Using advanced natural language processing and machine translation methodologies, visual input is converted into meaningful data for effective sign language recognition and translation.
SignAll is the only developer which successfully employs AI-driven technology for translating sign language into spoken language.
A compact modern workstation and ASL app for computers with advanced AI-driven tools for classrooms and businesses.
Use SignAll Online, an ASL app for web, for complete flexibility to practice sign language on your phone, tablet, or computer.
“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!”
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.
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.
Ace ASL, the first sign language app using AI to provide live feedback on your signs, is now available for Android. Ace ASL from SignAll uses your phone’s camera to recognize and assess your American Sign Language (ASL) signs in real time.
SignAll Technologies signed a contract with the Fortune500 company to install SignAll’s ASL learning technology at one of Boeing’s sites. Within its framework, SignAll Technologies provides its SignAll Learn Lab to complement ASL classes which are offered to Boeing employees.
