diff --git a/.github/workflows/cd.yml b/.github/workflows/cd.yml
index e2f2380..46280ab 100644
--- a/.github/workflows/cd.yml
+++ b/.github/workflows/cd.yml
@@ -43,7 +43,7 @@ jobs:
       env:
         TWINE_USERNAME: __token__
         TWINE_PASSWORD: ${{ secrets.TEST_PYPI_API_TOKEN }}
-      run: uv run twine upload --repository testpypi dist/*
+      run: uv run twine upload --repository testpypi --skip-existing --verbose dist/*
 
     - name: Publish to PyPI (on tags)
       if: startsWith(github.ref, 'refs/tags/v')
diff --git a/README.md b/README.md
index 977bcb6..af776a5 100644
--- a/README.md
+++ b/README.md
@@ -35,21 +35,19 @@ uv sync  # or pip install -e .
 ## Quick Start
 
 ```python
-from speech_prep import SoundFile
+from speech_prep import SoundFile, AudioFormat
 from pathlib import Path
 
 # Load an audio file
 audio = SoundFile(Path("recording.wav"))
 
 if audio:
-    print(f"Duration: {audio.duration:.2f} seconds")
-    print(f"Format: {audio.format}")
-    print(f"Silence periods detected: {len(audio.silence_periods)}")
+    print(audio)  # Shows duration, format, file size, and silence periods
 
     # Clean up the audio for speech-to-text
     cleaned = audio.strip(output_path=Path("recording_stripped.wav"))
     faster = cleaned.speed(output_path=Path("recording_stripped_fast.wav"), speed_factor=1.2)
-    final = faster.convert(output_path=Path("clean.mp3"))
+    final = faster.convert(output_path=Path("clean.mp3", target_format=AudioFormat.MP3))
 
     print(f"Processed file saved: {final.path}")
 ```
@@ -59,7 +57,7 @@ if audio:
 ### Basic Operations
 
 ```python
-from speech_prep import SoundFile
+from speech_prep import SoundFile, AudioFormat
 from pathlib import Path
 
 # Load audio file
@@ -78,17 +76,18 @@ cleaned = audio.strip(output_path=Path("interview_leading.wav"), trailing=False)
 faster = audio.speed(output_path=Path("interview_fast.wav"), speed_factor=1.5)
 
 # Convert format
-mp3_file = audio.convert(output_path=Path("output.mp3"))
+mp3_file = audio.convert(output_path=Path("output.mp3"), target_format=AudioFormat.MP3)
 ```
 
 ### Processing Pipeline
 
 ```python
-from speech_prep import SoundFile
+from speech_prep import AudioFormat, SoundFile
 from pathlib import Path
 
 def prepare_for_transcription(input_file: Path, output_file: Path):
     """Prepare audio file for speech-to-text processing."""
+
     # Load the original file
     audio = SoundFile(input_file)
     if not audio:
@@ -96,7 +95,7 @@ def prepare_for_transcription(input_file: Path, output_file: Path):
     # Processing pipeline
     stripped = audio.strip(output_path=input_file.with_stem(input_file.stem + "_stripped"))
     faster = stripped.speed(output_path=input_file.with_stem(input_file.stem + "_stripped_fast"), speed_factor=1.1)
-    processed = faster.convert(output_path=output_file)
+    processed = faster.convert(output_path=output_file, target_format=AudioFormat.MP3)
     if processed:
         print(f"Original duration: {audio.duration:.2f}s")
         print(f"Processed duration: {processed.duration:.2f}s")
@@ -150,8 +149,10 @@ audio = SoundFile(
 cleaned = audio.strip(output_path=Path("custom_output.wav"))
 
 # Custom conversion settings
+from speech_prep import AudioFormat
 mp3 = audio.convert(
     output_path=Path("output.mp3"),
+    target_format=AudioFormat.MP3,
     audio_bitrate="192k"  # Custom bitrate
 )
 ```
@@ -168,16 +169,33 @@ SoundFile(file_path, noise_threshold_db=-30, min_silence_duration=0.5)
 #### Methods
 - **`strip(output_path, leading=True, trailing=True)`**: Remove silence
 - **`speed(output_path, speed_factor)`**: Adjust playback speed
-- **`convert(output_path, audio_bitrate=None)`**: Convert format
+- **`convert(output_path, target_format, audio_bitrate=None)`**: Convert format
 
 #### Properties
 - **`path`**: Path to the audio file
 - **`duration`**: Duration in seconds
-- **`format`**: Audio format
+- **`format`**: Audio format (AudioFormat enum)
 - **`file_size`**: File size in bytes
 - **`silence_periods`**: List of detected silence periods
 - **`median_silence`**: Median silence duration
 
