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.

SaaS collaboration platforms
communication platforms
note-taking
producitivty apps
travel
telecommunications
e-commerce
global tech support
finance

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.

API
Campaign
SEO
Subtitles
Online meeting
Business
Hight
Key decision
Marketing
Optimisation
Content value
Acquisition
Growth

Some stats on performance

78
%
boost in sales
1881
hours
saved processing calls
23
k $
gained in quarterly budget

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.

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.