🎮
Kokoro Text-to-Speech space by Webml Community
⭐ 23
🚀
Space

Kokoro Text-to-Speech

by Webml Community hf-space--webml-community--kokoro-web
Nexus Index
23.0 Top 2%
S / A / P / R / Q Breakdown Calibration Pending

Pillar scores are computed during the next indexing cycle.

Tech Context
Vital Performance
0 DL / 30D
0.0%

A simple React + Vite application for running Kokoro, a frontier text-to-speec...

Source →
static SDK
CPU Hardware
Running Status
Active 220 Activity
Space Information Summary
Entity Passport
Registry ID hf-space--webml-community--kokoro-web
Provider huggingface
📜

Cite this space

Academic & Research Attribution

BibTeX 
@misc{hf_space__webml_community__kokoro_web,
  author = {Webml Community},
  title = {Kokoro Text-to-Speech Space},
  year = {2026},
  howpublished = {\url{https://huggingface.co/spaces/webml-community/kokoro-web}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
Webml Community. (2026). Kokoro Text-to-Speech [Space]. Free2AITools. https://huggingface.co/spaces/webml-community/kokoro-web

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
23.0
ESTIMATED IMPACT TIER
Semantic (S) 50
Authority (A) 0
Popularity (P) 0
Recency (R) 0
Quality (Q) 0

đŸ’Ŧ Index Insight

FNI V2.0 for Kokoro Text-to-Speech: Semantic (S:50), Authority (A:0), Popularity (P:0), Recency (R:0), Quality (Q:0).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live

Environment Profile

title: Kokoro Text-to-Speech
emoji: đŸ—Ŗī¸
colorFrom: indigo
colorTo: purple
sdk: static
pinned: false
license: apache-2.0
short_description: High-quality speech synthesis powered by Kokoro TTS
header: mini
models:

  • onnx-community/Kokoro-82M-ONNX
    custom_headers:
    cross-origin-embedder-policy: require-corp
    cross-origin-opener-policy: same-origin
    cross-origin-resource-policy: cross-origin
    disable_embedding: true

Kokoro Text-to-Speech

A simple React + Vite application for running Kokoro, a frontier text-to-speech model for its size using Transformers.js.

Getting Started

Follow the steps below to set up and run the application.

1. Clone the Repository

Clone the examples repository from GitHub:

git clone https://github.com/hexgrad/kokoro.git

2. Navigate to the Project Directory

Change your working directory to the demo folder:

cd kokoro/kokoro.js/demo

3. Install Dependencies

Install the necessary dependencies using npm:

npm i

4. Run the Development Server

Start the development server:

npm run dev

The application should now be running locally. Open your browser and go to http://localhost:5173 to see it in action.

Top Tier

Social Proof

HuggingFace Hub
220Likes
Hub Discussions
🤗 Data Source: Hugging Face ↗
🔄 Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face metadata. Not a recommendation.

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🛡ī¸ Space Transparency Report

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100% Data Disclosure Active

🆔 Identity & Source

id
hf-space--webml-community--kokoro-web
source
huggingface
author
Webml Community
tags
staticregion:us

⚙ī¸ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag
static

📊 Engagement & Metrics

likes
220
downloads
0

Free2AITools Constitutional Data Pipeline: Curated disclosure mode active. (V15.x Standard)