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The fastest AI microstock keyword generator: titles, keywords and descriptions from 50M+ real buyer searches in 1.3 seconds per file. 20 free credits.

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Website, pricing, platforms and company facts side by side.
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| Website | cyberstock.lol | codegres.org |
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| Company | Startup from the United States · 1 - 9 employees · 2025 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


CyberStock is the AI keyword generator built for stock contributors who want sales, not just tags. Generic AI tools describe what the camera sees: woman, laptop, coffee. Every contributor uploads the same list and the files sink. CyberStock writes titles, keywords and descriptions from what...
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As answered by people managing CyberStock.lol and Codegres.org.
CyberStock.lol's answer
CyberStock is the only stock keywording engine built on 50M+ real buyer searches plus SEMrush and Google Trends, instead of generic image recognition. It writes the keywords and titles buyers actually type, scores every file 0-100 with a Selling Score before upload, keywords a file in about 1.3 seconds, and then uploads it to the agencies for you with the CyberPusher Chrome extension at 0% commission.
CyberStock.lol's answer
Most tools describe what the camera sees, so every contributor gets the same tags and the files sink. CyberStock targets buyer demand: real search data, Best Concept Recognition, marketplace-ready rules for Adobe Stock, Shutterstock, Getty, iStock and Pond5, generate once and export for every agency without regenerating, Batch Mode 10,000 and CyberBatch up to 1,000,000 files, 30+ languages, IPTC/XMP embedding, CSV export, a public API, and automated multi-agency upload with no revenue share.
CyberStock.lol's answer
Stock photographers, videographers, illustrators and AI-content creators who sell on Adobe Stock, Shutterstock, Getty Images, iStock, Pond5, Dreamstime, Depositphotos and 123RF, from beginners to studios uploading 10,000+ files.
CyberStock.lol's answer
Founder Alex Bonapart is a stock contributor who earned over $10,000/month across multiple agencies. He saw that the bottleneck was never the shooting but the keywording: hours of manual metadata and AI tools that list objects instead of what buyers search. He built CyberStock to write metadata from real buyer data and to automate uploading to every agency.
CyberStock.lol's answer
React, TypeScript and Vite on the front end, Supabase (Postgres, Edge Functions, Realtime), Google Gemini models, Cloudflare R2 storage, Stripe billing, and a Chrome MV3 extension (CyberPusher) for automated agency uploads.
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