diff --git a/jc/lib.py b/jc/lib.py
index fd608421..bc6754bd 100644
--- a/jc/lib.py
+++ b/jc/lib.py
@@ -13,7 +13,7 @@ parsers = [
     'airport',
     'airport-s',
     'arp',
-    # 'asciitable',
+    'asciitable',
     'asciitable-m',
     'blkid',
     'cksum',
diff --git a/jc/parsers/asciitable.py b/jc/parsers/asciitable.py
new file mode 100644
index 00000000..f61de96c
--- /dev/null
+++ b/jc/parsers/asciitable.py
@@ -0,0 +1,211 @@
+"""jc - JSON Convert `asciitable` parser
+
+This parser converts ASCII and Unicode text tables with single-line rows.
+
+Column headers must be at least two spaces apart from each other and must
+be unique.
+
+For example:
+
+    ╒══════════╤═════════╤════════╕
+    │ foo      │ bar     │ baz    │
+    ╞══════════╪═════════╪════════╡
+    │ good day │         │ 12345  │
+    ├──────────┼─────────┼────────┤
+    │ hi there │ abc def │ 3.14   │
+    ╘══════════╧═════════╧════════╛
+
+    or
+
+    +-----------------------------+
+    | foo        bar       baz    |
+    +-----------------------------+
+    | good day             12345  |
+    | hi there   abc def   3.14   |
+    +-----------------------------+
+
+    or
+
+    | foo      | bar     | baz    |
+    |----------|---------|--------|
+    | good day |         | 12345  |
+    | hi there | abc def | 3.14   |
+
+    or
+
+    foo        bar       baz
+    ---------  --------  ------
+    good day             12345
+    hi there   abc def
+
+    etc.
+
+Usage (cli):
+
+    $ cat table.txt | jc --asciitable
+
+Usage (module):
+
+    import jc
+    result = jc.parse('asciitable', asciitable_string)
+
+Schema:
+
+    [
+      {
+        "column_name1":     string,    # empty string is null
+        "column_name2":     string     # empty string is null
+      }
+    ]
+
+Examples:
+
+    $ asciitable | jc --asciitable -p
+    []
+
+    $ asciitable | jc --asciitable -p -r
+    []
+"""
+import re
+from typing import List, Dict
+import jc.utils
+from jc.parsers.universal import sparse_table_parse
+
+
+class info():
+    """Provides parser metadata (version, author, etc.)"""
+    version = '1.0'
+    description = 'ASCII and Unicode table parser'
+    author = 'Kelly Brazil'
+    author_email = 'kellyjonbrazil@gmail.com'
+    compatible = ['linux', 'darwin', 'cygwin', 'win32', 'aix', 'freebsd']
+
+
+__version__ = info.version
+
+
+def _process(proc_data: List[Dict]) -> List[Dict]:
+    """
+    Final processing to conform to the schema.
+
+    Parameters:
+
+        proc_data:   (List of Dictionaries) raw structured data to process
+
+    Returns:
+
+        List of Dictionaries. Structured to conform to the schema.
+    """
+    return proc_data
+
+
+def _remove_ansi(string: str) -> str:
+    ansi_escape = re.compile(r'(\x9B|\x1B\[)[0-?]*[ -\/]*[@-~]')
+    return ansi_escape.sub('', string)
+
+
+def _lstrip(string: str) -> str:
+    """find the leftmost non-whitespace character and lstrip to that index"""
+    lstrip_list = [x for x in string.splitlines() if not len(x.strip()) == 0]
+    start_points = (len(x) - len(x.lstrip()) for x in lstrip_list)
+    min_point = min(start_points)
+    new_lstrip_list = (x[min_point:] for x in lstrip_list)
+    return '\n'.join(new_lstrip_list)
+
+
+def _rstrip(string: str) -> str:
+    """find the rightmost non-whitespace character and rstrip and pad to that index"""
+    rstrip_list = [x for x in string.splitlines() if not len(x.strip()) == 0]
+    end_points = (len(x.rstrip()) for x in rstrip_list)
+    max_point = max(end_points)
+    new_rstrip_list = ((x + ' ' * max_point)[:max_point] for x in rstrip_list)
+    return '\n'.join(new_rstrip_list)
+
+
+def _strip(string: str) -> str:
+    string = _lstrip(string)
+    string = _rstrip(string)
+    return string
+
+
+def _is_separator(line: str) -> bool:
+    """Returns true if a table separator line is found"""
+    strip_line = line.strip()
+    if any((
+        strip_line.startswith('╒═') and strip_line.endswith('═╕'),
+        strip_line.startswith('╞═') and strip_line.endswith('═╡'),
+        strip_line.startswith('╘═') and strip_line.endswith('═╛'),
+        strip_line.startswith('┌─') and strip_line.endswith('─┐'),
+        strip_line.startswith('├─') and strip_line.endswith('─┤'),
+        strip_line.startswith('└─') and strip_line.endswith('─┘'),
+        strip_line.startswith('+=') and strip_line.endswith('=+'),
+        strip_line.startswith('+-') and strip_line.endswith('-+'),
+        strip_line.startswith('--') and strip_line.endswith('--'),
+        strip_line.startswith('==') and strip_line.endswith('=='),
+        strip_line.startswith('|-') and strip_line.endswith('-|')
+    )):
+        return True
+    return False
+
+
+def _snake_case(line: str) -> str:
+    """replace spaces between words with an underscore and set to lowercase"""
+    return re.sub(r'\b \b', '_', line).lower()
+
+
+def _normalize_rows(table: str) -> List[str]:
+    """
+    Return a List row strings. Header is snake-cased
+    """
+    result = []
+    for line in table.splitlines():
+        # skip blank lines
+        if not line.strip():
+            continue
+
+        # skip separators
+        if _is_separator(line):
+            continue
+
+        # data row - remove column separators
+        line = line.replace('│', ' ').replace('|', ' ')
+        result.append(line)
+
+    result[0] = _snake_case(result[0])
+    return result
+
+
+def _parse_pretty(table: List[str]) -> List[Dict[str, str]]:
+    return sparse_table_parse(table)
+
+
+def parse(
+    data: str,
+    raw: bool = False,
+    quiet: bool = False
+) -> List[Dict]:
+    """
+    Main text parsing function
+
+    Parameters:
+
+        data:        (string)  text data to parse
+        raw:         (boolean) unprocessed output if True
+        quiet:       (boolean) suppress warning messages if True
+
+    Returns:
+
+        List of Dictionaries. Raw or processed structured data.
+    """
+    jc.utils.compatibility(__name__, info.compatible, quiet)
+    jc.utils.input_type_check(data)
+
+    raw_output: List = []
+
+    if jc.utils.has_data(data):
+        data = _remove_ansi(data)
+        data = _strip(data)
+        data_list = _normalize_rows(data)
+        raw_output = _parse_pretty(data_list)
+
+    return raw_output if raw else _process(raw_output)