The document describes ZZ Photo, a photo organizing and management application. It has over 1800 users in its first 2 months across more than 20 countries. The app aims to help users deal with common photo library problems like duplicates, lack of organization and searchability. It does this through features like duplicate detection, face and pet recognition, and smart search. The target audience is active travelers, photography enthusiasts and young parents aged 20-45 in North America and Western Europe. The app is created by a team led by Alexander Lisovskiy with experience in product management and UI/UX design.
4. The Problem
1. Tons of folders
2. Too many duplicates
3. A lot of similar pictures
4. Hard to search
5. No order
6. No privacy
7. «I will take care
of it tomorrow»
NEW FOLDER23
5. Uniqueness
— Duplicates detection
— Similar pictures detection
— Identifying faces
— Identifying pets
— Scanned documents detection
— Travel (Beach, nature, snow) detection
— Import from PC and SM
— Different viewing modes
— Private mode
— Smart search
6. Target audience
Application is intended for:
Active travelers
Photography addicted
Young parents
North America
Audience demography:
Male and female
Age 20-45
Middle income
Audience geography:
North America
Western Europe
Audience request:
Order in photo library
Quick search
Happy memories
Western Europe
7. ZZ Photo Team
Alexander Lisovskiy, Founder.
Alexander is experienced Product
Manager and UX/UI designer. He
also co-founded Make design
Yuriy Medvedev, Lead Developer. Yuriy is
experienced in C#, .NET WPF user interface
developing for Windows-based desktop
applications. He worked for multi-user file cloud
AllenPort (Philadelphia, PA) as well as for
Infopulse Ukraine, Transexpo Corporation and
TranSat Ltd.
Oleksiy Puz’ko, .Net Developer
Yuriy Paschenko, Computer Vision Developer
Andrey Voloshin, Middle-Senior QA engineer
Maksim Baburin, Head of Marketing Dep.
Tatiana Vezhis, Brand Manager
studio where Citroen, Fiat
and 5 Channel are the key clients.
Artem Chernodub, Head of Computer
Vision Department. Artem is the expert in
artificial intelligence, computer vision,
neural networks areas. He is research
fellow at Institute of MMSP of National
Academy of Science of Ukraine.
Previously Artem took part in applied and
scientific projects for US Air Forces,
Samsung R&D, Ukraine's Government and
has more than 20 scientific publications.
8. 2012 2013 2014 2015 2016
05.2012 10.2014
Web version
Мobile version
Road map
UX/UI
PC version
11.2012
≈05.2015
9. Prices
Free $29.95
Tags 10 Unlimited
Persons 20 Unlimited
Timeline last 2 years only Unlimited
Private 100 photos Unlimited
Duplicates Unlimited Unlimited
Unlimited Unlimited
Unlimited Unlimited
Pets
recognition
Faces
recognition
$14.95
special offer