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xenova
whisper-web
TypeScript2023–2025
xenova / whisper-web

whisper-web

ML-powered speech recognition directly in your browser

Web DevelopmentAI & Machine Learning
Explore on GitHubRead Hacker News discussions
4Distinct people
4Mentions
0Explicit recommenders
3.3KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

ML-powered speech recognition directly in your browser

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

No other repository is repeatedly linked in the same discussions.

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 month4 dated mentions

Observed mentions: 2023-11-16 21:58:00 UTC to 2025-07-12 23:11:52 UTC.

012023-11-01 00:00:00 UTC to 2023-12-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsNov 20232023-12-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-01-01 00:00:00 UTC to 2024-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-02-01 00:00:00 UTC to 2024-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-03-01 00:00:00 UTC to 2024-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-04-01 00:00:00 UTC to 2024-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-05-01 00:00:00 UTC to 2024-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-06-01 00:00:00 UTC to 2024-07-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2024-07-01 00:00:00 UTC to 2024-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-08-01 00:00:00 UTC to 2024-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-09-01 00:00:00 UTC to 2024-10-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsSep 20242024-10-01 00:00:00 UTC to 2024-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-01 00:00:00 UTC to 2024-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-12-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-01 00:00:00 UTC to 2025-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-02-01 00:00:00 UTC to 2025-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-03-01 00:00:00 UTC to 2025-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-04-01 00:00:00 UTC to 2025-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-05-01 00:00:00 UTC to 2025-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-06-01 00:00:00 UTC to 2025-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-07-01 00:00:00 UTC to 2025-08-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsJul 2025

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
Nov 20232023-11-01 00:00:00 UTC2023-12-01 00:00:00 UTC101
Dec 20232023-12-01 00:00:00 UTC2024-01-01 00:00:00 UTC000
Jan 20242024-01-01 00:00:00 UTC2024-02-01 00:00:00 UTC000
Feb 20242024-02-01 00:00:00 UTC2024-03-01 00:00:00 UTC000
Mar 20242024-03-01 00:00:00 UTC2024-04-01 00:00:00 UTC000
Apr 20242024-04-01 00:00:00 UTC2024-05-01 00:00:00 UTC000
May 20242024-05-01 00:00:00 UTC2024-06-01 00:00:00 UTC000
Jun 20242024-06-01 00:00:00 UTC2024-07-01 00:00:00 UTC101
Jul 20242024-07-01 00:00:00 UTC2024-08-01 00:00:00 UTC000
Aug 20242024-08-01 00:00:00 UTC2024-09-01 00:00:00 UTC000
Sep 20242024-09-01 00:00:00 UTC2024-10-01 00:00:00 UTC101
Oct 20242024-10-01 00:00:00 UTC2024-11-01 00:00:00 UTC000
Nov 20242024-11-01 00:00:00 UTC2024-12-01 00:00:00 UTC000
Dec 20242024-12-01 00:00:00 UTC2025-01-01 00:00:00 UTC000
Jan 20252025-01-01 00:00:00 UTC2025-02-01 00:00:00 UTC000
Feb 20252025-02-01 00:00:00 UTC2025-03-01 00:00:00 UTC000
Mar 20252025-03-01 00:00:00 UTC2025-04-01 00:00:00 UTC000
Apr 20252025-04-01 00:00:00 UTC2025-05-01 00:00:00 UTC000
May 20252025-05-01 00:00:00 UTC2025-06-01 00:00:00 UTC000
Jun 20252025-06-01 00:00:00 UTC2025-07-01 00:00:00 UTC000
Jul 20252025-07-01 00:00:00 UTC2025-08-01 00:00:00 UTC101

What Hacker News says

4 sources
soulofmischief·Sep 6, 2024
I'll try to find time to write about it, but in the meantime if you just want to try something that works, Xenova published some tools and examples about two months ago which I'm sure will give you a good start. https://github.com/xenova/whisper-web/tree/experimental-webg... https://huggingface.co/spaces/Xenova/whisper-speaker-diariza... https://huggingface.co/onnx-community/pyannote-segmentation-... Speaker diarization is quite difficult as you know, especially in loud or crowded environments, and the model is only part of the story. A lot of tooling needs to be built out for things like natural interruption, speaker memory, context-switching, etc. in order to create a believable experience.
In UE5 Nanite in WebGPU
albertzeyer·Nov 16, 2023
The name "Tiny LLMs" does not make sense. LLM stands for large language model. So tiny is kind of the opposite of large. Large usually means >=7B parameters (2023). If it's less, we would just call it language model, not large language model. And language model has a very specific meaning: It models text. Usually we mean an auto-regressive language model, i.e. input is partial text, and output is the the prediction of the following text. Although there are also other kind of language models. Language model always means text-only. E.g, a model for speech recognition is a speech recognition model, not a language model. You might use a language model in addition here (shallow fusion etc), but it's not necessary (end-to-end models). None of the models I see here are language models. So, to put a title here, you could maybe "neural network mod
Read the rest
els in browser" or so. Or maybe "natural language models". "Natural language processing (NLP)" has a different meaning (https://en.wikipedia.org/wiki/Natural_language_processing) (compared to "language model", https://en.wikipedia.org/wiki/Language_model) and includes speech recognition. Sometimes this was also referred to as "human language technology (HLT)" (https://en.wikipedia.org/wiki/Language_technology), which would also include all those models. It would also be nice to add a bit more details on what kind of models we see here, how large they are, etc. E.g. for speech recognition, I see that this uses a port of Whisper to the web (https://github.com/xenova/whisper-web) based on the Transformers.js library (https://github.com/xenova/transformers.js). That uses ONNX, and the standard conversion is via Hugging Face Optimum (https://github.com/huggingface/optimum), and that usually would do some dynamic quantization, i.e. compression of the model. So maybe the "tiny large" is referring to that. But I did not really find out which Whisper model this is based on, i.e. whether it is Whisper-large (which is still not too large with 1.5B parameters).
In Show HN: Tiny LLMs – Browser-based private AI models for a wide array of tasks

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