+### AudioFormat Enum
+
+The `AudioFormat` enum represents supported audio formats:
+
+```python
+from speech_prep import AudioFormat
+
+# Available formats
+AudioFormat.MP3   # MP3 format
+AudioFormat.WAV   # WAV format
+AudioFormat.FLAC  # FLAC format
+AudioFormat.AAC   # AAC format
+AudioFormat.OGG   # OGG format
+AudioFormat.M4A   # M4A format
+AudioFormat.UNKNOWN  # Unknown/unsupported format
+```
+
 ## Contributing
 
 1. Fork the repository
diff --git a/pyproject.toml b/pyproject.toml
index 2e39f60..ce64231 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -111,4 +111,5 @@ dev = [
     "pydub>=0.25.1",
     "pre-commit>=4.2.0",
     "hatch-vcs>=0.5.0",
+    "twine>=6.1.0",
 ]
diff --git a/src/speech_prep/__init__.py b/src/speech_prep/__init__.py
index f26c598..96b266e 100644
--- a/src/speech_prep/__init__.py
+++ b/src/speech_prep/__init__.py
@@ -13,6 +13,7 @@
     SilenceDetectionError,
     SpeechPrepError,
 )
+from .formats import AudioFormat
 
 # Import version from hatch-vcs
 try:
@@ -25,6 +26,7 @@
 
 __all__ = [
     "SoundFile",
+    "AudioFormat",
     "SpeechPrepError",
     "FFmpegError",
     "FileValidationError",
diff --git a/src/speech_prep/core.py b/src/speech_prep/core.py
index a49055f..6d721eb 100644
--- a/src/speech_prep/core.py
+++ b/src/speech_prep/core.py
@@ -6,6 +6,7 @@
 
 from .detection import calculate_median_silence, detect_silence
 from .exceptions import SpeechPrepError
+from .formats import AudioFormat
 from .processing import adjust_speed, convert_format, strip_silence
 from .utils import format_time, get_audio_properties
 
@@ -158,20 +159,24 @@ def strip(
             return None
 
     def convert(
-        self, output_path: Path, audio_bitrate: Optional[str] = None
+        self,
+        output_path: Path,
+        target_format: AudioFormat,
+        audio_bitrate: Optional[str] = None,
     ) -> Optional["SoundFile"]:
         """
         Convert the audio file to a different format.
 
         Args:
             output_path: Path to save the converted file
+            target_format: Target audio format
             audio_bitrate: Optional bitrate for the output file (e.g., '192k', '320k')
 
         Returns:
             A new SoundFile instance for the converted file, or None if operation failed
         """
         try:
-            convert_format(self.path, output_path, audio_bitrate)
+            convert_format(self.path, output_path, target_format, audio_bitrate)
             return SoundFile(
                 output_path, self.noise_threshold_db, self.min_silence_duration
             )
diff --git a/src/speech_prep/formats.py b/src/speech_prep/formats.py
new file mode 100644
index 0000000..301e863
--- /dev/null
+++ b/src/speech_prep/formats.py
@@ -0,0 +1,15 @@
+"""Enums for audio file formats."""
+
+from enum import Enum
+
+
+class AudioFormat(Enum):
+    """Enum representing supported audio formats."""
+
+    MP3 = "mp3"
+    WAV = "wav"
+    FLAC = "flac"
+    AAC = "aac"
+    OGG = "ogg"
+    M4A = "m4a"
+    UNKNOWN = "unknown"
diff --git a/src/speech_prep/processing.py b/src/speech_prep/processing.py
index c716109..c192241 100644
--- a/src/speech_prep/processing.py
+++ b/src/speech_prep/processing.py
@@ -5,6 +5,7 @@
 from typing import Optional
 
 from .exceptions import FFmpegError
+from .formats import AudioFormat
 
 
 def strip_silence(
@@ -67,7 +68,10 @@ def strip_silence(
 
 
 def convert_format(
-    input_path: Path, output_path: Path, audio_bitrate: Optional[str] = None
+    input_path: Path,
+    output_path: Path,
+    target_format: AudioFormat,
+    audio_bitrate: Optional[str] = None,
 ) -> None:
     """
     Convert the audio file to a different format.
@@ -75,6 +79,7 @@ def convert_format(
     Args:
         input_path: Path to the input audio file
         output_path: Path to save the converted file
+        target_format: Target audio format
         audio_bitrate: Optional bitrate for the output file (e.g., '192k', '320k')
 
     Raises:
@@ -90,9 +95,21 @@ def convert_format(
     # Add output file
     cmd.append(str(output_path))
 
