Across archaeology and cultural heritage, photography remains one of the most widely used tools for documenting material culture.
Yet despite its ubiquity, there is still little visual standardisation in the way artefacts are photographed.
From excavation reports to museum databases, images are often produced under widely varying conditions — with inconsistent lighting, angles, backgrounds, scale references, and metadata.
While initiatives such as FADGI (2023) and Metamorfoze (2012) have established important standards for digitising books, manuscripts, and archival materials, their application to archaeological artefacts remains limited.
As a result, images of artefacts are often visually isolated: they document individual objects, but rarely support meaningful comparison across collections, institutions, or research contexts.
PHOTARCH establishes a standardised photographic methodology and digital framework for documenting archaeological artefacts, enabling images to function not only as illustrations, but as structured visual data.
By applying consistent imaging principles across collections, PHOTARCH seeks to create a coherent visual dataset of artefacts that supports long-term research, cross-collection comparison, and future computational analysis of cultural heritage.
PHOTARCH — short for Photography of Archaeology — is a photographic method, developed through fieldwork and collaboration with museums, researchers, and heritage institutions. It is not an imaging system you are asked to adopt in place of your own.
The method is free to follow with a camera, a lamp and a ruler, and the file format it writes is published openly so that any program may read or write it. Three pieces of software exist to save you doing it by hand: PHOTARCH Desktop, where a photograph is measured, validated and exported; PHOTARCH Capture for iPhone, which sends photographs to the desktop as they are taken; and the archive at app.photarch.com, where an object can be published, compared at true scale and cited.
The method establishes a repeatable workflow for artefact photography based on six key principles.
A single key light at a fixed angle (typically 45°) combined with neutral fill light ensures consistent modelling of surface form and shadow.
A pure white base allows clean separation of the object while preserving natural shadow depth and enabling histogram-based exposure control.
Camera positions are named on a sphere rather than chosen from a list: U for the plumb view straight down, D for the underside, F, B, L and R for the four sides, and DFL, DFR, DBL and DBR for the diagonals looking down at 45°. The object is turned on the board; the lamp never moves. Each picture therefore carries both its position and the light that position gives.
ICC profiles and calibrated colour targets ensure reliable colour reproduction across different cameras and lighting conditions.
Every exported file carries its own documentation: Dublin Core, IPTC and PHOTARCH's own fields as XMP, the measurement as Image Scale Metadata, and a signed C2PA manifest saying how the picture was made and what one pixel covers on the object. The file can be read, measured and trusted wherever it ends up, without asking the archive.
The method is equipment-agnostic and scalable, and can be implemented using mirrorless, DSLR, or medium format camera systems.
The lack of consistency in artefact photography is not merely an aesthetic issue.
It affects the scientific usability of images.
Photographs that lack scale, show ambiguous colour information, or present objects from undocumented angles cannot be reliably compared or integrated across studies.
PHOTARCH approaches photographic documentation as data generation rather than illustration.
By producing images under controlled and repeatable conditions, the method creates visual records that can be compared directly across collections and time.
In the long term, PHOTARCH aims to contribute to the development of a machine-readable visual dataset for archaeological artefacts — a resource that could support visual comparison, large-scale studies of ornament and form, and future AI-assisted analysis of archaeological material.
Beyond a photographic method, PHOTARCH is developing a standardised visual reference dataset for archaeological artefacts. The long-term goal is to establish the first machine-readable image dataset of archaeological artefacts — a resource that could support:
visual comparison between collections
large-scale studies of ornament and form
reproducible documentation of artefacts
computational analysis of archaeological material
Because all images are produced under controlled and repeatable conditions, the PHOTARCH dataset has the potential to become a reference resource for researchers and digital heritage initiatives.
PHOTARCH has been developed in collaboration with institutions including Lund University Historical Museum, Moesgaard Museum, and Kalmar County Museum.
More than 1,000 artefacts from Bronze Age, Iron Age, and Early Medieval contexts have been photographed using the method. That is the count of objects photographed to the standard; the number published in the open archive is smaller and grows as institutions release their material.
The project received support from Fujifilm through the 2022 Challenge Grant.
The work has been presented internationally at conferences including the 2and3D Photography Conference at the Rijksmuseum and the European Association of Archaeologists Annual Meeting.
Images produced using the method have also appeared in publications including National Geographic, BBC, and The New York Times.
PHOTARCH workshops and advisory sessions are offered for museums, researchers, and heritage institutions interested in implementing a consistent photographic standard for artefact documentation.
Instructional videos and training resources are currently in development.
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