
SendStock AI
Instantly Generate Perfect Metadata for stock
133 followers
Instantly Generate Perfect Metadata for stock
133 followers
Unlock AI-powered metadata generation for image contributors on Adobe Stock, Shutterstock, Freepik & more. Ensure compliance and streamline uploads. Automate bulk creation, tailor prompts to your needs, manage edits locally & online.







SendStock AI
Auto-generating stock metadata? 📸⚡ That’s a huge time-saver for contributors. Curious how well it handles niche content tags! 🧠🏷️
This AI-powered metadata generator is a game-changer for image contributors—it streamlines uploads to platforms like Adobe Stock, Shutterstock, and Freepik, ensuring compliance and automating bulk metadata creation. I love how it lets me tailor prompts and manage edits both locally and online.
Instance
That's super helpful. I used to sell images through those platforms years ago, and I remember how much work went into all of that. This is such a time saver.
Good luck with your launch.
SendStock AI
@filipgres Thank you.
It's never too late to get back into it; contributing to inventory always provides additional income. 😊
Pokecut
This AI-powered metadata generation tool for image contributors sounds incredible! 🎉 Automating bulk creation while ensuring compliance will save so much time and effort. Really excited to see how it streamlines uploads and makes managing edits easier both locally and online. Can’t wait to try it out! 🚀📸
Hey Michael, congratulations on the launch of SendStock AI! This is a brilliant example of using AI to solve a tedious, high-value problem for a specific niche. As a builder myself, I have huge respect for this kind of focused execution.
While I'm not a stock photo contributor personally, I've worked with many designers and marketers, and I know that metadata is the unglamorous, yet critical, part of the workflow. You're not just saving time; you're increasing the discoverability and earning potential of each asset.
To answer your question from a product perspective: one of the biggest challenges I could foresee is maintaining "authenticity" and avoiding "generic" AI-generated keywords. How does SendStock AI ensure the keywords are not only technically accurate but also capture the unique mood, style, or conceptual nuances that make a photo stand out to a human buyer? Perhaps incorporating user feedback to refine keyword suggestions could be a powerful loop.
This is a fantastic tool with a clear ROI for contributors. Wishing you great success
SendStock AI
@felix_foster Thank you for your message of support and encouragement.
To answer your question, AI models currently don't understand "context." To work around this, I've implemented an intermediate (non-mandatory) step to add context to the AI model's instruction.
The application also includes a whole set of parameters that take into account the regulations, requirements, and "best practices" for submissions that the platforms require.
@mickael_bellun Thanks for the detailed reply, Mickael! That makes perfect sense.
Your approach of adding an intermediate step for context is a really smart way to engineer around the current limitations of the models. It shows a deep understanding of both the user's need and the AI's capabilities.
I really appreciate your transparency. It's clear you've thought deeply about this. Keep up the great work!
seems really helpful for content creators.