Low Scenario
$25 monthly, $300 yearly, $0 per asset.
1000 stock photos
The iStock Photo earnings calculator estimates realistic stock income for iStock Photo contributors using 2026 contributor payout ranges. The estimate keeps the inputs simple so contributors can compare formats without a spreadsheet or marketplace dashboard export. The server-rendered estimate is visible without JavaScript, and the small script only updates values when the input changes. This page models 1000 stock photos on iStock, 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.
| Founded | 2000 |
|---|---|
| Owner | Getty Images |
| Photo RPI | $0-$3/asset/year |
| Video RPC | $1-$10/asset/year |
| HD payout range | $6 low, $14 avg, $90 high |
| 4K payout range | n/a |
| Payout threshold | $100 |
| AI content | not allowed |
| 2026 note | Exclusivity verdoppelt Commission. Getty-Sales bringen gelegentlich Spitzen ueber $75. |
$25 monthly, $300 yearly, $0 per asset.
1000 stock photos
$67 monthly, $800 yearly, $1 per asset.
1000 stock photos
$208 monthly, $2,500 yearly, $3 per asset.
1000 stock photos
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.