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.
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.
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.
We initially attempted to host Whisper AI, which required significant effort to scale. Switching to Gladia's transcription service brought a welcome change.
Read more
Speech-To-Text
Key techniques to improve the accuracy of your LLM app: Prompt engineering vs Fine-tuning vs RAG
Large Language Models (LLMs) are at the forefront of the democratization of AI and they continue to get more advanced. However, LLMs can suffer from performance issues, and produce inaccurate, misleading, or biased information, leading to poor user experience and creating difficulties for product builders.
Speech-To-Text
Keeping LLMs accurate: Your guide to reducing hallucinations
Over the last few years, Large Language Models (LLMs) have become accessible and transformative tools, powering everything from customer support and content generation to complex, industry-specific applications in healthcare, education, and finance.
Case Studies
Transforming note-taking for students with AI transcription
In recent years, fuelled by advancements in LLMs, the numbers of AI note-takers has skyrocketed. These apps are increasingly tailored to meet the unique needs of specific user groups, such as doctors, sales teams and project managers.