Speech Note (repository name: mkiol/dsnote), an open-source app for Linux and Sailfish OS, handles everything from transcribing audio recordings to translation and read-aloud entirely on the local device. It requires no network connection and is designed so that data is never sent to external servers.
v0.9.4-alpha · Speakr · Self-Hosted
Your audio, transcribed and organized — without leaving your server
Speakr is a Docker-based, privacy-focused web app that automatically transcribes meetings, interviews and recordings, then summarizes, tags and makes them searchable — a full pipeline in one self-hosted tool.
6
pipeline stages in one tool: Capture → Transcribe → Understand → Organize → Collaborate → Automate
6
swappable transcription backends, from local WhisperX to cloud ASR
7
UI languages, with auto-export to Obsidian & Logseq
~16GB
disk used when paired with WhisperX (GPU recommended)
The pipeline: from raw audio to searchable notes
Conventional Whisper tools and cloud ASR stop at raw text. Speakr keeps going.
Capture
meetings, interviews, recordings
→
Transcribe
auto + speaker diarization
→
Understand
summaries + event extraction
Organize
smart tags + Inquire Mode search
→
Collaborate
multi-user, group sharing, SSO
→
Automate
REST API v1 + webhooks
Selectable transcription backends
WhisperX recommended
Speaker diarization & voice profiles · GPU container recommended
OpenAI
e.g. gpt-4o-transcribe-diarize
Mistral Voxtral
cloud-based
AssemblyAI
cloud-based
VibeVoice
via vLLM
Custom ASR
bring your own endpoint
Well received
Strong on long recordings & multiple speakers
Practical speaker labeling and Obsidian integration
Turns audio notes & meetings into searchable text + summaries
Privacy of self-hosting — data never leaves your server
Trade-offs
Editing .env and Docker Compose adds initial setup effort
WhisperX needs a GPU
WhisperX pairing uses ~16GB of disk
Still an alpha release (v0.9.4)
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