetwork`](@ref) when it contains columns with all elements smaller than `atol`.
-
-# Keyword Arguments
-
-  - `atol` Absolute tolerance. Defaults to `1e-12`.
-  - `skip` List of indices to skip. Defaults to `[]`.
-"""
-Base.@kwdef struct ColumnReduction <: Transformation
-    atol::Float64 = 1e-12
-    skip::Vector{Symbol} = Symbol[]
-end
-
-function transform!(tn::TensorNetwork, config::ColumnReduction)
-    skip_inds = isempty(config.skip) ? inds(tn; set=:open) : config.skip
-
-    for tensor in tensors(tn)
-        for (dim, index) in enumerate(inds(tensor))
-            index ∈ skip_inds && continue
-
-            zeroslices = iszero.(eachslice(tensor; dims=dim))
-            any(zeroslices) || continue
-
-            slice!(tn, index, count(!, zeroslices) == 1 ? findfirst(!, zeroslices) : findall(!, zeroslices))
-        end
-    end
-
-    return tn
-end
-
 """
     SplitSimplification <: Transformation
 
diff --git a/test/Transformations_test.jl b/test/Transformations_test.jl
index 5dfb90c37..dc5fe0d50 100644
--- a/test/Transformations_test.jl
+++ b/test/Transformations_test.jl
@@ -187,8 +187,8 @@
         @test contract(gauged) ≈ contract(tn)
     end
 
-    @testset "ColumnReduction" begin
-        using Tenet: ColumnReduction
+    @testset "Truncate" begin
+        using Tenet: Truncate
 
         @testset "range" begin
             data = rand(3, 3, 3)
@@ -199,7 +199,7 @@
             C = Tensor(rand(3, 3), (:j, :m))
 
             tn = TensorNetwork([A, B, C])
-            reduced = transform(tn, ColumnReduction)
+            reduced = transform(tn, Truncate)
 
             @test :j ∉ inds(reduced)
             @test contract(reduced) ≈ contract(tn)
@@ -214,7 +214,7 @@
             C = Tensor(rand(3, 3), (:j, :m))
 
             tn = TensorNetwork([A, B, C])
-            reduced = transform(tn, ColumnReduction)
+            reduced = transform(tn, Truncate)
 
             @test size(reduced, :j) == 2
             @test contract(reduced) ≈ contract(tn)