Archaeological Excavation Services · Post-excavation analysis, reporting, and archiving

AI Finds Catalogue and Illustration Selection for Archaeology Reports

Focused AI use case guiding finds catalogue and illustration selection from cataloguing to plate captions across post-excavation reporting and archiving.

By Suhas BhairavUpdated 4 min read

AssetGeophysical survey, remote sensing, and prospection
AssetTrenches, sections, features, and excavation methods
AssetContext sheets, plans, survey, and photogrammetry
AssetFinds, environmental samples, and on-site processing
AssetPlant, spoil, shoring, and site equipment
AssetSite welfare, fencing, dewatering, and set-up
AssetTrench safety, buried services, contamination, and UXO
BusinessPlanning conditions, WSIs, and heritage consent
BusinessPost-excavation analysis, reporting, and archiving
BusinessTendering, clients, and project delivery
BusinessField teams, training, and professional standards
1metal filing cabinet2digital asset management server3photo lightbox4plates binder5captioning workstation6caption template sheet

The short answer

Finds catalogue and illustration selection for archaeology reports uses AI to read finds metadata, select suitable illustrations and plates, generate captions, and ensure consistency across report sections, while preserving provenance and HER alignment. It stays with people: finds supervisor, archivist, and reporting officer.

Who it's for: Project managers, site supervisors, finds specialists, and post-excavation managers.

Why it matters

Without it, miscatalogued finds, missing illustrations, inconsistent captions, and fragmented reporting slow post-excavation assessment and archive deposition, creating backlogs and potential non-compliance with HER and CIfA standards.

From design to safety

  1. Design

    AI-assisted selection criteria setup

    The system reads the written scheme of investigation, project brief, and HER requirements to define catalogue fields, plate types, and caption standards before field data collection begins, ensuring alignment with existing HER entries and context numbering conventions, with an auditable trail of versioning and stakeholder approvals.

    • plate rack
    • caption template sheet
    • digital asset management server
  2. Build

    Data and asset integration

    It ingests context sheets, finds records, and reference images, mapping them to planned plates and establishing initial illustration pipelines for post-excavation, including cross-references to Harris matrix and context plan layers, plus preservation of physical and digital provenance logs in the archive.

    • metal filing cabinet
    • photo lightbox
    • caption template sheet
  3. Operation

    Live selection and captioning

    The AI recommends plates and captions as finds are processed, cross-checks metadata accuracy, and aligns outputs with agreed plate counts and illustrative formats, flagging discrepancies to the finds supervisor for review, and tagging anomalies for curator scrutiny.

    • photo lightbox
    • plates binder
    • digital asset management server
  4. Maintenance

    Asset quality and metadata curation

    Ongoing calibration of image quality checks, caption terminology, and provenance tagging ensures long-term searchability and compliance with archiving standards, including periodic audits of plate types against project specs and updated thesauri for terminology.

    • captioning workstation
    • plate rack
    • digital asset management server
  5. Safety

    Integrity and archive readiness

    The system flags incomplete records, potential copyright concerns, and misaligned captions, triggering QA by the archivist before archive deposition, with final sign-off by the HER officer on metadata integrity and deposit readiness.

    • metal filing cabinet
    • digital asset management server
    • caption template sheet

Part by part

  1. 1

    metal filing cabinet

    Watch for
    misfiled or lost finds entries with incorrect context numbers or catalog codes, risking misassociation of finds within a context or feature
    AI action
    auto-flag mismatches and route to cataloguer for correction ensuring traceability to context sheets and Harris matrix
  2. 2

    digital asset management server

    Watch for
    duplicate asset IDs or missing provenance fields in metadata
    AI action
    auto-deduplicate and populate missing fields from linked context sheets with revision logs
  3. 3

    photo lightbox

    Watch for
    photos lacking scale, lighting, or correct orientation
    AI action
    prompt photographer to reshoot or auto-correct metadata in system with prioritised plate types
  4. 4

    plates binder

    Watch for
    plates without plate number or plate type
    AI action
    assign plate IDs and generate draft captions template with cross-links to context
  5. 5

    captioning workstation

    Watch for
    inconsistent terminology across captions
    AI action
    standardize vocabulary and suggest uniform phrasing for captions with HER-compliant language
  6. 6

    caption template sheet

    Watch for
    missing required caption fields (plate number, object, material, interpretation)
    AI action
    auto-fill with prompts and flag gaps for curator approval ensuring cross-reference to plates and context

Worked example

Site 12A post-excavation finds and illustration workflow

Illustrative scenario with sample data.

A 4 ha development-led site requires coherent finds catalogue and illustration pack for the post-excavation assessment and HER submission.

Signal in

context sheets: Ctx-12A-001 to Ctx-12A-050; finds IDs F-001 to F-420; plate types: planchette, section plate, illustrative plate; metadata: date, findspot, object type, material; sample: 20 environmental plates.

System out

draft catalogue entries for 420 finds; 150 plates allocated; captions drafted for 120 plates; report-ready illustration pack linked to HER submission.

Human sign-off: Post-excavation manager and HER officer approve the final illustration set and archive deposition plan.

How to roll it out

  1. Phase 1

    Weeks 1 to 4

    Baseline setup of asset management, plate templates, and captioning rules in the project library.

  2. Phase 2

    Weeks 5 to 8

    Data ingestion pipelines and initial automated checks on finds and images integrated with the WSI and HER requirements.

  3. Phase 3

    Weeks 9 to 12

    Live production of catalogue and plates with QA reviews by archivist and reporting officer.

Where people stay in charge

  • Final captions, plate selections, and attribution decisions must be signed off by the archivist or HER officer to assure provenance.
  • All asset outputs must be traceable to linked context sheets and supported by an auditable change log.
  • Copyright, reuse rights, and archival deposit approvals require sign-off from the curator and client heritage consultant before public dissemination.

Questions owners and crews ask

What is AI doing in post-excavation finds and illustration selection?

AI reads finds metadata, aligns with plate types, selects applicable illustrations, and drafts captions. Final approval rests with the archivist and HER officer.

How does AI handle inconsistent captions across reports?

It analyzes terminology, flags inconsistencies, and suggests standardized wording for curator and reporting officer approval.

Can the system work with legacy archive formats?

Yes, it maps legacy records to current schema, preserves provenance, and routes any ambiguities to the archivist for resolution.

Who signs off the final illustrated post-excavation report?

The archivist with the client’s heritage consultant signs off the final archive deposition and reporting package.

Sources and further reading

  1. CIfA: Standards and GuidanceStandards and guidance covering finds, archives, and reporting practice for archaeological projects in the UK.
  2. Archaeology Data ServiceDigital archive deposition guidance, data standards, and OASIS records for depositing archaeological project data.

Work with Suhas Bhairav

Let's find where AI pays back on your excavation sites.

Archaeology units, heritage consultants, and developers bring me the problem that keeps costing them programme delays, post-excavation backlogs, or curator queries. We map it to one system you can ship.

  • A 30-minute working call, not a pitch
  • You leave knowing the first system worth building
  • Built around the systems, records, and people you already have