How to Build Your Own Deepgram
Replace Deepgram with a custom build. Enterprise Voice AI: STT, TTS & Agent APIs
Build Difficulty: 5/5
Build a working replacement in a weekend with AI tools
Estimated Timeline
Based on 31 features at Weekend Project difficulty, expect about One weekend with AI-assisted development.
Recommended Tech Stack
Full-stack React framework with API routes and server components
PostgreSQL database, auth, and real-time subscriptions
Utility-first styling for rapid UI development
Key Features to Replicate
Top features across 8 categories. See all 31 features
AI Model(6 features)
Recommended for large transcription volumes with high accuracy timestamps.
Lower word error rates than Base with high accuracy timestamps and keyword boosting capabilities.
Conversational speech recognition for real-time voice agents with built-in turn detection, natural interruption handling, and ultra-low latency.
Transcription models recommended for non-English transcription use cases.
Highest performing transcription model recommended for most use cases, especially audio with multiple languages, background noise, crosstalk and far field audio.
+1 more in this category
STT Add-on(5 features)
Automatically detect the language of incoming audio.
Boost accuracy for specific domain-specific jargon, product names, or acronyms important to your use case.
Automatically identify and remove sensitive PII such as social security numbers, credit cards, and phone numbers.
Automatically format punctuation, casing, dates, and currency for readability.
Detect multiple speakers and label who spoke when in the transcript.
Audio Intelligence(4 features)
Recognize user intent from conversational audio.
Analyze sentiment in conversational audio and text.
Automatically summarize audio and text content.
Automatically detect topics in conversational audio.
Core API(4 features)
Integrated language model orchestration within the Voice Agent API.
Convert audio to text with high accuracy. Supports 45+ languages with Nova models.
Generate natural, low-latency speech for voice assistants and conversational AI applications using Aura models.
Real-time conversational AI agents that handle interruptions, take complex actions, and deliver natural responses with built-in turn detection.
Deployment(4 features)
Pre-recorded audio processing for bulk transcription jobs.
Deploy Deepgram APIs on Deepgram's managed cloud infrastructure.
Deploy Deepgram on your own infrastructure for complete control.
Real-time streaming audio processing with low latency.
API Type(2 features)
HTTP-based API for speech-to-text, text-to-speech, and audio intelligence.
WebSocket protocol for real-time streaming and low-latency applications.
TTS Model(2 features)
Text-to-speech model for voice assistants and conversational AI applications.
Natural, low-latency text-to-speech model for voice applications.
Analytics(1 features)
Extract actionable insights from conversational audio and text at scale.
Cost Calculator
Pricing data not available for Deepgram. Check their website for current pricing.