Pixsy
7.4#3 in ai reverse image search toolsFrom $209 a yearFree planWebAPI
VisitPixsy vs Ximilar Visual Search
Ximilar Visual Search
7.9#2 in ai reverse image search toolsFrom $69 a monthFree planAndroidiOSWebAPI
VisitWhat both publish
| Fact | Pixsy | Ximilar Visual Search |
|---|---|---|
| Company size | LinkedIn lists Pixsy as a privately held software-development company with 11–50 employees. | LinkedIn lists Ximilar as a privately held company with 11–50 employees. |
| Founded | Pixsy was founded in 2014 by photographer Daniel Foster, who later teamed with Torsten Rüter and Kain Jones. | LinkedIn lists Ximilar as founded in 2016. |
| Headquarters | Covina, California, United States | Brno, Czech Republic |
| Integrations | The integrations page lists Flickr, SmugMug, PhotoShelter, Tumblr, EyeEm, Photodeck, Instagram, Zenfolio, FTP, AWS S3 and API connections. | Ximilar says its Visual Search platform is accessible through an API and can be integrated with existing systems. |
| Security and privacy | Pixsy says it enforces HTTPS using an HSTS header and has implemented a company-wide data protection management system based on GDPR requirements. | Ximilar says custom training data is stored on its Prague, EU servers, GDPR applies, and customer data is not used to train another customer's models. |
Pixsy plans
- FreeFree
- Personal$19 a month
- Advanced$39 a month
- Pro$89 a month
- Personal$209 a year
- Advanced$429 a year
Ximilar Visual Search plans
- FreeFree
- API credit pack 10,000$11, paid once
- Business 100K$69 a month
- Business 300K$199 a month
- Business 500K$329 a month
- Professional 1M$579 a month
Pick Pixsy if…
Pixsy suits photographers, designers, illustrators, photo agencies, and media companies seeking image monitoring or help resolving image-use cases. It is also relevant to owners who want to organize matches and submit cases themselves.
Pick Ximilar Visual Search if…
It may suit teams managing product, stock, industrial, scientific or other image collections that need similarity search. API access and metadata filtering may be relevant when integrating search into existing systems.