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.

video communications platforms
legal
consulting
healthcare
SaaS
e-commerce
finance
government

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

12
%
boost in sales
874
hours
saved processing calls
54
%
more informed decisions

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.

Pricing

Free

Perfect for developers, early-stage startups, and individuals

0

$
/month

(10h/month included)

Pro

Designed to grow with scaling digital companies

0.612

$
/hour

+ $0.144 / hour for live transcription

Entreprise

Custom plan tailored to the modern enterprise

Contact us

We initially attempted to host Whisper AI, which required significant effort to scale. Switching to Gladia's transcription service brought a welcome change.

Robin lambert, CPO LIVESTORM

Read more

Product News

What is summarization?

Summarization in speech-to-text (STT) AI is a popular feature that streamlines the extraction of essential information from spoken content. By condensing lengthy audio recordings or live conversations into concise summaries, STT summarization enhances user experience, facilitating quicker understanding and decision-making for the final users.

Case Studies

Opening up new markets for a sales meeting and CRM enrichment platform: Spoke's success story with Gladia

In the past, sales teams around the world were presented with a twofold challenge. In addition to showcasing their products in the best light to prospects, they needed to take detailed notes during the call and fill their CRM software manually afterward.

Product News

A new open-source developer app for AI translation, dubbing and lip synching to try

Text-to-speech, voice cloning, and visual dubbing are some of the hottest trends in AI at the moment. Used in tandem with AI transcription and translation, they make it possible to generate hyper-realistic voiceovers, indistinguishable from the sound of the speaker’s natural voice and speech patterns — including in entirely new languages.