# SnapChirp

- **Website:** <https://snapchirp.com>
- **Primary alias:** `snapchirp.com`

## Description

SnapChirp is a bird identification app created by Brian Sweeney, designed to help users identify birds from photographs and sound recordings. For photos, it combines predictions from multiple AI models and uses location and date information to prioritize species likely to occur nearby. Users can provide their location through GPS, drop a map pin, search for a place, select a region, or choose a global search. Sound identification analyzes recordings with several models, and a species must be detected by at least two before it appears in the results, helping reduce false positives.

The app also offers a field guide, identification history, filters, and tools for reviewing model predictions. Users can save photos and recordings, explore nearby species, and adjust model settings. SnapChirp explains how location filtering works, including its limitations for rare or sensitive species. Access to the identification app is by invitation, while the field guide can be browsed without an account.

## Industries

- 🐶 Pets and Animals
- 🐶 Birds _(under Pets and Animals)_
- 🖥 Computers Electronics and Technology
- 🖥 Artificial Intelligence and Machine Learning _(under Computers Electronics and Technology)_
- 🎸 Hobbies and Leisure

## Logos & icons

- logo _(primary)_ — PNG — [download](https://cdn.brandfetch.io/idmZ9INomJ/w/192/h/192/theme/dark/logo.png?c=1bxid64Mup7aczewSAYMX&t=1791769909515)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Denim | #1565c0 | accent |
| Chathams Blue | #13407f | dark |
| Havelock Blue | #4a90d9 | light |

## Fonts

- -apple-system — asset _(system)_

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_Source: <https://brandfetch.com/snapchirp.com>_
_See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._