How to export Strong workout data into a usable training archive
Find Strong’s CSV export on Android or iOS, inspect exercises and units, preserve the original file and understand the difference between export and migration.
Archive: Updated Sep 20, 2026

The short answer
How do you export Strong workout data?
Open Strong’s in-app Settings. On iOS, choose Export Strong Data; on Android, choose Export Data. Save the generated CSV and inspect it in a spreadsheet. Strong explicitly says this export cannot be imported back into Strong. Treat it as a portable record, not a restorable backup of the app.
Keep the archive task small: export, save, check one familiar session. Do that before rebuilding routines in a new app.
A training log earns its value over time. The goal is to preserve enough detail to understand past sessions, without turning a straightforward export into a weekend of spreadsheet cleanup.
Where do you find Strong’s export?
Strong documents a spreadsheet-friendly CSV export in its official help center. The control name differs between platforms.
| Platform | Route |
|---|---|
| iOS | Settings → Export Strong Data |
| Android | Settings → Export Data |
- Open the export control for your platform.
- Save the generated file to a folder or private storage location you can find again.
- Keep an untouched copy with the export date in its filename.
- Open a working copy in your preferred spreadsheet program.
Do not stop at seeing a share sheet. Complete the save and then find the file outside Strong. If a storage or email app handled the transfer, confirm the attachment or upload actually arrived.
How do you check that the archive is useful?
Choose a session you remember and compare its exercises and recorded sets with the app. Check the date, repetitions and weight convention. The archive is useful only if you can understand what each value represents.
Do not count spreadsheet rows as workouts until you know the file structure. Several rows may belong to one session. Read the headers and inspect repeated dates or session names before constructing a weekly total.
Units deserve a deliberate check. If you changed between pounds and kilograms, or recorded dumbbells using a particular convention, keep a note with the archive. A spreadsheet cannot infer the meaning of a number from how heavy the exercise sounds.
Check any notes you depend on. If a detail does not appear in your file, do not assume a destination app can recover it. Preserve important context separately while the original record is still available.
What needs cleaning before you make a chart?
Usually less than you think. Start with the date field, exercise names and the units needed for one question. Leave the rest alone until there is a reason to change it.
| Issue | Practical handling |
|---|---|
| Dates interpreted incorrectly | Import the date format deliberately before sorting |
| Similar exercise names | Keep a mapping rather than overwriting names blindly |
| Different load conventions | Document the convention before comparing values |
| Missing notes or values | Leave the gap visible instead of inventing a value |
For an exercise trend, keep the movement comparable. A machine press and a free-weight press are not the same measurement simply because both contain “press.” A renamed exercise may be the same movement, but that needs your confirmation.
One clear chart can be enough. If your question is whether you trained regularly, session dates may answer it without calculating every possible volume statistic.
Can you restore Strong from the CSV?
Strong explicitly states that its exported file cannot be imported back into Strong. That makes the distinction between an archive and a backup important. Do not delete the original account on the assumption that the CSV can rebuild it.
Another app may support a particular Strong import, but that support must be confirmed in the destination. Check the accepted format and what it excludes. Templates, exercise mappings and charts do not automatically follow the session rows.
Moodwell does not currently import Strong CSV files. You can keep your old record and begin new sessions separately. There is no need to recreate every historic set merely to test whether a new workout screen suits you.
What is the smallest useful next step?
Recreate one current routine in the app you are evaluating. Use it for an ordinary session. Test a weight edit, an exercise substitution and a return visit to the saved summary. Those steps tell you whether the next month will be easier.
Keep the original archive accessible and mark the date you began the new record. That gives you a clean boundary when comparing history across tools. A discontinuity in the software does not erase the work you did.
If the new workflow is useful, add the next routine. If it adds friction, keep the existing log. The export still did its job by giving you a separate record.
For the app decision, read Hevy vs Strong vs Fitbod. For the recording habit, see how to log workouts. Start with the session you actually plan to do.
Follow the evidence
Sources & further reading
Product features and offers can change. Check the linked source for its current details.
This launch collection uses assigned archive dates from June to September 2026. First published Sep 20, 2026. Updated Sep 20, 2026. How we write and date articles.
A little more context
Questions, answered
Is the export control the same on Android and iOS?
Strong documents Export Data on Android and Export Strong Data on iOS, both in Settings. If your version differs, use the current Strong help center rather than a third-party screenshot from an older release.
Can I import the CSV back into Strong?
No. Strong’s export documentation explicitly says the file cannot be imported back. Keep your original account and record until you understand the consequences of any deletion.
Why does the file have more rows than workouts?
Inspect the structure before counting. A session can contain multiple records, so a row count need not equal a workout count. Use the session identifiers or dates in the actual file and check a familiar example.
Can I upload the Strong file to Moodwell?
Moodwell has no current Strong importer. Save the file as a separate training archive and evaluate Moodwell with a current routine before deciding to begin a new record there.


