Hi!
I'm excited to introduce SendStock AI, the first tool designed exclusively for image contributors on Adobe Stock, Shutterstock, Freepik, and more, to generate perfect titles and keywords in seconds. I built SendStock to save you time every week and eliminate the risk of rejections or account issues.
I'd love your feedback:
* What's your biggest pain point today when tagging and titling images?
* What platforms do you contribute to, and what are your metadata challenges?
* What feature should we improve?
Give us your feedback below and help shape the future of metadata automation!
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
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.
