AI-assisted Metadata Quality Check: Create a better search experience and foundation for trusted AI insights
Cleanup your metadata up to 10 x faster
We are excited to launch Metadata Quality Check as the latest embedded AI tool in our AI Editions. (AI Editions already include AV Transcription & Captioning, PII detection and OCR image scanning - plus a very high monthly usage allowance).
AI-assisted Metadata clean-up generated a lot of interest in our recent AI workshops – not least because many Archival teams spend hours (even days) every week manually reviewing and correcting metadata from different sources and teams. Wrong spellings. Acronyms. Terminology that varies collection to collection.
With AI-assistance you can now quality-check and standardize metadata across 1000s of assets in minutes – freeing time for higher-value work. And no AI recommendations are applied without your review and approval – so you get the speed of automation and the judgment of human oversight. Cleanup happens faster without sacrificing accuracy and quality.
See it in action
Try it now
If you're already a Preservica customer, metadata quality check is included in your AI Editions free trial, alongside AV transcription and captioning, PII detection, and OCR image scanning. The trial runs through August 31.
Not yet a Preservica customer? See what AI Editions can do for your archive.
Better search and a foundation for trusted AI insights
Having accurate high-quality metadata is essential to both fast reliable search and more trusted AI insights and outcomes. So being able to quickly quality-check and standardize metadata impacts the value of your archive and collections.
Inconsistent metadata does more than create extra work. It undermines findability and the quality of AI insights and summaries that are fast becoming the preferred way for users to explore and uncover new value from curated collections.
Here are a few ways in which consistent, high-quality metadata provides additional context that supports better human and AI interactions:
For researchers and archivists:
- Findability at scale. Without rich metadata, content is effectively invisible, buried in a file structure with no meaningful way to search or browse it.
- Context and provenance. Custodial history, original order, and creator information tell researchers not just what something is, but why it exists and how far to trust it, which is central to archival integrity.
- Cross-collection connections. Standardized metadata, controlled vocabularies, and consistent date formats let archivists link related items across collections and institutions in ways free-text description can't match.
- Format and technical metadata. File format, software dependencies, and fixity checksums aren't just descriptive. They're what makes future migration and rendering possible as formats become obsolete. Without them, discoverable content can become unusable content.
For AI summary and insight:
- Grounding, not guessing. AI models perform better with accurate, structured metadata to anchor against, rather than inferring everything from raw content, especially with degraded scans, or ambiguous formats.
- Reducing hallucination risk. Accurate dates, creator attribution, and subject terms constrain an AI system's output and reduce confidently wrong answers, which matters when getting provenance wrong carries real evidentiary or legal consequences.
- A stronger training and retrieval signal. Metadata that captures relationships between records gives AI systems structural signal that's difficult to derive from content alone.
- Interoperability for AI agents. As more discovery happens through AI agents rather than a person browsing a finding aid, standards-compliant metadata such as Dublin Core, PREMIS, EAD, and METS becomes the interface those agents rely on. Sloppy or missing metadata locks AI systems out of understanding a collection correctly.
Learn more about Preservica AI Editions
Try it now
If you're already a Preservica customer, metadata quality check is included in your AI Editions free trial, alongside AV transcription and captioning, PII detection, and OCR image scanning. The trial runs through August 31.
