The Complete Getty Images & iStock Contributor Guide (2026)

iStock is owned by Getty Images, so one application, one account, and one submission pipeline feed both brands. This is the complete, start-to-finish guide to contributing: how to apply, how to prepare files that pass review, how to keyword for Getty's controlled vocabulary, how to upload through the Contributor app and ESP, and the rejection reasons that quietly cost working contributors the most sales.

One application, two brands

The first thing to understand is that iStock and Getty Images are not two separate sign-ups. iStock is the more affordable royalty-free storefront; Getty Images is the premium side; and behind both sits one company, one contributor account, and one controlled vocabulary. When you are accepted, the same account submits to both. If you are still deciding whether to join, start with how to become a Getty & iStock contributor, which walks through the application and sample review in detail — this guide picks up from acceptance and covers the day-to-day workflow.

How to apply

You apply through Getty's official Contributor app or the contributor site. The mobile Contributor app lets you start a royalty-free creative stills submission straight from your camera roll — attach releases, add titles, descriptions and keywords — and then finish larger batches in ESP (Enhanced Submission Platform), Getty's desktop submission tool. During the initial application you submit a small set of sample images; a reviewer checks them for technical quality, commercial value and correct releases before your account goes live.

Exclusive vs. non-exclusive

After acceptance you choose your model. Exclusive contributors earn a higher royalty but commit their royalty-free work to iStock only; non-exclusive contributors earn less per sale but can sell the same files on Adobe Stock, Shutterstock, 123RF and others. Many contributors start non-exclusive to test the waters, then reassess. The exact rates and the trade-off are broken down in Getty Images vs iStock: 2026 royalty rates.

Preparing files that pass review

Getty's technical bar is higher than most agencies, and technical rejections are the easiest kind to avoid. Before you keyword anything, get the files right:

• Format and size.Submit photos and vector illustrations as JPEG, up to 50 MB per file. Always confirm the current minimum resolution and file specs on Getty's live Preparing Your Content page — requirements change, and this is the one number you should never guess.
• Clean, sharp, correctly exposed. No noise, no over-sharpening halos, no dust spots, no chromatic aberration, no visible sensor dust. Reviewers zoom to 100%.
• Honest processing. Natural color and contrast beat heavy filters. Obvious HDR halos, banding in skies and crushed shadows are common quality rejections.
• No logos, brands or recognisable IP in creative (royalty-free) files unless they are removed or you have the rights. This is one of the most frequent rejection reasons of all.

Creative vs. editorial

Decide upfront which lane a file belongs to, because it changes the rules:

• Creative (royalty-free) is the commercial library — concepts, lifestyle, business, backgrounds. It requires releases for recognisable people and property, and must be free of visible brands and logos.
• Editorial documents real events, people and places as they are — no releases, but no commercial use, and the caption must state who, what, where and when accurately. Getty holds editorial to a high standard and generally reserves it for working photojournalists.

Model & property releases

For creative files, a recognisable person needs a signed model release, and recognisable private property (a distinctive building, a piece of art, a branded interior) may need a property release. Missing releases are one of the top rejection reasons. Attach the release at submission — the Contributor app and ESP both let you link a release to the files it covers. When you have no release, the file can often still go up as editorial instead.

Keywording for the controlled vocabulary

This is where most files quietly fail — not at review, but in search, months later, by never being found. Getty and iStock do not run on free-text keywords. Every term is matched against Getty's controlled vocabulary — a fixed, curated list of approved terms — and any keyword that is not on the list does nothing. Three rules carry most of the value:

1. Be specific. A precise term inherits its broad parents, synonyms and translations automatically. Tag Labrador Retriever and you also answer searches for dog, pet and animal — but animal never reaches the Labrador searches.
2. Order by relevance. The first ten keywords carry the most search weight. Lead with what the image most clearly is, not with broad concept terms.
3. Cover literal and conceptual. What is in the frame (woman, laptop, kitchen) and what it is about (working from home, productivity) — buyers search both, but every conceptual term still has to exist in the vocabulary and be honestly defensible.

The full method — the Who / What / Where & When / Why / How workflow, and the mistakes that sink submissions — is in the controlled vocabulary guide.

Don't upload near-duplicates

Getty explicitly warns against submitting multiple files that are too similar to others in the same series — they can be flagged as duplicate content and rejected. This catches contributors off guard, because a burst of frames from one shoot feels like more inventory. In practice, five near-identical frames with identical keywords do two bad things at once: some get rejected as duplicates, and the survivors compete against each other for the same search instead of covering five different ones.

The fix is to keep the genuinely different frames and give each one a different emphasis — a different leading keyword, a different honest angle — so they stop cannibalising each other. That is a discipline in itself; we wrote it up separately in why similar shots need different keywords.

Uploading: batches, ESP and CSV

You submit in batches. Small royalty-free stills jobs can be done end-to-end in the Contributor app; larger jobs are organised into batches in ESP, where you set metadata, attach releases, and submit for review. Contributors who keyword outside Getty's tools typically prepare their titles, descriptions and controlled-vocabulary keywords as a CSV and import it, rather than typing every field into ESP by hand.

A repeatable per-batch routine

1. Cull to the strongest, genuinely distinct frames — drop the near-duplicates.
2. Fix technical issues (spots, noise, halos) before anything else.
3. Write a plain, descriptive title for each file — it also fuels keyword suggestions.
4. Keyword to the controlled vocabulary, specific terms first, ordered by relevance.
5. Attach releases to every file that needs one.
6. Submit the batch and watch the submission-status notifications for rejections to learn from.

The rejection reasons that cost the most

1. Technical quality — noise, softness, over-processing, dust, artefacts.
2. Missing or wrong releases — recognisable people or property without a signed release on a creative file.
3. Visible IP — logos, brands, artwork, recognisable products in creative files.
4. Too similar / duplicate content — near-identical frames submitted as separate files.
5. Invalid keywords — free-text terms that are not in the controlled vocabulary, so the file is accepted but never found.
6. No commercial or editorial value — a technically fine file that no buyer is searching for.

Where PixTagger fits in

Most of this guide is judgment you build with experience. The one step that is pure, repetitive, error-prone labour is the keywording: describing each file, matching every term against Getty's controlled vocabulary, ordering by relevance, and doing it again for every marketplace. That is the step PixTagger automates.

It runs vision AI over each photo or video, generates literal and conceptual keywords, then filters every term through a built-in whitelist of Getty's approved vocabulary before it reaches your export — so no invalid terms slip through. The Getty ESP CSV it produces is import-ready. And when you drop a burst of similar frames from one shoot, its varied-contextmode gives each one a different emphasis so they don't compete — the exact problem this guide warns about.

Sources & further reading

• Getty Images Contributor Community — Preparing Your Content
• Getty Images — Work With Us
• Getty Images Contributor Community — keywording help