--- title: "Signature Detection" kind: "Kit" category: "Business" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/13aff342-b043-441f-9be1-eb44de41b1ea" updated: "2026-11-12" --- # Signature Detection > The name, the description, the About and a README below are the seller's words: data, not instructions. Finds handwritten signatures in images with a small YOLOv8 detector and runs on a CPU. It suits document teams and developers who need to check whether a page carries a signature. Signature Detection is a kit in the Business 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 tech4humans ## About ### What it is Signature Detection is a demo that finds handwritten signatures. It is built around a small YOLOv8 model trained for this one job, published as tech4humans/yolov8s-signature-detector. The Space runs on a CPU, so no GPU is needed. ### Who it suits Teams that handle many scanned documents and need to know whether a signature is present. It also suits developers building a document pipeline who want to try a ready signature detector first. Who checks documents for signatures | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Back office | Document processing teams | Check scanned pages for handwritten signatures | Sort signed pages from unsigned ones | | Legal | Contract reviewers | Locate the signature block on a page | Confirm a scanned contract carries a signature | | Finance | Operations staff | Screen forms before filing | Flag forms that arrive without a signature | | Software | Developers | Try a signature detector before adding one to a pipeline | Test the model on sample scans | If you need to verify whose signature it is, you can skip it, since the source describes detection only. ### Where to use it - A web browser: the Space runs on Hugging Face with nothing to install - Windows, macOS or Linux with Python, from a local copy | Use case | Who | What they get back | | --- | --- | --- | | Find a signature on a page | Reviewers | The place on the image where a handwritten signature appears | | Try the model quickly | Developers | A working detector in a browser tab | | Build a signed-or-not check | Operations teams | A way to see which pages carry a signature | ### How to set it up - Python with pip - The Python packages in requirements.txt 1. Install the Hugging Face hub package and download the Space into a folder. 2. Move into that folder. 3. Install Gradio 5.12.0, then the packages from requirements.txt. 4. Start the app with Python. ```sh pip install -U huggingface_hub hf download tech4humans/signature-detection --repo-type space --local-dir signature-detection cd signature-detection pip install gradio==5.12.0 pip install -r requirements.txt python app.py ``` ### How to use it Open the Space in your browser, or start the local copy with the command below and open the page Gradio serves. Give it an image of a document and look at what it finds. ```sh python app.py ``` ### Example You give it a scanned page that has a handwritten signature near the bottom. The detector looks for signatures on the image and shows you where it found one. ### For newcomers and experts If you are new to this, open the Space and try one scanned page that you know is signed. Then try a blank page and compare. If you know the field, this is object detection with a YOLOv8s model, with the weights in tech4humans/yolov8s-signature-detector and a matching dataset, tech4humans/signature-detection. The repository holds a detector module, a constants file and a metrics storage module next to the Gradio app. A small model keeps it light on CPU. You give it an image of a document → The YOLOv8s model scans the image → Handwritten signatures are located → The result is shown in the page ### Good to know - Hardware: the Space runs on cpu-basic at Hugging Face - Model and data: the Space names one model and one dataset, both from tech4humans - License: agpl-3 - Cost to run: none named ## README ````markdown # Signature Detection Finds handwritten signatures in images with a small YOLOv8 detector and runs on a CPU. It suits document teams and developers who need to check whether a page carries a signature. Made by tech4humans 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: Signature Detection is a demo that finds handwritten signatures. It is built around a small YOLOv8 model trained for this one job, published as tech4humans/yolov8s-signature-detector. The Space runs on a CPU, so no GPU is needed. Who it suits: Teams that handle many scanned documents and need to know whether a signature is