RVC Voice Model Recovery: Recover Deleted .pth and FAISS Files
RVC voice model recovery is possible in most cases because deleting a .pth file does not immediately erase it — the data remains on the drive until overwritten. RVC (Retrieval-based Voice Conversion) models are trained over hours and stored as .pth weight files and .index (FAISS) files. Losing these files means losing the entire voice model unless recovery is performed quickly.
Part 1. What RVC Files Are at Risk
An RVC voice model project consists of several critical files, each of which may be lost independently.
| File Type | Extension | What It Contains | Recovery Priority |
|---|---|---|---|
| Model weights | .pth | Trained neural network weights | Critical |
| FAISS index | .index | Speaker feature retrieval index | Critical |
| Training logs | .log | Training progress and metrics | Medium |
| Training dataset | .wav, .mp3 | Raw audio used for training | High |
| Config file | .json | Model architecture settings | Medium |
| Preprocessed audio | .npy | Numpy arrays from preprocessing | Medium |
⚠️ Warning: If you delete your .pth file and immediately start a new training run on the same drive, the new training data may overwrite the sectors that held your old model. Always scan for recovery before starting any new compute-intensive operations on the affected drive.
A typical RVC model project lives in the /logs/ or /weights/ subfolder of the RVC WebUI installation directory. Knowing this path is critical to pointing recovery software at the right location.
Part 2. Common Causes of RVC Model File Loss
| Loss Cause | Example | Recoverable |
|---|---|---|
| Accidental deletion | Deleted wrong model folder in Windows Explorer | Yes |
| OS reinstall | Windows reinstalled without backing up models | Yes — scan old drive |
| Drive failure | HDD or SSD failed during training | Often yes |
| Corrupted partition | Drive shows RAW or won't mount | Yes — partition scan |
| Overwritten during update | RVC update deleted custom models | Often yes |
| Cloud sync conflict | Sync tool replaced local .pth with empty version | Check sync version history |
| Accidental format | Drive containing RVC installation formatted | Yes — Deep Scan |
The most urgent recovery scenario is accidental deletion. Stop all activity on the drive immediately and run a scan.
Part 3. Recovering RVC .pth Files with Ritridata
Ritridata can recover any file type by extension or file header signature, including .pth files (which are standard PyTorch model checkpoint files).
Step 1 — Stop using the affected drive immediately Do not run new training jobs, install updates, or save files to the drive where your models were stored.
Step 2 — Install Ritridata on a different drive Download Ritridata and install it on a healthy drive — not the drive containing your lost models.
Step 3 — Open Ritridata and select the affected drive Launch the software. Select the drive that held your RVC installation and model files.
Step 4 — Run Deep Scan Deep Scan reads raw sectors and finds files by their content signatures, not just the file table. It works even when files have been deleted or the folder structure is gone.
Step 5 — Filter by file type After the scan, filter results by extension: .pth, .index, .wav, .mp3, .npy, .json.
Step 6 — Preview and identify your model files Sort results by size. RVC .pth files typically range from 200MB to 1.5GB. FAISS index files are usually smaller (10–500MB).
Step 7 — Recover to a safe location Select your model files and recover them to a different drive. Then copy them back to a fresh RVC installation.
💡 Tip: RVC .pth files are standard PyTorch checkpoints and can be loaded directly into a new RVC WebUI installation without retraining. After recovery, simply copy the .pth file to the
/weights/folder and the .index file to the/logs/[model-name]/folder.
Part 4. Recovering Training Datasets
The audio files used to train an RVC model are equally important as the model files themselves — they allow retraining if the .pth file cannot be recovered.
| Audio Format | Typical Source | Recoverable with Ritridata |
|---|---|---|
| WAV | Recorded or processed training audio | Yes |
| MP3 | Source audio before preprocessing | Yes |
| FLAC | High-quality source recordings | Yes |
| OGG | Some training data sources | Yes |
If your .pth file is unrecoverable but your training dataset still exists on the drive, Ritridata can recover those audio files. You can then retrain the model from scratch.
��️ r/SingingVoiceSynthesis user: "Lost my main model .pth during a drive cleanup. Managed to recover my training wavs with recovery software. Re-ran the full training pipeline — got an identical model back in about 6 hours. Always keep your dataset, not just the model."
