Used by 86% ProfessionalsDeepgram Overview
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Deepgram is an Automatic Speech Recognition (ASR) AI that offers an end-to-end deep learning solution for converting audio into text. It provides accurate results that are tailored to each customer's specific needs. It is designed to be able to understand multiple languages, accents, and dialects, as well as adapt to new speech patterns as they are encountered.
About Deepgram
Deepgram Features
- Voice-Activity Detection (VAD) : Assists in identifying the presence of human speech in the audio file.
- Interim Results : Helps in monitoring and providing the transcripts while the audio is streaming.
- Summarization : Summarizes the complete content of audio files and returns them into the JSON response.
- Topic Detection : Identifies and generates key points of the content in the audio provided.
- Smart Format : Assists in adding extra formats to the transcript to improve readability.
- Find and Replace : Makes appropriate changes in the terms or phrases in the transcripts if necessary.
Deepgram Ratings and Reviews
- Ben H.Solutions Architect
I was involved in a Hackathon where the goal was to provide realtime translation in a setting like a church service to participants who were not fluent in the language being spoken. We realized pretty quickly that the most critical piece of accomplishing this was to have accurate transcripts from the original audio stream - without that the project was doomed. After a bit of research, we decided to use Deepgram due to its ease of integration, the configurability, and the ability to work with multiple input languages. There also were quite a few helpful examples and tutorials to get us started quickly. We ended up accomplishing our goals with Deepgram and ended up winning the Hackathon with our project. Review collected by and hosted on G2.com.
- Sebastian P.Machine Learning Engineer - Data Scientist
Couldnt easily find the price for the tool. If I saw quickly it could be cheaper than our current tool I would keep on trying. I would like models that can perform with music in the background Review collected by and hosted on G2.com.
