diff --git a/README.md b/README.md
index 9536b99..fa0a2ea 100644
--- a/README.md
+++ b/README.md
@@ -6,7 +6,7 @@ A Lambda layer containing a static version of FFmpeg/FFprobe utilities from the
 
 Absolutely the easiest way of using this is to pull it directly from the AWS Serverless Application repository into a CloudFormation/SAM application, or deploy directly from the Serverless Application Repository into your account, and then link as a layer. 
 
-The `ffmpeg` and `ffprobe` binaries will be in `/opt/bin/` after linking the layer to a Lambda function.
+The `ffmpeg` and `ffprobe` binaries will be in `/opt/ffmpeg/` after linking the layer to a Lambda function.
 
 For more information, check out the [ffmpeg-lambda-layer](https://serverlessrepo.aws.amazon.com/applications/arn:aws:serverlessrepo:us-east-1:145266761615:applications~ffmpeg-lambda-layer) application in the Serverless App Repository.
 
diff --git a/example/src/index.js b/example/src/index.js
index b4e1ec3..cf40f68 100644
--- a/example/src/index.js
+++ b/example/src/index.js
@@ -22,7 +22,7 @@ exports.handler = function (eventObject, context) {
 	console.log('converting', inputBucket, key, 'using', inputFile);
 	return s3Util.downloadFileFromS3(inputBucket, key, inputFile)
 		.then(() => childProcessPromise.spawn(
-			'/opt/bin/ffmpeg',
+			'/opt/ffmpeg/ffmpeg',
 			['-loglevel', 'error', '-y', '-i', inputFile, '-vf', `thumbnail,scale=${THUMB_WIDTH}:-1`, '-frames:v', '1', outputFile],
 			{env: process.env, cwd: workdir}
 		))