AI in Libraries, Archives and Cultural Heritage

Libraries and museums hold vast collections that are hard to search and often fragile. AI is opening them up.

• Handwriting and print recognition: transcribing old documents so they can be searched.
• Cataloguing and metadata: suggesting subjects, dates and descriptions.
• Image analysis: identifying objects, places and people in photographs (with care).
• Translation and language support for multilingual collections.
• Better search: finding items by meaning, not just keywords.
• Restoration: cleaning scans, colourising and repairing damage.
• Summaries and guides for visitors and researchers.
• Accessibility: audio descriptions and plain-language versions.

• Hidden collections become discoverable.
• Researchers save months of manual transcription.
• More people can access heritage from anywhere.

• Accuracy: machine transcriptions and descriptions need review and clear labelling.
• Context and bias: historic records may contain outdated or offensive language and perspectives.
• Privacy and ethics: personal data in archives and cultural sensitivities.
• Provenance and rights: who owns the collection and its digital copies?
• Honesty about restoration: AI-colourised or reconstructed images are interpretations, not originals.
• Community involvement: especially for Indigenous and community-held heritage.

You can use AI to transcribe old letters, organise photos and summarise records. Keep the originals, and double-check names and dates.

AI helps heritage institutions unlock their collections. Human experts keep the context, ethics and trust.