In the Weeds with AI: The Index Card Transcription Project

ID: WMA2026_585

Track: Collections

Building on the macro framework of “The AI Stack,” this session dives into the micro-level reality of AI in collections. ASPIRE to clear your backlog! We explore using Google Gemini to transcribe shorthand-heavy legacy index cards and generate structured, searchable metadata. Attendees will analyze hard data on time saved, learn to navigate AI “hallucinations,” and leave with a Digital Alchemist’s Cheat Sheet to accelerate their own digitization and discoverability projects.

Session Information

Format: Regular session/panel (roundtable, single speaker, etc.)

Uniqueness: Serves as the practical, data-backed companion to “The AI Stack” session, offering tested prompt recipes and failure analysis for complex handwritten catalog cards with takeaway cheat-sheet.

Objectives:

As museums ASPIRE to digitize massive legacy collections, handwritten index cards remain a notorious bottleneck. Expanding directly on the strategies discussed in our companion session, “The AI Stack,” this presentation moves into the trenches of a real-world project using Google Gemini. By sharing exact metrics—comparing the hours required for manual entry versus AI-assisted extraction—we demonstrate how AI can fundamentally transform collection management timelines. Furthermore, we will showcase how AI can instantly format these raw transcriptions into structured metadata schemas, vastly improving public discoverability. However, AI is not infallible. Our objective is to equip professionals with the practical skills to guide AI effectively, preventing “helpful hallucinations” and historical erasure. We will walk through the exact tips, techniques, and pitfalls discovered during our state-wide project. Expected Learning Outcomes:

1. Evaluate ROI: Analyze hard data on time saved during large-scale transcription to advocate for AI-assisted digitization.
2. Master Advanced Prompting: Learn the “Golden Formula” for strict data extraction and metadata structuring, ensuring AI correctly parses 19th-century shorthand without guessing. Navigate AI Pitfalls: Identify and correct common generative errors by establishing a mandatory “Human-in-the-Loop” workflow to preserve historical accuracy.

Engagement: We will conduct a “Prompting Autopsy.” The audience will examine a failed AI transcription of a messy, short-hand-filled catalog card. Together, we will diagnose the prompt’s weaknesses and rebuild it live using our “Golden Formula” to achieve perfect data extraction. Attendees will also receive our digital “Prompt Cheat Sheet” to reference during the activity and take back to their institutions.

Relationship to Theme:

Audience

Audiences: Curators/Scientists/Historians Registrars, Collections Managers Technology 

Professional Level: All levels 

Scalability: Every museum, regardless of size, has a backlog of legacy catalog cards or paper ledgers. The prompt formulas and pitfall-avoidance strategies taught here scale perfectly from a solo volunteer processing 50 cards at a local historical society to a state archive processing 50,000.

Participants