diff --git a/CHANGELOG b/CHANGELOG
index 43d8c40a..3721cdb3 100644
--- a/CHANGELOG
+++ b/CHANGELOG
@@ -1,5 +1,8 @@
 jc changelog
 
+20220118 v1.18.0
+- Add high-level parse API for built-in and plugin parsers
+
 20220106 v1.17.7
 - Add stat command streaming parser tested on linux and macOS
 
diff --git a/README.md b/README.md
index a224d4a5..63b30071 100644
--- a/README.md
+++ b/README.md
@@ -32,10 +32,10 @@ $ jc dig example.com | jq -r '.[].answer[].data'
 The `jc` parsers can also be used as python modules. In this case the output will be a python dictionary, or list of dictionaries, instead of JSON:
 ```python
 >>> import subprocess
->>> import jc.parsers.dig
->>> 
+>>> import jc
+>>>
 >>> cmd_output = subprocess.check_output(['dig', 'example.com'], text=True)
->>> data = jc.parsers.dig.parse(cmd_output)
+>>> data = jc.parse('dig', cmd_output)
 >>>
 >>> data
 [{'id': 64612, 'opcode': 'QUERY', 'status': 'NOERROR', 'flags': ['qr', 'rd', 'ra'], 'query_num': 1, 'answer_num':
@@ -290,9 +290,9 @@ Streaming parsers accept any iterable object and return a generator iterator obj
 
 To use the generator object in your code, simply loop through it or use the [next()](https://docs.python.org/3/library/functions.html#next) builtin function:
 ```python
-import jc.parsers.ls_s
+import jc
 
-result = jc.parsers.ls_s.parse(ls_command_output.splitlines())
+result = jc.parse('ls_s', ls_command_output.splitlines())
 for item in result:
     print(item["filename"])
 ```
diff --git a/docs/readme.md b/docs/readme.md
index 0f5aa6b5..437acbff 100644
--- a/docs/readme.md
+++ b/docs/readme.md
@@ -57,8 +57,22 @@ CLI Example:
 
 Module Example:
 
-    >>> import jc.parsers.dig
+    >>> import subprocess
+    >>> import jc
     >>>
+    >>> cmd_output = subprocess.check_output(['dig', 'example.com'], text=True)
+    >>> data = jc.parse('dig', cmd_output)
+    >>>
+    >>> data
+    [{'id': 64612, 'opcode': 'QUERY', 'status': 'NOERROR', 'flags': ['qr', 'rd', 'ra'], 'query_num': 1, 'answer_num':
+    1, 'authority_num': 0, 'additional_num': 1, 'opt_pseudosection': {'edns': {'version': 0, 'flags': [], 'udp':
+    4096}}, 'question': {'name': 'example.com.', 'class': 'IN', 'type': 'A'}, 'answer': [{'name': 'example.com.',
+    'class': 'IN', 'type': 'A', 'ttl': 29658, 'data': '93.184.216.34'}], 'query_time': 52, 'server':
+    '2600:1700:bab0:d40::1#53(2600:1700:bab0:d40::1)', 'when': 'Fri Apr 16 16:13:00 PDT 2021', 'rcvd': 56,
+    'when_epoch': 1618614780, 'when_epoch_utc': None}]
+
+Alternatively, you can bypass the high-level API and call the parser modules directly:
+
     >>> import subprocess
     >>> import jc.parsers.dig
     >>>
diff --git a/man/jc.1 b/man/jc.1
index 5589fc6a..6961c827 100644
--- a/man/jc.1
+++ b/man/jc.1
@@ -1,4 +1,4 @@
-.TH jc 1 2022-01-14 1.17.7 "JSON CLI output utility"
+.TH jc 1 2022-01-18 1.18.0 "JSON CLI output utility"
 .SH NAME
 jc \- JSONifies the output of many CLI tools and file-types
 .SH SYNOPSIS
diff --git a/templates/readme_template b/templates/readme_template
index 18c6ec32..b77e03c7 100644
--- a/templates/readme_template
+++ b/templates/readme_template
@@ -32,10 +32,10 @@ $ jc dig example.com | jq -r '.[].answer[].data'
 The `jc` parsers can also be used as python modules. In this case the output will be a python dictionary, or list of dictionaries, instead of JSON:
 ```python
 >>> import subprocess
->>> import jc.parsers.dig
->>> 
+>>> import jc
+>>>
 >>> cmd_output = subprocess.check_output(['dig', 'example.com'], text=True)
->>> data = jc.parsers.dig.parse(cmd_output)
+>>> data = jc.parse('dig', cmd_output)
 >>>
 >>> data
 [{'id': 64612, 'opcode': 'QUERY', 'status': 'NOERROR', 'flags': ['qr', 'rd', 'ra'], 'query_num': 1, 'answer_num':
@@ -206,9 +206,9 @@ Streaming parsers accept any iterable object and return a generator iterator obj
 
 To use the generator object in your code, simply loop through it or use the [next()](https://docs.python.org/3/library/functions.html#next) builtin function:
 ```python
-import jc.parsers.ls_s
+import jc
 
-result = jc.parsers.ls_s.parse(ls_command_output.splitlines())
+result = jc.parse('ls_s', ls_command_output.splitlines())
 for item in result:
     print(item["filename"])
 ```