Abstract and background images are the hardest files in a portfolio to keyword, because there is nothing in them to name. A photograph of a dog can be described by what it contains. A gradient, an ink bloom or a bokeh wash has to be described by what a designer will do with it — the material, the mood, the layout it will sit behind.
Why literal keywording collapses on abstract work
Most keywording advice, and almost every automatic tagger, starts from object recognition. Name what is in the frame, add a few synonyms, done. That approach works beautifully on a market stall and produces nonsense on a close-up of brushed concrete, where the honest answer to "what is this?" is "grey". The file ends up with four true terms, none of which anyone searches for, and then sits unsold while a visually weaker texture with better metadata takes the download.
The fix is to change the question. Buyers of abstract content are not looking for a subject, they are looking for a surface that solves a layout problem: a slide that needs a background, a banner that needs texture behind a headline, a product page that needs a calm field of colour. Keyword for that intent and the same file suddenly intersects dozens of real searches.
Four questions that replace "what is this?"
The first is what it is made of. Material and technique are concrete, searchable and specific: marble, concrete, paper, linen, watercolour, ink, smoke, glass, metal, bokeh, gradient, mesh, noise. This is the closest thing an abstract file has to a subject, and it belongs near the front of the keyword list.
The second is what it feels like. Mood is why one blue gradient gets licensed for a clinic and another for a nightclub: calm, clean, clinical, premium, luxury, energetic, warm, moody, futuristic, organic. These are conceptual terms, and agencies ask for them deliberately — 123RF's keywording guidance requires conceptual keywords alongside literal ones rather than treating them as optional colour.
The third is where it will be used. Background, backdrop, wallpaper, banner, header, presentation, website, overlay, copy space, negative space, frame, border. For this category these are not vague commercial words, they are the actual search terms. A designer types "blue gradient background copy space" and expects results.
The fourth is colour. In most categories colour keywords are filler; here they are load-bearing, because the image has to sit inside a palette that already exists. Name the dominant colour and its family — teal and blue, terracotta and orange — and stop. Listing every hue in the frame dilutes the set without adding a single realistic match.
The same texture, keyworded two ways
A literal keyword set for a concrete texture names only what the camera saw and matches almost no real search; the reworked set adds material, mood, layout use and a single colour family, which is what buyers of background images actually type.
Notice what did not change between those two sets: the image. The only thing that moved is whether the metadata describes the camera's view or the buyer's problem.
Work inside the limits each agency actually enforces
Abstract files tempt you towards long keyword lists, so the ceilings matter. Shutterstock accepts between 7 and 50 keywords and allows a title of up to 200 characters. 123RF sets a minimum of seven and calls 30 to 50 ideal, treats the comma as the only delimiter so that everything between two commas counts as a single keyword or key phrase, bans dates in keywords, and requires English. Its full keywording rules also close the door behind you: once a file is accepted, the metadata cannot be edited.
That last point changes how much care a texture batch deserves. Abstract files have unusually long commercial lives — a good gradient stays relevant for years, while a phone model or a hairstyle dates a lifestyle shot quickly. Submitting a weak keyword set on a file that cannot be corrected is a decision you live with for the whole of that life.
Order carries more weight than count
Adding a fiftieth keyword rarely changes anything. Changing which keyword sits first often does, because on Adobe Stock the opening keywords carry decisive weight in how a file is ranked. On abstract work that creates a clear priority: put the thing a buyer would type first at the front, not the thing that is most literally true.
A workable order for a background file runs material, then use, then mood, then colour, then the broader category. Concrete, texture, background, copy space, minimal, grey, architecture. The literal description has not been dropped — it has simply stopped being the headline on a file where the headline should be the job it does.
Keywording a texture batch in five passes
A five-pass routine for abstract and background batches: sort by material, write the use terms, add mood, add one colour family, then order the set so the material and the layout use sit in front, within each agency's keyword ceiling.
Grouping by material rather than by shoot date is the step that makes this economical. A hundred concrete frames share perhaps thirty keywords, so the real work is done once per group and reviewed once per file, instead of being reinvented a hundred times.
The filler-word trap is worst in this category
When a file has no subject, the temptation is to fill the gap with adjectives. Stunning, beautiful, amazing, perfect. Pond5 names exactly that kind of word as unwanted in contributor metadata, and the reason generalises across platforms: those words describe your opinion rather than any attribute a buyer can filter on. Nobody has ever searched for a stunning background.
The same applies to terms that are true of the whole library. Photo, image, picture, high resolution, wallpaper in the sense of "a digital file". A keyword only has value if it excludes something. If it is true of every file on the platform, it narrows nothing and takes a slot that a material or a use term could have had.
Which tools actually help on abstract files
This is the category where automatic tagging is weakest, because recognition models are built to name objects and an abstract frame has none. That does not make tooling useless — it changes what you should expect from it. A short, fair summary follows; the longer tool comparison for abstract and background work goes deeper on delivery and pricing.
Agency-native keyword suggestions
Best for: a free sanity check inside the upload form you are already using. The suggestions cost nothing and sometimes surface a material term you missed. The limitation is structural — they lean literal, so on a gradient they tend to return colour and shape words rather than the layout and mood terms that actually sell the file. Treat them as a starting list to edit, never as a finished set.
