Photo Sherlock Search by photo

App provides search by image taken from camera or from gallery. Can be used to find information about photo on Internet, for example to detect real owner of photo from social network (check if photo is fake). Contains crop functionality.

Features:
- Reverse image search
- Custom camera to take photos fast and easily
- Possibility to choose photo from gallery
- Search by image with different search engines
- Possibility to crop image before search to remove unwanted regions
- Possibility to rotate image before search
- Image size reduced automatically to provide fast search experience
- Built-in web browser to conveniently navigate between search results with backward, forward and reload page actions

Pro version features:
- Ads are removed
- Possibility to open search direct link in external browser

Typical use cases:
- Search person by photo
- Detect if photo is fake
- Search by photo in social networks
- Search web pages where the photo is used
- Confirm that person from dating app is real
- Search original photo
- Search photo with better quality
- Recognition by photo
- Search products by photo
- Search clothes by photo
- Search by face
- Search clones by photo

Photo Sherlock is a mobile application that utilizes image recognition technology to assist users in finding visually similar images or information related to their uploaded photos. By leveraging a vast database of images, Photo Sherlock empowers users to conduct comprehensive visual searches and uncover a wide range of insights.

Key Features:

* Image Search: Users can upload an image or capture a photo using their device's camera. Photo Sherlock will then analyze the image and provide a list of visually similar images or matching results.

* Reverse Image Search: Photo Sherlock allows users to perform reverse image searches. By uploading an image, users can identify the source of the image, locate higher-resolution versions, or discover additional information associated with it.

* Object Recognition: The application can recognize and identify objects within uploaded images. This feature enables users to gain insights into the contents of images, such as identifying specific products, landmarks, or artwork.

* Text Recognition: Photo Sherlock incorporates optical character recognition (OCR) technology to extract text from images. This feature allows users to convert printed or handwritten text into digital format for further processing or analysis.

* Information Retrieval: Beyond image recognition, Photo Sherlock provides access to a comprehensive database of information. Users can obtain detailed information about recognized objects, including product descriptions, historical facts, and geographical data.

Applications:

Photo Sherlock has a wide range of applications, including:

* Shopping: Identify and compare products, find similar items, and access product reviews.

* Travel: Explore landmarks, discover local businesses, and translate foreign languages.

* Education: Identify plants, animals, and historical artifacts, and access educational resources.

* Personal Use: Find lost pets, identify unknown objects, and share discoveries with friends and family.

Accuracy and Efficiency:

Photo Sherlock utilizes advanced machine learning algorithms to ensure accurate and efficient image recognition. The application continuously learns and improves its database, ensuring that users receive the most up-to-date and comprehensive results.

User Interface:

Photo Sherlock features an intuitive and user-friendly interface. Users can easily navigate the application's features and quickly obtain the information they seek. The application is available for both iOS and Android devices.

Conclusion:

Photo Sherlock is a powerful and versatile image recognition tool that empowers users to search and discover information through the lens of their camera. With its ability to recognize objects, extract text, and provide comprehensive information, Photo Sherlock enhances the user experience and simplifies the process of visual exploration.