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kaegi
alass
Rust2019–2025
kaegi / alass

alass

"Automatic Language-Agnostic Subtitle Synchronization"

12Distinct people
14Mentions
0Explicit recommenders
1.5KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

"Automatic Language-Agnostic Subtitle Synchronization"

GitHub

Where it is used

No documented product use was verified in the last source check.

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

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This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 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 year14 dated mentions

Observed mentions: 2019-02-26 10:11:17 UTC to 2025-10-07 03:16:25 UTC.

012342019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments20192020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 4 mentions; 1 submissions, 3 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 4 mentions; 1 submissions, 3 comments20222023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 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
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC202
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC000
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC413
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC413
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC101
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC110
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC211

What Hacker News says

14 sources
Some of the issues you often run into with Japanese subtitles are: * Almost all Japanese subtitles include subtitles for every noise made as well as including SDH-like information about sounds. This means that a naive attempt to just match up subtitle timings won't work -- the English translation will have fewer subtitles and you will have to skip Japanese lines that do not have an equivalent in the English transcript. * Most translated subtitles simplify things and have to re-organise sentence structures to match the target language, which means that you often have to pick different timings for how a sentence is broken up in English than in the original Japanese. Sometimes a very short Japanese phrase requires two sentences to accurately translate, sometimes a long Japanese sentence can be translated into a fairly short English phras
Read the rest
e. * Higher-quality subtitles will also provide translations for signs and other on-screen text (ASS supports custom placement, fonts, styles, and colours -- it is powerful enough to the point where some of the really good fansub jobs I've seen make it look like the video was actually localised to English because all of the signs look like they have been translated in the original video). The original timings don't help with this. I should mention that I have used tools like alass[1] to re-time subtitles between languages before (including retiming Japanese subtitles to match English ones) so this is not an unreasonable idea on its face, but those tools mostly work with already existing subtitle tracks that have correct timings. My experience is that if you have tracks with very different timings (as opposed to chunks of subtitles with fairly fixed offsets) you start getting rubbish results. [1]: https://github.com/kaegi/alass
In Why did Crunchyroll's subtitles just get worse?
With tools like alass[1] (using it to synchronise against the original language subtitles) it is about as close to solved you can get. All of the attempts I've seen of using audio information to synchronise subtitles have been awful. One issue is that some languages subtitle everything, even screams and incoherent shouts (such as Japanese) while others only subtitle dialogue and often rework dialogue for the purposes of making the subtitles short enough to be readable easily. It feels like you need too much domain knowledge to know how different languages subtitle things and that subtitles that match the general meaning of what is being said should be matched up. [1]: https://github.com/kaegi/alass
In AI could end foreign-language subtitles

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