Xpiks
Best for: contributors who want to do the thinking themselves and want a fast editor to do it in. Xpiks is a desktop application with genuine strengths for this category — bulk editing, keyword presets you can reuse across a material group, and plugins. Its own pricing page lists a free Basic tier limited to 15 files per session with unlimited sessions, Pro at a one-time €49 covering a year of unlimited files, and Pro+ at €99 a year with all plugins and 48 GB of cloud upload at 4 GB a month, plus a 14-day Pro+ trial with no card required. Main limitation: it speeds up your judgement rather than supplying any, which on abstract work is the part that takes the time.
StockSubmitter
Best for: contributors whose problem is breadth of distribution rather than keyword quality. Its long-standing strength is the number of agencies it can submit to and the amount of per-agency detail it exposes. Pricing is a licence you buy for the desktop application rather than a per-file charge; the vendor's own page is the place to confirm current terms. Main limitation for abstract work: the metadata you send is the metadata you wrote, so it solves the delivery half and leaves the keywording half with you.
Managed pipelines such as Wirestock and Blackbox
Best for: contributors who would rather hand the whole chain over. The genuine advantage is that keywording, submission and multi-agency distribution happen without you, which for a large texture archive is a real amount of work removed. The trade-off is the pricing model: these services are built around a share of royalties rather than a flat fee, so the cost scales with success and continues for as long as the files sell. Confirm the current share on the vendor's own terms page before committing an archive.
PhotoTag.ai
Best for: pure tagging when delivery is already solved. It is a focused tool that generates titles, descriptions and keywords, sold as credit packs rather than as a subscription in the usual sense. Main limitation: it stops at metadata — there is no FTP delivery or per-agency policy layer — so it fits contributors who upload through agency forms and only want the writing accelerated.
Rastock.ai
Best for: contributors who want the metadata and the distribution in one pass, with per-platform rules applied rather than ignored. It generates titles, descriptions and keywords, checks them against each platform's banned and mandatory keyword policy, and delivers to more than ten agencies over FTP or SFTP with per-agency status tracking and rollback. There is no revenue share and no ownership claim, and IPTC and CSV export stay open. Main limitation, stated honestly: on abstract files no generator can read intent off the pixels, so the mood and layout terms still need a human pass — what the tool removes is the repetitive work around that pass, not the pass itself.
When to use which
Under a few hundred abstract files on one or two agencies, use the agency form and the native suggestions, and spend the saved money on nothing. The volume does not justify tooling, and the keywording decisions are the only thing that moves the result anyway.
Between a few hundred and a few thousand, and on three or more agencies, the mapping problem becomes the bottleneck rather than the writing: different keyword ceilings, different field names, different delivery routes. That is where a desktop editor like Xpiks or a metadata-plus-delivery tool earns its cost. Choose a managed pipeline only if you would genuinely rather pay a share of future royalties than spend the hours — for a texture archive with a long life, that share compounds.
Whichever route you take, the sequence is the same: group by material, write for the layout job, add one layer of mood and one colour family, order the set so the useful terms sit first, and respect the ceiling. If you want to test the tooling half of that against a real batch, Rastock.ai runs a 14-day free trial with no card required, so the cost can be weighed against your own numbers rather than against a promise.
Frequently asked questions
How many keywords should an abstract background have?
Work to the agency's own range rather than a universal number. 123RF requires a minimum of seven keywords and describes 30 to 50 as ideal; Shutterstock accepts 7 to 50. For abstract work, the useful target sits in the upper half of that band, because a texture genuinely matches more use cases than a portrait does. Stop when terms stop being true.
Should I put colours in the keywords of an abstract image?
Yes, and this is one of the few categories where colour terms genuinely earn their place. Designers searching for a background frequently search by colour because the image has to sit inside an existing palette. Name the dominant colour and the family it belongs to, such as teal and blue, but do not list every hue visible in the frame.
Is copy space worth adding as a keyword?
For background and abstract files it is one of the most valuable terms you can add. Copy space describes what the buyer needs the image to do, which is hold text without competing with it. Related terms such as negative space and background work the same way. Only use them when the frame really does leave usable empty area.
Do conceptual keywords apply to images with no subject?
They apply more, not less. 123RF's keywording guidance explicitly asks for conceptual terms alongside literal ones, and on an abstract file the concept is often all there is: calm, growth, technology, luxury. The test is whether a buyer could plausibly use this image to illustrate that idea. If not, the term is padding.
Can I fix the keywords on an abstract file later?
That depends on the agency, and on 123RF you cannot. Metadata is locked once a file is accepted, so the keyword set it was submitted with is the one it sells on permanently. Other platforms allow edits. Because abstract files have long commercial lives, it is worth treating the first keyword set as final everywhere.
Are words like stunning and beautiful useful on abstract images?
No. They describe your opinion of the image rather than anything a buyer can search for, and some agencies treat them as filler that should not appear in metadata at all. Pond5 names that kind of adjective as unwanted in titles and keywords. Replace each one with a material, a mood or a use.