Identify sign language
using AI
Below is a free classifier to identify sign language. Just upload your image, and our AI will predict which letter or number it is - in just seconds.
Tool works best with close-up of hand. Looks for letters and numbers only.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("sign-language-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/sign-language-identifier/invoke', {
method: 'POST',
headers: {
'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
'Content-Type': 'application/json',
},
body: JSON.stringify(
{"data": "your_image_url"}
)
})
.then(response => response.json())
.then(data => console.log(data));
curl -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_BEARER_TOKEN" \
-d '{"data": "your_image_url"}' \
https://www.nyckel.com/v1/functions/sign-language-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict which letter or number it is.
This pretrained image model uses the nmins sign language dataset and has 35 labels, including A, B, C, 1, and 31 more..
We'll also show a confidence score (the higher the number, the more confident the AI model is around which letter or number it is).
Whether you're just curious or building sign language detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify sign language at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Education and Learning Platforms: Provide interactive learning tools for students learning sign language, allowing them to verify their sign language gestures in real-time.
- Accessibility Services: Offer real-time sign language interpretation for deaf or hard-of-hearing individuals in various public services like hospitals, courts, or customer service.
- Virtual Meetings and Conferences: Integrate real-time sign language translation in virtual meeting platforms to make online conferences and webinars more accessible.
- Automated Sign Language Tutoring Apps: Develop applications that teach sign language, giving users immediate feedback on their sign language proficiency.
- Multimedia Content Creation: Incorporate sign language recognition into video editing software to automatically subtitle or translate sign language in videos.
- Human-Computer Interaction Research: Enhance research in human-computer interaction by analyzing sign language gestures, contributing to more inclusive technology development.
- Emergency and Public Safety Announcements: Translate emergency broadcasts into sign language in real-time, ensuring critical information is accessible to the deaf and hard-of-hearing community.