Part 5. Recovering RVC Files After an OS Reinstall
Many RVC model losses happen when creators reinstall Windows without backing up their RVC installation folder. The old Windows installation is replaced but the drive is not wiped — deleted files remain recoverable.
Steps for post-OS-reinstall recovery:
- Do not install applications to the drive where RVC was previously installed.
- Open Ritridata and select the drive that previously held RVC (often C: or D:).
- Run a Deep Scan targeting the previous
\RVC-WebUI\or\Retrieval-based-Voice-Conversion-WebUI\folder path. - Filter by .pth and .index file extensions.
- Recover found files to a safe location before reinstalling any software.
🗣️ r/MachineLearning user: "Reinstalled Windows and forgot my RVC models were on C:. Quick scan found three .pth files still intact on the old install partition. Recovery software should be the first thing you open after a panic OS reinstall."
Part 6. Building a Backup System for RVC Models
Prevention is the most efficient approach. RVC model files are small enough to back up easily.
| Backup Type | Method | Cost | Suitable For |
|---|---|---|---|
| External drive | Manual copy of /weights/ folder | Free | All RVC users |
| Google Drive | Sync weights folder to Drive | Free (15GB) | Small model collections |
| GitHub (private repo) | Git LFS for .pth files | Free (with limits) | Developers |
| Hugging Face (private) | Upload .pth as model repository | Free | Larger collections |
| Backblaze B2 | Automated cloud backup | ~$0.006/GB/mo | Professional collections |
💡 Tip: After finishing a training run, immediately copy the final .pth and .index files to a dedicated "Model Archive" folder on a separate drive. Name files with the model name and date:
voice-model-name_2026-05-07.pth. This takes 30 seconds and prevents total loss.
Part 7. Ritridata for RVC Model Recovery
Ritridata recovers arbitrary file types by extension and by raw file header signature, making it suitable for recovering specialized AI model files like .pth checkpoints alongside standard audio formats.
| File Type | Extension | Recovery Method |
|---|---|---|
| PyTorch model | .pth | Extension + header scan |
| FAISS index | .index | Extension scan |
| NumPy array | .npy | Extension scan |
| WAV audio | .wav | Header signature |
| JSON config | .json | Extension scan |
Download Ritridata, select the drive that held your RVC models, run a Deep Scan, and recover your .pth files before starting any new training.
FAQ
Q1: Can I recover a .pth file that was deleted weeks ago? Possibly. Recovery success depends on whether the sectors holding the file have been overwritten by new data since deletion. The longer the delay, the lower the probability, but it is always worth scanning before assuming the file is permanently gone.
Q2: Do I need to retrain after recovering a .pth file? No. A recovered .pth file is a fully trained model checkpoint. Load it directly into your RVC WebUI installation — no retraining required.
Q3: What if only the .pth was recovered but not the .index file? The model can still run without the FAISS index, but retrieval-based inference quality will be reduced. RVC can generate a new index file by running the feature extraction step in the WebUI against your recovered training dataset.
Q4: Can Ritridata find .pth files if the folder structure is gone? Yes. Deep Scan reads raw sectors and identifies files by their PyTorch checkpoint header signatures, independent of the original folder structure. Files are recoverable even if the directory no longer exists.
Q5: My RVC model was stored on an SSD. Is recovery harder? SSDs with TRIM enabled may delete block data faster than HDDs. Recovery success is highest immediately after deletion. If your SSD is in a desktop PC (where TRIM runs periodically), scan within hours of deletion.
Q6: Can I recover models from a formatted drive where RVC was installed? Yes, if it was a Quick Format. Deep Scan can find .pth files from previous installations. Full Format with zero-fill makes recovery near-impossible.
Q7: Should I upload my trained RVC models to Hugging Face as backup? Yes. Hugging Face offers free private model repositories. Uploading your .pth and .index files there creates a permanent offsite backup accessible from anywhere.
Q8: What happens to my RVC training data if the training is interrupted mid-run?
RVC saves checkpoints periodically during training (controlled by save frequency settings). Check the /logs/[model-name]/ folder for intermediate .pth checkpoint files — these partial checkpoints may be newer than your last known backup.