Open Source tl;dv Alternatives
A curated collection of the 2 best open source alternatives to tl;dv.
The best open source alternative to tl;dv is Meetily. If that doesn't suit you, we've compiled a ranked list of other open source tl;dv alternatives to help you find a suitable replacement. Other interesting open source alternative to tl;dv is Minutes.
tl;dv alternatives are mainly AI Interaction & Interfaces. Browse these if you want a narrower list of alternatives or looking for a specific functionality of tl;dv.
Meeting assistant that records, transcribes and summarizes conversations on your own machine, so no audio ever leaves your infrastructure.
Meetily captures, transcribes and summarizes meetings entirely on the machine running it. For a defense consultant, a lawyer or a healthcare provider, the usual cloud note-taker means sensitive discussion lands on servers somebody else operates, and this removes that trade without giving up the transcript or the summary.
Transcription runs locally on Whisper or Parakeet models, with a live transcript building as the meeting happens. Summaries come from whichever provider you choose, Ollama for a fully local setup, or Claude, Groq, OpenRouter and any OpenAI-compatible endpoint, which suits organizations pointing at inference infrastructure they run themselves.
The application handles the practical parts of recording a meeting.
- Audio mixing: microphone and system audio are captured together with ducking and clipping prevention.
- Import and enhance: existing audio files can be transcribed, or a recorded meeting re-transcribed with another model or language, still in beta.
- Local storage: models, recordings and transcripts all stay on the machine.
- Cross-platform builds: installers for Windows and macOS, and a documented source build for Linux.
- Cost control: open models stand in for paid transcription APIs, and the tool keeps working offline.
Windows users run an installer, macOS users drag the app out of a disk image, and Linux builds from source with a GPU script after cloning the repository. A paid Pro edition adds higher accuracy, advanced exports, custom summary workflows and team features, with speaker diarization planned there. The community edition remains open source and free to use.
A local conversation memory app that records and transcribes meetings on your device, then exposes them to MCP clients as Markdown files you own.
Minutes records and transcribes meetings, calls, voice memos, and dictation on your own machine, then lets Claude Code, Codex, Cursor, or any other MCP client search the history you choose to share. Meeting context stops living inside a vendor's workspace and starts living in files you can grep.
Capture, transcription, and storage all run locally. Each meeting is a plain Markdown file in a meetings directory in your home folder, carrying structured YAML frontmatter with the title, date, duration, action items and their assignees, and the decisions taken. Text leaves the machine only when you send authorized context to a cloud agent or summarizer.
Five surfaces read those same local files.
- Desktop app: menu bar capture along with Recall, documents, and Coach.
- CLI: 58 commands for recording, processing, search, import, and automation.
- MCP server: 34 local meeting tools and resources for any MCP client.
- Claude Code plugin: 23 skills covering prep, capture, live help, debrief, and memory workflows.
- SDK: TypeScript access to the meeting files without going through MCP.
Install through a Homebrew cask, a Homebrew formula, cargo for the CLI, or npx for the MCP server, and a demo command seeds five sample meetings so the search can be tried with no microphone. Sensitive meetings save typed markers without audio and default to restricted, with consent reminders and provenance to help you disclose recording. It is MIT licensed, with no paid tier for anything in the repository.
