Bird Seeker Spain
Education
Take a photo, find out what birds you can see there (only spanish language).
- Downloads
- 70+
- on Google Play
- Price
- Free
- No in-app purchases
- Updated
- May 17
- 2026 · v0.0.65
Screenshots
About Bird Seeker Spain
ONLY SPANISH LANGUAGE (this one is a huge project and many region-specific lists would need to be translated).
Would you like to know which natural area is most likely to support a certain bird species, which crop field is most likely to be affected by the presence of crows, or what kind of birds are likely to be present at the photographed location at a certain time of the year?
With Bird Seeker you can find a solution to all these questions.
Just take a photo of a tree, a bush, a pond, a house, a crop field, etc. The application will show you which birds you are most likely to find there, you only have to indicate the geographical area (province), change the date if you want, take a photo and indicate whether it is windy or not.
The application takes into account when making the identification:
- The time of day (if it is night, if it is getting dark, etc.)
- Whether it has snowed or rained
- If it is cloudy or clear
- If it is windy
- The season of the year
- The type of habitat
- The frequency of each bird species during that week of the year
- The geographical area of distribution of the species:
Autonomous Communities with results by Province improved:
- ARAGON - EXTREMADURA - MADRID
All based on real frequency data for each province and on photographs taken by ornithologists of landscapes where the birds included in the application were present at that time.
Species included (39 out of 400 possible):
Eurasian skylark, Mallard, White wagtail, Rock dove, Rock sparrow, Crested lark, Carrion crow, Spotless starling, Eurasian blue tit, European goldfinch, Eurasian tree sparrow, Hen harrier, Common reed bunting, Great spotted woodpecker, Iberian green woodpecker, Meadow pipit, European stonechat, Common shelduck, Corn bunting, Eurasian collared dove and Eurasian magpie, ... , ... , ...
WORKS OFFLINE: Available Anywhere
Would you like to know which natural area is most likely to support a certain bird species, which crop field is most likely to be affected by the presence of crows, or what kind of birds are likely to be present at the photographed location at a certain time of the year?
With Bird Seeker you can find a solution to all these questions.
Just take a photo of a tree, a bush, a pond, a house, a crop field, etc. The application will show you which birds you are most likely to find there, you only have to indicate the geographical area (province), change the date if you want, take a photo and indicate whether it is windy or not.
The application takes into account when making the identification:
- The time of day (if it is night, if it is getting dark, etc.)
- Whether it has snowed or rained
- If it is cloudy or clear
- If it is windy
- The season of the year
- The type of habitat
- The frequency of each bird species during that week of the year
- The geographical area of distribution of the species:
Autonomous Communities with results by Province improved:
- ARAGON - EXTREMADURA - MADRID
All based on real frequency data for each province and on photographs taken by ornithologists of landscapes where the birds included in the application were present at that time.
Species included (39 out of 400 possible):
Eurasian skylark, Mallard, White wagtail, Rock dove, Rock sparrow, Crested lark, Carrion crow, Spotless starling, Eurasian blue tit, European goldfinch, Eurasian tree sparrow, Hen harrier, Common reed bunting, Great spotted woodpecker, Iberian green woodpecker, Meadow pipit, European stonechat, Common shelduck, Corn bunting, Eurasian collared dove and Eurasian magpie, ... , ... , ...
WORKS OFFLINE: Available Anywhere
What’s new
Version 0.0.65 · Updated May 17, 2026
Release 0.55 (10/29/2023) ======================== Now Bird names in english. Improved results for Navarre and Basque Country. Added button to switch langs. Release 0.37 (03/13/2023) ======================== Added Cerceta Común, Grulla Común, Aguilucho Lagunero Occidental, Pinzón Vulgar. Models trained with 4'000 images (previously 3'000).
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