diff --git a/docs/tech_docs/python/PyAudio_SoundFile.md b/docs/tech_docs/python/PyAudio_SoundFile.md
new file mode 100644
index 0000000..31475f3
--- /dev/null
+++ b/docs/tech_docs/python/PyAudio_SoundFile.md
@@ -0,0 +1,129 @@
+Focusing on Python libraries specific to audio processing opens a vast array of possibilities for handling audio data, from simple playback and recording to complex audio analysis and signal processing tasks. Beyond `Librosa`, which is tailored more towards music and audio analysis, other libraries like `PyAudio` for audio I/O, and `SoundFile` for reading and writing audio files, play crucial roles in the audio processing ecosystem. Here’s an integrated guide covering these libraries, highlighting their capabilities and common use cases.
+
+### PyAudio - Audio I/O Interface
+
+PyAudio provides Python bindings for PortAudio, the cross-platform audio I/O library, enabling users to easily use audio input and output devices.
+
+#### Installation
+```sh
+pip install pyaudio
+```
+Note: Installing PyAudio might require additional dependencies on your system. Refer to the PyAudio documentation for platform-specific instructions.
+
+#### Basic Usage
+
+##### Playing Audio
+```python
+import pyaudio
+import wave
+
+filename = 'path/to/your/audio/file.wav'
+
+# Open the file
+wf = wave.open(filename, 'rb')
+
+# Create a PyAudio interface
+p = pyaudio.PyAudio()
+
+# Open a stream to play audio
+stream = p.open(format=p.get_format_from_width(wf.getsampwidth()),
+                channels=wf.getnchannels(),
+                rate=wf.getframerate(),
+                output=True)
+
+# Read data in chunks and play
+data = wf.readframes(1024)
+while data != b'':
+    stream.write(data)
+    data = wf.readframes(1024)
+
+# Close the stream and PyAudio interface
+stream.close()
+p.terminate()
+```
+
+##### Recording Audio
+```python
+CHUNK = 1024
+FORMAT = pyaudio.paInt16  # Depends on your needs
+CHANNELS = 2
+RATE = 44100  # Sampling rate
+RECORD_SECONDS = 5
+WAVE_OUTPUT_FILENAME = "output.wav"
+
+p = pyaudio.PyAudio()
+
+stream = p.open(format=FORMAT,
+                channels=CHANNELS,
+                rate=RATE,
+                input=True,
+                frames_per_buffer=CHUNK)
+
+print("Recording...")
+
+frames = []
+
+for i in range(0, int(RATE / CHUNK * RECORD_SECONDS)):
+    data = stream.read(CHUNK)
+    frames.append(data)
+
+print("Finished recording.")
+
+# Stop and close the stream
+stream.stop_stream()
+stream.close()
+# Terminate the PyAudio session
+p.terminate()
+
+# Save the recorded data as a WAV file
+wf = wave.open(WAVE_OUTPUT_FILENAME, 'wb')
+wf.setnchannels(CHANNELS)
+wf.setsampwidth(p.get_sample_size(FORMAT))
+wf.setframerate(RATE)
+wf.writeframes(b''.join(frames))
+wf.close()
+```
+
+### SoundFile - Reading and Writing Audio Files
+
+`SoundFile` is a library for reading from and writing to audio files, such as WAV and FLAC, using data formats supported by libsndfile.
+
+#### Installation
+```sh
+pip install SoundFile
+```
+
+#### Basic Usage
+
+##### Reading an Audio File
+```python
+import soundfile as sf
+
+data, samplerate = sf.read('path/to/your/audio/file.wav')
+# `data` is a NumPy array containing the audio samples
+# `samplerate` is the sampling rate of the audio file
+```
+
+##### Writing an Audio File
+```python
+sf.write('path/to/new/audio/file.wav', data, samplerate)
+```
+
+### Commonly Used Features Across Libraries
+
+- **Audio Playback and Recording**: PyAudio provides low-level interfaces for audio playback and recording, ideal for applications requiring direct control over audio I/O.
+- **Audio Analysis**: Libraries like Librosa are tailored for analyzing audio files, extracting features useful for music information retrieval, machine learning models, and more.
+- **File Conversion and Processing**: SoundFile supports a wide range of audio formats, enabling easy conversion between them and manipulation of audio data.
+
+### Potential Use Cases
+
+- **Voice Recognition Systems**: Implementing systems that can recognize spoken commands or transcribe speech into text.
+- **Music Genre Classification**: Developing algorithms to categorize music tracks into genres based on their audio features.
+- **Sound Effect Generation**: Creating applications that generate sound effects or modify existing audio clips.
+- **Audio Content Management**: Building tools for managing large audio datasets, including conversion, metadata tagging, and quality analysis.
+
+### Integration and Workflow
+
+A typical workflow might involve using PyAudio for capturing audio input from a microphone, processing or analyzing the audio with Librosa, and storing the processed audio using SoundFile. Each library addresses different aspects of audio handling in Python, providing a comprehensive toolkit for developers working on audio-related projects.
+
+By leveraging these libraries in combination, developers can cover the entire spectrum of audio processing tasks, from real-time capture and playback to sophisticated analysis and feature extraction, facilitating the development of complex audio applications and systems.
\ No newline at end of file