diff --git a/examples/audio_transcription.rs b/examples/audio_transcription.rs
new file mode 100644
index 0000000..bf6b3d8
--- /dev/null
+++ b/examples/audio_transcription.rs
@@ -0,0 +1,86 @@
+// This example is not going to build in this folder.
+// You need to copy this code into your project and add the whisper_rs dependency in your cargo.toml
+
+use std::fs::File;
+use std::io::Write;
+use whisper_rs::{FullParams, SamplingStrategy, WhisperContext};
+
+/// Loads a context and model, processes an audio file, and prints the resulting transcript to stdout.
+fn main() {
+    // Load a context and model.
+    let mut ctx = WhisperContext::new("example/path/to/model/whisper.cpp/models/ggml-base.en.bin")
+        .expect("failed to load model");
+
+    // Create a params object for running the model.
+    // Currently, only the Greedy sampling strategy is implemented, with BeamSearch as a WIP.
+    // The number of past samples to consider defaults to 0.
+    let mut params = FullParams::new(SamplingStrategy::Greedy { n_past: 0 });
+
+    // Edit params as needed.
+    // Set the number of threads to use to 1.
+    params.set_n_threads(1);
+    // Enable translation.
+    params.set_translate(true);
+    // Set the language to translate to to English.
+    params.set_language("en");
+    // Disable anything that prints to stdout.
+    params.set_print_special(false);
+    params.set_print_progress(false);
+    params.set_print_realtime(false);
+    params.set_print_timestamps(false);
+
+    // Open the audio file.
+    let mut reader = hound::WavReader::open("audio.wav").expect("failed to open file");
+    let hound::WavSpec {
+        channels,
+        sample_rate,
+        bits_per_sample,
+        ..
+    } = reader.spec();
+
+    // Convert the audio to floating point samples.
+    let mut audio = whisper_rs::convert_integer_to_float_audio(
+        &reader
+            .samples::<i16>()
+            .map(|s| s.expect("invalid sample"))
+            .collect::<Vec<_>>(),
+    );
+
+    // Convert audio to 16KHz mono f32 samples, as required by the model.
+    // These utilities are provided for convenience, but can be replaced with custom conversion logic.
+    // SIMD variants of these functions are also available on nightly Rust (see the docs).
+    if channels == 2 {
+        audio = whisper_rs::convert_stereo_to_mono_audio(&audio);
+    } else if channels != 1 {
+        panic!(">2 channels unsupported");
+    }
+
+    if sample_rate != 16000 {
+        panic!("sample rate must be 16KHz");
+    }
+
+    // Run the model.
+    ctx.full(params, &audio[..]).expect("failed to run model");
+
+    // Create a file to write the transcript to.
+    let mut file = File::create("transcript.txt").expect("failed to create file");
+
+    // Iterate through the segments of the transcript.
+    let num_segments = ctx.full_n_segments();
+    for i in 0..num_segments {
+        // Get the transcribed text and timestamps for the current segment.
+        let segment = ctx.full_get_segment_text(i).expect("failed to get segment");
+        let start_timestamp = ctx.full_get_segment_t0(i);
+        let end_timestamp = ctx.full_get_segment_t1(i);
+
+        // Print the segment to stdout.
+        println!("[{} - {}]: {}", start_timestamp, end_timestamp, segment);
+
+        // Format the segment information as a string.
+        let line = format!("[{} - {}]: {}\n", start_timestamp, end_timestamp, segment);
+
+        // Write the segment information to the file.
+        file.write_all(line.as_bytes())
+            .expect("failed to write to file");
+    }
+}