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MedeeStock
Local AI metadata for stock photos and videos
MedeeStock helps stock photographers and videographers prepare files faster. It uses local AI vision models to analyze images and videos, then generate ready-to-edit titles, descriptions, and keywords for stock platforms. The goal is simple: reduce repetitive metadata work while keeping creators in control of the final wording.
Hi Product Hunt,
I built MedeeStock because preparing metadata for stock images and videos can be repetitive and time-consuming.
The app uses local AI vision models to analyze visual files and generate titles, descriptions, and keywords that creators can review and edit before submitting to stock platforms.
My focus was to make the workflow practical for real stock contributors: faster metadata creation, local processing, and less manual typing.
I would appreciate feedback from photographers, videographers, and stock creators.
About MedeeStock on Product Hunt
“Local AI metadata for stock photos and videos”
MedeeStock was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #126 on the daily leaderboard. MedeeStock helps stock photographers and videographers prepare files faster. It uses local AI vision models to analyze images and videos, then generate ready-to-edit titles, descriptions, and keywords for stock platforms. The goal is simple: reduce repetitive metadata work while keeping creators in control of the final wording.
On the analytics side, MedeeStock competes within SEO, Photography and Artificial Intelligence — topics that collectively have 654k followers on Product Hunt. The dashboard above tracks how MedeeStock performed against the three products that launched closest to it on the same day.
Who hunted MedeeStock?
MedeeStock was hunted by Bundit Yu.. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of MedeeStock including community comment highlights and product details, visit the product overview.
Bundit Yu.