We translate sign language. Automatically.

SignAll has developed technology leveraging AI and computer vision that is able to recognize and translate sign language. It can be used in both business and education.
A guy verbally asks a question to a librarian. The girl librarian answers in sign language. The girl is depicted with control points for A.S.L. translation, suitable for computer vision

SignAll's technology captures the key elements of sign language.

Using advanced natural language processing and machine translation methodologies, visual input is converted into meaningful data for effective sign language recognition and translation.

Spontaneous communication between the Deaf and hearing

SignAll is the only developer which successfully employs AI-driven technology for  translating sign language into spoken language.

A real-life chat in a welcome center between a young guy who is signing and a young woman who is speakingScreenshot of a Deaf person using SignAll Chat
A real-life photo of a SignAll Learn Lab system. Two students watch an ASL video lesson. One of them practices signing, another one observesSplit screen. On the left is a deaf teacher showing a handshape. On the right is a student repeating the handshape

Leading-edge technology for learning sign language

A compact modern workstation and ASL app for computers with advanced AI-driven tools for classrooms and businesses.

Access hundreds of ASL videos on any device

Use SignAll Online, an ASL app for web, for complete flexibility to practice sign language on your phone, tablet, or computer.

Two female students watch an ASL video lesson on a laptopScreenshot of a quiz at SignAll Online  - ASL video library
“The students love it! They have told me that it's helped their fingerspelling flow. Also, they mentioned that they didn't realize they were forming a letter incorrectly (ie: F for D) until they kept getting it wrong on the SignAII!”
Jessica Minor
Professor at Sinclair College

Cameras are used to capture, analyze, and translate the core elements of sign language

Sign Language is a complex and nuanced language that consists of different elements. SignAll has developed innovative, patent-pending technology combining computer vision, machine learning, and natural-language processing algorithms.


The space and location used by the signer are part of the non-manual markers of sign language.


The shape, orientation, movement, and location of the hands are some of the key parameters of sign language.


Other non-manual markers include the eyes, mouth, brows, or head movements such as nodding or shaking.

Learn more about our technology
Smiling and signing woman

Our Vision

SignAll offers solutions that allow Deaf and Hard of Hearing to communicate with other people spontaneously and effectively – anytime and anywhere.

SignAll can assist your organization in becoming more accessible to the Deaf and Hard of Hearing. With SignAll, you are not just promoting sign language learning, but a larger commitment to ASL through technology for your employees, customers and community.

See more of what we’re up to at SignAll