Crossary helps integration and migration teams turn source and target specification documents into reviewed, implementation-ready data-mapping workbooks. Upload both sides' specs — Excel, PDF, CSV, JSON, XML, XSD, SQL, or YAML — and Crossary extracts a field inventory from each, then proposes a source-to-target mapping for every target field.

Every proposed row shows its work: the proposed source, the mapping type, the verbatim quote from your documents it is based on, the reasoning and assumptions behind it, and the AI's self-rated confidence — a triage cue, not a guarantee. When nothing fits, Crossary abstains instead of guessing: the row becomes an honest gap with a clarifying question, because a wrong mapping is worse than an honest gap.

You stay in control. Review, edit, accept, or reject each row, then run validation — a deterministic check of structure and key semantics (type compatibility, source-field references, cardinality); it is not a full correctness sign-off. Export is a signed .xlsx workbook, not a locked app view: hand it to a developer or a client, edit it in Excel, Google Sheets, or Numbers, then re-import it. Crossary applies what matched, skips rows that moved underneath you, and turns every reviewer note into a tracked question — it never silently overwrites a decision.

Approved mappings feed Mapping Memory, a private, workspace-scoped library that gap-fills future runs — suggestions only, never auto-applied, and it never trains a shared model. Crossary maps the spec, not the data, so in most cases there is no need to upload production records or PII.

Built for integration and interface engineers, implementation consultants, data and migration engineers, and EDI analysts. Start free: 3 integration credits, no card.