Use case

Call Centers

Customer experience with insight

Improve customer service, streamline operations, and ensure compliance with regulatory requirements. Gladia API provides valuable insights into customer behavior and needs, improves communication, and enhances call center security.

airlines
insurance
utilities
healthcare
travel
telecommunications
e-commerce
global tech support
finance

Top features

Speech analytics

Analyze customer tone of voice tone and language patterns to identify sentiment and mood, providing call center agents with valuable insights into customer behavior and needs. Essential for companies dealing with a high volume of customer calls.

Translation

Transcribe customer interactions in real time and translate them into different languages, allowing call center agents to communicate with customers in their preferred language. Ideal for serving a global customer base.

Transcription

Transcribe high volume of calls and get a written record of all talking points, decisions made, and action items. Essential for keeping track of customer interactions for compliance, training, or quality assurance purposes.

Quality monitoring, privacy, and compliance

Monitor and analyze call center interactions in real time to ensure compliance with regulatory requirements and quality standards. Our upcoming PII redaction add-on will identify and redact all personally identifiable data, like social security and credit card numbers.

Some stats on performance

40
%
boost in sales
1241
hours
saved processing calls
87
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

Refers to 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.