SendStock AI
Launched this week
Instantly Generate Perfect Metadata for stock
140 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
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. 😊
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!