Visual cues the AI looks for
You cannot date a painting from a photograph with the precision of radiocarbon testing or dendrochronology, but you can often constrain its age to a range of several decades based on visible surface cues. ArtSleuth's paint freshness analysis scans for:
- Craquelure patterns — the crack network that develops as paint ages and contracts. Spider-web cracks indicate decades to centuries of drying; the absence of cracks suggests recent work or a synthetic medium.
- Varnish yellowing — natural resin varnishes (dammar, mastic) yellow over time; synthetic modern varnishes stay clear. Yellow tone strength is a useful age anchor.
- Surface dirt and discolouration — century-old paintings carry an accumulation of atmospheric dirt that is absent from recent work.
- Pigment characteristics — some pigments weren't invented until the 19th or 20th century. Their presence is a strong lower bound on date.
- Brushwork and technique — broad stylistic clues about period (academic, impressionist, modernist).
- Support (canvas / panel / paper) characteristics visible in the photograph.
What you get
The report returns a bounded age estimate (for example, "mid to late 19th century") plus the specific cues that drove it. That transparency matters — an unexplained date estimate is useless, but a date estimate tied to "no varnish yellowing; modern synthetic binder; crack-free paint film" gives you something to verify.
The age estimate also interacts with the artist identification pass: if the AI has proposed a candidate artist, and the age estimate is inconsistent with that artist's active period, the attribution confidence is automatically downranked and flagged.
What this is not
This pass cannot replace laboratory age-determination. For any painting of material value, the correct next step is dendrochronology (for panel paintings), radiocarbon dating of canvas fibres, or pigment analysis. Those techniques are destructive or semi-destructive and must be performed by a conservation laboratory.
ArtSleuth's age analysis is a preliminary, photograph-only assessment. It tells you whether the painting is plausibly of the age claimed by a seller or label, and whether spending the cost of lab analysis is likely worthwhile.
Estimate the age of your painting
Upload a high-resolution photo and receive an approximate age range — with the specific surface cues that support it.
Upload your artworkFrequently asked questions
How precise is the age estimate?
Typically a range of 30-80 years for older works, and tighter for clearly modern works. It is not lab-grade dating — it's a triage estimate from what a photograph can show.
Can the AI detect artificial ageing?
It flags common artificial-ageing signatures such as uniform craquelure painted on, inconsistent dirt distribution, and varnish yellowing that doesn't match the apparent canvas age. Sophisticated forgery goes beyond what any photograph can catch, and that's why a physical expertise is the final step for high-value works.
Why is this helpful if I already know when it was painted?
Because a contradicting age estimate is a useful check. If a seller claims the painting is from 1850 but the AI strongly reads it as post-1950 (synthetic medium, no varnish yellowing), you now know to ask hard questions before paying.