No more pixel peeping.

Turn massive bird photo collections into a searchable, quality-sorted library.

Project Kestrel is a Machine Learning-powered bird photography analysis software that groups your burst photos together and ranks them by image quality. Let Kestrel turn your RAW photo collection into a searchable, quality-sorted and interactive library, then simply select your favorite photos to edit and share!

Download for Windows See how it works

Kestrel turns your photo collection into a searchable, quality-sorted library. Browse by scene or family to quickly find your best shots without pixel peeping.

100% local

All processing is done locally on your device.

Intelligent Grouping

Groups your photos by bursts or scenes for faster review.

You stay in control

Kestrel only checks sharpness, motion blur, and noise. You pick your favorites based on pose, framing, and artistic preference.

Search by Family/Species

Kestrel guesses the family and species of birds in your photos, so you can filter your library to find specific birds.

Works with RAW Formats

Kestrel works with RAW files, preserves your folder structure, and never deletes or modifies your photos.

Features

Make reviewing thousands of photos feel effortless.

Automatic bird detection

Finds birds, masks them precisely, and focuses quality scoring on the subject.

Family and species search

Classifies birds so you can filter your library by family or species.

Objective quality ranking

Ranks frames by sharpness, motion blur, and noise for clean comparisons.

Scene grouping

Bursts are grouped automatically so you can judge similar frames together.

Note: Kestrel family classification and species classification may be inaccurate and should only be used as a tool to help narrow down your library when searching for a specific scene.

How to Use