Getty / iStock

Getty Keywords Generator

Generate one shared Getty Images/iStock ESP metadata draft with a literal title, factual description, and locally vocabulary-matched keyword candidates before you export.

Eligible new accounts receive 10 free credits. Continue with monthly credit plans or non-expiring one-time credits.

Shared Getty/iStock ESP profile
Factual description
Vocabulary-matched candidates
Getty keywords

Which Getty keywords this tool writes

This tool writes contributor keywords for Getty Images and iStock: the terms attached to the photos, videos, and illustrations you submit, chosen from Getty's controlled vocabulary. It does not cover the Getty Research Institute's vocabularies for art, architecture, and place names (AAT, ULAN, TGN), which are separate reference databases.

30-second demo

30-second Getty/iStock metadata demo

Upload one image and preview a Getty/iStock title, description, and locally matched keyword draft before signup.

30-second demo
Metadata mode

Run one shared Getty/iStock ESP pass with a literal title, factual description, and locally vocabulary-matched keyword candidates.

Drag and drop an image here
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One secure demo every 24 hours, per user.
Ready when you are0%
Upload one image preview
Generate Getty/iStock title, description, and keywords
Review literal wording and refine meanings in ESP
Continue into metadata export when ready
Live outputGetty/iStock metadata
Drag and drop an image here, or click to browse.
Upload one image for the secure demo.Sign in: eligible new accounts get 10 free credits, then continue with Stocktag-managed AI throughout the workflow.
Metadata field system

Getty Images and iStock metadata, prepared separately

Generate a literal title, a factual description, and keyword candidates matched to a local copy of Getty's controlled vocabulary, then review them before the authenticated ESP handoff.

TitleColorful vegan grain bowl with fresh vegetables on table

Shared Getty/iStock ESP profile

DescriptionTop view of colorful vegan grain bowl with chickpeas, avocado, shredded carrot, purple cabbage, and greens on table, healthy eating concept.

Factual description

KeywordsFood, Healthy Eating, Healthy Lifestyle, Ingredient, Freshness, Vegetable

Vocabulary-matched candidates

Minimum5
Maximum50
Current15
Range statusWithin range
Sample output

Preview a real metadata set

Review the output structure before exporting or editing.

Metadata snapshot

15 locally vocabulary-matched candidates generated
Vegan buddha bowl on table
Real sample image from the Metadata Studio demo library
TitleColorful vegan grain bowl with fresh vegetables on table
DescriptionTop view of colorful vegan grain bowl with chickpeas, avocado, shredded carrot, purple cabbage, and greens on table, healthy eating concept.
PlatformsGetty Images, iStock
Keyword ruleLocal match, then live ESP refinement
WorkflowSeparate Getty/iStock pass before export
Keywords
FoodHealthy EatingHealthy LifestyleIngredientFreshnessVegetableFood and DrinkTableLunchHomemadeIndoorsPreparationOrange ColorGreen ColorRecipe
  • Keep only terms the image clearly supports, then resolve current Getty vocabulary meanings in authenticated ESP before submission.

CSV preview

Ready to export
filename,title,description,keywords
Ultrarealistic_stock_photo_2k_202602051703_2.webp,Colorful vegan grain bowl with fresh vegetables on table,"Top view of colorful vegan grain bowl with chickpeas, avocado, shredded carrot, purple cabbage, and greens on table, healthy eating concept.",Food; Healthy Eating; Healthy Lifestyle; Ingredient; Freshness; Vegetable; Food and Drink; Table; Lunch; Homemade; Indoors; Preparation; Orange Color; Green Color; Recipe
Relevance snapshot
Food
97%
Healthy Eating
95%
Ingredient
92%
Vegetable
89%
Freshness
86%
Best fit

Who it is for

The contributors and teams this workflow helps most.

Best fitGetty Images and iStock contributors

Best for contributors who want Getty/iStock-specific keywords instead of a generic stock keyword list.

Best fitMixed-agency portfolios

Useful when the same upload also goes to Adobe Stock or Shutterstock but Getty/iStock still needs its own review pass.

Best fitTeams reviewing vocabulary manually

Stronger when your process includes a manual contributor review step before final submission.

How it works

Tips for cleaner stock metadata

Practical checks for your files, from the first draft to export.

Run a separate Getty/iStock metadata pass

Getty Images and iStock contributors usually need a more literal title, a factual description, and keywords that stay inside a controlled vocabulary. Stocktag mirrors that workflow with a separate Getty/iStock metadata pass instead of reusing generic stock output.

The goal is not to promise blind one-click approval. The goal is to generate a stronger Getty/iStock-specific draft that you can review, trim, and connect to the rest of your contributor workflow.

  • Generate Getty/iStock title, description, and keywords with AI
  • Review literal wording before export
  • Finish controlled-vocabulary lookup and meaning refinement in authenticated ESP

Useful when Getty/iStock needs its own review pass

Many contributors publish the same asset across Getty Images, iStock, Adobe Stock, and Shutterstock. Getty/iStock mode keeps its literal-wording and vocabulary rules separate while still connecting to the broader stock keyword and metadata workflow.

When the workflow expands beyond Getty/iStock, continue into the full metadata generator or stock photo tag generator without changing tools.

  • Use Getty/iStock-specific wording first, then broader metadata when needed
  • Controlled vocabulary beats vague filler
  • Supports reviewed contributor handoff to authenticated ESP

What the Getty/iStock export contains

Keyword candidates are matched against a local snapshot of 2,667 Getty vocabulary terms. You choose 5 to 50 keywords per file (25 by default), then confirm current meanings in ESP, where Getty keeps its complete, up-to-date vocabulary.

The Getty Images and iStock CSV presets pick the ESP column profile each file needs: creative image, editorial image, creative video, or creative illustration. Created date and country are filled only when there is clear evidence for them; otherwise they stay blank for you to complete.

  • Creative image: file name, created date, description, country, brief code, title, keywords
  • Editorial image: file name, created date, description, country, title, personalities, keywords
  • Creative video: file name, keywords, description, title, country, poster timecode
  • Creative illustration: file name, description, country, title, keywords, color
FAQ

Answers to common questions

Quick details before you try the demo.

Is this only for Getty Images?

It is built for Getty Images and iStock contributor workflows, especially when you want a dedicated metadata pass before moving into broader stock generation.

Does this guarantee exact Getty controlled vocabulary?

No. Getty's complete current vocabulary and meaning refinements require an authenticated ESP lookup. This tool produces a constrained, locally matched candidate draft that you must refine and verify in ESP before submission.

Can I export after reviewing the keywords?

Yes. After signup you can export the reviewed candidate draft through the matching CSV profile. Complete required trusted fields plus current vocabulary lookup and meaning refinement in authenticated ESP before submission.

Why use a Getty/iStock-specific tool instead of a general keyword generator?

Getty Images and iStock expect literal titles and keywords from their controlled vocabulary. A general cross-platform list often includes conceptual terms outside that vocabulary, so Getty/iStock mode matches candidates against a local vocabulary snapshot before you refine them in ESP.

Does this guarantee Getty Images or iStock approval?

No. The workflow is review-first. It helps you generate a better Getty/iStock draft, but you still need to review literal wording, controlled vocabulary, and export choices before submission.

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