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How much does BirdNET earn?

iOS app from Stefan Kahl · News

ML forecast ★ 4.1 · 205 -56.3% MoM Freemium

~394/mo

ML revenue forecast. Calibrated against 2624 apps in this category.

Confidence band
±15%
High — many comparable apps with verified data

At a glance

What the app looks like

Live screenshots from the App Store, captured by our snapshot worker. Tap any image to enlarge.

BirdNET screenshot 1 BirdNET screenshot 2 BirdNET screenshot 3 BirdNET screenshot 4

BirdNET's revenue trajectory

Forecast revenue from snapshot history. Last 24 months.

Where BirdNET sits in News

Revenue distribution of 2624 comparable apps. BirdNET highlighted.

BirdNET vs comparable apps

Revenue trajectory side-by-side. Bold = BirdNET, ghosted = peers.

App spec

Version
1.1.1
Last update
Jul 10, 2025
Launched
Dec 03, 2020
Min OS
13.0
Rating
4+
Price
Free
Monetization
Freemium
Languages
CS, NL, EN, FR +8

What BirdNET actually does (from App Store listing)

How can computers learn to recognize birds from sounds? The BirdNET research project uses artificial intelligence and neural networks to train computers to identify nearly 3,000 of the most common species of North America and Europe. You can record a file using the internal microphone of your iOS device and see if BirdNET correctly identifies the probable bird species present in your recording. Get to know the birds around you and help us to collect observations by submitting your recordings. …
Read full description →

🆕 What's new · v1.1.1

Fixed some issues with files submission

Comparable iOS apps

The five apps in News with the closest revenue to BirdNET. Click any to see its detail page.

AppRevenueRatingRatings
Lamelif Kur'an & Tecvid icon Lamelif Kur'an & Tecvid 394 ★ 4.9 338
METRO Companion icon METRO Companion 394 ★ 3.3 566
PagePlayer - Cornelsen icon PagePlayer - Cornelsen 394 ★ 3.9 32
Cropp: zakupy online icon Cropp: zakupy online 393 ★ 4.8 368
НІТ icon НІТ 392 ★ 1.8 22
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How we calculated this

Each forecast combines App Store rating, ratings count, monetisation model, pricing tier, IAP signals and ad-supported flag. The base estimate is then multiplied by a per-category scaling factor learned from apps with founder-verified MRR. Every number on this page comes from public APIs and bumetric's own snapshot history.

Full methodology covers input variables, accuracy bands per category and how we treat apps without comparable anchors. See also the live data on BirdNET's tracker page for current rating, reviews and snapshot timeline.

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