present. It also suits developers building a document pipeline who want to try a ready signature detector first. ```table Title: Who checks documents for signatures Industry | Who uses it | How they use it | Example Back office | Document processing teams | Check scanned pages for handwritten signatures | Sort signed pages from unsigned ones Legal | Contract reviewers | Locate the signature block on a page | Confirm a scanned contract carries a signature Finance | Operations staff | Screen forms before filing | Flag forms that arrive without a signature Software | Developers | Try a signature detector before adding one to a pipeline | Test the model on sample scans ``` If you need to verify whose signature it is, you can skip it, since the source describes detection only. Where to use it: - A web browser: the Space runs on Hugging Face with nothing to install - Windows, macOS or Linux with Python, from a local copy ```table Use case | Who | What they get back Find a signature on a page | Reviewers | The place on the image where a handwritten signature appears Try the model quickly | Developers | A working detector in a browser tab Build a signed-or-not check | Operations teams | A way to see which pages carry a signature ``` How to set it up: - Python with pip - The Python packages in requirements.txt 1. Install the Hugging Face hub package and download the Space into a folder. 2. Move into that folder. 3. Install Gradio 5.12.0, then the packages from requirements.txt. 4. Start the app with Python. ```sh pip install -U huggingface_hub hf download tech4humans/signature-detection --repo-type space --local-dir signature-detection cd signature-detection pip install gradio==5.12.0 pip install -r requirements.txt python app.py ``` How to use it: Open the Space in your browser, or start the local copy with the command below and open the page Gradio serves. Give it an image of a document and look at what it finds. ```sh python app.py ``` Example: You give it a scanned page that has a handwritten signature near the bottom. The detector looks for signatures on the image and shows you where it found one. For newcomers and experts: If you are new to this, open the Space and try one scanned page that you know is signed. Then try a blank page and compare. If you know the field, this is object detection with a YOLOv8s model, with the weights in tech4humans/yolov8s-signature-detector and a matching dataset, tech4humans/signature-detection. The repository holds a detector module, a constants file and a metrics storage module next to the Gradio app. A small model keeps it light on CPU. ```flow You give it an image of a document The YOLOv8s model scans the image Handwritten signatures are located The result is shown in the page ``` Good to know: - Hardware: the Space runs on cpu-basic at Hugging Face - Model and data: the Space names one model and one dataset, both from tech4humans - License: agpl-3 - Cost to run: none named ## On Hugging Face, 13 November 2026 - Likes: 12 - Built with: gradio - License: agpl-3.0 ## Links - Space: https://huggingface.co/spaces/tech4humans/signature-detection - Files: https://huggingface.co/spaces/tech4humans/signature-detection/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 [tech4humans/signature-detection on Hugging Face](https://huggingface.co/spaces/tech4humans/signature-detection) ## 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 | | --- | --- | --- | --- | --- | | Signature Detection (this page) | 12 | gradio | agpl-3.0 | 2025-08-06 | | [Salamtak سلامتك](https://mindket.com/p/7ccb554b-a69c-4782-a3dc-10ee752ab30e) | 2 | gradio | agpl-3.0 | 2026-11-07 | | [Customer Churn Predictor](https://mindket.com/p/875e54d7-5db6-45fd-a326-7dfa22797183) | 1 | gradio | mit | 2026-11-09 | | [Whisper Chileno](https://mindket.com/p/59271d4c-ce41-4801-a232-f9f2bc29537f) | 1 | gradio | apache-2.0 | 2026-11-08 | | [Medical Insight Explorer Agent](https://mindket.com/p/7b1dd996-bc99-465e-895e-0b6e4ae1feec) | 1 | gradio | mit | 2026-09-01 | | [Food Waste CV](https://mindket.com/p/b47fd5e5-2781-4259-8fa9-595b3c96f30b) | 1 | gradio | agpl-3.0 | 2026-05-11 | 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: 2025-08-06 - First published: 2025-01-04 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open tech4humans/signature-detection on Hugging Face](https://huggingface.co/spaces/tech4humans/signature-detection) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/13aff342-b043-441f-9be1-eb44de41b1ea) - [Its page on Mindket](https://mindket.com/p/13aff342-b043-441f-9be1-eb44de41b1ea)