Use case
Workspace
Collaboration
Speech AI at the service of international teams
Enhance collaboration across departments, streamline operations, and improve knowledge management. Gladia API is optimized to improve communication across languages and cultures, boost knowledge sharing and enhance team collaboration.
Top features
Voice-to-text messages
Transcribe corporate voice memos into text format, allowing team members to easily read and respond to messages without having to listen to long voicemails.
Translation
Transcribe voice and video conversations in real time and translate them into 99 languages, allowing international team members to communicate seamlessly in their preferred language.
Transcription
Automatically transcribe voice and video meetings, allowing team members access and review meeting notes, decisions made, and action items. Ideal for remote teams and companies that keep track of meeting minutes for compliance or project management purposes.
Audio Indexing & NER
Index every transcribed audio and video in your content library by topics and keywords for easy searchability and accessibility. Invaluable for companies that produce and distribute a large volume of content.
Some stats on performance
Customized
for your needs
Transcription
Gladia API utilizes automatic speech recognition technology to convert audio, video files, or URL to text format. It transcribes 1h of audio in less than 60s.
Diarization
Based on a proprietary algorithm, automatically partitions an audio recording into segments corresponding to different speakers.
Topic classification
The process of categorizing content into one of the 698 predefined topic categories for content indexation.
Sentiment analysis
Determining the sentiment or opinion behind a piece of audio, such as a conversation or dialogue, using natural language processing.
Speech moderation
Allows to automatically identify and flag hate speech or other inappropriate and offensive verbal content according to pre-determined parameters.
Emotion detection
Our emotion recognition system is built upon the latest research and aims to accurately identify and distinguish between 27 human emotions.
We initially attempted to host Whisper AI, which required significant effort to scale. Switching to Gladia's transcription service brought a welcome change.
Read more
Speech-To-Text
Key techniques to improve the accuracy of your LLM app: Prompt engineering vs Fine-tuning vs RAG
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
Keeping LLMs accurate: Your guide to reducing hallucinations
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
Transforming note-taking for students with AI transcription
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.