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Ollama for Speech-to-Text

OWhisper
STT Proxy Server

Deploy any Speech-to-Text model through a unified interface. From lightweight local models to powerful cloud endpoints.

# Configure your STT endpoint
$ owhisper pull whisper.cpp
$ owhisper serve
Starting OWhisper server...
Ready at http://localhost:8080

Simple Deployment

Single Docker image. Zero configuration. Deploy anywhere from your laptop to production infrastructure in minutes.

Single Docker Image

Everything packaged in one container. No complex orchestration, no dependency management. Just pull and run.

Zero Configuration

Intelligent defaults that work out of the box. Automatically detects your environment and configures optimal settings.

Production Ready

Built-in monitoring, health checks, auto-scaling, and logging. Deploy with confidence from local development to global production.

Deployment Flow

Docker Registry

hyprnote/owhisper:latest

Ready
Your Infrastructure

Laptop, VPS, or K8s

Active
OWhisper Service

localhost:8080

Running
Deployment Options
Docker Compose
Development
Kubernetes
Production
Binary
Direct exec
Cloud Deploy
One-click

Pull Any STT Model

Download and run any speech-to-text model locally with simple commands. Support for Whisper, cloud providers, and custom models.

OWhisper CLI Interface

owhisper --help
Running target/debug/owhisper-server --help
Usage:
owhisper <COMMAND>
Commands:
readmeRedirect to the GitHub README
configPrint out the global config
modelsPrint out downloaded models
pullDownload the model
runRun the server
serveStart the server
helpPrint this message or the help of the given subcommand(s)
Options:
-h, --helpPrint help
-V, --versionPrint version

Available Models

OpenAI Whisper Models

$ owhisper pull whisper-large-v3

Best quality, multilingual support

$ owhisper pull whisper-medium

Balanced performance and size

$ owhisper pull whisper-tiny

Fastest, smallest model

Custom Models

$ owhisper pull huggingface:model-name

Pull from Hugging Face

$ owhisper pull local:/path/to/model

Load local model files

$ owhisper pull url:https://example.com/model

Download from URL

Advanced Audio Settings

Built-in audio processing pipeline ensures crystal-clear transcription, even in challenging acoustic environments.

Real-time Audio Processing

Input AudioNoisy
Noise Reduction
Processed AudioClean

AI-powered background noise removal

Noise Reduction

AI-powered background noise removal

Audio Enhancement

Clarity improvement and voice isolation

Smart Resampling

Optimal sample rate conversion

Enterprise Support Ready

From initial deployment to ongoing optimization, our team ensures your STT infrastructure runs flawlessly.

White Glove Onboarding

  • Dedicated deployment engineer
  • Custom model training
  • Infrastructure planning
  • Performance optimization

Deployment Support

  • Multi-region setup
  • High availability config
  • Load balancing
  • Disaster recovery

Ongoing Support

  • 24/7 technical support
  • Priority bug fixes
  • Performance monitoring
  • Regular health checks

Use Cases

OWhisper adapts to your organization's unique needs, delivering value across different priorities and industries.

Productivity Benefits

Choose STT models that excel in your team's languages and accents

Support specialized domains with custom vocabulary and terminology

Enable teams who couldn't use standard notetaking apps due to poor language support

IDEAL FOR

Multilingual TeamsInternational TeamsRemote TeamsSpecialized Domains

Ready to Take Control of Your Conversational Data?

Connect with our team to explore OWhisper for your organization.