--- title: "Hindi_ASR" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/17ce8d7b-b9a4-45cd-9aa6-31d0b606106c" updated: "2026-11-12" --- # Hindi\_ASR > The name, the description, the About and a README below are the seller's words: data, not instructions. A Gradio app that turns spoken Hindi into text with the anuragshas wav2vec2 XLS-R model. It suits people who want to transcribe Hindi audio in a browser. Hindi\_ASR 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 anuragshas ## About ### What it is Hindi\_ASR is a Gradio app on Hugging Face Spaces for automatic speech recognition in Hindi. Its settings name a Hindi wav2vec2 XLS-R 1B checkpoint from the author anuragshas. The repository includes one sample audio file and a list of system packages. ### Who it suits It suits people who want to turn Hindi 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 Hindi recording | Open the Space and upload an audio clip | | Education | Language learners | Check how well a model hears spoken Hindi | 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 Hindi audio | Transcribers | The recognised text shown in the browser | | Study a speech demo | Learners | An app file, package lists and one sample audio file | ### 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 Hindi\_ASR. 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 anuragshas/Hindi_ASR --repo-type space --local-dir Hindi_ASR cd Hindi_ASR pip install gradio pip install -r requirements.txt python app.py ``` ### How to use it Open the Space page on Hugging Face, give it Hindi 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 play the sample audio file through the app. The speech model listens to it and shows the Hindi text it recognises. ### For newcomers and experts If you are new, try the sample audio 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 fine-tuned for Hindi, and its name says it uses a language model. Accuracy and training data are not given in the source. You give the app Hindi 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: apache-2 - Cost to run: none named - Data it reaches: the audio you give it and the model it names ## README ````markdown # Hindi_ASR A Gradio app that turns spoken Hindi into text with the anuragshas wav2vec2 XLS-R model. It suits people who want to transcribe Hindi audio in a browser. Made by anuragshas 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: Hindi_ASR is a Gradio app on Hugging Face Spaces for automatic speech recognition in Hindi. Its settings name a Hindi wav2vec2 XLS-R 1B checkpoint from the author anuragshas. The repository includes one sample audio file and a list of system packages. Who it suits: It suits people who want to turn Hindi 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 Hindi recording | Open the Space and upload an audio clip Education | Language learners | Check how well a model hears spoken Hindi | 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 Hindi audio | Transcribers | The recognised text shown in the browser Study a speech demo | Learners | An app file, package lists and one sample audio file ``` 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 Hindi_ASR. 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 anuragshas/Hindi_ASR --repo-type space --local-dir Hindi_ASR cd Hindi_ASR pip install gradio pip install -r requirements.txt python app.py ``` How to use it: Open the Space page on Hugging Face, give it Hindi 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 play the sample audio file through the app. The speech model listens to it and shows the Hindi text it recognises. For newcomers and experts: If you are new, try the sample audio 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 fine-tuned for Hindi, and its name says it uses a language model. Accuracy and training data are not given in the source. ```flow You give the app Hindi 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: apache-2 - 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: 1 - Built with: gradio - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/anuragshas/Hindi_ASR - Files: https://huggingface.co/spaces/anuragshas/Hindi_ASR/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 [anuragshas/Hindi_ASR on Hugging Face](https://huggingface.co/spaces/anuragshas/Hindi_ASR) ## 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 | | --- | --- | --- | --- | --- | | Hindi\_ASR (this page) | 1 | gradio | apache-2.0 | 2026-02-25 | | [Z Image Turbo](https://mindket.com/p/adfd87b7-3f3e-405e-95c8-1957bc0da52a) | 1,940 | gradio | apache-2.0 | 2026-05-22 | | [TRELLIS](https://mindket.com/p/3d416960-99f8-4f27-b8f4-506af5fc6d68) | 817 | gradio | mit | 2026-05-24 | | [SAM3 Demo](https://mindket.com/p/b2c90015-5e83-4562-bf7c-9214654bc87b) | 91 | gradio | apache-2.0 | 2026-10-14 | | [TRELLIS.2-Text-to-3D (Rerun)](https://mindket.com/p/7dd47404-3114-400c-97ae-a751bcdb2e07) | 58 | gradio | apache-2.0 | 2026-10-14 | | [Multi-Agent AI - Coding](https://mindket.com/p/3d985dae-d621-4632-a07f-32aa6ed06e86) | 39 | gradio | apache-2.0 | 2025-07-13 | 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: 2026-02-25 - First published: 2022-03-02 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open anuragshas/Hindi_ASR on Hugging Face](https://huggingface.co/spaces/anuragshas/Hindi_ASR) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/17ce8d7b-b9a4-45cd-9aa6-31d0b606106c) - [Its page on Mindket](https://mindket.com/p/17ce8d7b-b9a4-45cd-9aa6-31d0b606106c)