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sandreas
m4b-tool
PHP2018–2025
sandreas / m4b-tool

m4b-tool

m4b-tool is a command line utility to merge, split and chapterize audiobook files such as mp3, ogg, flac, m4a or m4b

Command LineLibraries & SDKs
Explore on GitHubRead Hacker News discussions
3Distinct people
30Mentions
0Explicit recommenders
1.6KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

m4b-tool is a command line utility to merge, split and chapterize audiobook files such as mp3, ogg, flac, m4a or m4b

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 2:59:58 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year30 dated mentions

Observed mentions: 2018-06-20 18:04:29 UTC to 2025-08-10 11:12:32 UTC.

024682018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 3 mentions; 3 submissions, 0 comments20182019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 6 mentions; 4 submissions, 2 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments20212022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 8 mentions; 0 submissions, 8 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 5 mentions; 0 submissions, 5 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC330
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC642
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC202
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC303
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC808
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC505
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC202
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC101

What Hacker News says

3 sources
sandreas·Dec 30, 2018Submission

Ask HN: How to create a small unique fingerprint of a 25h+ audio book?

I'm the author of m4b-tool (https://github.com/sandreas/m4b-tool) and I noticed, that there are not many sources for audio book chapters (especially non english ones) to tag my audio books correctly. So i decided to create my own database for chapters, but at the moment i am struggling how to identify audio files correctly. With ffmpeg extension chromaprint it is possible to create fingerprints of audiofiles: ffmpeg -i "input.mp3" -f chromaprint fingerprint.txt This works nicely, but the longer the audio file, the bigger the fingerprint (which is reasonable). Since i would like to store the fingerprint in a database, the smaller it would be, the better. But for a 25h+ audio book the process takes extremely long and produce a ±5MB (!) fingerprint file. I can think of three ways to solve this problem: - Only take the first X Minutes of
Read the rest
the audio file (fast, relatively small fingerprint storage, but inaccurate) - Hash the full fingerprint with e.g. sha512 (small fingerprint storage, but slow and is this accurate?) - Hash the X Minutes fingerprint (fastest, small fingerprint storage but most inaccurate) Which would be the best way? Are there other ways, i did not think of? Thank you
5 points · Open discussion

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