Speakr - Self-Hosted AI Transcription Platform

Docker Hub: https://hub.docker.com/r/learnedmachine/speakr
GitHub: https://github.com/murtaza-nasir/speakr
Documentation: https://murtaza-nasir.github.io/speakr

Overview
Speakr transforms your audio recordings into organized, searchable, and intelligent notes. Built for privacy-conscious individuals and groups, it runs entirely on your own infrastructure.

Key Features
• 🎙️ AI-Powered Transcription - High-accuracy transcription with speaker identification
• 🗣️ Voice Profiles - Automatic speaker recognition using voice embeddings
• 💬 Interactive Chat - Ask questions about your recordings
• 🔍 Semantic Search - Search across all recordings using natural language (Inquire Mode)
• 🤝 Collaboration - Share recordings with users and groups
• 🏷️ Smart Tagging - Custom AI prompts and ASR settings per tag
• 📤 Auto-Export - Export to Obsidian, Logseq, and other note-taking apps
• 🌍 Internationalization - Full support for EN, ES, FR, DE, ZH
• 🎨 Themes - Light/dark modes with customizable color schemes

Installation on Unraid

Prerequisites

You’ll need API keys for:
• Text Generation: OpenRouter (recommended) or OpenAI
• Transcription: OpenAI Whisper API

OR you can host your own services for ASR and LLM inferencing.

Get your API keys:
• OpenRouter: https://openrouter.ai/keys (supports many models including GPT-4o-mini)
• OpenAI: https://platform.openai.com/api-keys

Quick Start

1. Install from Community Applications - search for “Speakr”
2. Configure required fields:
– Text Model API Key - Your OpenRouter or OpenAI key
– Transcription API Key - Your OpenAI Whisper key
– Admin Password - Choose a secure password
3. Click Apply
4. Access at http://YOUR-UNRAID-IP:8899
5. Log in with username admin and your chosen password

Default Configuration

The template uses sensible defaults:
• Port: 8899
• Storage: /mnt/user/appdata/speakr/
• Text Model: OpenRouter with GPT-4o-mini (cheap and fast)
• Registration: Disabled (only admin can create accounts)

Advanced Features

Speaker Diarization (Optional)

For advanced speaker identification with voice profiles, you can run a separate ASR service:
• WhisperX ASR Service (recommended): https://github.com/murtaza-nasir/whisperx-asr-service
• Basic ASR Service: https://github.com/ahmetoner/whisper-asr-webservice
Then update the environment variables to use your ASR endpoint instead of OpenAI. These services will need a CUDA capable GPU.

Auto-Processing
Enable the “Auto-Process” feature to automatically transcribe files dropped into a watch directory:
1. Set ENABLE_AUTO_PROCESSING=true
2. Drop audio files into /mnt/user/appdata/speakr/auto-process/
3. Files are automatically processed and moved to your upload folder

Auto-Export to Obsidian/Logseq

Set ENABLE_AUTO_EXPORT=true and point the exports volume to your note-taking app’s import folder.

Common Use Cases

• Meeting notes - Record and transcribe team meetings with speaker identification
• Interviews - Transcribe research interviews with automatic export
• Lectures - Convert lecture recordings to searchable notes
• Podcasts - Generate transcripts and show notes
• Legal/Medical - Securely transcribe consultations (all data stays on your server)

Documentation

Complete documentation available at: https://murtaza-nasir.github.io/speakr

Support

• Issues/Bugs: https://github.com/murtaza-nasir/speakr/issues
• Questions/Discussion: https://github.com/murtaza-nasir/speakr/discussions
• Unraid Support: This thread

Screenshots

Screenshots: https://murtaza-nasir.github.io/speakr/screenshots

License
Dual-licensed under AGPLv3 (open source) and commercial license.
________________________________________
Post questions and issues in this thread. I’ll do my best to help!

Interested in this.

New to UNRAID.

I do have Obsidian running as a DOCKER, so I should be able to get this running.

You’ll need API keys for:
• Text Generation: OpenRouter (recommended) or OpenAI
• Transcription: OpenAI Whisper API

I don't have either of those. Are they required ?

My needs would be for:

(1) general transcription (home)

(2) medical transcription (office)

(3) general transcription (office).

I guess what I need for is more Medical AI scribe than Medical Transcription (need #2). Like https://www.heidihealth.com/product/transcribe-dictate

Still interested in the transcription aspects.

Edited January 14Jan 14 by digitaldoctor

As is mentioned above, you do not need to use cloud services; you can host your own. Faster whisper or WhisperX based server for trasncription and any openAI compatible API server (ollama, vllm, sglang, there are so many more) for LLM inference. Googling and reading the docs will help.

I'm starting with: https://murtaza-nasir.github.io/speakr/getting-started/ wish me luck !