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Encodec 24khz

huggingface.co·Infrastructure·🇺🇸

EnCodec is an open-source neural audio codec developed by Meta AI. It enables high-fidelity audio compression at low bitrates using a combination of residual vector quantization and a transformer-based decoder. The model is provided as a Hugging Face repository containing weights for 24kHz audio and can be used for feature extraction, audio reconstruction, and as a foundation for downstream audio tasks.

Open SourceMITWebCLIAPI
EEncodec 24khz preview
Visit huggingface.co↗
4.0kstars
361forks
5features
2022since

Overview

5 features

Encodec 24khz is a Foundation models & chat project. It focuses on compressing and decompressing high-quality audio at very low bitrates while preserving fidelity. Encodec 24khz is an open-source project aimed at machine learning researchers and audio engineers. The project is open source (MIT). It ships for the web, the command line, and API.

Meta AI builds and maintains Encodec 24khz, and it first shipped in 2022. Development happens publicly on GitHub with 4k stars. Key capabilities include Audio Compression, Neural Codec, and 24kHz Support.

Summary written by a language model from the project’s public pages.

  • ✓Audio Compression
  • ✓Neural Codec
  • ✓24kHz Support
  • ✓Transformers Integration
  • ✓Feature Extraction
Tags
neural-audio-codecaudio-compressionlow-bitratefeature-extraction
AI capabilities
Text
Inference: LocalWeights: Open

Built with & integrations

Hosting
AWS
Runs on
BrowserCLIAPI-only
Detected from
AWS
x-amz-cf-id header · x-amz-cf-pop header · via header

Trust & compliance

License
MIT
Verified signals
✓HTTPS✓Privacy Policy✓Terms of Service✓Open Source✓GitHub · ★ 4.0k
Legal
Privacy Policy →Terms of Service →

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed5 Aug · 08:37 UTC
    facebook/encodec_24khz verified against its public source
    Source: PulseGate · Open ↗

Frequently asked questions about Encodec 24khz

What does Encodec 24khz do?
Encodec 24khz focuses on compressing and decompressing high-quality audio at very low bitrates while preserving fidelity. It is catalogued under Foundation models & chat on PulseGate.
Who should use Encodec 24khz?
Encodec 24khz is an open-source project built for machine learning researchers and audio engineers.
Does Encodec 24khz have a free plan?
Yes — Encodec 24khz is open source under the MIT license and free to use.
What platforms does Encodec 24khz run on?
Encodec 24khz runs on the web, the command line, and API.
Is Encodec 24khz still maintained?
Unverified. Encodec 24khz has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
What projects are similar to Encodec 24khz?
Similar projects tracked by PulseGate include Ouro 1.4B, Bge Reranker V2 M3 Ko, and Qwen 72B.Ouro 1.4BBge Reranker V2 M3 KoQwen 72B
Who develops Encodec 24khz?
Encodec 24khz is developed by Meta AI, based in the United States.
How long has Encodec 24khz been around?
Encodec 24khz first shipped in 2022.

At a glance

Pricing
Open Source
Platforms
Cli · Web
Languages
English
Open source
Yes · ★ 4.0k
License
MIT
Built for
machine learning researchers and audio engineers
Model
Open source
Solves
Compressing and decompressing high-quality audio at very low bitrates while preserving fidelity.

Registered as

GitHub
facebookresearch/encodec
Hugging Face
facebook/encodec_24khz

Developer

🇺🇸Meta AI
Small team
↗ GitHub

Open source

View on GitHub →
Stars
4,009
Forks
361
Open issues
62
Last commit
4 Jan 2024
Commits 90d
0
Contributors
5
Authorship
Small team
Default branch
main

Live coverage

Identity confidence
Medium · 70.4
Indexed
5 Aug 2026
Lifecycle
Alive
Last seen
5 Aug 2026
Identity audit (13)
Slug
facebook-encodec-24khz-huggingface-co
Lifecycle state recorded
5 Aug 2026
Verification state
Indexed for public listing
Listing state
Listed: yes
Index status
Included in index
Latest evidence snapshot
5 Aug 2026
Timeline basis
Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from
Derived from the project's own page and URL.
Category from
Derived from the model's own Hugging Face metadata.
Summary from
Written by a language model from public pages.
Languages from
Detected by a language model from page content.
Last updated
5 Aug 2026
Canonical URL
https://huggingface.co/facebook/encodec_24khz

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  • Q2Qwen3.6 27Bhuggingface.co
  • KKKimi K2.7 Codehuggingface.co