Transcribe audio offline and skip the cloud bill
Built by an ML engineer who refused to pay $240/year to upload voice memos to someone else's server.

What it does Scriberr is a self-hosted web app that transcribes audio and video locally using offline models such as Whisper, NVIDIA Parakeet, or Canary. It generates word-level timestamps, detects and labels individual speakers, and wraps the results in a polished interface with a built-in recorder, note-taking, and transcript playback that stays in sync with the text. You can also query transcripts via Ollama or OpenAI-compatible LLMs without leaving the app.
The interesting bit The project was born when the author bought a Plaud Note voice recorder and balked at its mandatory cloud transcription and subscription pricing. Rather than pay $100–$240 per year to send private recordings upstream, he built an offline-first alternative that bundles diarization, summarization, and automation hooks into a PWA that behaves like native software.
Key highlights
- Runs fully offline: no audio data is sent to third-party cloud providers during transcription
- Supports multiple local model backends, including Whisper, NVIDIA Parakeet, and Canary
- Includes speaker diarization, word-level timestamps, and a folder watcher for automation pipelines like n8n
- Progressive Web App support gives a native experience on both desktop and mobile, complete with dark mode
- Exposes APIs and integrates with local or remote LLMs for summarization and Q&A inside the app
Caveats
- Active development is paused while the author recovers from a layoff and searches for his next role; he is openly looking for contributors to keep the project moving
- The Go binary relies on a separate managed Python environment for model inference, so it is not a single-static-binary deployment
- Default secure-cookie behavior is strict enough to silently break audio streaming on plain-HTTP deployments
Verdict Self-hosters with a privacy bent and a spare GPU—or patience for CPU transcription—will find a capable alternative to cloud APIs. If you need active development velocity or a fully managed service, this is not it right now.
Frequently asked
- What is rishikanthc/Scriberr?
- Built by an ML engineer who refused to pay $240/year to upload voice memos to someone else's server.
- Is Scriberr open source?
- Yes — rishikanthc/Scriberr is open source, released under the MIT license.
- What language is Scriberr written in?
- rishikanthc/Scriberr is primarily written in Go.
- How popular is Scriberr?
- rishikanthc/Scriberr has 2.9k stars on GitHub.
- Where can I find Scriberr?
- rishikanthc/Scriberr is on GitHub at https://github.com/rishikanthc/Scriberr.