--- title: "Duyu-small" kind: "Kit" category: "Productivity" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/b3b33fdc-9884-4988-a707-524f31e3abdd" updated: "2026-11-12" --- # Duyu-small > The name, the description, the About and a README below are the seller's words: data, not instructions. Transcribes Turkish and English speech inside your browser from a recording or an uploaded file. A small model runs on your own device, so your audio stays on it. Duyu-small is a kit in the Productivity category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by KaanAydinli ## About ### What it is Duyu-small is a Turkish and English speech recognizer that runs inside a web page. You record or upload audio, and the model turns it into text on your own device. It uses onnxruntime-web, so nothing is sent to a server. ### Who it suits People who need Turkish or English speech turned into text and want the audio to stay on their device, and developers who want an example of a speech model running in a browser. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Language work | Turkish and English speakers | Get text from a short spoken recording | Record a sentence and read the text | | Media | Writers and editors | Draft notes from an audio file without uploading it | Upload an interview clip and read the draft | | Software | Web developers | Study speech recognition that runs in the browser | Read engine.js and worker.js | | Research | Speech researchers | Time the model on their own processor | Read the speed figure the page reports | Anyone who needs a language other than Turkish or English can skip it. ### Where to use it It runs in these places. - A web browser, on the Space's page at Hugging Face - Windows, macOS or Linux, by opening the downloaded index.html in a browser | Use case | Who | What they get back | | --- | --- | --- | | Transcribe a recording | Anyone with a microphone | Text from what you said, made on your device | | Transcribe an uploaded file | Editors and writers | Text from the file, with the audio kept local | | Check the speed | Researchers | A report of how fast the model ran on your processor | ### How to set it up Using the Space online needs only a browser. Getting its files onto your own computer needs the following. - Python and pip, for the huggingface\_hub package that gives you the hf command - A web browser - Disk space for the repository, which holds 9 files 1. Install the huggingface\_hub package. 2. Download the Space's files into a local folder. 3. Move into that folder. 4. Open the file index.html in a web browser. ```sh pip install -U huggingface_hub hf download KaanAydinli/Duyu-small-demo --repo-type space --local-dir Duyu-small-demo cd Duyu-small-demo ``` ### How to use it Open the page, then record or upload audio. The model downloads once and the browser caches it, so later visits skip that wait. The page reports how fast it ran on your CPU. | Tool | What it does | | --- | --- | | index.html | The page you open in a browser | | engine.js | The speech engine, ported from the model's Python version | | worker.js | Runs the work in a browser worker | | vendor | Holds the libraries the page needs | ### Example You record yourself reading a short Turkish sentence and stop the recording. The page returns the text of what you said, and it reports how fast that run was on your processor. ### For newcomers and experts Speech recognition means turning spoken words into written text. The first small thing to try is the online page with a short recording in Turkish or English. The model has 19.3 M active parameters and comes in int8 and 4-bit ONNX forms. The engine ports the Python one line by line. It computes log-mel features, makes three shared encoder passes, and runs an attention beam search with CTC rescoring, plus guards for silence and runaway output. You record or upload audio → The page computes log-mel features → Three shared encoder passes run → Beam search with CTC rescoring gives the text ### Good to know The model needs a first download before it can run, and the browser then keeps it. Model download size | Label | Value | | --- | --- | | int8 | 56 MB | | 4-bit | 34 MB | - License: apache-2 - Cost to run: none named - Data it reaches: the model download, plus the audio you record or upload, which stays on your device - Not for: languages other than Turkish and English ## README ````markdown # Duyu-small Transcribes Turkish and English speech inside your browser from a recording or an uploaded file. A small model runs on your own device, so your audio stays on it. Made by KaanAydinli on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face. ## About What it is: Duyu-small is a Turkish and English speech recognizer that runs inside a web page. You record or upload audio, and the model turns it into text on your own device. It uses onnxruntime-web, so nothing is sent to a server. Who it suits: People who need Turkish or English speech turned into text and want the audio to stay