Leo: AI Document Transcription & Research Workspace

Leo — AI Document Transcription & Research Workspace

Product context

Leo is an AI-enabled workspace for historians, archivists, and researchers working with difficult handwritten and printed documents. The public product combines document viewing, transcription, collection organization, search, analysis, and export in a single research workflow.

The product challenge

A useful transcription product must do more than return text. Researchers need to compare the result with the original page, move through multi-page collections, preserve useful metadata, search previous work, and export material without losing context. The interface also has to remain approachable for users who may not work with technical tools every day.

Product approach

The experience keeps the source document and its transcription together, supports organized collections, and makes AI-assisted analysis part of a wider workflow. Public product features include transcription for challenging historical handwriting, folder-based organization, advanced search, summaries and extraction, and export to common research formats.

Relevant contribution

My portfolio contribution relates to full-stack SaaS work and AI-enabled document workflows: connecting application interfaces, backend services, data handling, and model-driven features into a usable product experience. This presentation focuses on the parts relevant to that engineering work and does not imply sole authorship of the wider platform.

What the walkthrough shows

• A focused entry point for archival research • Upload and transcription workflow • Side-by-side source and transcription review • Collection organization and searchable research • A responsive SaaS interface built around real user tasks

Live product: https://www.tryleo.ai/ Public demo: https://www.tryleo.ai/share/8336424d-d98d-4891-8583-96421db90fbf