--- title: "ASR Ukrainian" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/238fefa0-1e43-4164-96f9-9526b72b35f2" updated: "2026-11-12" --- # ASR Ukrainian > The name, the description, the About and a README below are the seller's words: data, not instructions. A Gradio app that turns spoken Ukrainian into text with a wav2vec2 XLS-R checkpoint. It suits people who want to transcribe Ukrainian audio in a browser. ASR Ukrainian is a kit in the Developer 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 arampacha ## About ### What it is ASR Ukrainian is a Gradio app on Hugging Face Spaces for automatic speech recognition in Ukrainian. Its settings name a Ukrainian wav2vec2 XLS-R 1B checkpoint from the author arampacha. The repository holds app.py, an examples folder and a list of system packages. ### Who it suits It suits people who want to turn Ukrainian speech into text in a browser, and developers who want a short example of a speech model behind a Gradio page. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Media | Transcribers | Get a first draft of a Ukrainian recording | Open the Space and upload an audio clip | | Education | Language learners | Check how well a model hears spoken Ukrainian | Speak a sentence and read the text | | Software | Python developers | Read app.py to see how the speech model is called | Download the Space and open app.py | Anyone who needs other languages or documented accuracy can skip it, since the source gives neither. ### Where to use it - A web browser, straight from the Space page on Hugging Face - Windows, macOS or Linux with Python, as a local copy | Use case | Who | What they get back | | --- | --- | --- | | Transcribe Ukrainian audio | Transcribers | The recognised text shown in the browser | | Study a speech demo | Learners | An app file, package lists and a folder of examples | ### How to set it up Using it online needs nothing. A local copy needs these first. - Python and pip - The huggingface\_hub package, to fetch the files - The packages in requirements.txt, plus Gradio - The system packages in packages.txt, which Hugging Face installs with apt-get 1. Install the Hugging Face Hub package. 2. Download the Space into a folder called asr-ukrainian. 3. Move into that folder. 4. Install Gradio, then the packages from requirements.txt. 5. Start the app. ```sh pip install -U huggingface_hub hf download arampacha/asr-ukrainian --repo-type space --local-dir asr-ukrainian cd asr-ukrainian pip install gradio pip install -r requirements.txt python app.py ``` ### How to use it Open the Space page on Hugging Face, give it Ukrainian audio and read the text it returns. For a local copy, run python app.py in the folder and open the page it starts. ### Example You open the Space page and pick one of the audio examples. The speech model listens to it and shows the Ukrainian text it recognises. ### For newcomers and experts If you are new, try one of the examples first. Speech recognition means a program listens to a recording and writes down what was said. If you know the field, the named checkpoint is a wav2vec2 XLS-R 1B model for Ukrainian. Accuracy, the language model setup and the training data are not given in the source. You give the app Ukrainian audio → The wav2vec2 model listens to the speech → The recognised text shows on the page ### Good to know - The README gives no description, so settings and limits are clear only from the page and the code - It needs Gradio, the packages in requirements.txt and the system packages in packages.txt - License: mit - Cost to run: none named - Data it reaches: the audio you give it and the model it names ## README ````markdown # ASR Ukrainian A Gradio app that turns spoken Ukrainian into text with a wav2vec2 XLS-R checkpoint. It suits people who want to transcribe Ukrainian audio in a browser. Made by arampacha 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: ASR Ukrainian is a Gradio app on Hugging Face Spaces for automatic speech recognition in Ukrainian. Its settings name a Ukrainian wav2vec2 XLS-R 1B checkpoint from the author arampacha. The repository holds app.py, an examples folder and a list of system packages. Who it suits: It suits people who want to turn Ukrainian speech into text in a browser, and