--- title: "Transcripción automatica en aragonés" kind: "Kit" category: "Productivity" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/51757d0c-ba4b-4dff-bfd9-bc44454e8096" updated: "2026-11-12" --- # Transcripción automatica en aragonés > The name, the description, the About and a README below are the seller's words: data, not instructions. Transcribes Aragonese speech to text from an uploaded audio file or a microphone recording of up to 60 seconds. A demo of an Omnilingual LLM-3B model fine-tuned for Aragonese. Transcripción automatica en aragonés 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 Juanpabl ## About ### What it is This demo turns Aragonese speech into text. You give it a saved sound file or speak into a microphone, and a transcript comes back. It runs a model that was fine-tuned for Aragonese, and the Space runs on Hugging Face, so you can use it in a browser with nothing to install. ### Who it suits People who work with Aragonese recordings and want a first-draft transcript, and developers who want to see a speech model packaged as a Gradio app. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Language work | Researchers and speakers | Get a draft transcript of an Aragonese recording | Upload a short interview clip and read the draft | | Education | Teachers and learners | Check how spoken Aragonese turns into written text | Record a sentence and compare it with the text | | Media | Writers and editors | Draft notes from a short spoken clip | Download the transcript as a text file | | Software | Developers | Study how the app wraps an Aragonese speech model | Download the Space and read app.py and inference.py | Anyone who needs live captions, or recordings longer than 60 seconds in one go, can skip it. ### Where to use it It runs in these places. - A web browser, on the Space's page at Hugging Face - Windows, with Python 3.10 - macOS, with Python 3.10 - Linux, with Python 3.10 | Use case | Who | What they get back | | --- | --- | --- | | Transcribe an audio file | Researchers and editors | A text transcript you can copy | | Transcribe a microphone recording | Speakers and learners | A transcript of what you recorded | | Save the result | Anyone | The transcript as a downloadable text file | ### How to set it up Using the Space online needs only a browser. A copy on your own computer needs the following. - Python 3.10 and pip - The huggingface\_hub package, which gives you the hf command - The system packages listed in packages.txt, which the hosted Space installs with apt-get - Disk space for the repository, which holds 11 files 1. Install the huggingface\_hub package. 2. Download the Space's files into a local folder. 3. Move into that folder. 4. Install Gradio at the version the Space uses, then install the packages in requirements.txt. 5. Start the app. ```sh pip install -U huggingface_hub hf download Juanpabl/asr-aragones-demo --repo-type space --local-dir asr-aragones-demo cd asr-aragones-demo pip install gradio==5.49.1 pip install -r requirements.txt python app.py ``` ### How to use it Open the Space's page, or run the app on your computer and open the page Gradio shows. Give it a saved sound file or speak into a microphone, then press the Transcribe button. ```sh python app.py ``` | Tool | What it does | | --- | --- | | Transcribe button | Runs the model on your audio | | app.py | The main file, it builds the Gradio page | | inference.py | Holds the code that runs the model | | packages.txt | Lists the system packages the app needs | ### Example You upload a 40 second recording of someone speaking Aragonese and press Transcribe. You get back the text of what was said, which you can copy or download as a text file. ### For newcomers and experts Aragonese is a language of northeastern Spain, and this page writes down what a speaker says. The first small thing to try is the online Space with a short recording. Check the transcript against the audio, because it can contain errors and gaps. The Space names one model, an Omnilingual LLM-3B fine-tuned for Aragonese on top of Meta's Omnilingual ASR. It handles one recording at a time and accepts clips up to 60 seconds. It is set to run on Hugging Face's zero-a10g hardware, so availability depends on GPU quotas and queues. You upload or record audio → The Aragonese model reads the audio → It writes the transcript → You copy it or download a text file ### Good to know Only use recordings you are cleared to send to this service. - License: apache-2 - Cost to run: none named - Data it reaches: the audio you upload or record, which is processed on Hugging Face infrastructure - Not for: live captioning, since it handles one recording at a time - Hardware: the Space is set to zero-a10g, and a busy shared GPU can slow or block a run ## README ````markdown # Transcripción automatica en aragonés Transcribes Aragonese speech to text from an uploaded audio file or a microphone recording of up to 60 seconds. A demo of an Omnilingual LLM-3B model fine-tuned for Aragonese. Made by Juanpabl 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 demo turns Aragonese speech into text. You give it a saved sound file or speak into a microphone, and a transcript comes back. It runs a model that was fine-tuned for Aragonese, and the Space runs on Hugging Face, so you can use it in a browser with nothing to install. Who it suits: People who work with Aragonese