Low Scenario
Alamy: $400/year
Motion Array: not modeled for this format
1000 stock photos
The Alamy vs Motion Array earnings comparison estimates realistic stock income for Alamy and Motion Array contributors using 2026 contributor payout ranges. This comparison frames both marketplaces with the same asset count, so the result is easier to use for portfolio planning. Both sides are calculated from the same default asset count, then displayed as annual, monthly, daily, and per-asset values. This page models 1000 stock photos on Alamy, then shows low, average, and high revenue bands with monthly, yearly, daily, and per-asset values. Use the monthly figure for cash-flow planning and the per-asset value for deciding whether new production time is justified.
| Platform | Photo RPI | Video RPC | Payout | AI |
|---|---|---|---|---|
| Alamy | $0-$8/asset/year | n/a | $50 | not stated |
| Motion Array | n/a | $1-$5/asset/year | n/a | not stated |
Alamy: $400/year
Motion Array: not modeled for this format
1000 stock photos
Alamy: $1,500/year
Motion Array: not modeled for this format
1000 stock photos
Alamy: $8,000/year
Motion Array: not modeled for this format
1000 stock photos
Enter only accepted, searchable assets that are live for buyers. Drafts, rejected files, and unkeyworded uploads should not be counted.
Recheck after major royalty changes, marketplace policy changes, or every few months of new uploads so the planning range stays realistic.
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.
The calculator estimates contributor revenue before production costs, taxes, gear, software, models, props, travel, and editing time.
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.
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.