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PyPI Python 3.x Test

A python api for BirdNET-Analyzer and BirdNET-Lite


birdnetlib requires Python 3.9+ and prior installation of Tensorflow Lite, librosa and ffmpeg. See BirdNET-Analyzer for more details on installing the Tensorflow-related dependencies.

pip install birdnetlib


birdnetlib provides a common interface for BirdNET-Analyzer and BirdNET-Lite.

Using BirdNET-Analyzer

To use the latest BirdNET-Analyzer model, use the Analyzer class.

from birdnetlib import Recording
from birdnetlib.analyzer import Analyzer
from datetime import datetime

# Load and initialize the BirdNET-Analyzer models.
analyzer = Analyzer()

recording = Recording(
    date=datetime(year=2022, month=5, day=10), # use date or week_48

recording.detections contains a list of detected species, along with time ranges and confidence value.

[{'common_name': 'House Finch',
  'confidence': 0.5744,
  'end_time': 12.0,
  'scientific_name': 'Haemorhous mexicanus',
  'start_time': 9.0,
  'label': 'Haemorhous mexicanus_House Finch'},
 {'common_name': 'House Finch',
  'confidence': 0.4496,
  'end_time': 15.0,
  'scientific_name': 'Haemorhous mexicanus',
  'start_time': 12.0,
  'label': 'Haemorhous mexicanus_House Finch'}]

The Recording class takes a file path as an argument. You can also use RecordingFileObject to analyze an in-memory object, or RecordingBuffer for handling an array buffer.

About BirdNET-Analyzer

birdnetlib uses models provided by BirdNET-Analyzer and BirdNET-Lite under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License.

BirdNET-Analyzer and BirdNET-Lite were developed by the K. Lisa Yang Center for Conservation Bioacoustics at the Cornell Lab of Ornithology.

For more information on BirdNET analyzers, please see the project repositories below:



birdnetlib is not associated with BirdNET-Lite, BirdNET-Analyzer or the K. Lisa Yang Center for Conservation Bioacoustics.

About birdnetlib

birdnetlib is maintained by Joe Weiss. Contributions are welcome.

Project Goals

  • Establish a unified API for interacting with Tensorflow-based BirdNET analyzers
  • Enable python-based test cases for BirdNET analyzers
  • Make it easier to use BirdNET in python-based projects
  • Make it easier to migrate to new BirdNET versions/models as they become available