--- title: "Parakeet Ultra Transcriptor" kind: "Kit" category: "Productivity" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/f7fbf5e2-f547-4121-a9c8-a3d91a795995" updated: "2026-11-12" --- # Parakeet Ultra Transcriptor > The name, the description, the About and a README below are the seller's words: data, not instructions. Turns an uploaded audio or video file into full text, with a TXT download and an SRT subtitle file when word timings allow. The interface is in Spanish, and it suits students and anyone transcribing recordings. Parakeet Ultra Transcriptor 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 Zangurak1 ## About ### What it is This Space transcribes audio or video into text. You upload a file, read the full text and download it as UTF-8 TXT, plus an SRT subtitle file when the timings are usable. It uses the moondream parakeet-ultra model with a Spanish interface and runs on zero-a10g hardware at Hugging Face. ### Who it suits It suits students and other people who need the text of a recorded class, talk or video, and developers who want to see how a transcription app handles limits and privacy. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Education | Students and teachers | Turn a recorded class into text for study | Upload a lecture video and download the TXT | | Media | Video editors | Get subtitles from a recording | Download the SRT file for a clip | | Software | Developers | Call the transcription API | Send a file to the public transcribe endpoint | You can skip it if your recordings hold sensitive content, since the page warns against uploading it. ### 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 and ffmpeg. - Gradio's public API: the transcribe endpoint takes one input file. | Use case | Who | What they get back | | --- | --- | --- | | Class transcripts | Students | Full text and a TXT download | | Subtitles | Editors | An SRT file built from real word timings | | API transcription | Developers | Text from a file sent to the endpoint | ### How to set it up You need these first for a local copy: - Python 3.12 and pip - ffmpeg with ffprobe on your PATH - The system packages listed in packages.txt, which Hugging Face installs with apt-get 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 Zangurak1/parakeet-ultra-transcriptor --repo-type space --local-dir parakeet-ultra-transcriptor cd parakeet-ultra-transcriptor pip install gradio==6.31.0 pip install -r requirements.txt python app.py ``` The README also describes a local check on the CPU, for a copy that already has the model in its cache. It does not apply inside a Space. ```bash PARAKEET_LOCAL_CPU=1 python app.py ``` ### How to use it Open the Space in a browser, or start your own copy with the command above. Upload an audio or video file, wait for the text, then download the TXT or the SRT. Files can be up to 3 hours and 2 GB, but long ones may not finish in the GPU time, so split them. | Tool | What it does | | --- | --- | | Text output | Shows the full transcript on the page | | TXT download | Keeps exactly the text the model returned | | SRT download | Builds subtitles from real word timings, grouped by pauses and punctuation | | transcribe endpoint | Gradio's public API, with one input file | ### Example You upload a recording of a class. The Space converts it to mono 16 kHz audio, transcribes it and shows the full text. You then download the TXT, and the SRT too if the timings are valid. ### For newcomers and experts If you are new to this, start with a short recording of a minute or two. Read the text, download the TXT and check the result before you try a long file. If you know the field, the audio goes through ffprobe and ffmpeg on the CPU, with no shell and only file and pipe protocols. Only inference asks for ZeroGPU, with a reservation of at most 120 seconds based on the audio length. SRT uses only the model's word timings and never invents or stretches them. You upload audio or video → ffmpeg converts it to mono WAV → The model transcribes it on a GPU → Text and TXT are saved → SRT is built if timings are valid ### Good to know The authors tested one public 15-second example, which took 16.7 seconds in total, including connection and queue time. Long recordings are untested and may use up the reservation or your quota. The Space does not summarize your classes or send them to ChatGPT. - License: apache-2 - Cost to run: ZeroGPU quota for each run, and no paid service is named - Data it reaches: the audio or video you upload, kept briefly in the Gradio cache for about an hour, and Hugging Face may keep its own logs - Not for: sensitive content, files over 3 hours or 2 GB, or private storage, since download links of a public Space are not private ## README ````markdown # Parakeet Ultra Transcriptor Turns an uploaded audio or video file into full text, with a TXT download and an SRT subtitle file when word timings allow. The interface is in Spanish, and it suits students and anyone transcribing recordings. Made by Zangurak1 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 