Use case
Virtual Meetings
Every online meeting is a source of knowledge
With Gladia's audio and video transcription API, your virtual meetings become efficient, productive, and secure. Save time, improve customer service, and gain valuable insights from each and every discussion.
Top features
Speech analytics
Analyze speech patterns and identify keywords and phrases, such as customer names, product names, and emotions, to gain valuable insights into customer behavior and sentiment.
Transcription
Transcribe any virtual meeting, conference or webinar asynchronously or in real time. An essential prerequisite for any virtual platform's user experience, speech-to-text can unlock a series of new features for your platform, including note-taking, semantic search and user analytics.
Translation
Translate your international meetings in real time to and from 99 languages. A must-have feature for the global enterprise, allowing teams to communicate seamlessly in their preferred language.
Code-switching supported.
Summarization
Get snapshot summaries of key talking points, decisions made, and action items. Output length can be customized with a prompt, from 100 to up to 1.5k words.
Audio Indexing & NER
As audio data becomes transcribed and labeled, you can easily search and review specific parts of the meeting. Essential for teams that count on retrieving information from a large volume of files quickly.
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
Refers to the process of categorizing content into one of the 698 predefined topic categories for easier 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.
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