Explore audio capabilities with the Gemini API

Python Node.js Go REST

Gemini can respond to prompts about audio. For example, Gemini can:

• Describe, summarize, or answer questions about audio content.
• Provide a transcription of the audio.
• Provide answers or a transcription about a specific segment of the audio.

This guide demonstrates different ways to interact with audio files and audio content using the Gemini API.

Supported audio formats

Gemini supports the following audio format MIME types:

• WAV - audio/wav
• MP3 - audio/mp3
• AIFF - audio/aiff
• AAC - audio/aac
• OGG Vorbis - audio/ogg
• FLAC - audio/flac

Technical details about audio

Gemini imposes the following rules on audio:

• Gemini represents each second of audio as 32 tokens; for example, one minute of audio is represented as 1,920 tokens.
• Gemini can only infer responses to English-language speech.
• Gemini can "understand" non-speech components, such as birdsong or sirens.
• The maximum supported length of audio data in a single prompt is 9.5 hours. Gemini doesn't limit the number of audio files in a single prompt; however, the total combined length of all audio files in a single prompt cannot exceed 9.5 hours.
• Gemini downsamples audio files to a 16 Kbps data resolution.
• If the audio source contains multiple channels, Gemini combines those channels down to a single channel.

Before you begin: Set up your project and API key

Before calling the Gemini API, you need to set up your project and configure your API key.

Make an audio file available to Gemini

You can make an audio file available to Gemini in either of the following ways:

• Upload the audio file prior to making the prompt request.
• Provide the audio file as inline data to the prompt request.

Upload an audio file and generate content

You can use the File API to upload an audio file of any size. Always use the File API when the total request size (including the files, text prompt, system instructions, etc.) is larger than 20 MB.

Call media.upload to upload a file using the File API. The following code uploads an audio file and then uses the file in a call to models.generateContent.

from google import genai

client = genai.Client()

myfile = client.files.upload(file='media/sample.mp3')

response = client.models.generate_content(
  model='gemini-2.0-flash',
  contents=['Describe this audio clip', myfile]
)

print(response.text)

Get metadata for a file

You can verify the API successfully stored the uploaded file and get its metadata by calling files.get.

myfile = client.files.upload(file='media/sample.mp3')
file_name = myfile.name
myfile = client.files.get(name=file_name)
print(myfile)

List uploaded files

You can upload multiple audio files (and other kinds of files). The following code generates a list of all the files uploaded:

print('My files:')
for f in client.files.list():
    print(' ', f.name)

Delete uploaded files

Files are automatically deleted after 48 hours. Optionally, you can manually delete an uploaded file. For example:

myfile = client.files.upload(file='media/sample.mp3')
client.files.delete(name=myfile.name)

Provide the audio file as inline data in the request

Instead of uploading an audio file, you can pass audio data in the same call that contains the prompt.

Then, pass that downloaded small audio file along with the prompt to Gemini:

from google.genai import types

with open('media/small-sample.mp3', 'rb') as f:
    image_bytes = f.read()

response = client.models.generate_content(
  model='gemini-2.0-flash',
  contents=[
    'Describe this audio clip',
    types.Part.from_bytes(
      data=image_bytes,
      mime_type='audio/mp3',
    )
  ]
)

print(response.text)

Note the following about providing audio as inline data:

• The maximum request size is 20 MB, which includes text prompts, system instructions, and files provided inline. If your file's size will make the total request size exceed 20 MB, then use the File API to upload files for use in requests.
• If you're using an audio sample multiple times, it is more efficient to use the File API.

More ways to work with audio

This section provides a few additional ways to get more from audio.

Get a transcript of the audio file

To get a transcript, just ask for it in the prompt. For example:

myfile = client.files.upload(file='media/sample.mp3')
prompt = 'Generate a transcript of the speech.'

response = client.models.generate_content(
  model='gemini-2.0-flash',
  contents=[prompt, myfile]
)

print(response.text)

Refer to timestamps in the audio file

A prompt can specify timestamps of the form MM:SS to refer to particular sections in an audio file. For example, the following prompt requests a transcript that:

• Starts at 2 minutes 30 seconds from the beginning of the file.
• Ends at 3 minutes 29 seconds from the beginning of the file.

# Create a prompt containing timestamps.
prompt = "Provide a transcript of the speech from 02:30 to 03:29."

Count tokens

Call the countTokens method to get a count of the number of tokens in the audio file. For example:

response = client.models.count_tokens(
  model='gemini-2.0-flash',
  contents=[myfile]
)

print(response)

What's next

This guide shows how to upload audio files using the File API and then generate text outputs from audio inputs. To learn more, see the following resources:

• File prompting strategies: The Gemini API supports prompting with text, image, audio, and video data, also known as multimodal prompting.
• System instructions: System instructions let you steer the behavior of the model based on your specific needs and use cases.
• Safety guidance: Sometimes generative AI models produce unexpected outputs, such as outputs that are inaccurate, biased, or offensive. Post-processing and human evaluation are essential to limit the risk of harm from such outputs.