A blank content cell is flagged
A row with an empty content column is flagged as "content is required and cannot be blank" — the one field every row must have.
Bulk schedule CSV template validator
This bulk schedule CSV template validator checks every row of your CSV against SkedCast's real, production bulk-import schema — the same rules the importer itself enforces — flagging a missing caption, an unrecognised platform key, a malformed URL or an invalid value, row by row, before you ever upload the file. Everything runs in your browser; nothing is sent anywhere.
Include the header row. Nothing you paste is uploaded — validation runs entirely in your browser.
Paste a CSV to see its row-by-row validation results.
How to validate your bulk schedule CSV template
- Paste your CSV text. Copy the full contents of your bulk-import CSV, including its header row, and paste it into the box.
- Review the column check. The tool confirms the required content and platforms columns are present and flags any column name it does not recognise.
- Read the per-row results. Each row is validated against the real schema, so a bad platform key or a malformed link shows exactly which field is wrong.
- Fix the flagged rows. Correct the issues in your spreadsheet, using the field-level messages as your guide, then re-paste to confirm.
- Upload once every row is clean. A file with no flagged rows is ready for SkedCast’s real bulk import, which re-validates it server-side either way.
Worked examples
An unrecognised platform key is flagged
Typing "insta" instead of "instagram" in the platforms column fails validation, since it is not one of the 10 real platform keys the schema accepts.
Bulk schedule CSV template validator FAQ
- What schema does this validator check against?
- The exact production bulk-import schema SkedCast’s own importer enforces server-side, not a simplified or invented copy of it.
- Does it check every column, or just content and platforms?
- It checks all 16 columns — required and optional — including URL formats, boolean fields and hashtag and media limits.
- What does an "unknown column" warning mean?
- It means a header in your file does not match any real bulk-import field, so that column would be ignored on import.
- Does the validator fix my CSV automatically?
- No — it reports exactly what is wrong with each row so you can fix it in your own spreadsheet.
- Is this the same check the real bulk import runs?
- It runs the same schema rules client-side; the server always re-validates the file again at upload time as the final check.
- Does pasting my CSV upload or store it anywhere?
- No. Validation happens entirely in your browser as you paste — nothing is uploaded, logged or saved.
- How is this different from the bulk import readiness checker?
- This tool lists every row-level error in detail; the readiness checker instead gives one aggregate summary of how many rows are ready.
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