recordings and want a first-draft transcript, and developers who want to see a speech model packaged as a Gradio app. ```table Industry | Who uses it | How they use it | Example Language work | Researchers and speakers | Get a draft transcript of an Aragonese recording | Upload a short interview clip and read the draft Education | Teachers and learners | Check how spoken Aragonese turns into written text | Record a sentence and compare it with the text Media | Writers and editors | Draft notes from a short spoken clip | Download the transcript as a text file Software | Developers | Study how the app wraps an Aragonese speech model | Download the Space and read app.py and inference.py ``` Anyone who needs live captions, or recordings longer than 60 seconds in one go, can skip it. Where to use it: It runs in these places. - A web browser, on the Space's page at Hugging Face - Windows, with Python 3.10 - macOS, with Python 3.10 - Linux, with Python 3.10 ```table Use case | Who | What they get back Transcribe an audio file | Researchers and editors | A text transcript you can copy Transcribe a microphone recording | Speakers and learners | A transcript of what you recorded Save the result | Anyone | The transcript as a downloadable text file ``` How to set it up: Using the Space online needs only a browser. A copy on your own computer needs the following. - Python 3.10 and pip - The huggingface_hub package, which gives you the hf command - The system packages listed in packages.txt, which the hosted Space installs with apt-get - Disk space for the repository, which holds 11 files 1. Install the huggingface_hub package. 2. Download the Space's files into a local folder. 3. Move into that folder. 4. Install Gradio at the version the Space uses, then install the packages in requirements.txt. 5. Start the app. ```sh pip install -U huggingface_hub hf download Juanpabl/asr-aragones-demo --repo-type space --local-dir asr-aragones-demo cd asr-aragones-demo pip install gradio==5.49.1 pip install -r requirements.txt python app.py ``` How to use it: Open the Space's page, or run the app on your computer and open the page Gradio shows. Give it a saved sound file or speak into a microphone, then press the Transcribe button. ```sh python app.py ``` ```table Tool | What it does Transcribe button | Runs the model on your audio app.py | The main file, it builds the Gradio page inference.py | Holds the code that runs the model packages.txt | Lists the system packages the app needs ``` Example: You upload a 40 second recording of someone speaking Aragonese and press Transcribe. You get back the text of what was said, which you can copy or download as a text file. For newcomers and experts: Aragonese is a language of northeastern Spain, and this page writes down what a speaker says. The first small thing to try is the online Space with a short recording. Check the transcript against the audio, because it can contain errors and gaps. The Space names one model, an Omnilingual LLM-3B fine-tuned for Aragonese on top of Meta's Omnilingual ASR. It handles one recording at a time and accepts clips up to 60 seconds. It is set to run on Hugging Face's zero-a10g hardware, so availability depends on GPU quotas and queues. ```flow You upload or record audio The Aragonese model reads the audio It writes the transcript You copy it or download a text file ``` Good to know: Only use recordings you are cleared to send to this service. - License: apache-2 - Cost to run: none named - Data it reaches: the audio you upload or record, which is processed on Hugging Face infrastructure - Not for: live captioning, since it handles one recording at a time - Hardware: the Space is set to zero-a10g, and a busy shared GPU can slow or block a run ## On Hugging Face, 13 November 2026 - Likes: 1 - Built with: gradio - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/Juanpabl/asr-aragones-demo - Files: https://huggingface.co/spaces/Juanpabl/asr-aragones-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, 5 KB, downloaded as a zip. ```text README.md 5 KB ``` ## Source [Juanpabl/asr-aragones-demo on Hugging Face](https://huggingface.co/spaces/Juanpabl/asr-aragones-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 | | --- | --- | --- | --- | --- | | Transcripción automatica en aragonés (this page) | 1 | gradio | apache-2.0 | 2026-11-09 | | [MusicGen](https://mindket.com/p/07af2531-69de-4005-a4f6-8c16dd10048d) | 5,116 | gradio | cc-by-nc-4.0 | 2026-05-27 | | [Kokoro TTS](https://mindket.com/p/aa996ded-5768-48f4-b403-33520c1b1bdf) | 3,556 | gradio | apache-2.0 | 2025-04-09 | | [Background Removal](https://mindket.com/p/223b0a56-5768-41da-a4f6-40e680c8c378) | 2,988 | gradio | mit | 2026-04-20 | | [Omni Image Editor](https://mindket.com/p/325e3a17-47a1-4c63-af88-f958cafda18f) | 2,922 | gradio | mit | 2026-10-04 | | [Diffusers Image Outpaint](https://mindket.com/p/17629f6c-cc47-4be0-bc83-ff22dfa7389a) | 2,565 | gradio | apache-2.0 | 2026-05-13 | 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: 2026-11-09 - First published: 2026-11-07 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open Juanpabl/asr-aragones-demo on Hugging Face](https://huggingface.co/spaces/Juanpabl/asr-aragones-demo) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/51757d0c-ba4b-4dff-bfd9-bc44454e8096) - [Its page on Mindket](https://mindket.com/p/51757d0c-ba4b-4dff-bfd9-bc44454e8096)