-    input_format = input_path.suffix.lower().lstrip(".")
-    output_format = output_path.suffix.lower().lstrip(".")
-    print(f"Converting {input_path.name} from {input_format} to {output_format}")
+    # Determine the input format from the file extension
+    input_format = AudioFormat.UNKNOWN
+    try:
+        ext = input_path.suffix.lower().lstrip(".")
+        input_format = AudioFormat(ext)
+    except ValueError:
+        pass  # Keep as UNKNOWN if not found
+
+    # Use the provided target_format
+    output_format = target_format
+
+    print(
+        f"Converting {input_path.name} from "
+        f"{input_format.value} to {output_format.value}"
+    )
 
     _run_ffmpeg_command(cmd, "converting format")
 
@@ -136,10 +153,16 @@ def adjust_speed(input_path: Path, output_path: Path, speed_factor: float) -> No
     filter_str = ",".join(atempo_filters) if atempo_filters else "atempo=1.0"
 
     # Determine appropriate codec based on output format
-    output_format = output_path.suffix.lower()
-    if output_format == ".mp3":
+    output_format = AudioFormat.UNKNOWN
+    try:
+        ext = output_path.suffix.lower().lstrip(".")
+        output_format = AudioFormat(ext)
+    except ValueError:
+        pass  # Keep as UNKNOWN
+
+    if output_format == AudioFormat.MP3:
         codec = "libmp3lame"
-    elif output_format == ".wav":
+    elif output_format == AudioFormat.WAV:
         codec = "pcm_s16le"
     else:
         codec = "libmp3lame"  # Default to mp3 codec
diff --git a/src/speech_prep/utils.py b/src/speech_prep/utils.py
index 3cda0f0..f705cfc 100644
--- a/src/speech_prep/utils.py
+++ b/src/speech_prep/utils.py
@@ -5,6 +5,7 @@
 import subprocess
 
 from .exceptions import AudioPropertiesError, FileValidationError
+from .formats import AudioFormat
 
 
 def validate_file(file_path: Path) -> bool:
@@ -29,7 +30,7 @@ def validate_file(file_path: Path) -> bool:
     return True
 
 
-def get_audio_properties(file_path: Path) -> tuple[float, int, str]:
+def get_audio_properties(file_path: Path) -> tuple[float, int, AudioFormat]:
     """
     Extract audio properties (duration, file size, format) using ffprobe.
 
@@ -37,7 +38,8 @@ def get_audio_properties(file_path: Path) -> tuple[float, int, str]:
         file_path: Path to the audio file
 
     Returns:
-        Tuple of (duration, file_size, audio_format)
+        Tuple of (duration, file_size, audio_format) where audio_format
+        is an AudioFormat enum representing the detected audio format
 
     Raises:
         AudioPropertiesError: If properties cannot be extracted
@@ -71,10 +73,17 @@ def get_audio_properties(file_path: Path) -> tuple[float, int, str]:
         probe_data = json.loads(probe_result.stdout)["format"]
         duration = float(probe_data["duration"])
         file_size = int(probe_data["size"])
-        audio_format = probe_data["format_name"].split(",")[
+        format_str = probe_data["format_name"].split(",")[
             0
         ]  # Get the first format name
 
+        # Convert format string to enum
+        try:
+            audio_format = AudioFormat(format_str.lower())
+        except ValueError:
+            # If not a direct match, use UNKNOWN
+            audio_format = AudioFormat.UNKNOWN
+
         if duration <= 0 or file_size <= 0:
             raise AudioPropertiesError(
                 f"Invalid duration or file size for {file_path}. "
diff --git a/tests/integration/test_sound_file_integration.py b/tests/integration/test_sound_file_integration.py
index 857ec37..ef48e5c 100644
--- a/tests/integration/test_sound_file_integration.py
+++ b/tests/integration/test_sound_file_integration.py
@@ -41,7 +41,10 @@ def test_soundfile_initialization(self, check_audio_file_exists):
         # Verify basic properties
         assert sound_file.path == file_path
         assert sound_file.duration > 0
-        assert isinstance(sound_file.format, str)
+        assert sound_file.format is not None
+        from speech_prep.formats import AudioFormat
+
+        assert isinstance(sound_file.format, AudioFormat)
         assert sound_file.file_size > 0
 
         # Verify silence detection
@@ -102,10 +105,12 @@ def test_full_processing_pipeline(self, check_audio_file_exists, temp_dir):
         print(f"Sped file: {sped}")
 
