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Easier to use thanks to better metadata

Automatic indexing of scans, index cards, finding aids and documents with the Archipanion AI process. Completely automatic or with convenient quality control by specialists.

Book a free 30-minute AI check
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Leading innovative archives, museums and libraries already trust us

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Accessible collections

Make your holdings easier to use with better and more metadata - without a years-long cataloging project.

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Reducing the backlog

The seemingly never-ending backlog, which tends to grow explosively with digital holdings, can be significantly reduced with the new tools. We can also check whether existing and planned cataloging projects can benefit from the new possibilities.

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Expert work instead of typing marathons

Use the expertise of your team for important, demanding work. For the grunt work, there is the computer, which can help even better with the new AI tool.

Our experience helps you to identify the right use cases.

 

Examples from other institutions

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Central Archive of the Evangelical Church of the Palatinate

In just a few weeks, 1548 registry cards were turned into searchable data records.

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Swiss Federal Archives

From 20,000 index cards from the Second World War to digitally searchable historical treasures.
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Bielefeld University Library

Demonstration that great time savings are possible in the cataloging of historical books if one knows how to use the tool AI.

Our joint process in 3 phases

From the initial idea to daily use - we support you with a clear and proven approach. In this way, we ensure that you get exactly the results you need for your work.

Phase 1: Analysis & planning

Goal: We create a common understanding of your sources and goals in order to create a customized plan.

  • Needs analysis: What do you want to achieve with the metadata?

  • Source check: We analyze your digitized or physical holdings (e.g. index cards, documents, finding aids).

  • Digitization check: If not yet digital, we clarify the best way to digitize - internally or with our partners.

  • Quality definition: Together we determine the required quality of the metadata and clarify whether manual corrections should be planned.

  • Feasibility test: If necessary, we carry out initial experiments to validate the feasibility.

Phase 2: Pilot project & validation

Objective: We process a partial dataset so that you can check the quality of the results and gain initial experience with the data.

  • Processing the partial collection: We apply the defined AI process:

    • Preparation: preparation of the scan data for the AI.

    • AI extraction: The metadata is extracted using Large Language Models (LLM).

    • Post-processing: Automatic corrections and formatting.

  • Quality check: You check the results in a convenient interface and can make corrections or additions.

  • Joint evaluation: We analyze the quality of the results and create a concrete plan for the next steps

Phase 3: Scaling & integration

Goal: We apply the process to the entire selected collection and integrate the results seamlessly into your day-to-day work.

  • Obtaining all metadata: The validated process is applied to the entire selected collection.

  • Final quality assurance: final corrections are made in accordance with the defined criteria.

  • Data export: You receive all the metadata obtained in the desired format (e.g. Excel, CSV, XML).

  • Integration: We support you in integrating the new data and tools into your existing systems (e.g. archive information system) and workflows.

  • Future plan: We define how the process can be used for future or continuous indexing.

Does that sound like the right path for you?

Let's find out in a call if and how
your institution can benefit from this process.

Register now for the 30min AI check

Achieving Better Metadata, Faster

Let's combine the hard work of AI with the professional quality of your team

Focus on specialist work

Hand over the hard work to the computer/AI.

AI-based data extraction

AI-supported data extraction: Focus on quality assurance, not manual typing.

Reducing the backlog

Finally have the chance to reduce your backlog with the right AI tools.

Ready for Digital-Born

Efficiently process even huge, digital-born collections.

Focused team

Experts at your side: Our team has been supporting memory institutions for years and understands your challenges.

Independent and integrable

Use the tools independently or integrate them seamlessly into your existing processes.