Speech-to-Text Applications
Solutions that convert spoken language into accurate, searchable, and actionable text.
Voice AI Platform
Build voice-powered applications with Deepgram
An AI-powered speech platform that provides transcription, speech recognition, text-to-speech, and audio intelligence capabilities for modern applications.
Deepgram Integration WorkflowLive
- Voice Strategy & RequirementsDefine use cases, audio sources, languages, accuracy requirements, and user experience goals.
- AI Integration DesignDesign workflows for transcription, voice generation, audio processing, and AI interactions.
- Deepgram ImplementationIntegrate speech-to-text, text-to-speech, and audio intelligence services into applications and workflows.
- 04Testing & OptimizationEvaluate transcription quality, latency, voice performance, and overall user experience.
- 05Deployment & MonitoringLaunch voice-enabled solutions and continuously monitor accuracy, performance, and scalability.
What we build
What we build with Deepgram
Voice AI Assistants
Conversational experiences powered by advanced speech recognition and voice technologies.
Contact Center Solutions
AI-powered systems that transcribe, analyze, and improve customer interactions.
Transcription Platforms
Applications that generate transcripts, captions, and documentation from audio content.
Audio Intelligence Systems
Solutions that extract insights, sentiment, and patterns from audio data.
Voice-Enabled AI Products
Intelligent applications that use voice as a natural interface for user interaction.
Common needs
Common Deepgram project needs
Automate Transcription
Enable Real-Time Processing
Improve Customer Experiences
Extract Audio Insights
Integrate Voice Capabilities
Build AI-Powered Experiences
Roles
Roles that may support your Deepgram project
AI EngineerMachine Learning EngineerFull Stack DeveloperSoftware EngineerSolutions ArchitectProduct Engineer
The right roles are recommended after discovery based on your goals, stack, scope, risks, and timeline.Services
Services that support your Deepgram project
Product Design & UX/UI
User flows, wireframes, prototypes, design systems, and development-ready Figma files.
Learn moreSoftware Development
Frontend, backend, full-stack, mobile, cloud, API, and integration development.
Learn moreQA & Testing
Manual QA, regression testing, test documentation, automation, and release validation.
Learn moreProject Management
Sprint coordination, risk visibility, blocker tracking, delivery updates, and client alignment.
Learn moreStart hereDiscovery & Scoping
Define goals, scope, roles, timeline, risks, assumptions, and the statement of work.
Schedule discoveryEngagements
Available for ongoing Deepgram teams and fixed-scope Deepgram projects
Continuous capacity
Ongoing Software Teams
For companies that need continuous software capacity across an evolving roadmap.
See how ongoing teams workDefined scope
Fixed-Scope Projects
For companies that need a defined deliverable, timeline, budget, and statement of work.
See how fixed-scope worksDiscovery before SOW
Discovery comes before every reliable statement of work.
Before we recommend roles, timelines, or pricing, we need to understand your goals, technology stack, product situation, scope, risks, and constraints. Discovery helps us align expectations and create a realistic statement of work.
What discovery documents
- Business goals
- Product goals
- Technology stack
- Current situation
- Required roles
- Timeline expectations
- Budget expectations
- Risks and unknowns
- Success criteria
Stack
Related technologies
LangChainOpenAITwilioNode.jsPythonAWSGoogle CloudWebRTC
FAQ
Questions about Deepgram development
Deepgram is an AI-powered voice platform that provides speech recognition, transcription, text-to-speech, and audio intelligence services through developer-friendly APIs.
Deepgram helps organizations build voice-enabled applications with accurate speech processing, real-time transcription, and scalable AI infrastructure.
Yes. Deepgram provides low-latency speech-to-text capabilities for live conversations, meetings, and voice applications.
Yes. Deepgram is commonly integrated into conversational AI systems, voice assistants, and customer support solutions.
Yes. Deepgram offers text-to-speech services that enable applications to generate natural-sounding voice responses.
Deepgram is used across customer support, healthcare, media, education, communications, and AI product development to build voice-enabled experiences.
Ready to define the right Deepgram team for your project?
Schedule discovery hours so we can understand your project goals, stack, situation, and delivery needs before creating a statement of work.