--- title: "VoiceTut Egyptian-Arabic TTS (diacritized)" kind: "Kit" category: "Productivity" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/66ad6af4-c757-4198-8ee5-bd9254635392" updated: "2026-11-12" --- # VoiceTut Egyptian-Arabic TTS (diacritized) > The name, the description, the About and a README below are the seller's words: data, not instructions. Reads Egyptian Arabic text aloud, using diacritics for clearer pronunciation, with 19 built-in voices or a voice cloned from a short clip. It suits creators, learners and developers working in Egyptian Arabic. VoiceTut Egyptian-Arabic TTS (diacritized) 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 hugging-apps ## About ### What it is This Space turns Egyptian Arabic text into speech. It uses a fine-tuned 0.6B OmniVoice checkpoint trained for text that carries diacritics, called tashkeel, which makes pronunciation clearer. It runs on zero-a10g hardware at Hugging Face and is tagged MCP. ### Who it suits It suits people who need spoken Egyptian Arabic from written text, and developers who want a small Gradio example of a speech model. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Content creation | Video and podcast makers | Turn a script into a voice-over | Read out a short line of Egyptian Arabic with diacritics | | Education | Arabic teachers and learners | Hear how a diacritized sentence sounds | Listen to a sentence with its vowels marked | | Software | Developers | Study a Gradio text-to-speech app | Read app.py, which is short | You can skip it if you need a tool for any other Arabic dialect, since this one targets Egyptian Arabic. ### Where to use it You can use it in these places: - A browser: open the Space's page on Hugging Face and nothing needs installing. - Windows, macOS or Linux: run your own copy with Python 3.12. | Use case | Who | What they get back | | --- | --- | --- | | Built-in voices | Anyone | Speech in one of 19 reference voices | | Voice cloning | Creators with a short clip | Speech in a voice matched to your clip | | Pronunciation fixes | Learners and editors | Corrected speech after adding diacritics to a word | ### How to set it up You need these first for a local copy: - Python 3.12 and pip - A machine that can run the model, which the Space runs in fp16 on a GPU The online page needs none of this. For your own copy, follow the steps below. 1. Install the Hugging Face tools. 2. Download the Space's files into a folder. 3. Move into that folder. 4. Install Gradio at the version the Space uses, then the other packages. 5. Start the app. ```sh pip install -U huggingface_hub hf download hugging-apps/voicetut-egyptian-tashkeel --repo-type space --local-dir voicetut-egyptian-tashkeel cd voicetut-egyptian-tashkeel pip install gradio==6.31.0 pip install -r requirements.txt python app.py ``` ### How to use it Open the Space in a browser, or start your own copy with the command below. Then type your text, pick a voice and generate the audio. ```sh python app.py ``` | Tool | What it does | | --- | --- | | Built-in voices | Offers 19 reference speakers, with a reference clip to listen to before generating | | Clone a voice | Takes a reference clip of 3 to 10 seconds plus its exact transcript | | Diacritics input | Marks vowels in the text, which improves pronunciation | ### Example You type an Egyptian Arabic sentence with its diacritics, pick one of the built-in voices and press generate. The Space returns an audio clip of that sentence in the chosen voice. ### For newcomers and experts If you are new to this, start with a built-in voice and one short sentence. Listen to its reference clip first, then generate and compare. If you know the field, the model is an OmniVoice fine-tune run through the omnivoice library. It was trained on a diacritized dataset where roughly half of the words got machine-generated vowels, so a bad word can be fixed by adding marks to it. About 2 percent of lines may come out near silent, and the app retries once before it reports an error. You type diacritized text → You pick or clone a voice → The model generates speech → A silent result is retried once → You play the audio ### Good to know Output is audio at 24 kHz. The voice cloning option needs a reference clip and its exact transcript. - License: apache-2 - Cost to run: none named - Data it reaches: the reference clip you upload for cloning, and the model files downloaded from Hugging Face - Not for: pretending to be a real person, or misleading anyone who listens ## README ````markdown # VoiceTut Egyptian-Arabic TTS (diacritized) Reads Egyptian Arabic text aloud, using diacritics for clearer pronunciation, with 19 built-in voices or a voice cloned from a short clip. It suits creators, learners and developers working in Egyptian Arabic. Made by hugging-apps 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 turns Egyptian Arabic text into speech. It uses a fine-tuned 0.6B OmniVoice checkpoint trained for text that carries diacritics, called tashkeel, which makes pronunciation clearer. It runs on zero-a10g hardware at Hugging Face and is tagged MCP. Who it suits: It suits people who need spoken