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.
Voice is the primary way we interact with the world. From virtual meetings to content studios and call centers, audio data is a goldmine of information for knowledge workers.
Audio Intelligence AI is the key to unlocking it. AI-powered tools, capable of transcribing, summarising, and enriching audio and speech data are becoming essential for businesses of all sizes looking to streamline their workflows, improve productivity, and enhance collaboration. Speech-to-text AI benefits more and more businesses every day.
Best part? The underlying tech is becoming truly accessible. While previous-generation tools were often discarded by companies due to poor quality, slow performance, and high costs, Speech AI is entering an exciting phase where its core component — audio transcription — is gradually becoming a commodity through state-of-the-art APIs.
In this post, we’ll explore some of the ways that Gladia’s Audio Intelligence API can help businesses across industries turn raw audio data into actionable knowledge.
As online meetings became the new norm of our work lives, so did audio transcription — a rich source of insights into the number of participants and their sentiments, as well as the key talking points discussed. Beyond generating accurate transcriptions in seconds, AI voice tech can take notes and produce snapshot summaries optimized for sharing with the rest of the team and other stakeholders. What better way to keep everyone aligned while saving time?
Learn more about the value of language AI for web conferencing platforms here.
Workspace collaboration platforms — think chat platforms, kanban board, Gantt chart tools, or any other solutions that help teams organize and share knowledge internally — can be equally enhanced with AI audio intelligence tech.
Platforms of this kind are defined by large volumes of multimedia files (messages, PDFs, URLs, voice memos, etc). By embedding audio intelligence features like topic classification, summarisation, and semantic search into your collaboration platform, you open up a range of new possibilities for the final user to exchange information more efficiently. For example, long meetings with clients or voice memos are translated almost instantly into actionable bullet-point summaries available to everyone in the organization.
Learn more about boosting your productivity and knowledge management practices with AI here.
Content creation can be a time-consuming process. Be it for videos, podcasts, or on-tape interviews, transcription is becoming one of the key prerequisites for efficient editing and successful distribution.
Thanks to Gladia’s speaker detection (diarization), compatible with any audio file, your transcriptions are not only accurate and quick to produce but also easy to read. We provide subtitle-ready output files to replace error-ridden automatic captions on YouTube and other video streaming or social media platforms. With our translation feature, supporting 99 languages (and counting!), your users can even aspire to reach a more international audience.
Learn more about the benefits of language AI for content platforms here.
Call center enterprises have been among the first to adopt automatic speech recognition (ASR) — and for a good reason. Given the high volume of calls, it is essential for customer support departments to get the right insights delivered to front-line operators fast to reduce the average handle time, improve efficiency and boost customer satisfaction. Gladia’s Speech AI can help with the above while guaranteeing security and privacy compliance.
You can find a more detailed breakdown of our offer for call centers here.
Taking stock, Speech-to-text AI technology has numerous applications to help businesses improve their workflows and gain valuable insights into their customers’ needs. By harnessing the power of Audio Intelligence, businesses can save time, reduce errors, and improve collaboration and productivity by a margin.
At Gladia, we built an optimized version of Whisper in the form of an API, adapted to real-life use cases and distinguished by exceptional accuracy, speed, extended multilingual capabilities and state-of-the art add-ons, including speaker diarization and word-level timestamps.
Speech-To-Text
Large Language Models (LLMs) are at the forefront of the democratization of AI and they continue to get more advanced. However, LLMs can suffer from performance issues, and produce inaccurate, misleading, or biased information, leading to poor user experience and creating difficulties for product builders.
Speech-To-Text
Over the last few years, Large Language Models (LLMs) have become accessible and transformative tools, powering everything from customer support and content generation to complex, industry-specific applications in healthcare, education, and finance.
Case Studies
In recent years, fuelled by advancements in LLMs, the numbers of AI note-takers has skyrocketed. These apps are increasingly tailored to meet the unique needs of specific user groups, such as doctors, sales teams and project managers.
