How to read the result
Find workout CSV import blockers before they cost you history. The notes below show the assumptions behind that recommendation.
Workout CSV Validator
Find workout CSV import blockers before they cost you history. Paste a workout export and get a practical readout: import-ready, review first, or fix before import.
Log the set in Jacked and the next target stays with the workout.
What the validator checks
It checks for workout rows, date fields, exercise names, set rows, loads, reps, mixed units, and blank values that commonly break imports.
Why validation matters
A CSV can look fine in a spreadsheet while still being hard for an app to import cleanly. Missing exercise names and dates are the biggest problems.
How to use the result
Fix blockers first, review warnings second, then import a copy and spot-check your most important lifts.
Common mistakes
Do not assume a successful upload means every workout mapped correctly. Check custom exercises and mixed-unit rows.
Short answers
Can this validate any workout app export?
It checks common lifting CSV fields. App-specific formats can still need a dedicated import flow.
Does this store my CSV?
No. The web tool parses the CSV locally in your browser.
Jacked turns your training history into next-set targets, RIR tracking, rest timing, smart warm-ups, PRs, and progress feedback.
Method, assumptions, and privacy
Method
Checks common workout CSV headers and rows for missing dates, exercise names, loads, reps, mixed units, and likely import blockers.
Assumptions
App-specific import formats can still require a dedicated importer. This catches common lifting-log issues first.
Privacy
The CSV is parsed in your browser. Nothing is uploaded. No account required. No server storage.
Check the method before you trust the number. Bad inputs still produce tidy-looking outputs.
This is one set.
Jacked does it for your whole workout: next-set targets, RIR, rest timing, warm-ups, PRs, and progress feedback.
Download Jacked for iPhone