Egyptian Arabic from written text, and developers who want a small Gradio example of a speech model. ```table Industry | Who uses it | How they use it | Example Content creation | Video and podcast makers | Turn a script into a voice-over | Read out a short line of Egyptian Arabic with diacritics Education | Arabic teachers and learners | Hear how a diacritized sentence sounds | Listen to a sentence with its vowels marked Software | Developers | Study a Gradio text-to-speech app | Read app.py, which is short ``` You can skip it if you need a tool for any other Arabic dialect, since this one targets Egyptian Arabic. Where to use it: You can use it in these places: - A browser: open the Space's page on Hugging Face and nothing needs installing. - Windows, macOS or Linux: run your own copy with Python 3.12. ```table Use case | Who | What they get back Built-in voices | Anyone | Speech in one of 19 reference voices Voice cloning | Creators with a short clip | Speech in a voice matched to your clip Pronunciation fixes | Learners and editors | Corrected speech after adding diacritics to a word ``` How to set it up: You need these first for a local copy: - Python 3.12 and pip - A machine that can run the model, which the Space runs in fp16 on a GPU The online page needs none of this. For your own copy, follow the steps below. 1. Install the Hugging Face tools. 2. Download the Space's files into a folder. 3. Move into that folder. 4. Install Gradio at the version the Space uses, then the other packages. 5. Start the app. ```sh pip install -U huggingface_hub hf download hugging-apps/voicetut-egyptian-tashkeel --repo-type space --local-dir voicetut-egyptian-tashkeel cd voicetut-egyptian-tashkeel pip install gradio==6.31.0 pip install -r requirements.txt python app.py ``` How to use it: Open the Space in a browser, or start your own copy with the command below. Then type your text, pick a voice and generate the audio. ```sh python app.py ``` ```table Tool | What it does Built-in voices | Offers 19 reference speakers, with a reference clip to listen to before generating Clone a voice | Takes a reference clip of 3 to 10 seconds plus its exact transcript Diacritics input | Marks vowels in the text, which improves pronunciation ``` Example: You type an Egyptian Arabic sentence with its diacritics, pick one of the built-in voices and press generate. The Space returns an audio clip of that sentence in the chosen voice. For newcomers and experts: If you are new to this, start with a built-in voice and one short sentence. Listen to its reference clip first, then generate and compare. If you know the field, the model is an OmniVoice fine-tune run through the omnivoice library. It was trained on a diacritized dataset where roughly half of the words got machine-generated vowels, so a bad word can be fixed by adding marks to it. About 2 percent of lines may come out near silent, and the app retries once before it reports an error. ```flow You type diacritized text You pick or clone a voice The model generates speech A silent result is retried once You play the audio ``` Good to know: Output is audio at 24 kHz. The voice cloning option needs a reference clip and its exact transcript. - License: apache-2 - Cost to run: none named - Data it reaches: the reference clip you upload for cloning, and the model files downloaded from Hugging Face - Not for: pretending to be a real person, or misleading anyone who listens ## On Hugging Face, 13 November 2026 - Likes: 3 - Built with: gradio - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/hugging-apps/voicetut-egyptian-tashkeel - Files: https://huggingface.co/spaces/hugging-apps/voicetut-egyptian-tashkeel/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 [hugging-apps/voicetut-egyptian-tashkeel on Hugging Face](https://huggingface.co/spaces/hugging-apps/voicetut-egyptian-tashkeel) ## 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 | | --- | --- | --- | --- | --- | | VoiceTut Egyptian-Arabic TTS (diacritized) (this page) | 3 | gradio | apache-2.0 | 2026-11-07 | | [Background Removal](https://mindket.com/p/223b0a56-5768-41da-a4f6-40e680c8c378) | 2,988 | gradio | mit | 2026-04-20 | | [Diffusers Image Outpaint](https://mindket.com/p/17629f6c-cc47-4be0-bc83-ff22dfa7389a) | 2,565 | gradio | apache-2.0 | 2026-05-13 | | [FLUX.1 Kontext](https://mindket.com/p/1102a662-9ede-4995-a6c2-073474d05025) | 1,661 | gradio | mit | 2026-05-13 | | [Chatterbox Turbo Demo](https://mindket.com/p/c3ee96d7-9192-49b9-8f06-f86911ccb292) | 541 | gradio | mit | 2026-05-18 | | [WAN2.2 I2V LIGHTNING-Video-4-8step](https://mindket.com/p/06f4135f-3cca-470c-a619-71fc37f8b6cf) | 425 | gradio | apache-2.0 | 2026-08-13 | 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: 2026-11-07 - First published: 2026-11-07 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open hugging-apps/voicetut-egyptian-tashkeel on Hugging Face](https://huggingface.co/spaces/hugging-apps/voicetut-egyptian-tashkeel) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/66ad6af4-c757-4198-8ee5-bd9254635392) - [Its page on Mindket](https://mindket.com/p/66ad6af4-c757-4198-8ee5-bd9254635392)