XML in Data Transformer
We are evaluating XML import, preview and conversion in the same local workflow already used for CSV and JSON.
See what we are working on, vote on candidate initiatives and clearly distinguish community suggestions from Seeft initiatives.
We are evaluating XML import, preview and conversion in the same local workflow already used for CSV and JSON.
Validate JSON documents against a schema, with readable errors and precise field paths.
Background processing, progress and cancellation to make local work on large files more reliable.
Add Excel support to Data Transformer while keeping previews, manual operations and local data processing.
Faster search, renaming and management of saved configurations directly from the account area.
We are measuring saves, reuses and returning users to decide which persistent features to build next.
Categories, search and contextual paths make it easier to find the right tool without scanning a flat list.
An immediate overview of types, missing values, duplicates and anomalies before transforming a dataset.
Before applying a saved transformation to a new file, we flag required columns that are missing and any new columns.
Preview, filters, replacements, columns, dates, deduplication and export in one free local workflow.
Signed-in users can save a configuration and apply it again without rebuilding every step.
Converters, viewer, validator, mapper and data comparison connect quick operations to Data Transformer.
From Base64 encoding to Regex, Cron, JWT, XML and SQL: quick tools that run in the browser.
Add multiple work ranges, exclude lunch breaks and calculate when to leave based on your target hours.
Inspect and edit HL7 pipe messages field by field, including repetitions, components, subcomponents and labels from HL7 v2.5 tables.
Replaces personal data in selected PID fields and doctor details in PV1-7 with REDACTED or realistic fictional data while leaving other fields unchanged.
Generate sample HL7 v2 ADT, QBP, RSP, ORM and ORU messages with fictional data and event-specific segments.
Create IN clauses from numbers or text separated by lines and commas, with numeric validation and apostrophe escaping.
Download a shareable HTML report with the summary, added and removed rows, and every changed field.