Speech-to-Text (STT)
The process of converting spoken language into written text using AI-powered recognition algorithms.
Speech-to-Text (STT), also known as automatic speech recognition (ASR), is a technology that converts spoken language into written text in real-time or from recorded audio. Modern STT engines use deep neural networks, transformer architectures, and large language models to achieve near-human accuracy across dozens of languages and accents. The best STT tools process audio natively on your device with minimal latency, avoiding the delays and privacy concerns of cloud-only solutions. CoScript delivers industry-leading speech-to-text directly on your desktop — no meeting bots, no cloud audio storage.
Experience Speech-to-Text with CoScript
CoScript processes all transcription natively on your desktop — no cloud audio storage, no meeting bots, no browser tabs. Try free today.
Try CoScript Free →Related Terms
Real-Time Transcription
The ability to convert speech into text instantaneously as words are spoken, with minimal latency.
Voice Recognition
AI technology that identifies and processes human speech patterns to understand spoken words.
Natural Language Processing (NLP)
A branch of AI focused on enabling machines to understand, interpret, and generate human language.