Ximilar is an AI platform that provides image recognition and visual search APIs for businesses. It automates image tagging, description, sorting, and searching, streamlining image processing tasks.
Ximilar offers a robust AI platform designed for businesses to enhance their image processing capabilities through advanced image recognition and visual search APIs. The platform automates tasks such as image tagging, description generation, sorting, and searching, significantly reducing manual effort and costs. It supports various applications, including product recommendations in e-commerce, content curation, and identification of collectibles like stamps, coins, and comic books. Ximilar's solutions are built to handle large datasets, processing millions of images efficiently while prioritizing data security and compliance with regulations like GDPR. Developers can access its capabilities via REST API, with support for custom model training and continuous optimization.
Best used for
Ideal for data scientists who need to automate image analysis, implement visual search for products, and categorize large image datasets. Especially valuable for e-commerce platforms seeking to enhance product recommendations and for businesses requiring automated content moderation or collectible identification.
Not publicly disclosed. Check ximilar.com for current pricing.
FAQs
What is the pricing model for Ximilar's services?
Ximilar operates on a freemium model, offering free training and deployment of models. You only pay for the actual usage of services in production, based on API calls and credits. Monthly credit supplies are available, and additional credit packs can be purchased.
Which image formats does Ximilar's API support?
Ximilar's API supports various image formats including JPG, JPEG, PNG, WEBP, HEIC, BMP, TIFF, and JFIF. For GIF files, only the first frame is processed. Customizations for other formats can be discussed upon request.
How does Ximilar handle data privacy and security?
Ximilar prioritizes data security and confidentiality. They do not store user images (except for agreed training datasets), adhere to GDPR, and are ISO-certified. Intellectual rights to generated models are shared, and on-premises installation is possible for larger projects.
How fast is Ximilar's image recognition process?
Basic categorization and recognition models typically process an image within 5 to 100 milliseconds, depending on factors like input resolution and CDN speed. Cached model serving helps eliminate cold-start delays, ensuring quick responses.
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