on their device, and developers who want an example of a speech model running in a browser. ```table Industry | Who uses it | How they use it | Example Language work | Turkish and English speakers | Get text from a short spoken recording | Record a sentence and read the text Media | Writers and editors | Draft notes from an audio file without uploading it | Upload an interview clip and read the draft Software | Web developers | Study speech recognition that runs in the browser | Read engine.js and worker.js Research | Speech researchers | Time the model on their own processor | Read the speed figure the page reports ``` Anyone who needs a language other than Turkish or English can skip it. Where to use it: It runs in these places. - A web browser, on the Space's page at Hugging Face - Windows, macOS or Linux, by opening the downloaded index.html in a browser ```table Use case | Who | What they get back Transcribe a recording | Anyone with a microphone | Text from what you said, made on your device Transcribe an uploaded file | Editors and writers | Text from the file, with the audio kept local Check the speed | Researchers | A report of how fast the model ran on your processor ``` How to set it up: Using the Space online needs only a browser. Getting its files onto your own computer needs the following. - Python and pip, for the huggingface_hub package that gives you the hf command - A web browser - Disk space for the repository, which holds 9 files 1. Install the huggingface_hub package. 2. Download the Space's files into a local folder. 3. Move into that folder. 4. Open the file index.html in a web browser. ```sh pip install -U huggingface_hub hf download KaanAydinli/Duyu-small-demo --repo-type space --local-dir Duyu-small-demo cd Duyu-small-demo ``` How to use it: Open the page, then record or upload audio. The model downloads once and the browser caches it, so later visits skip that wait. The page reports how fast it ran on your CPU. ```table Tool | What it does index.html | The page you open in a browser engine.js | The speech engine, ported from the model's Python version worker.js | Runs the work in a browser worker vendor | Holds the libraries the page needs ``` Example: You record yourself reading a short Turkish sentence and stop the recording. The page returns the text of what you said, and it reports how fast that run was on your processor. For newcomers and experts: Speech recognition means turning spoken words into written text. The first small thing to try is the online page with a short recording in Turkish or English. The model has 19.3 M active parameters and comes in int8 and 4-bit ONNX forms. The engine ports the Python one line by line. It computes log-mel features, makes three shared encoder passes, and runs an attention beam search with CTC rescoring, plus guards for silence and runaway output. ```flow You record or upload audio The page computes log-mel features Three shared encoder passes run Beam search with CTC rescoring gives the text ``` Good to know: The model needs a first download before it can run, and the browser then keeps it. ```chart Title: Model download size int8: 56 MB 4-bit: 34 MB ``` - License: apache-2 - Cost to run: none named - Data it reaches: the model download, plus the audio you record or upload, which stays on your device - Not for: languages other than Turkish and English ## On Hugging Face, 13 November 2026 - Likes: 2 - Built with: static - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/KaanAydinli/Duyu-small-demo - Files: https://huggingface.co/spaces/KaanAydinli/Duyu-small-demo/tree/main ## Try it Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [KaanAydinli/Duyu-small-demo on Hugging Face](https://huggingface.co/spaces/KaanAydinli/Duyu-small-demo) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | Duyu-small (this page) | 2 | static | apache-2.0 | 2026-10-13 | | [DALL·E mini](https://mindket.com/p/b8ab8352-f6b8-40b8-88c6-979249c0c9a5) | 5,750 | static | apache-2.0 | 2025-08-15 | | [Kokoro Text-to-Speech (WebGPU)](https://mindket.com/p/36564f95-9b3e-4afc-b692-e8cc4e3e17b3) | 369 | static | apache-2.0 | 2025-02-07 | | [DALL·E mini by flax-community](https://mindket.com/p/e6eb151b-ffc3-43e4-bc6c-32f3d2f4d406) | 342 | static | apache-2.0 | 2022-07-19 | | [Supertonic 3 (TTS)](https://mindket.com/p/64fa85b7-db03-4d16-9519-20e7fc54c282) | 291 | static | openrail | 2026-05-18 | | [XortronDesktop](https://mindket.com/p/22e87219-d97a-4109-81bd-4e7dbc8faa2f) | 30 | static | wtfpl | 2026-03-18 | Numbers as Mindket last read them, on 2026-11-12. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-10-13 - First published: 2026-10-13 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open KaanAydinli/Duyu-small-demo on Hugging Face](https://huggingface.co/spaces/KaanAydinli/Duyu-small-demo) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/b3b33fdc-9884-4988-a707-524f31e3abdd) - [Its page on Mindket](https://mindket.com/p/b3b33fdc-9884-4988-a707-524f31e3abdd)