Deepgram

Deepgram is a voice AI platform offering fast, accurate speech-to-text, text-to-speech and speech understanding through a single API. It is aimed at developers adding transcription, call analytics or voice agents to their products at production scale.

Key features

• Nova speech recognition models tuned for noisy, real-world audio.
• Real-time streaming transcription with word-level timestamps.
• Speaker diarisation, punctuation, redaction and keyword boosting.
• Aura text-to-speech voices for low-latency conversational agents.
• Summarisation, topic detection and intent recognition on transcripts.

Who it is for

• Contact centres analysing call quality, compliance and customer sentiment.
• SaaS teams adding transcription or captions to their own product.
• Builders of voice agents that must listen and reply in real time.
• Media and podcast platforms generating searchable transcripts at volume.

Pricing

Deepgram gives new accounts a free credit allowance to test, then pay-as-you-go pricing per audio hour that differs by model and features, with volume discounts and enterprise contracts for committed usage.

Why people choose it

Transcription accuracy is judged on messy audio, not clean studio recordings, and Deepgram is built for the messy case: overlapping speakers, phone-quality lines and industry jargon that generic models mangle. Keyword boosting lets teams push product names and acronyms into the model's vocabulary, which sharply reduces manual correction. Because speech-to-text, text-to-speech and post-processing sit behind one API with streaming support, developers can build a full voice loop without stitching three vendors together, and per-hour pricing keeps costs predictable as call volume grows.