TinEye AI Overview
TinEye, an image search and recognition company, started in Canada in 2008. With it's reverse image search technology helps you find where your images appear online by uploading your image. TinEye is known for its advanced technology in computer vision, pattern recognition, neural networks, and machine learning. TinEye's goal is to make image search easy. TinEye provide various products and services for different industries, helping people find where images are used online and making sure images are used correctly.
What is TinEye?
TinEye is an innovative reverse image search tool that utilizes machine learning, neural networks, and computer vision AI techniques to perform image recognition and search functionalities.
Key Features of TinEye
Are you looking for a tool to find out where an image comes from, see where it's used online, or check if it's authentic? TinEye can be your best choice. It helps you find and recognize images effortlessly on the internet.
TinEye uses advanced image identification to analyze and match images, even if they have been edited or cropped. This makes TinEye ideal for a variety of applications. Now let's take a look at the features of TinEye.
- Brand Monitoring: TinEye track how your brand logos and product images appear online.
- Content Verification: TinEye verify the authenticity of photos to spot fakes online.
- Image Sourcing: TiEye easily find the original source of any image you find.
- Copyright Protection: TinEye helps you find unauthorized use of your images online.
- Fraud Detection: Tineye detect stolen or altered images used for fraudulent activities.
Other features include:
- Reverse Image Search to find visually similar images across the web.
- MatchEngine for content moderation and fraud detection.
- TinEye Alerts to monitor the web for unauthorized use of your images.
- TinEye API can be integrated with your own applications.
- MobileEngine tool for image recognition for your mobile applications.
- MulticolorEngine (color search tool).
TinEye is a powerful image recognition tool. However, it does not perform facial recognition. Are you ready to explore its capabilities? Try TinEye today!
How TinEye Works?
TinEye enables users to perform reverse image searches by either uploading an image or entering an image URL.
- Upload an Image: Users can upload their image by clicking the upload button on the TinEye website.
- Search by URL: Users can copy and paste an image URL into the search box.
- Drag and Drop: Users can drag and drop their images to search.
- Clipboard Paste: Users can copy an image to their clipboard and paste it directly into the TinEye search box.
I have tested my image with TinEye to find out whether it provides the best results. When I checked with my image, it returned 0 results. Moreover, I tested with the Toolkitly logo, and again, it didn't produce any results. Additionally, I checked the Starbucks logo example on the TinEye website, which provided around 36,185 results with sources for the Starbucks logo. Overall, in my search tests, I didn't get any results, and with the Starbucks logo search, it took some time to load the results. I am sharing the screenshots of the TinEye results below. Have a look at them.
The screenshot below displays 0 results when I checked with my image.
The screenshot below displays 0 results when I checked with Toolkitly logo.
The below screenshot displays 36,185 results with sources for the Starbucks logo
TinEye API Pricing
- The Starter plan costs $200 for 5,000 searches ($0.04 USD per search).
- The Basic plan costs $300 for 10,000 searches ($0.03 USD per search).
- The Corporate plan costs $1,000 for 50,000 searches ($0.02 USD per search).
- The Enterprise plan costs $10,000 for 1,000,000 searches ($0.01 USD per search).
Is TinEye worth it? pros, cons, and alternatives for image search
I have come across an interesting case study on TinEye by Meenakshi Kondal and Dr. Virender Singh, published in the International Journal of Innovative Science and Research Technology. I am sharing the key points of their research comparing TinEye with Google.
Pros and Cons of TinEye
Pros:
- Specialized Image Recognition: TinEye is good at telling if an image has been changed or resized from its original.
- Copyright Protection: It helps find if someone is using your pictures without permission, protecting your rights.
- Accurate Results: It gives exact results related to the image you search for, ensuring it finds unauthorized uses.
Cons:
- Limited Search: TinEye looks at fewer web pages compared to Google, so it may not find as many results.
- Slower: It can take more time than other search engines to show results, which might slow down finding information quickly.
These points show that TinEye is strong at protecting copyrights and recognizing specific images but may be slower and less comprehensive than larger search engines like Google.
Is TinEye the Best Tool to Find Old Photos Online? Unbiased Review
I found mixed reviews about TinEye. Here are some of the reviews I found on Reddit.
Positive:
- Users say "TinEye is great for finding images on the internet, especially to check if images are real."
- "TinEye is good at finding old pictures that Google and Yandex can't find."
- Some users have found old pictures they couldn't find anywhere else using TinEye.
Negative:
- Some people think "TinEye is obsolete and not as good as Google's image search."
- "TinEye does not store images itself but provides links to where matching images were found, which may no longer be accessible."
- People get annoyed when "TinEye can't find new or common images that other sites find easily."
Useful Links
Browser Extensions : https://tineye.com/extensions
TinEye API: https://services.tineye.com/TinEyeAPI
Terms: https://tineye.com/terms
TinEye AI FAQ's
TinEye stores user data on its own servers using encrypted connections and strictly follows data protection protocols. It can be considered a safe and secure reverse image search platform to use.
Summary
In conclusion, TinEye, the image search and recognition tool, makes it easy to find and use images correctly. It helps with tasks like content moderation, fraud detection, product label matching, and finding where images appear online.