Deepgram

What this tool can do

Deepgram provides advanced automatic speech recognition (ASR) with deep neural networks optimized for accuracy, speed and scalability. It supports real-time streaming and batch transcription across diverse audio types and environments. The platform offers customizable models, noise robustness and speaker diarization to improve transcription quality. Developers integrate Deepgram via APIs or SDKs into applications for speech-to-text, voice analytics, captions and interactive voice experiences.

Typical Use Cases

Real-time speech recognition
Deepgram delivers low-latency transcriptions for live audio, meetings and streaming.

Batch audio transcription
The platform processes large volumes of recorded audio for transcripts or indexing.

Speaker diarization
Deepgram identifies who spoke when in multi-speaker recordings.

Voice search and analytics
Teams build search indexes and extract insights from spoken content.

Closed captions and accessibility
The tool generates captions for videos, calls and media platforms.

Customizable language models
Developers tailor recognition models to specific vocabularies or acoustic conditions.