Repair a broken activity file
Your file never leaves your device — conversion happens here in your browser.
TrainingPeaks is different from a casual activity-sharing platform: it derives pace, power, and training-load numbers directly from the points in your file, so a file that's technically readable but internally messy can still produce metrics you shouldn't trust. A corrupted header is the obvious failure — TrainingPeaks will reject the file outright, usually with a generic error that doesn't say what's actually wrong. The subtler problem is a file that TrainingPeaks accepts without complaint but calculates badly from, because the underlying data has gaps or repeats that a stricter platform would have flagged at the door. Missing timestamps mean TrainingPeaks has to guess at pacing across a gap in your recording, which skews interval and lap calculations. Duplicate points make short stretches of your workout look like you stopped moving, dragging down average pace or power for that segment. Out-of-order timestamps can scramble which points belong to which interval entirely. None of these necessarily stop the upload — they just quietly corrupt the numbers TrainingPeaks builds your training analysis on, which matters a lot more here than on a platform where you're just sharing a route. FitFileHub's repair tool checks a file for exactly these defects — corrupted headers, missing timestamps (interpolated back in), out-of-order timestamps (reordered), duplicate points (removed), and both isolated GPS spikes and sustained implausible-speed segments (removed) — and shows you the full list before making a single change. A file that's already clean is reported as fine, not force-altered. The whole process runs locally in your browser, so a workout file with your training data never touches a server to get fixed. Free for files up to 25 MB, three at a time.
Questions
TrainingPeaks accepted my file but the power numbers look off — why?
TrainingPeaks calculates metrics from the raw points in your file. Duplicate points or timestamp gaps can distort pace and power averages even though the file uploaded without any error.
Why does TrainingPeaks give a generic error with no detail?
That's typically a corrupted or malformed header stopping the parser before it gets far enough to identify the specific problem. FitFileHub's repair tool checks for this and reports it by name.
Does fixing missing timestamps invent data that wasn't there?
It interpolates timestamps between two known-good points using the surrounding spacing, which is standard practice for closing small gaps — it does not fabricate GPS position or effort data.
Can I fix a file and get it back as TCX for TrainingPeaks specifically?
Yes — after repair you can convert the corrected file to TCX, GPX, or another supported format alongside applying the fixes.