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[Bug]: M4B creation fails to do out of memory error #3046
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opened 2026-04-25 00:13:15 +02:00 by adam
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Reference: starred/audiobookshelf#3046
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Originally created by @plz12345 on GitHub (Oct 21, 2025).
What happened?
ffmpeg claims to be unable to open the metadata file. I tried purging the items cache, to have the app re-create it (I hope?). But no joy there. I have no memory constraints on the container and plenty of available RAM on the host. The ffmetadata.txt file does get created, and doesn't appear to have any issues. It's only 12KB during the process.
The "failed to open" error seems odd. I do see this file being created as part of the process, and it does have content. I tried multiple times, and I also tried removing the rich text formatting of the book description. Other books seem to merge much more quickly than this failing one. Normal merges take less than a minute, whereas this one takes a few minutes.
I've successfully created M4B's with other books in my library, so it appears to be something specific to this one book. I'd be happy to try and manually run the commands, if they are documented anywhere, to see if I can get better error output from whatever ffmpeg is choking on.
What did you expect to happen?
Merge the audiobook successfully, or at least leave it in a resumable state where it failed. Trying again, at this point, means re-merging all the audio, just to get to the end state where it fails again.
Steps to reproduce the issue
Audiobookshelf version
v2.30.0
How are you running audiobookshelf?
Docker
What OS is your Audiobookshelf server hosted from?
Linux
If the issue is being seen in the UI, what browsers are you seeing the problem on?
Firefox
Logs
Additional Notes
No response
@Vito0912 commented on GitHub (Oct 21, 2025):
How much RAM does ABS has?
And how many and how big files are you trying to merge?
@plz12345 commented on GitHub (Oct 21, 2025):
I don't cap the container's memory at all, nor Docker (running on Unraid). It idles around 1.2GB, and during the attempted merge it does not increase to any significant level. The Docker host has a total of 32GB RAM, and is only using 10GB total across all containers, including this one.
The total size of the MP3's is 288.5MB, and this tool has merged much larger books without issue.
@jpeel commented on GitHub (Oct 23, 2025):
I think that the problem isn't truly an OOM (maybe ffmpeg is misreporting that part?), but is
Chapter end time 56309 before start 2055000. Check the chapters in your input M4B file and look at the start times listed there and the durations.@plz12345 commented on GitHub (Oct 23, 2025):
The input is MP3, not M4B. Are you saying one of them has bad ID3 tag data?
@nichwall commented on GitHub (Oct 23, 2025):
Can you share a screenshot of the chapter data for the book in ABS or use the network tab in your browser to inspect the full metadata object for the book? It could be that ABS has the wrong chapter information and it's generating the metadata file for embedding incorrectly, but yeah I agree it's actually due to a problem with the chapter metadata and not an OOM.
@plz12345 commented on GitHub (Oct 23, 2025):
I dug deeper, and did find the chapter info to be a bit messed up. What I did to resolve it:
Not sure how I ended up in that situation, but I'm glad it was only the one book. Kudos for having the built-in tooling to handle that without having to resort to manual ffmpeg shenanigans.