Your recordings. Your intelligence.

Turn Plaud recordings into editable transcripts, useful notes, and answers you can trace.
An open-source, self-hosted alternative to the Plaud Intelligence workflow.

Live demo · Get started · Self-host · Docs · Community · Contribute

Keep recording with your Plaud device and the official Plaud App. localplaud downloads the raw audio and does the rest on hardware you control—no Plaud Generate button, no paid Intelligence plan. You can also upload any audio file.

Features

Transcripts with speakers you can name

Shown above: Whisper large-v3-turbo plus pyannote diarization. Click any line to seek, rename speakers once, fix text inline, and compare the corrected transcript with raw ASR.

Notes from your own templates

Full-transcript coverage for long recordings, several note styles per recording, and every note shows which model and transcript revision produced it.

A mind map of every conversation

Ask your whole library

Answers cite the recordings they came from; each citation jumps to the moment in the audio.

Made for your phone, too

Plus folders, tags, full-text search, AutoFlow automation, and exports to TXT, SRT, VTT, DOCX, PDF, and Markdown. Your edits are never overwritten, a failed stage never discards good results, and you choose per stage whether AI runs locally, on your own worker, or with a cloud provider.

_{Screenshots use the synthetic demo library from scripts/seed_demo.py.}

How it compares

Speaker labels are one of the most frequent complaints in r/PlaudNoteUsers: voices merged or split, and names that must be re-entered for every recording. Plaud's own help center says it does not automatically identify other speakers.

	localplaud	Plaud Intelligence	Otter.ai	Meetily (open source)
Price	Free (MIT) + your hardware	Free 300 min/mo · Pro $17.99/mo · Unlimited $29.99/mo	Free 300 min/mo · Pro $16.99/mo	Free · Pro $10/user/mo
Minute caps	None	300 / 1,200 / unlimited	300 / 1,200 / unlimited	None
Where AI runs	Local, your worker, or a cloud provider you choose	Plaud cloud	Otter cloud	Local or your API key
Self-hostable	✅	—	—	✅
Speaker diarization	✅ pyannote, editable per segment	✅	✅	Pro plan
Names remembered across recordings	✅ optional local voiceprints	Your own voice only	✅ (cloud)	Not verified
Speaker rename updates notes	Re-indexed instantly; notes regenerate with no per-minute fees	Regenerate summary (uses minutes)	Not verified	Not verified
Works with Plaud recorders	✅ automatic raw-audio sync	✅	Manual file upload	Not verified
Bulk export	ZIP of up to 50 recordings	Per file	Business plan	Not verified

Sources (November 2026, monthly USD pricing): Plaud plans · Otter speaker ID · Otter export · Meetily. “Not verified” means we found no public source. localplaud's cross-recording voice identification is an optional voice service that needs extra setup. Spot an error? Open an issue.

How it works

flowchart LR
    recorder["Plaud recorder"] --> app["Plaud App + cloud<br/>raw-audio upload"]
    app -->|"read-only sync"| audio
    upload["Upload your own audio"] --> audio

    subgraph localplaud["Your localplaud workspace"]
        audio["Raw audio"] --> transcript["Transcribe · align<br/>identify speakers · correct"]
        transcript --> knowledge["Notes · mind map · index"]
        knowledge --> use["Listen · edit · Ask<br/>organize · export"]
    end

Loading

Speech runs on Whisper large-v3-turbo (MLX on Apple Silicon, faster-whisper on CUDA/CPU) with pyannote speaker diarization. Text generation defaults to Ollama.

Quickstart

Requires Python 3.11+, ffmpeg, uv, and a running Ollama.

git clone https://github.com/skyhong2002/localplaud.git
cd localplaud

# Apple Silicon: use --extra mlx · NVIDIA: use --extra cuda
uv sync --extra faster-whisper --extra diarize --extra vad --extra local-llm

cp config.example.toml config.toml
cp .env.example .env
ollama pull llama3.1:8b

For speaker labels, accept the terms for pyannote/speaker-diarization-community-1 and add LOCALPLAUD_DIARIZE__HF_TOKEN=hf_... to .env. On Apple Silicon, set asr.provider = "mlx-whisper" in config.toml.

uv run localplaud init
uv run localplaud auth login   # one-time Plaud OAuth
uv run localplaud doctor       # check auth, ffmpeg, and providers
uv run localplaud run          # sync + process + serve

Open localhost:8080. The first sync catalogs your library without downloading it; choose Import audio on any recording, and new uploads download automatically. Docker, CUDA, and remote-worker setups are in the deployment guide.

FAQ

Is everything local? Plaud's App still uploads audio to Plaud's cloud. After download, processing can be fully local; cloud providers are opt-in per stage.

Can I use it without a Plaud recorder? Yes—upload files with Add audio (formats).

Is it safe to expose online? It binds to 127.0.0.1 by default. Configure accounts, a session secret, and HTTPS first. Plaud access is read-only.

Is it finished? It's in active development. The core workflow works end to end; full Plaud parity and broader language/hardware benchmarks are in progress.

Documentation

Topic	Read
Install and operate	Deployment · Accounts · Backups
Speech and speakers	Speech quality · Remote workers · Speaker identities
Notes	Note quality · Chapter outlines
Integrations	Webhooks · Email delivery
Product and API	Changelog · Product workflow · Plaud API · ADRs
Troubleshooting	Acceptance · Processing repair · Support

Contributing

See the contribution guide and Code of Conduct. Questions go to Discussions; vulnerabilities to the private security channel.

License

MIT © 2026 Sky Hong. localplaud is an independent project, not affiliated with or endorsed by Plaud.