Low Scenario
Shutterstock: $500/year
Alamy: $400/year
1000 stock photos
Shutterstock vs Alamy Contributor Earnings
The Shutterstock vs Alamy earnings comparison estimates realistic stock income for Shutterstock and Alamy contributors using 2026 contributor payout ranges. The goal is not to crown a universal winner, because exclusivity, upload time, and buyer audience can change the answer for each contributor. The table highlights royalty assumptions first, because that is the strongest signal before looking at payout thresholds and policies. This page models 1000 stock photos on Shutterstock, then shows low, average, and high revenue bands with monthly, yearly, daily, and per-asset values. Adjust the asset count, switch the scenario, and use the result as a planning baseline before producing the next batch.
Royalty Rates 2026
| Platform | Photo RPI | Video RPC | Payout | AI |
|---|---|---|---|---|
| Shutterstock | $1-$3/asset/year | $2-$15/asset/year | $35 | not allowed |
| Alamy | $0-$8/asset/year | n/a | $50 | not stated |
Real Earnings Scenarios
Average Scenario
Shutterstock: $1,200/year
Alamy: $1,500/year
1000 stock photos
High Scenario
Shutterstock: $3,000/year
Alamy: $8,000/year
1000 stock photos
Frequently Asked Questions
Does this calculator work without JavaScript?
Yes. The default average estimate is rendered into the HTML during the PHP build. JavaScript only updates the numbers live when you change an input.
Are these numbers revenue or profit?
The calculator estimates contributor revenue before production costs, taxes, gear, software, models, props, travel, and editing time.
Can AI-generated content use this estimate?
Use it only on platforms that allow AI content and label it according to marketplace rules. AI-generic content often needs a lower demand multiplier because supply is extremely high.
How accurate is the Shutterstock vs Alamy earnings comparison?
It is a planning estimate based on contributor-reported payout ranges, annualized per-asset revenue, and the visible inputs on this page. Real results vary with keywording, content quality, review acceptance, buyer mix, and seasonality.
Why are low and high scenarios so different?
Stock income is uneven. A strong commercial niche, better metadata, and recurring buyer demand can lift the same asset count far above a weak or oversupplied library.
Does exclusivity change the estimate?
Only pages and platforms with explicit exclusive and nonexclusive commission fields can model an exclusivity bonus. Otherwise, the calculator keeps the nonexclusive baseline.