         # 3. Convert format
-        converted = sped.convert(converted_path, audio_bitrate="192k")
+        from speech_prep.formats import AudioFormat
+
+        converted = sped.convert(converted_path, AudioFormat.MP3, audio_bitrate="192k")
         assert converted is not None, "Convert operation failed"
         assert converted.path.exists(), "Converted file doesn't exist"
-        assert converted.format.lower() == "mp3", "Format conversion failed"
+        assert converted.format == AudioFormat.MP3, "Format conversion failed"
         print(f"Converted file: {converted}")
 
         # Verify final file properties
diff --git a/tests/test_core.py b/tests/test_core.py
index f8bfffb..bcf785e 100644
--- a/tests/test_core.py
+++ b/tests/test_core.py
@@ -430,11 +430,16 @@ def side_effect_create_file(*args, **kwargs):
         # Create the original SoundFile
         sound_file = SoundFile(input_path)
 
+        # Import AudioFormat
+        from speech_prep.formats import AudioFormat
+
         # Call convert method
-        result = sound_file.convert(output_path, audio_bitrate="192k")
+        result = sound_file.convert(output_path, AudioFormat.MP3, audio_bitrate="192k")
 
         # Verify convert_format was called with correct arguments
-        mock_convert.assert_called_once_with(input_path, output_path, "192k")
+        mock_convert.assert_called_once_with(
+            input_path, output_path, AudioFormat.MP3, "192k"
+        )
 
         # Verify a new SoundFile instance was returned
         assert result is not None
@@ -473,8 +478,11 @@ def test_convert_error(
         # Create the SoundFile
         sound_file = SoundFile(input_path)
 
+        # Import AudioFormat
+        from speech_prep.formats import AudioFormat
+
         # Call convert method
-        result = sound_file.convert(output_path)
+        result = sound_file.convert(output_path, AudioFormat.MP3)
 
         # Verify error is logged and None is returned
         mock_logger.error.assert_called_once()
@@ -642,7 +650,10 @@ def mock_get_properties(file_path):
         sped = stripped.speed(sped_path, 1.5)
         assert sped is not None, "Speed operation failed"
 
-        converted = sped.convert(converted_path, audio_bitrate="192k")
+        # Import AudioFormat
+        from speech_prep.formats import AudioFormat
+
+        converted = sped.convert(converted_path, AudioFormat.MP3, audio_bitrate="192k")
         assert converted is not None, "Convert operation failed"
 
         # Verify the final file exists and has expected properties
diff --git a/uv.lock b/uv.lock
index e4b624d..3aac61c 100644
--- a/uv.lock
+++ b/uv.lock
@@ -2,6 +2,73 @@ version = 1
 revision = 1
 requires-python = ">=3.9"
 
+[[package]]
+name = "backports-tarfile"
+version = "1.2.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/86/72/cd9b395f25e290e633655a100af28cb253e4393396264a98bd5f5951d50f/backports_tarfile-1.2.0.tar.gz", hash = "sha256:d75e02c268746e1b8144c278978b6e98e85de6ad16f8e4b0844a154557eca991", size = 86406 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/b9/fa/123043af240e49752f1c4bd24da5053b6bd00cad78c2be53c0d1e8b975bc/backports.tarfile-1.2.0-py3-none-any.whl", hash = "sha256:77e284d754527b01fb1e6fa8a1afe577858ebe4e9dad8919e34c862cb399bc34", size = 30181 },
+]
+
+[[package]]
+name = "certifi"
+version = "2025.6.15"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/73/f7/f14b46d4bcd21092d7d3ccef689615220d8a08fb25e564b65d20738e672e/certifi-2025.6.15.tar.gz", hash = "sha256:d747aa5a8b9bbbb1bb8c22bb13e22bd1f18e9796defa16bab421f7f7a317323b", size = 158753 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/84/ae/320161bd181fc06471eed047ecce67b693fd7515b16d495d8932db763426/certifi-2025.6.15-py3-none-any.whl", hash = "sha256:2e0c7ce7cb5d8f8634ca55d2ba7e6ec2689a2fd6537d8dec1296a477a4910057", size = 157650 },
+]
+
+[[package]]
+name = "cffi"
+version = "1.17.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "pycparser" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/fc/97/c783634659c2920c3fc70419e3af40972dbaf758daa229a7d6ea6135c90d/cffi-1.17.1.tar.gz", hash = "sha256:1c39c6016c32bc48dd54561950ebd6836e1670f2ae46128f67cf49e789c52824", size = 516621 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/de/cc/4635c320081c78d6ffc2cab0a76025b691a91204f4aa317d568ff9280a2d/cffi-1.17.1-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:edae79245293e15384b51f88b00613ba9f7198016a5948b5dddf4917d4d26382", size = 426024 },
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