transcribes audio or video into text. You upload a file, read the full text and download it as UTF-8 TXT, plus an SRT subtitle file when the timings are usable. It uses the moondream parakeet-ultra model with a Spanish interface and runs on zero-a10g hardware at Hugging Face. Who it suits: It suits students and other people who need the text of a recorded class, talk or video, and developers who want to see how a transcription app handles limits and privacy. ```table Industry | Who uses it | How they use it | Example Education | Students and teachers | Turn a recorded class into text for study | Upload a lecture video and download the TXT Media | Video editors | Get subtitles from a recording | Download the SRT file for a clip Software | Developers | Call the transcription API | Send a file to the public transcribe endpoint ``` You can skip it if your recordings hold sensitive content, since the page warns against uploading it. 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 and ffmpeg. - Gradio's public API: the transcribe endpoint takes one input file. ```table Use case | Who | What they get back Class transcripts | Students | Full text and a TXT download Subtitles | Editors | An SRT file built from real word timings API transcription | Developers | Text from a file sent to the endpoint ``` How to set it up: You need these first for a local copy: - Python 3.12 and pip - ffmpeg with ffprobe on your PATH - The system packages listed in packages.txt, which Hugging Face installs with apt-get 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 Zangurak1/parakeet-ultra-transcriptor --repo-type space --local-dir parakeet-ultra-transcriptor cd parakeet-ultra-transcriptor pip install gradio==6.31.0 pip install -r requirements.txt python app.py ``` The README also describes a local check on the CPU, for a copy that already has the model in its cache. It does not apply inside a Space. ```bash PARAKEET_LOCAL_CPU=1 python app.py ``` How to use it: Open the Space in a browser, or start your own copy with the command above. Upload an audio or video file, wait for the text, then download the TXT or the SRT. Files can be up to 3 hours and 2 GB, but long ones may not finish in the GPU time, so split them. ```table Tool | What it does Text output | Shows the full transcript on the page TXT download | Keeps exactly the text the model returned SRT download | Builds subtitles from real word timings, grouped by pauses and punctuation transcribe endpoint | Gradio's public API, with one input file ``` Example: You upload a recording of a class. The Space converts it to mono 16 kHz audio, transcribes it and shows the full text. You then download the TXT, and the SRT too if the timings are valid. For newcomers and experts: If you are new to this, start with a short recording of a minute or two. Read the text, download the TXT and check the result before you try a long file. If you know the field, the audio goes through ffprobe and ffmpeg on the CPU, with no shell and only file and pipe protocols. Only inference asks for ZeroGPU, with a reservation of at most 120 seconds based on the audio length. SRT uses only the model's word timings and never invents or stretches them. ```flow You upload audio or video ffmpeg converts it to mono WAV The model transcribes it on a GPU Text and TXT are saved SRT is built if timings are valid ``` Good to know: The authors tested one public 15-second example, which took 16.7 seconds in total, including connection and queue time. Long recordings are untested and may use up the reservation or your quota. The Space does not summarize your classes or send them to ChatGPT. - License: apache-2 - Cost to run: ZeroGPU quota for each run, and no paid service is named - Data it reaches: the audio or video you upload, kept briefly in the Gradio cache for about an hour, and Hugging Face may keep its own logs - Not for: sensitive content, files over 3 hours or 2 GB, or private storage, since download links of a public Space are not private ## On Hugging Face, 13 November 2026 - Likes: 3 - Built with: gradio - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/Zangurak1/parakeet-ultra-transcriptor - Files: https://huggingface.co/spaces/Zangurak1/parakeet-ultra-transcriptor/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 [Zangurak1/parakeet-ultra-transcriptor on Hugging Face](https://huggingface.co/spaces/Zangurak1/parakeet-ultra-transcriptor) ## 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 | | --- | --- | --- | --- | --- | | Parakeet Ultra Transcriptor (this page) | 3 | gradio | apache-2.0 | 2026-11-02 | | [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: 2026-11-02 - First published: 2026-11-02 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open Zangurak1/parakeet-ultra-transcriptor on Hugging Face](https://huggingface.co/spaces/Zangurak1/parakeet-ultra-transcriptor) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/f7fbf5e2-f547-4121-a9c8-a3d91a795995) - [Its page on Mindket](https://mindket.com/p/f7fbf5e2-f547-4121-a9c8-a3d91a795995)