Best Logo Detection APIs in 2024

What is Logo Detection?

Logo Detection is a Computer Vision technology that uses Machine Learning algorithms to identify logos or brand marks within images and videos.

Users can send an image or video to the API, it will then respond with information about the logos requested, such as the location of the logos and the confidence score of the detection. This technology can be leveraged in various applications, such as brand recognition, trademark infringement detection, and visual search engines.

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Logo Detection APIs uses cases

You can use Logo Detection API in numerous fields, here are some examples of common use cases:

• Advertising: target advertisements to specific audiences, by identifying the brands that they are interested in.
• Automated Image Tagging: allow websites and platforms to automatically tag images with brand logos for easier organization and searchability.
• E-commerce: automatically recognize logos on product images, making it easier for customers to search for specific products.
• Marketing : track their brand's presence on various platforms and monitor brand exposure.
• Media and Entertainment: identify and tag logos in TV shows, movies, and other video content, making it easier to search and organize large video libraries.
• Sports: automatically identify and display team logos, player images, and other relevant information.
• Retail : monitor brand exposure in their stores, allowing them to track which brands are getting the most visibility and make informed decisions about product placement and marketing.

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Best Logo Detection APIs on the market

While comparing Logo Detection APIs, it is crucial to consider different aspects, among others, cost security and privacy. Logo Detection experts at Eden AI tested, compared, and used many Logo Detection APIs of the market. Here are some actors that perform well (in alphabetical order):

• api4ai
• Clarifai
• Google Cloud Vision
• Hive.ai
• Microsoft Azure Computer Vision
• Smartclick
• Visua

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1. api4ai - Available on Eden AI

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api4ai provides Brand Recognition API - an out-of-the-box solution for brand logo recognition. The API uses a robust algorithm that can detect familiar logos even in challenging conditions such as poor lighting, rotation, and small distortions. When logos are detected, the API then suggests the most probable brand in the image along with a confidence level value.

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2. Clarifai - Available on Eden AI

Clarifai's API for detecting logos provides a precise and adaptable solution for identifying logos in images. By utilizing deep learning models and computer vision techniques, the API can detect more than 6,500 logos from critical brands and customer requests.

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3. Google Cloud Vision - Available on Eden AI

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Google Cloud Vision offers a Logo Detection API that can recognize popular logos and trademarks. The API can identify logos within an image or a video and return information about the location, size, and orientation of the logo. Especially, it can recognize logos even when they are partially obscured, tilted, or at an angle.

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4. Hive.ai

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Hive.ai offers a highly accurate and scalable solution for identifying logos in images and video. By leveraging Deep Learning models and Computer Vision techniques, the API can identify the presence of over 6,500 logos across key brands and customer requests. Additionally, they provide bounding boxes for all detections and timestamps of the logo detected in video content, allowing businesses to easily track when and where their logos are appearing.

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5. Microsoft Azure Computer Vision - Available on Eden AI

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Microsoft Azure Computer Vision offers a Logo Detection API that can recognize popular logos and trademarks from images. The API can identify logos and return information about the location, size, and orientation of the logo. In addition, Microsoft Azure’s API is particular in recognizing logos in a wide range of images, including those with low resolution or poor lighting.

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6. Smartclick - Available on Eden AI

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Smartclick provides advanced technology that can easily identify and locate logos. Their technology is built on a vast dataset of existing brand logo images (200+ real-world brand logo categories), allowing the API to detect popular brand logos in images, videos, and GIFs.

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7. Visua

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Visua provides an advanced API with a vast library of existing logos and marks, as well as the ability to self-activate new logos and branding in less than a minute.

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Performance variations of Logo Detection APIs

For all companies who use Logo Detection in their software: cost and performance are real concerns. The Logo Detection market is quite dense and all those providers have their benefits and weaknesses.

Performances of Logo Detection vary according to the specificity of data used by each AI engine for their model training. Some providers may use traditional computer vision techniques, while others may use deep learning-based approaches, which can impact the model's ability to accurately recognize logos in different types of images or videos.

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Why choose Eden AI to manage your Logo Detection APIs

‍Companies and developers from a wide range of industries (Social Media, Retail, Health, Finances, Law, etc.) use Eden AI’s unique API to easily integrate Logo Detection tasks in their cloud-based applications, without having to build their own solutions.

Eden AI offers multiple AI APIs on its platform amongst several technologies: Text-to-Speech, Language Detection, Sentiment Analysis, Question Answering, Data Anonymization, Speech Recognition, and so forth.

We want our users to have access to multiple Logo Detection engines and manage them in one place so they can reach high performance, optimize cost and cover all their needs. There are many reasons for using multiple APIs :

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• ‍Fallback provider is the ABCs: You need to set up a provider API that is requested if and only if the main Logo Detection API does not perform well (or is down). You can use confidence score returned or other methods to check provider accuracy.
• ‍Performance optimization: After the testing phase, you will be able to build a mapping of providers’ performance based on the criteria you have chosen (languages, fields, etc.). Each data that you need to process will then be sent to the best Logo Detection API.
• ‍Cost - Performance ratio optimization: You can choose the cheapest Logo Detection provider that performs well for your data.
• ‍Combine multiple AI APIs: This approach is required if you look for extremely high accuracy. The combination leads to higher costs but allows your AI service to be safe and accurate because Logo Detection APIs will validate and invalidate each other for each piece of data.

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How Eden AI can help you?

‍Eden AI has been made for multiple AI APIs use. Eden AI is the future of AI usage in companies. Eden AI allows you to call multiple AI APIs.

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• Centralized and fully monitored billing on Eden AI for all Logo Detection APIs
• Unified API for all providers: simple and standard to use, quick switch between providers, access to the specific features of each provider
• Standardized response format: the JSON output format is the same for all suppliers thanks to Eden AI's standardization work. The response elements are also standardized thanks to Eden AI's powerful matching algorithms.
• The best Artificial Intelligence APIs in the market are available: big cloud providers (Google, AWS, Microsoft, and more specialized engines)
• Data protection: Eden AI will not store or use any data. Possibility to filter to use only GDPR engines.

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Next step in your project

The Eden AI team can help you with your Logo Detection integration project. This can be done by :

• Organizing a product demo and a discussion to better understand your needs. You can book a time slot on this link: Contact
• By testing the public version of Eden AI for free: however, not all providers are available on this version. Some are only available on the Enterprise version.
• By benefiting from the support and advice of a team of experts to find the optimal combination of providers according to the specifics of your needs
• Having the possibility to integrate on a third party platform: we can quickly develop connectors

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