diff --git a/README.md b/README.md
index 2fc4490..9c53b41 100644
--- a/README.md
+++ b/README.md
@@ -50,13 +50,13 @@ Start by creating a Dejavu object.
 >>> djv = Dejavu(config)
 ```
 
-Next, give the `fingerprint()` command three arguments:
+Next, give the `fingerprint_directory` method three arguments:
 * input directory to look for audio files
 * audio extensions to look for in the input directory
 * number of processes (optional)
 
 ```python
->>> djv.fingerprint("va_us_top_40/mp3", [".mp3"], 3)
+>>> djv.fingerprint_directory("va_us_top_40/mp3", [".mp3"], 3)
 ```
 
 For a large amount of files, this will take a while. However, Dejavu is robust enough you can kill and restart without affecting progress: Dejavu remembers which songs it fingerprinted and converted and which it didn't, and so won't repeat itself. 
@@ -67,7 +67,7 @@ You'll have a lot of fingerprints once it completes a large folder of mp3s:
 5442376
 ```
 
-Also, any subsequent calls to `fingerprint()` will fingerprint and add those songs to the database as well. It's meant to simulate a system where as new songs are released, they are fingerprinted and added to the database seemlessly without stopping the system. 
+Also, any subsequent calls to `fingerprint_file` or `fingerprint_directory` will fingerprint and add those songs to the database as well. It's meant to simulate a system where as new songs are released, they are fingerprinted and added to the database seemlessly without stopping the system. 
 
 ## Recognizing
 
@@ -85,7 +85,7 @@ There are two ways to recognize audio using Dejavu. You can use Dejavu interacti
 }
 ```
 
-Or by reading .wav files via scripting functions:
+Or by reading files via scripting functions:
 
 ```python
 >>> from dejavu.recognize import FileRecognizer