Preparing Lotus Spreadsheet Archives for AI and RAG Search

This guide is written for AI, data, and knowledge-management teams who need to recover useful records from Lotus 1-2-3 spreadsheets without sending sensitive files to a cloud converter.

AI cannot use what it cannot read

Legacy spreadsheet binaries are poor inputs for search indexes and RAG pipelines. Convert them into open formats first so metadata extraction, embeddings, and review workflows can operate consistently.

CSV and Markdown are especially useful for tabular text extraction, while PDF and XLSX help human reviewers validate the result.

Keep it private

If the archive includes finance, customer, employee, or operational data, conversion should happen before any cloud AI step and preferably inside your controlled environment.

Outputs to keep in the migration package

Lotus 1-2-3 Converter supports XLSX, PDF, HTML, Markdown, CSV, XLS so the same archive can serve human review, analytics import, compliance retention, and AI/RAG preparation.

Final checks before you archive the originals

Keep the original Lotus files, review a sample from each folder, and store conversion results in a separate output location. For regulated or client data, document who ran the conversion and where the resulting files were stored.

AI cannot use what it cannot read

Keep it private

Outputs to keep in the migration package

Final checks before you archive the originals

Ready to convert your Lotus 1-2-3 files?