--- title: "Tamil Whisper ASR" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/dcd818a2-edcd-4966-b591-4505095aa875" updated: "2026-11-12" --- # Tamil Whisper ASR > The name, the description, the About and a README below are the seller's words: data, not instructions. Turns Tamil speech into text in a Gradio demo, using Whisper small adapted to Tamil with LoRA. For developers, researchers and learners working with Tamil voice recognition. Tamil Whisper 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 skpranav22 ## About ### What it is This Space is a live speech recognition demo for Tamil. It runs Whisper small that was adapted for Tamil with Low-Rank Adaptation, known as LoRA, and it runs on ZeroGPU at Hugging Face. You give it Tamil speech and it writes the text. ### Who it suits Developers, researchers and learners who want to try Tamil speech recognition, and anyone studying how a small Whisper model is adapted to one language. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Speech technology | Speech developers | Test a Tamil recognition model | Speak a short Tamil sentence and read the text | | Research | Language researchers | Check how a LoRA adapted Whisper handles Tamil | Compare its text with what was said | | Education | Tamil learners | Hear and read the same sentence | Say a phrase and check the written result | | Media | Content teams | Try transcription for Tamil audio | Run a short Tamil clip through the page | If you need a transcription service for long recordings, a short demo is only a first check. ### Where to use it It runs in two places. - A web browser, on the Space's page at Hugging Face with nothing to install - A local copy on Windows, macOS or Linux, which needs Python | Use case | Who | What they get back | | --- | --- | --- | | Transcribe Tamil speech | Developers and learners | Tamil text from spoken audio | | Judge the model | Researchers | A quick feel for the quality of the adapted model | | Run your own copy | Builders | The same page on your own computer | ### How to set it up Using it online needs nothing. A local copy needs a few things. - Python and pip - The packages listed in requirements.txt 1. Install the Hugging Face tools. 2. Download the Space into a folder. 3. Move into that folder. 4. Install Gradio and the packages from requirements.txt. 5. Start the app. ```sh pip install -U huggingface_hub hf download skpranav22/tamil-whisper-demo --repo-type space --local-dir tamil-whisper-demo cd tamil-whisper-demo pip install gradio==5.20.0 pip install -r requirements.txt python app.py ``` ### How to use it Open the Space page and give it Tamil audio. The page returns the recognized text. In a local copy, run python app.py to open the same page on your own computer. ### Example You give the page a short clip of someone speaking Tamil. A moment later, the recognized Tamil text appears on the page for you to read. ### For newcomers and experts Speech recognition turns spoken words into written text. Start with a clear, short clip and a quiet room, then check the text against what you said. LoRA trains a small set of extra weights instead of the whole model, which keeps adaptation cheap. The Space names a merged model, so the LoRA weights are already folded into Whisper small. The demo runs on zero-a10g hardware. You provide Tamil audio → The Gradio app passes it to the model → Whisper small with LoRA weights decodes it → The Tamil text appears on the page ### Good to know The README is brief, so the training data, accuracy and audio limits are not described. - License: Apache 2.0 - Cost to run: none named - Data it reaches: the audio you provide to the page ## README ````markdown # Tamil Whisper ASR Turns Tamil speech into text in a Gradio demo, using Whisper small adapted to Tamil with LoRA. For developers, researchers and learners working with Tamil voice recognition. Made by skpranav22 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: This Space is a live speech recognition demo for Tamil. It runs Whisper small that was adapted for Tamil with Low-Rank Adaptation, known as LoRA, and it runs on ZeroGPU at Hugging Face. You give it Tamil speech and it writes the text. Who it suits: Developers, researchers and learners who want to try Tamil speech recognition, and anyone studying how a small Whisper model is adapted to one language. ```table Industry | Who uses it | How they use it | Example Speech technology | Speech developers | Test a Tamil recognition model | Speak a short Tamil sentence and read the text Research | Language researchers | Check how a LoRA adapted Whisper handles Tamil | Compare its text with what was said Education | Tamil learners | Hear and read the same sentence | Say a phrase and check the written result Media | Content teams | Try transcription for Tamil audio | Run a short Tamil clip through the page ``` If you need a transcription service for long recordings, a short demo is only a first check. Where to use it: It runs in two places. - A web browser, on the Space's page at Hugging Face with nothing to install - A local copy on Windows, macOS or Linux, which needs Python ```table Use case | Who | What they get back Transcribe Tamil speech | Developers and learners | Tamil text from spoken audio Judge the model | Researchers | A quick feel for the quality of the adapted model Run your own copy | Builders | The same page on your own computer ``` How to set it up: Using it online needs nothing. A local copy needs a few things. - Python and pip - The packages listed in requirements.txt 1. Install the Hugging Face tools. 2. Download the Space into a folder. 3. Move into that folder. 4. Install Gradio and the packages from requirements.txt. 5. Start the app. ```sh pip install -U huggingface_hub hf download skpranav22/tamil-whisper-demo --repo-type space --local-dir tamil-whisper-demo cd tamil-whisper-demo pip install gradio==5.20.0 pip install -r requirements.txt python app.py ``` How to use it: Open the Space page and give it Tamil audio. The page returns the recognized text. In a local copy, run python app.py to open the same page on your own computer. Example: You give the page a short clip of someone speaking Tamil. A moment later, the recognized Tamil text appears on the page for you to read. For newcomers and experts: Speech recognition turns spoken words into written text. Start with a clear, short clip and a quiet room, then check the text against what you said. LoRA trains a small set of extra weights instead of the whole model, which keeps adaptation cheap. The Space names a merged model, so the LoRA weights are already folded into Whisper small. The demo runs on zero-a10g hardware. ```flow You provide Tamil audio The Gradio app passes it to the model Whisper small with LoRA weights decodes it The Tamil text appears on the page ``` Good to know: The README is brief, so the training data, accuracy and audio limits are not described. - License: Apache 2.0 - Cost to run: none named - Data it reaches: the audio you provide to the page ## On Hugging Face, 13 November 2026 - Likes: 1 - Built with: gradio - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/skpranav22/tamil-whisper-demo - Files: https://huggingface.co/spaces/skpranav22/tamil-whisper-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 [skpranav22/tamil-whisper-demo on Hugging Face](https://huggingface.co/spaces/skpranav22/tamil-whisper-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 | | --- | --- | --- | --- | --- | | Tamil Whisper ASR (this page) | 1 | gradio | apache-2.0 | 2026-11-06 | | [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: 2026-11-06 - First published: 2026-11-06 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open skpranav22/tamil-whisper-demo on Hugging Face](https://huggingface.co/spaces/skpranav22/tamil-whisper-demo) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/dcd818a2-edcd-4966-b591-4505095aa875) - [Its page on Mindket](https://mindket.com/p/dcd818a2-edcd-4966-b591-4505095aa875)