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alphacep
vosk-api
Jupyter Notebook2020–2026
alphacep / vosk-api

vosk-api

Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

20Distinct people
34Mentions
0Explicit recommenders
15.3KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

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

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, 12:45:45 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 year34 dated mentions

Observed mentions: 2020-02-24 23:36:02 UTC to 2026-10-14 04:03:36 UTC.

0510152020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 8 mentions; 0 submissions, 8 comments20202021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 16 mentions; 0 submissions, 16 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments20232024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 5 mentions; 1 submissions, 4 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-01 00:00:00 UTC to 2027-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments. Incomplete calendar period.2026*

* An incomplete calendar period is marked with an outlined bar. Its count is not directly comparable with a full period.

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
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC808
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC211
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC16016
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC202
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC514
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC000
2026 (partial)2026-01-01 00:00:00 UTC2027-01-01 00:00:00 UTC101

What Hacker News says

5 sources
I helped coding oTranscribe+ [0], which does something similar to what you are asking for. Using ElectronJS and the current, at that moment, version of oTranscribe, there is this desktop application. It also exists as web version and PWA [1]. Language models were those from BSC (Barcelona Supercomputing Center) at the time. The transcription is done via WASM, using Vosk [2] as base. I hope it fits. [0] https://github.com/projecte-aina/oTranscribe-plus [1] https://otranscribe.bsc.es/ [2] https://github.com/alphacep/vosk-api
In OTranscribe: A free and open tool for transcribing audio interviews
> It's coming! CMUSphinx used to have something like this, and there are some [1] solutions [2] on the horizon. > > [1]: https://github.com/alphacep/vosk-api/issues/55 > > [2]: https://github.com/outlines-dev/outlines?tab=readme-ov-file#... It's interesting as speech recognition has become more popular than ever through services like Alexa, and other iot devices support for OS speech recognition has very little development. Don't get me started with accessibility apis either... Unfortunately most implementations (especially those that are iot focused) don't have very important features for robust speech recognition. 1. Ability to enable and disable a grammar 2. Modify grammars while the engine is loaded 3. Scoped grammars that are context-specific 4. Recognition callbacks 5. Multiple grammars active simultaneously. Unfortunately I don't t
Read the rest
hink vosk api will ever support those features. I know there's a few PRs that address a few of those points but have not been merged for years. Given the criteria above there's very little open source that allows for complex grammars that's easy to run for an end user locally.
In Infini-Gram: Scaling unbounded n-gram language models to a trillion tokens

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