Report updated Apr 18, 2026

Overview · Full Intel report in progress

iBird Photo Sleuth is an established reference app that is a paid app. With a 4.7/5 rating from 766 reviews, it shows polarized user reception.

What is iBird Photo Sleuth?

iBird Photo Sleuth is a reference tool for North American bird identification that utilizes Apple’s CoreML machine learning to analyze user-provided photographs. The app functions offline and offers an integrated community forum for expert assistance with difficult identifications.

Current Momentum

v1.13 · 9mo ago

Maintenance

Last updated 281d ago. 5 versions tracked.

Competition

Rivals identification in progress

7-Day Rank Pulse 🇺🇸

Reference
#53
NEW

Rating Pulse 🇺🇸

What makes this app unique?

What Does It Look Like?

What Are The Key Features?

CoreML IdentificationStandard

Uses a machine learning model trained on over 2 million bird images to identify species from photographs.

Offline FunctionalityStandard

The CoreML database is contained within the app, allowing for identification without an internet connection.

Expert Forum AccessStandard

Provides access to a community forum with over 100,000 members for additional identification support from ornithology experts.

Flexible Image InputStandard

Supports bird identification using photos taken directly via the camera or selected from the device's photo gallery.

How much does it cost?

Paid

Analysis in progress, available soon

What do users think recently?

Analysis in progress, available soon

View the full user-sentiment analysis

Mood gauge, ratings & review-volume history, every praise / complaint / request, and sentiment over time.

Go deeper

Analysis in progress, available soon

What is the competitive landscape for iBird Photo Sleuth?

How's The Reference Market?

How does it evolve in the Reference market?

Rank progression

2 active rankings tracked — 30-day window

Strategic analysis coming soon

SWOT, key takeaways & outlook

The outtake for iBird Photo Sleuth

Key Takeaways

The app provides an offline, machine-learning-based identification tool for North American birds, though user feedback indicates variable accuracy in real-world conditions.

Where Is It Heading?

Trend analysis

Available very soon

Disclosure: Independent intel to help mobile builders succeed.

AI-powered analysis with editorial review, built from publicly available sources. Marlvel.ai is not affiliated with, endorsed by, or sponsored by iBird Photo Sleuth, its developer, the app publisher, Apple, or Google Play. All trademarks, logos, and screenshots referenced remain the property of their respective owners.

Cite this report

Marlvel.ai. “iBird Photo Sleuth Intelligence Report.” Updated Apr 18, 2026. https://marlvel.ai/apps/mitchwaite-ibird-photo-sleuth

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