diff --git a/news/changelog-1.4.md b/news/changelog-1.4.md
index b0b5627811..494b67e2f0 100644
--- a/news/changelog-1.4.md
+++ b/news/changelog-1.4.md
@@ -210,6 +210,7 @@
 - ([#6487](https://github.com/quarto-dev/quarto-cli/discussions/6487)): Fix `serviceworkers` check in `htmlDependency` to look at the correct key.
 - ([#6178](https://github.com/quarto-dev/quarto-cli/pull/6178)): When `QUARTO_LOG_LEVEL=DEBUG`, information about search for a R binary will be shown.
 - ([#5755](https://github.com/quarto-dev/quarto-cli/pull/5755)): Allow document metadata to control conditional content.
+- ([#6568](https://github.com/quarto-dev/quarto-cli/issues/6568)): Trim file extension in data URI that might have been inadvertently added by Pandoc.
 - ([#6620](https://github.com/quarto-dev/quarto-cli/pull/6620)): Rewrite Crossreferenceable figure support. See the [prerelease documentation](https://quarto.org/docs/prerelease/1.4/) for more information.
 - ([#6697](https://github.com/quarto-dev/quarto-cli/pull/6697)): Fix issue with outputing to stdout (`quarto render <file> -o -`) on Windows.
 - ([#6705](https://github.com/quarto-dev/quarto-cli/pull/6705)): Fix issue with gfm output being removed when rendered with other formats.
diff --git a/src/resources/filters/crossref/crossref.lua b/src/resources/filters/crossref/crossref.lua
index 2037fdb422..4399bab9cc 100644
--- a/src/resources/filters/crossref/crossref.lua
+++ b/src/resources/filters/crossref/crossref.lua
@@ -59,6 +59,9 @@ import("../normalize/flags.lua")
 import("../normalize/normalize.lua")
 import("../normalize/parsehtml.lua")
 import("../normalize/extractquartodom.lua")
+import("../normalize/astpipeline.lua")
+import("../normalize/capturereaderstate.lua")
+import("../normalize/fixupdatauri.lua")
 
 import("../crossref/custom.lua")
 import("../crossref/index.lua")
diff --git a/src/resources/filters/main.lua b/src/resources/filters/main.lua
index 6281da882c..88b78af3dc 100644
--- a/src/resources/filters/main.lua
+++ b/src/resources/filters/main.lua
@@ -90,6 +90,7 @@ import("./normalize/parsehtml.lua")
 import("./normalize/extractquartodom.lua")
 import("./normalize/astpipeline.lua")
 import("./normalize/capturereaderstate.lua")
+import("./normalize/fixupdatauri.lua")
 
 import("./layout/meta.lua")
 import("./layout/width.lua")
diff --git a/src/resources/filters/normalize/astpipeline.lua b/src/resources/filters/normalize/astpipeline.lua
index d9bf687fed..6249bde03c 100644
--- a/src/resources/filters/normalize/astpipeline.lua
+++ b/src/resources/filters/normalize/astpipeline.lua
@@ -9,6 +9,7 @@ function quarto_ast_pipeline()
         parse_html_tables(),
         parse_extended_nodes(),
         code_filename(),
+        normalize_fixup_data_uri_image_extension(),
       })
     },
     { 
diff --git a/src/resources/filters/normalize/fixupdatauri.lua b/src/resources/filters/normalize/fixupdatauri.lua
new file mode 100644
index 0000000000..7fb5d628ee
--- /dev/null
+++ b/src/resources/filters/normalize/fixupdatauri.lua
@@ -0,0 +1,18 @@
+-- fixupdatauri.lua
+-- Copyright (C) 2023 Posit Software, PBC
+
+-- https://github.com/quarto-dev/quarto-cli/issues/6568
+function normalize_fixup_data_uri_image_extension() 
+  return {
+    Image = function(img)
+      local src = img.src
+      if src:sub(1, 5) == "data:" then
+        local l = PANDOC_READER_OPTIONS.default_image_extension:len()
+        if src:sub(-l-1) == ("." .. PANDOC_READER_OPTIONS.default_image_extension) then
+          img.src = src:sub(1, -l - 2)
+          return img
+        end
+      end
+    end
+  }
+end
diff --git a/tests/docs/smoke-all/2023/10/02/6568.qmd b/tests/docs/smoke-all/2023/10/02/6568.qmd
new file mode 100644
index 0000000000..a43ab59598
--- /dev/null
+++ b/tests/docs/smoke-all/2023/10/02/6568.qmd
@@ -0,0 +1,16 @@
+---
+title: issue-6568
+keep-md: true
+_quarto:
+  tests:
+    html:
+      ensureFileRegexMatches:
+        - ["AAAAAElFTkSuQmCC\\.png"]
+        - []
+---
+
+Output of `image(volcano)` in Base64:
+
+quartz_off_screen
+2
+![](data:image/png;base64,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)