diff --git a/src/BroadcastMapConversion.jl b/src/BroadcastMapConversion.jl
new file mode 100644
index 0000000..6edf0ae
--- /dev/null
+++ b/src/BroadcastMapConversion.jl
@@ -0,0 +1,48 @@
+module BroadcastMapConversion
+# Convert broadcast call to map call by capturing array arguments
+# with `map_args` and creating a map function with `map_function`.
+# Logic from https://github.com/Jutho/Strided.jl/blob/v2.0.4/src/broadcast.jl.
+
+using Base.Broadcast: Broadcasted
+
+const WrappedScalarArgs = Union{AbstractArray{<:Any,0},Ref{<:Any}}
+
+function map_args(bc::Broadcasted, rest...)
+  return (map_args(bc.args...)..., map_args(rest...)...)
+end
+map_args(a::AbstractArray, rest...) = (a, map_args(rest...)...)
+map_args(a, rest...) = map_args(rest...)
+map_args() = ()
+
+struct MapFunction{F,Args<:Tuple}
+  f::F
+  args::Args
+end
+struct Arg end
+
+# construct MapFunction
+function map_function(bc::Broadcasted)
+  args = map_function_tuple(bc.args)
+  return MapFunction(bc.f, args)
+end
+map_function_tuple(t::Tuple{}) = t
+map_function_tuple(t::Tuple) = (map_function(t[1]), map_function_tuple(Base.tail(t))...)
+map_function(a::WrappedScalarArgs) = a[]
+map_function(a::AbstractArray) = Arg()
+map_function(a) = a
+
+# Evaluate MapFunction
+(f::MapFunction)(args...) = apply(f, args)[1]
+function apply(f::MapFunction, args)
+  args, newargs = apply_tuple(f.args, args)
+  return f.f(args...), newargs
+end
+apply(a::Arg, args::Tuple) = args[1], Base.tail(args)
+apply(a, args) = a, args
+apply_tuple(t::Tuple{}, args) = t, args
+function apply_tuple(t::Tuple, args)
+  t1, newargs1 = apply(t[1], args)
+  ttail, newargs = apply_tuple(Base.tail(t), newargs1)
+  return (t1, ttail...), newargs
+end
+end
diff --git a/test/runtests.jl b/test/runtests.jl
new file mode 100644
index 0000000..92e5d6a
--- /dev/null
+++ b/test/runtests.jl
@@ -0,0 +1,14 @@
+@eval module $(gensym())
+using Test: @test, @testset
+using NDTensors.BroadcastMapConversion: map_function, map_args
+@testset "BroadcastMapConversion" begin
+  using Base.Broadcast: Broadcasted
+  c = 2.2
+  a = randn(2, 3)
+  b = randn(2, 3)
+  bc = Broadcasted(*, (c, a))
+  @test copy(bc) ≈ c * a ≈ map(map_function(bc), map_args(bc)...)
+  bc = Broadcasted(+, (a, b))
+  @test copy(bc) ≈ a + b ≈ map(map_function(bc), map_args(bc)...)
+end
+end