developers who want a short example of a speech model behind a Gradio page. ```table Industry | Who uses it | How they use it | Example Media | Transcribers | Get a first draft of a Ukrainian recording | Open the Space and upload an audio clip Education | Language learners | Check how well a model hears spoken Ukrainian | Speak a sentence and read the text Software | Python developers | Read app.py to see how the speech model is called | Download the Space and open app.py ``` Anyone who needs other languages or documented accuracy can skip it, since the source gives neither. Where to use it: - A web browser, straight from the Space page on Hugging Face - Windows, macOS or Linux with Python, as a local copy ```table Use case | Who | What they get back Transcribe Ukrainian audio | Transcribers | The recognised text shown in the browser Study a speech demo | Learners | An app file, package lists and a folder of examples ``` How to set it up: Using it online needs nothing. A local copy needs these first. - Python and pip - The huggingface_hub package, to fetch the files - The packages in requirements.txt, plus Gradio - The system packages in packages.txt, which Hugging Face installs with apt-get 1. Install the Hugging Face Hub package. 2. Download the Space into a folder called asr-ukrainian. 3. Move into that folder. 4. Install Gradio, then the packages from requirements.txt. 5. Start the app. ```sh pip install -U huggingface_hub hf download arampacha/asr-ukrainian --repo-type space --local-dir asr-ukrainian cd asr-ukrainian pip install gradio pip install -r requirements.txt python app.py ``` How to use it: Open the Space page on Hugging Face, give it Ukrainian audio and read the text it returns. For a local copy, run python app.py in the folder and open the page it starts. Example: You open the Space page and pick one of the audio examples. The speech model listens to it and shows the Ukrainian text it recognises. For newcomers and experts: If you are new, try one of the examples first. Speech recognition means a program listens to a recording and writes down what was said. If you know the field, the named checkpoint is a wav2vec2 XLS-R 1B model for Ukrainian. Accuracy, the language model setup and the training data are not given in the source. ```flow You give the app Ukrainian audio The wav2vec2 model listens to the speech The recognised text shows on the page ``` Good to know: - The README gives no description, so settings and limits are clear only from the page and the code - It needs Gradio, the packages in requirements.txt and the system packages in packages.txt - License: mit - Cost to run: none named - Data it reaches: the audio you give it and the model it names ## On Hugging Face, 13 November 2026 - Likes: 0 - Built with: gradio - License: mit ## Links - Space: https://huggingface.co/spaces/arampacha/asr-ukrainian - Files: https://huggingface.co/spaces/arampacha/asr-ukrainian/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 [arampacha/asr-ukrainian on Hugging Face](https://huggingface.co/spaces/arampacha/asr-ukrainian) ## 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 | | --- | --- | --- | --- | --- | | ASR Ukrainian (this page) | 0 | gradio | mit | 2022-04-05 | | [FLUX.1 dev](https://mindket.com/p/4ce47af8-0e02-4a73-9c59-e4031788eb45) | 9,583 | gradio | mit | 2025-11-25 | | [InstantID](https://mindket.com/p/54fcb36c-756a-4797-80c1-05779f87ebbd) | 3,659 | gradio | apache-2.0 | 2025-08-26 | | [Chat With Janus-Pro-7B](https://mindket.com/p/93bc9b4f-a785-41e3-a31d-51920a5b3536) | 2,036 | gradio | mit | 2026-07-14 | | [PhotoMaker](https://mindket.com/p/b3e336b4-4a67-4e52-8c2e-1e94d392ac71) | 1,960 | gradio | apache-2.0 | 2025-08-28 | | [Z Image Turbo](https://mindket.com/p/adfd87b7-3f3e-405e-95c8-1957bc0da52a) | 1,940 | gradio | apache-2.0 | 2026-05-22 | 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: 2022-04-05 - First published: 2022-03-02 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open arampacha/asr-ukrainian on Hugging Face](https://huggingface.co/spaces/arampacha/asr-ukrainian) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/238fefa0-1e43-4164-96f9-9526b72b35f2) - [Its page on Mindket](https://mindket.com/p/238fefa0-1e43-4164-96f9-9526b72b35f2)