Bird Song Id UK
Bird Song Id UK
Download on App Store

This page is not an official page of the app or its developer, but an independent editorial publication created for informational and commentary purposes. Unless expressly stated otherwise, neither the app nor its developer is affiliated with, endorsed by, sponsored by, authorized by, or otherwise officially connected with MWM, Apple, Google Play, the app publisher, or the app's developer, and nothing on this page implies that the app was developed using MWM's services. Any trademarks, logos, screenshots, and other content remain the property of their respective owners.

Logo of Bird Song Id UK
Download on App Store

Bird Song Id UK

Discover the sounds of the British Isles with automatic, on-device recognition. Perfect for travelers and nature enthusiasts, our offline technology works deep in the woods without any mobile connection or roaming fees.

Key Figures

Downloads

169K+

User Rating

4.1/5

Total Ratings

1K+

Publisher

Mullen & Pohland GbR

Category

Reference

Locales

1

Latest Version

iOS-App 8.9

Size

116.0 MB

First Released

Feb 15, 2013
Features

Your Expert Companion for the British Countryside

Discover the sounds of the UK with the world's most trusted automatic bird song identifier, built for travelers and nature enthusiasts who demand precision without needing a data connection.

100% Offline Identification

No roaming charges or signal required. All recognition technology is built directly into the app, ensuring it works perfectly in the most remote British national parks.

British-Calibrated Accuracy

Specifically engineered for the British Isles, our algorithm delivers an 85% success rate, helping you distinguish local species with the confidence of an expert.

The following screenshots and description are sourced directly from the app's official store listing and are the property of the app developer.

App Store

Screenshots

Bird Song Id UK - The splash screen of the Bird Song Id UK app featuring a bird on a branch with text highlighting automatic recognition.

The splash screen of the Bird Song Id UK app featuring a bird on a branch with text highlighting automatic recognition.

Bird Song Id UK - Bird Song Id UK app interface for recording and identifying bird songs

Bird Song Id UK app interface for recording and identifying bird songs

Bird Song Id UK - Bird identification results screen in the Bird Song Id UK app showing a list of birds with match percentages like Song Thrush and Blackbird

Bird identification results screen in the Bird Song Id UK app showing a list of birds with match percentages like Song Thrush and Blackbird

Bird Song Id UK - Bird families screen in the Bird Song Id UK app displaying 135 species and 220 songs

Bird families screen in the Bird Song Id UK app displaying 135 species and 220 songs

Bird Song Id UK - Manual bird song identification interface showing acoustic properties like pitch and volume

Manual bird song identification interface showing acoustic properties like pitch and volume

Bird Song Id UK - Screenshots of the Bird Song Id UK app showing the interactive bird song identification quiz feature.

Screenshots of the Bird Song Id UK app showing the interactive bird song identification quiz feature.

Bird Song Id UK - Bird Song Id UK mobile app interface showing bird lists sorted by family and name

Bird Song Id UK mobile app interface showing bird lists sorted by family and name

Bird Song Id UK - Screenshot of the Bird Song Id UK app showing a detailed profile of a Nuthatch with photo and habitat information

Screenshot of the Bird Song Id UK app showing a detailed profile of a Nuthatch with photo and habitat information

Bird Song Id UK - Smartphone screen showing a map of the UK with red pins marking bird song recording locations in the Bird Song Id UK app.

Smartphone screen showing a map of the UK with red pins marking bird song recording locations in the Bird Song Id UK app.

Bird Song Id UK - Bird Song Id UK app interface showing a woodpecker and offline use message

Bird Song Id UK app interface showing a woodpecker and offline use message

Description

The original and the best, accept no cheap imitations ! Record a bird singing and use Automatic Recognition to help identify it. Unlike all other apps, no internet or mobile connection is needed. • The Times Newspaper said the app "Does what it says on the tin" and were amazed that "this astonishing piece of software costs about the same as a cup of coffee". • "In direct comparison Bird Song Id showed better results than Chirpomatic". - naturschutz.ch - Swiss Birding Magazine Copied by a few, bettered by none, Bird Song Id is three years ahead of anyone else in this field ! • The Telegraph Newspaper said "Bird Song Id is a good walk improved, and may even put a spring in your step". • over 1000 good ratings Automatic Recognition takes place on the device, no connection to the internet or mobile network is needed. Automatic Recognition needs good quality recordings to work. See the HELP below, or follow the Developer Website link to find out how to improve your recordings. Automatic Recognition will help identify a good cross section of bird song in the British Isles, but you will need a good quality recording. Lots of blue and green peaks reaching to the top of the analysis graph is a good indication of a quality recording. Help and examples are included in the app to guide you. How successful is it ? Our aim is to get the correct bird in the top three of those listed. In our testing of over 1,000 samples we found the success rate to be 85%. Follow the Developer Website link to see a demo of Automatic Recognition on YouTube --------------- HELP ---------------- Automatic Recognition needs a good quality recording of the bird. ------------- Only record when a single bird is singing, or when a single bird is dominant ------------- The analysis graph should have plenty of blue and green colors with few or no black peaks. ------------- The peaks on the graph should reach all the way to the top. Low peaks indicate poor quality and recognition is unlikely. ------------- The Audio Quality, shown at the top of the results screen, should be at least Good, and preferably Very Good or Excellent ------------- The highest score should be above 70% to be useful. Below this and the system is telling you it is not sure what the song is. ------------- A difference between two birds of less than 10% is not that significant, so listen to the samples from both to help you further ------------- See the samples for how the analysis graph should look (to see the samples press the sample button at the top right of the help page) ------------- Make sure it is very quiet apart from the bird song which should be nice and loud ------------- Be as close to the bird as you can be without disturbing it ------------- Be patient, dont expect miracles, the system works but needs good clear recordings ------------- The microphone is at the bottom of an iPhone, point the bottom of the phone towards the bird ------------- Remove the case from your iPhone if you use one as this can dampen the microphone ------------- Record a single bird at a time ------------- Capture at least two singing episodes if you can. ------------- Record for the full 30 seconds ------------- Avoid windy conditions. Air moving over the microphone will mask the bird sounds ------------- Make sure there is plenty of life in the battery. Your device will reduce power going to the microphone as the battery runs down ------------- Playing songs to the app from recorded material on the internet, other apps or CDs is unlikely to work as this material is digitally processed and edited (inter phase gaps are often shortened). They sound very different to recording birds for real on an iPhone or iPad in the natural environment. Its a bit like putting rocket fuel in a lawn mower. -------------

Download

Download on App Store

This page is not an official page of the app or its developer, but an independent editorial publication created for informational and commentary purposes. Unless expressly stated otherwise, neither the app nor its developer is affiliated with, endorsed by, sponsored by, authorized by, or otherwise officially connected with MWM, Apple, Google Play, the app publisher, or the app's developer, and nothing on this page implies that the app was developed using MWM's services. Any trademarks, logos, screenshots, and other content remain the property of their respective owners.