Convert CommonMark to Pandoc Native
Turn CommonMark, the strictly-specified standard dialect of Markdown, into Pandoc Native, pandoc's native Haskell representation of a document. FileChanger runs the document conversion in one call, no local tooling to install.
In the browser
Upload a file and download the result, no pipeline required. Open the converter.
One API call
POST the file with from=commonmark and to=native, get the converted bytes back. Jump to the code.
From an agent
FileChanger ships an MCP server, so agents can run this conversion themselves. See the docs for setup.
Convert CommonMark to Pandoc Native in code
The same call from any language: POST the file to /api/convert, the response body is the converted file.
curl -X POST https://filechanger.io/api/convert \
-H "X-Api-Key: fc_your_api_key_here" \
-F "file=@input.md" \
-F "from=commonmark" \
-F "to=native" \
-o output.nativeimport requests
with open("input.md", "rb") as f:
response = requests.post(
"https://filechanger.io/api/convert",
headers={"X-Api-Key": "fc_your_api_key_here"},
files={"file": f},
data={"from": "commonmark", "to": "native"},
)
response.raise_for_status()
with open("output.native", "wb") as out:
out.write(response.content)const formData = new FormData();
formData.append("file", fileInput.files[0]);
formData.append("from", "commonmark");
formData.append("to", "native");
const response = await fetch("https://filechanger.io/api/convert", {
method: "POST",
headers: { "X-Api-Key": "fc_your_api_key_here" },
body: formData,
});
const output = await response.blob();import java.net.http.HttpRequest.BodyPublishers;
import java.net.http.HttpResponse.BodyHandlers;
import java.nio.file.Path;
String boundary = "----FormBoundary" + System.currentTimeMillis();
byte[] fileBytes = java.nio.file.Files.readAllBytes(Path.of("input.md"));
String body = "--" + boundary + "\r\n"
+ "Content-Disposition: form-data; name=\"file\"; filename=\"input.md\"\r\n"
+ "Content-Type: application/octet-stream\r\n\r\n"
+ new String(fileBytes) + "\r\n"
+ "--" + boundary + "\r\nContent-Disposition: form-data; name=\"from\"\r\n\r\ncommonmark\r\n"
+ "--" + boundary + "\r\nContent-Disposition: form-data; name=\"to\"\r\n\r\nnative\r\n"
+ "--" + boundary + "--";
HttpClient client = HttpClient.newHttpClient();
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create("https://filechanger.io/api/convert"))
.header("X-Api-Key", "fc_your_api_key_here")
.header("Content-Type", "multipart/form-data; boundary=" + boundary)
.POST(BodyPublishers.ofString(body))
.build();
HttpResponse<byte[]> response = client.send(
request, BodyHandlers.ofByteArray());
java.nio.file.Files.write(Path.of("output.native"), response.body());import Network.HTTP.Client
import Network.HTTP.Client.MultipartFormData
import qualified Data.ByteString.Lazy as BL
main :: IO ()
main = do
manager <- newManager defaultManagerSettings
initialReq <- parseRequest "POST https://filechanger.io/api/convert"
let req = initialReq
{ requestHeaders = [("X-Api-Key", "fc_your_api_key_here")] }
request <- formDataBody
[ partFileSource "file" "input.md"
, partBS "from" "commonmark"
, partBS "to" "native"
] req
response <- httpLbs request manager
BL.writeFile "output.native" (responseBody response)About CommonMark
CommonMark is the rigorously specified standard dialect of Markdown, created to end the ambiguity between competing implementations. Platforms and parsers that need predictable, portable Markdown rendering build on the CommonMark spec.
Frequently asked questions
How do I convert CommonMark to Pandoc Native?
Upload your file in the browser converter and pick Pandoc Native as the target, or POST it to /api/convert with from=commonmark and to=native. The response body is the converted file.
Is converting CommonMark to Pandoc Native free?
Yes. The free tier includes 2 GB of conversions per month, metered on input size. See pricing for the paid tiers.
Is there an API for CommonMark to Pandoc Native conversion?
Yes, this whole conversion is one POST to /api/convert (the code examples above show it in five languages), plus an MCP server so AI agents can run it directly.