--- title: "Deepfake Detection System" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/0810c06d-e9c2-41ae-9d18-33de3305fadf" updated: "2026-11-12" --- # Deepfake Detection System > The name, the description, the About and a README below are the seller's words: data, not instructions. A Gradio app named for deepfake detection, for checking whether media may be fake. Runs in your browser on Hugging Face or on your own computer with Python 3.13. Deepfake Detection System 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 saimuddineni ## About ### What it is This Space is a Gradio app named Deepfake Detection System. By its name it checks whether a picture or clip may be a deepfake, which means media made or altered by AI. The README holds only a configuration pointer, so the source gives no feature list. The repository has app.py, requirements.txt and the README. ### Who it suits It suits people who want a quick look at a detector from a browser tab, and developers who want to read a small Gradio app for a detection task. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Journalism | Reporters | Check a suspicious picture or clip | Screening an image before reporting on it | | Trust and safety | Moderators | Try the detector on flagged media | Getting a quick second opinion on a flagged item | | Education | Teachers and students | Open the app and try some examples | Discussing how deepfakes are detected | | AI development | Developers | Read app.py and requirements.txt | Reusing the layout for another detector | Skip it if you need a result you can rely on in a legal or news setting, since the source gives no accuracy figures. ### Where to use it The app runs in these places. - A web browser, on the Space's page at Hugging Face - A local copy on Windows, macOS or Linux, running Python 3.13 - Hugging Face's cpu-basic hardware, where the online Space runs | Use case | Who | What they get back | | --- | --- | --- | | Check a piece of media | Anyone | A detection result in the browser page | | Run a private copy | Developers | The same app on their own machine | | Study the code | Learners | A short Gradio app with two code files | ### How to set it up Online you only need a browser. A local copy needs these. - Python 3.13 on Windows, macOS or Linux - The pip command 1. Install the huggingface\_hub package. 2. Download the Space's files into a folder with the hf command. 3. Move into that folder. 4. Install gradio at version 6.18.0. 5. Install the packages listed in requirements.txt. 6. Start the app with python app.py. ```sh pip install -U huggingface_hub hf download saimuddineni/deepfake-detection-system --repo-type space --local-dir deepfake-detection-system cd deepfake-detection-system pip install gradio==6.18.0 pip install -r requirements.txt python app.py ``` ### How to use it Open the Space's page, or run the command below in your copy and open the page the app serves. Then add the media you want checked and run it. ```sh python app.py ``` ### Example You open the Space, add a picture you want checked and run it. The app shows its detection result on the page, though the source does not describe the exact output. ### For newcomers and experts If you are new, open the Space's page and try a picture whose origin you know. A known case helps you judge how far to trust the answer. If you know the field, the repository is small, with app.py and requirements.txt, and the app uses Gradio 6.18.0 on Python 3.13. The source names no model repository, so it does not say how detection is done or how accurate it is. Open the Space page or run app.py → Add the media to check → The app runs its detection → The result shows on the same page ### Good to know The source gives only names and files. Treat any detector result as a hint and not as proof. - License: MIT - Cost to run: none named - Data it reaches: the media you give it. The source says nothing else. ## README ````markdown # Deepfake Detection System A Gradio app named for deepfake detection, for checking whether media may be fake. Runs in your browser on Hugging Face or on your own computer with Python 3.13. Made by saimuddineni 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 Gradio app named Deepfake Detection System. By its name it checks whether a picture or clip may be a deepfake, which means media made or altered by AI. The README holds only a configuration pointer, so the source gives no feature list. The repository has app.py, requirements.txt and the README. Who it suits: It suits people who want a quick look at a detector from a browser tab, and developers who want to read a small Gradio app for a detection task. ```table Industry | Who uses it | How they use it | Example Journalism | Reporters | Check a suspicious picture or clip | Screening an image before reporting on it Trust and safety | Moderators | Try the detector on flagged media | Getting a quick second opinion on a flagged item Education | Teachers and students | Open the app and try some examples | Discussing how deepfakes are detected AI development | Developers | Read app.py and requirements.txt | Reusing the layout for another detector ``` Skip it if you need a result you can rely on in a legal or news setting, since the source gives no accuracy figures. Where to use it: The app runs in these places. - A web browser, on the Space's page at Hugging Face - A local copy on Windows, macOS or Linux, running Python 3.13 - Hugging Face's cpu-basic hardware, where the online Space runs ```table Use case | Who | What they get back Check a piece of media | Anyone | A detection result in the browser page Run a private copy | Developers | The same app on their own machine Study the code | Learners | A short Gradio app with two code files ``` How to set it up: Online you only need a browser. A local copy needs these. - Python 3.13 on Windows, macOS or Linux - The pip command 1. Install the huggingface_hub package. 2. Download the Space's files into a folder with the hf command. 3. Move into that folder. 4. Install gradio at version 6.18.0. 5. Install the packages listed in requirements.txt. 6. Start the app with python app.py. ```sh pip install -U huggingface_hub hf download saimuddineni/deepfake-detection-system --repo-type space --local-dir deepfake-detection-system cd deepfake-detection-system pip install gradio==6.18.0 pip install -r requirements.txt python app.py ``` How to use it: Open the Space's page, or run the command below in your copy and open the page the app serves. Then add the media you want checked and run it. ```sh python app.py ``` Example: You open the Space, add a picture you want checked and run it. The app shows its detection result on the page, though the source does not describe the exact output. For newcomers and experts: If you are new, open the Space's page and try a picture whose origin you know. A known case helps you judge how far to trust the answer. If you know the field, the repository is small, with app.py and requirements.txt, and the app uses Gradio 6.18.0 on Python 3.13. The source names no model repository, so it does not say how detection is done or how accurate it is. ```flow Open the Space page or run app.py Add the media to check The app runs its detection The result shows on the same page ``` Good to know: The source gives only names and files. Treat any detector result as a hint and not as proof. - License: MIT - Cost to run: none named - Data it reaches: the media you give it. The source says nothing else. ## On Hugging Face, 13 November 2026 - Likes: 1 - Built with: gradio - License: mit ## Links - Space: https://huggingface.co/spaces/saimuddineni/deepfake-detection-system - Files: https://huggingface.co/spaces/saimuddineni/deepfake-detection-system/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 [saimuddineni/deepfake-detection-system on Hugging Face](https://huggingface.co/spaces/saimuddineni/deepfake-detection-system) ## 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 | | --- | --- | --- | --- | --- | | Deepfake Detection System (this page) | 1 | gradio | mit | 2026-06-15 | | [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: 2026-06-15 - First published: 2026-06-13 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open saimuddineni/deepfake-detection-system on Hugging Face](https://huggingface.co/spaces/saimuddineni/deepfake-detection-system) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/0810c06d-e9c2-41ae-9d18-33de3305fadf) - [Its page on Mindket](https://mindket.com/p/0810c06d-e9c2-41ae-9d18-33de3305fadf)