Sembly AI costs $17/mo.
These cost $0.
4 free alternatives to Sembly AI, checked for license, recent activity and real adoption. Each one tells you the catch, so you can switch with your eyes open.
Sembly AI vs Free Alternatives Matrix
Quick side-by-side comparison · $0/mo vs $17/mo
| Alternative | Type | License | Where It Runs | Stars | Head-to-Head |
|---|---|---|---|---|---|
| OpenWhispr | open source | MIT | Local or hosted | ★ 5.2k | Sembly AI vs OpenWhispr → |
| Speakr | open source | AGPL-3.0 | Self-host | ★ 3.6k | Sembly AI vs Speakr → |
| Muesli | open source | MIT | Local | ★ 890 | Sembly AI vs Muesli → |
| Meeting Transcriber | open source | MIT | Local | ★ 97 | Sembly AI vs Meeting Transcriber → |
The picks
4 open source · ranked by fit
- 01
OpenWhispr
open sourceMITLocal or hosted5.2kaug 2026Records or imports audio, labels speakers, generates notes and keeps the result searchable.
The catch vs Sembly AIIts task and topic extraction and shared-team workflow are less mature than Sembly's managed minutes, and quality depends on chosen models and hardware.
Install, platforms & data +
- platforms
- desktopone-click install
- install
- Install the signed macOS DMG, Windows EXE or Linux package, grant audio/accessibility permissions and choose local, cloud or BYOK processing
- setup
- Meeting capture needs OS audio permissions and a model download or cloud/API choice; macOS also needs Accessibility and Screen Recording/System Audio permission
- engines
- Local Whisper via whisper.cpp; NVIDIA Parakeet and Nemotron via sherpa-onnx; local LLMs via llama.cpp; BYOK OpenAI, Groq, xAI, Mistral, Tinfoil, OpenRouter, Corti, Anthropic/Google and OpenWhispr Cloud
- your data
- Notes and history in local SQLite with recordings/model caches in app directories; optional sync uses OpenWhispr Cloud/Neon PostgreSQL, while cloud or BYOK audio goes to the selected provider
- checked
- 2026-08-11
- 02
Speakr
open sourceAGPL-3.0Self-host3.6kjul 2026Self-hosted transcription, templates, topics, tasks, search and chat in one polished web app.
The catch vs Sembly AIIt is a self-hosted archive rather than a turnkey meeting bot, so capture and structured minutes depend on the ASR and LLM configuration.
Install, platforms & data +
- platforms
- webself-hostedself-host, real ops
- install
- Download the example Docker Compose and .env, add transcription/text-model credentials or endpoints, set the admin account and run docker compose up -d
- setup
- Docker is mandatory for the easy path, and the operator must supply API keys or deploy a separate GPU ASR container plus reverse proxy/TLS
- engines
- ASR via self-hosted WhisperX, OpenAI transcription, Mistral Voxtral, AssemblyAI, VibeVoice or custom endpoints; LLMs via any OpenAI-compatible endpoint including OpenRouter, OpenAI, Gemini, LocalAI or Ollama
- your data
- SQLite in the mounted instance directory, audio in mounted uploads or S3-compatible storage, and optional auto-exports such as Markdown and SRT files
- checked
- 2026-08-11
- 03
Muesli
open sourceMITLocal890aug 2026Local transcripts plus configurable notes, decisions and action items; the searchable notebook stays on your Mac.
The catch vs Sembly AIIt has no shared web workspace or team task integrations, and summary quality depends on the local or BYOK model configured.
Install, platforms & data +
- platforms
- desktopone-click install
- install
- Download the notarized macOS app, move it to Applications, grant audio/accessibility permissions and download an on-device model
- setup
- Apple Silicon and several macOS permissions are mandatory; first use needs a model download, and cloud-quality summaries need an API key, ChatGPT login or local Ollama
- engines
- Local ASR includes Parakeet, Nemotron, Cohere Transcribe, Whisper via WhisperKit, Qwen3 ASR, SenseVoice, Indic ASR and experimental Gemma; summaries use OpenAI, OpenRouter, ChatGPT OAuth or local Ollama
- your data
- Recordings, dictation history, transcripts, notes and model caches in local macOS app storage; optional iCloud sync sends text but not audio, and optional summary providers receive transcript text
- checked
- 2026-08-11
- 04
Meeting Transcriber
open sourceMITLocal97aug 2026Turns a captured meeting into a transcript, summary, decisions and tasks in ordinary Markdown.
The catch vs Sembly AIIt is macOS-only and lacks Sembly's collaborative cloud workspace, task integrations and calendar bot.
Install, platforms & data +
- platforms
- desktopone-click install
- install
- On macOS 14.2+, trust the third-party Homebrew repository and install its cask, then grant microphone, Screen Recording and Accessibility permissions
- setup
- macOS 14.2+ only, multiple privacy permissions, a third-party Homebrew tap, model downloads and a separate Claude/Ollama/OpenAI-compatible setup for summaries
- engines
- WhisperKit or NVIDIA Parakeet TDT v3 for ASR; FluidAudio/CoreML for VAD, diarization and speaker embeddings; summaries via Claude Code CLI or any OpenAI-compatible endpoint such as Ollama or LM Studio
- your data
- Local dual-track WAV recordings, metadata JSON, raw TXT transcripts and structured Markdown protocols under the configured output folder
- checked
- 2026-08-11
Frequently Asked Questions
Direct answers · Sembly AI open-source replacements
What is the best free alternative to Sembly AI?+
The top free alternative to Sembly AI is OpenWhispr (open source, MIT). Records or imports audio, labels speakers, generates notes and keeps the result searchable. Other popular Sembly AI replacements include Speakr, Muesli, Meeting Transcriber.
Can I self-host a free replacement for Sembly AI?+
Yes. Of the 4 free alternatives to Sembly AI, 2 can be self-hosted on your own server or local machine: OpenWhispr (MIT), Speakr (AGPL-3.0).
How much does switching from Sembly AI to a free alternative save?+
Sembly AI starts at $17/month per seat ($204/year). Switching a 5-person team to a free alternative like OpenWhispr saves $1,020 per year in software subscription fees.
Should I vibe-code or build my own Sembly AI clone from scratch?+
Our build verdict for Sembly AI is KINDA (the core, yes. the polish, no). The core loop is buildable, but a dependable replacement becomes a real weekend or multi-day project. For Sembly AI, transcribe a call and produce structured minutes, tasks, and searchable topics. The hard boundary is meeting bots, team collaboration, automations, and broad integrations, plus capture reliability, integrations, and collaboration.
What is the catch when switching from Sembly AI to OpenWhispr?+
Its task and topic extraction and shared-team workflow are less mature than Sembly's managed minutes, and quality depends on chosen models and hardware.
