Meetily vs Anarlog
Both are alternatives to Otter.ai. Here's how they stack up — verified facts, no spin.
Also searched as Anarlog vs Meetily — same comparison, one verdict.
Meetily and Anarlog are closely matched on ownership (95 vs 94) — this one comes down to pricing and to which trade-offs below you can live with.
Meetily
TOP PICKMIT-licensed meeting notes that record, transcribe and summarise entirely on your own machine.
Meetily is a desktop meeting assistant from Zackriya Solutions that captures your device audio, transcribes it in real time with Whisper or NVIDIA Parakeet, and writes summaries through a model of your choosing — Ollama on the same computer if you want the whole loop local, or Claude, Groq, OpenRouter or any OpenAI-compatible endpoint if you don't. Recordings, transcripts and models stay on the machine. The Community Edition is MIT-licensed and free; a separate Pro licence adds diarization, templates and richer exports, so it is honest to call this open-core rather than purely open-source.
Anarlog
Local-first AI meeting notepad that takes notes without a bot joining the call.
Anarlog is an MIT-licensed desktop notepad, built by Fastrepl, that listens to your device audio rather than joining your meeting as a participant. Sessions, notes and transcripts live in a local SQLite database with recordings as ordinary files on disk, and you choose where the intelligence comes from: an on-device model, your own API key, or an OpenAI-compatible local server such as Ollama or LM Studio. Hosted transcription, encrypted sync and sharing exist as a paid tier, but nothing depends on them. It was called Hyprnote until the project renamed itself in 2026, which is worth knowing when you search for guides.
Side by side
6 points of comparison, every one read from a verified field. Green marks the side that wins a row outright. A dash means we do not hold that fact — never that it is zero.
| Meetily | Anarlog | |
|---|---|---|
| Sovereignty ScoreOur transparent 0–100 composite for data ownership and exit cost. | 95 | 94 |
| Open source | Yes | Yes |
| Self-hostable | Yes | Yes |
| Local-first data | Yes | Yes |
| License | MIT | MIT |
| Pricing | Community Edition free and open source — local transcription, local AI summaries, audio/video import, retranscription. Optional Pro licence is $120 per user per year, shown as $10/user/month billed annually against a $25 list price, with a 14-day trial; Pro adds speaker diarization, a custom AI model connector, custom summary templates, PDF/DOCX/Markdown exports and MCP/webhook/CLI integrations. Enterprise volume licensing is quoted. Verified on meetily.ai/pricing 2026-09-25. | Free tier: unlimited on-device transcription, local recordings, bring your own speech and LLM keys, notes/folders/templates, exports, and a local API with CLI, MCP and webhooks. Pro is $15/month or $150/year and adds hosted transcription and LLM, system-wide dictation, better speaker identification, end-to-end encrypted sync across 3 devices and note sharing. Team is $20/person/month or $200/person/year; Enterprise is custom with SSO and SCIM. Verified on anarlog.so/pricing 2026-09-25. |
Meetily is Macrostack's recommended Otter.ai alternative, so it's our pick here.
Meetily
Strengths
- +Audio, transcripts and summaries can stay entirely on your device — the project's own documentation states all processing is local
- +Packaged installers for macOS and Windows, with Metal and CoreML enabled on Mac and a Vulkan Whisper build on Windows; the README also lists Linux
- +Your choice of model at both ends: Whisper or Parakeet for transcription, Ollama locally or Claude/Groq/OpenRouter for summaries
- +Actively developed and widely used — v0.4.1 released 2026-09-12, roughly 31,000 GitHub stars
- +The free Community Edition is genuinely usable, not a demo: live transcription, imports and local summaries are all in it
Trade-offs
- −No bot joins the call, so it records the audio on the machine you are meeting from — it cannot cover a meeting you attend from your phone
- −Speaker diarization, custom summary templates and PDF/DOCX/Markdown export sit in the paid Pro licence, not the free edition
- −The Windows installer needs an AVX2-capable x64 CPU, and CUDA acceleration requires building from source with an NVIDIA toolchain
- −You own the maintenance: model downloads, updates and disk space are yours, and there is no mobile app or web workspace
- −Transcription speed and accuracy depend on your hardware and the model size you pick — test it on a real recording before committing
Anarlog
Strengths
- +Ships macOS (Apple Silicon and Intel), Windows and Linux builds in the same release — desktop_v1.4.27 was published 2026-09-25
- +Nothing joins your call and nothing appears in the participant list; it also stays hidden while you share your screen
- +Your data is readable without the app: local SQLite plus plain recording files, with Markdown export
- +Bring your own AI — hosted provider, your own key, or a local OpenAI-compatible server; cloud sync is off unless you turn it on
- +Very active development, with releases landing almost daily
Trade-offs
- −The rename from Hyprnote means older bookmarks, tutorials and blog posts point at a name and repository that now redirect
- −Its README states the team is now building a separate product, char, while the community app stays MIT-licensed and maintained — worth watching if you are betting a workflow on it
- −Enterprise components are source-visible and commercially licensed, not MIT — the free, MIT part is the community desktop app
- −Built-in on-device transcription models are described as available on supported Macs, so Windows and Linux users may need their own keys or a local server
- −Like every device-audio notetaker, it only covers meetings you attend on that computer
Which one fits you
The trade-offs above, turned into a decision. Find the line that describes your team.
Choose Meetily
if a lower exit cost matters more to you than any single feature, and audio, transcripts and summaries can stay entirely on your device — the project's own documentation states all processing is local.
Choose Anarlog
if ships macOS (Apple Silicon and Intel), Windows and Linux builds in the same release — desktop_v1.4.27 was published 2026-09-25.
Neither, yet
if both carry a real cost you should weigh first — no bot joins the call, so it records the audio on the machine you are meeting from — it cannot cover a meeting you attend from your phone, and the rename from Hyprnote means older bookmarks, tutorials and blog posts point at a name and repository that now redirect. If either of those is a dealbreaker for your team, the shortlist is wrong rather than the choice.
Meetily vs Anarlog — common questions
Is Meetily a better fit than Anarlog for speech recognition & transcription?
It depends on what you are optimising for, and the honest split is this: Meetily scores 95 to Anarlog's 94 on data ownership and exit cost, so it is the safer choice if you care about being able to leave. Anarlog earns its place on a different axis — ships macOS (Apple Silicon and Intel), Windows and Linux builds in the same release — desktop_v1.4.27 was published 2026-09-25. Neither is a wrong answer for every team; the table above is the actual comparison.
What happens if we want to switch later?
Meetily keeps its data local or in open formats, so leaving is an export rather than a negotiation. Anarlog is still self-hostable, so the files stay on your server either way — but it is not local-first by design, so check what its export produces before you rely on it.
Can I self-host Meetily or Anarlog?
Both can be self-hosted. The difference is what it costs you in time rather than whether it is possible — see the setup and maintenance rows above.
Are Meetily and Anarlog both alternatives to Otter.ai?
Yes — both appear in our Otter.ai comparison, which is why they are worth putting side by side. People usually arrive here already having decided to move off Otter.ai and now choosing between the two replacements, which is a narrower and much easier question.
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Facts verified 2026-09-25. Licenses and pricing change — spotted something out of date? That's a correction we want.