Use case
Content & Media
Enhanced content creation and viewing experience
Create, edit, and distribute audio and video content more efficiently. Gladia API unlocks a number of features to optimizes editing and subtitle creation, while improving content searchability, SEO ranks and moderation.
Top features
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.
Transcription
Transcribe podcasts and video content quickly and accurately to streamline editing and improve on SEO scores. Variety of output formats optimized for subtitles. Word-level timestamp add-on is recommended for high-precision editing.
![](https://cdn.prod.website-files.com/6458f30fed157c01444bd0b2/647dec186c6c83d63203569b_transcription02_background.webp)
Translation
Reach a truly global audience with built-in translation to and from 99 languages. Invaluable for dubbing and subtitles. Multi-language live transcription available soon. A must-have feature for any global media company.
Moderation
Identify and flag hate speech or other inappropriate and offensive verbal content according to pre-determined parameters, internal protocols, and external regulations.
![](https://cdn.prod.website-files.com/6458f30fed157c01444bd0b2/647de3344fba05e77333a3d3_mederation_background.webp)
Speech Analytics
Analyze speech patterns in audio and video content to identify keywords, topics, and themes. Gain in-depth insights into audience behavior and interests to optimize content creation and marketing strategies. Especially useful for companies that create and distribute large volumes 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
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.
![](https://cdn.prod.website-files.com/6458f30fed157c01444bd0b2/6499b6e964be30c09a2b2f4d_1611051757824.jpeg)
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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Speech-To-Text
Enhancing CX with AI: Key Trends to Watch 2024
AI is transforming contact centers at an accelerating pace. Speech AI technologies are at the forefront of this revolution, enabling companies to provide better customer experiences through a combination of advanced agent-assist techniques and fully automated interactions that feel natural and human-like.
![](https://cdn.prod.website-files.com/645a730e85c9b4dfd57de5a1/667e7c39ad097a36be742770_blog-thumbnail.png)
Case Studies
How VEED is streamlining video editing and subtitles with AI transcription
User-generated content has become a cornerstone of the internet-driven economy. As part of this shift, various platforms have emerged to provide easy-to-use tools to create high-quality video content in a matter of minutes — with AI transcription playing a foundational role in their product development.
![](https://cdn.prod.website-files.com/645a730e85c9b4dfd57de5a1/667d747bb50f4a146d266b56_Tech%20tutorials%20%E2%80%94%20how%20to%20identify%20speakers.png)
Tutorials
How to build a speaker identification system for recorded online meetings
Virtual meeting recordings are becoming increasingly used as a source of valuable business knowledge. However, given the large amount of audio data produced in meetings by companies, getting the full value out of recorded meetings can be tricky.