Speech-To-Text
Until recently, AI speech-to-text has been reserved for the happy few. But commodification is on its way. As prices dropped while the accuracy and speed of transcription increased, there has been an explosion of speech-to-text providers catering to a broader range of companies and use cases. In this article, we give you a bird's-eye view of the market and introduce you to the speed-accuracy-cost tradeoff in audio transcription to help you pick the best Automatic Speech Recognition (ASR) provider for your use case and budget.
Case Studies
A case study showcasing the benefits of Gladia's AI API for Claap, an all-in-one video workspace that implemented our solution to provide its international users with advanced video transcription capabilities.
Product News
Gladia is proud to announce the general availability of its groundbreaking Speech-to-Text API, previously in alpha. The revamped enterprise-grade API supports transcription, speaker diarization, word-level timestamp, code-switching, and beta translation in 99 languages.
Product News
One of the major obstacles for speech-to-text AI has been identifying individual speakers in a multi-speaker audio stream before transcribing the speech. This is where speaker separation, also known as diarization, comes into play.
Product News
A glimpse into Gladia's roadmap for its Speech-to-Text API, starting with speaker diarization. We’re incredibly excited to be building our Audio Intelligence product in a community-led way, delivering a holistic final product adapted to the many needs and use cases brought to our attention.
Speech-To-Text
Speech-to-text AI is entering an exciting phase and becoming a commodity. By powering Audio intelligence, products like Gladia's Audio Transcription API create value for all businesses, from collaboration platforms to content studios to media companies to call centers.
