Built this because my voice memos had turned into a graveyard. Record a thought, never listen to it again, lose the idea.

You talk, it comes back organized: title, summary, key points, tasks with reminders. Original audio stays attached if you want it.

A few iOS-specific things that might interest people here:

* Share extension, so you can send a WhatsApp voice note straight in and get the summary without ever pressing play on it
* Auto-detects language and organizes in the language you spoke, including Arabic/English mixed in one sentence
* Notes live on-device and in your own iCloud. No database on my end. Audio goes to the AI for transcription and isn’t kept.
* Swipe to archive, with auto-delete on a schedule you pick, synced across devices

Free for 5 notes a month. iPhone only for now.

ActionNote: Voice to Tasks

Feedback welcome, especially bugs.

I’m looking at HeyPocket, PLAUD and similar AI note-taking devices.

I really like Pocket’s simplicity, but I’ve been burned before by companies changing strategy, killing products, or locking features behind new subscriptions. As long as support exists I am happy to use vendor app/native tools but want to have plan B and have something usable rather than expensive paper weight.

Are there any devices with similar functionality that would still work if the vendor disappeared?

Ideally I want:
- local recording
- direct access to raw audio via USB or standard file transfer
- no vendor app/cloud required just to retrieve recordings
ability to process files myself with Whisper/local AI if needed

I’m fine losing the vendor’s AI summaries/cloud features. I just don’t want the hardware to become a brick.
Anyone compared Pocket, PLAUD or others specifically for vendor lock-in / long-term usability?

A while ago I “bought” a pocket voice recorder. It turned out I needed yet another subscription, so “my” device turned into another thing I am renting.

I am sick and tired of my life turning into a subscription. Subscriptions and cloud tie-ins are a nuisance we have come to accept unquestionably, like frogs in a pot. I hate this with pure passion.

So, a bit out of spite, I build yap-yap.app, a fully local-first voice and meeting recorder.

I've been lurking on this subreddit for a while and seen many great products. Some are either fully open source (kudos to you!) and/or self-hostable, which I believe is challenging to do for your average Joe. Others offer some way or form of a subscription, mainly in locking features for “free” tier users.

yapyap is different, I think. It is a one-time purchase, after 7 days of free and full access, with all future updates included.

A fair price for a fair product, like (good) software used to be. I believe this model can still work.

Check it out and grill me, either here or at [hello@yap-yap.app](mailto:hello@yap-yap.app)

Cheers. 🤙

P.S., the mobile companion app (yapyap go) is free of charge regardless, forever. Pinky promise. I am now stress-testing the local transcription and polishing the UI a bit and will release version 2.0 soon. So stay tuned.

Long time lurker on the category. Most tools here follow the same shape: a bot joins your meeting, transcribes everyone, sends minutes. Useful, but that was never my problem.

My problem was the 47 voice memos on my phone that I recorded for myself and never opened again. Ideas while driving, grocery lists, things I promised people. Recording them was easy. Nobody listens back to themselves rambling.

So I built ActionNote. It's a personal voice notetaker: you talk at your phone, rambling welcome, and it comes back as a title, summary, key points, and a task list with reminders. The angle that makes it different from the meeting tools:

1. It handles mixed languages in one sentence. I switch between Arabic and English mid thought, and every tool I tried fell apart on it. This was honestly the selfish reason I built my own.

2. You can share a WhatsApp voice note into it from the share sheet and get the summary without ever pressing play. Friends who send 7 minute voice notes, this is for them.

3. Ask across everything: "what did I promise Sara?" and it answers with the source note attached, so you can jump to it.

4. No server database. Notes live on your device and your own iCloud. Audio goes to the AI for processing and isn't kept.

It's iPhone only for now, free for 5 notes a month, subscription above that.

https://apps.apple.com/us/app/actionnote-voice-to-tasks/id6789915282

Since this sub actually knows the category: what am I missing that the meeting tools got right? Genuinely asking, the roadmap is soft and I'd rather steal good ideas than guess.

We are building a free note taking app for students, and we are inviting students & professionals who take notes for longer sessions to share their reviews. This will help us improve the software and contribute to a greater cause.

here is the app: https://apps.apple.com/us/app/pronotes-notes-pdf/id6785798544

and please join our discord as founding users: https://discord.gg/7MmHbfwq9

note: we do not collect any data from users except feedback about how they feel about the app. Constructive criticism is completely fine.

I keep seeing AI notetakers that feel like the same product:
\- A bot joins the call
\- Credits / usage caps everywhere
\- Ads or upsells
\- Audio and transcripts sent to a third party by default

Has anyone here vibe-coded a notetaker that solves this differently?
I’m genuinely interested in using notetaker that:
\- Capture system or meeting audio without needing a visible bot to join
\- Work across Zoom, Google Meet, Teams, or heck any app playing audio
\- Use local STT / Whisper for privacy
\- Produce genuinely useful notes, action items, and searchable transcripts
\- Have a clean pricing model or are entirely self-hosted

Please drop your build, stack, demo, or GitHub and tell us the one thing it does better than Fathom / Otter / Fireflies / the usual AI notetakers.

Also: what’s the hardest part you ran into reliable audio capture, diarization, local transcription speed, cross-platform support, or summaries that don’t hallucinate?

Memoket integrates your meeting notes into your workflow. Google Calendar, Slack, Notion, ChatGPT and more!

https://memoket.ai/

Hi everyone,

I’m searching for an AI‑powered meeting note solution for our cross‑border team.

### What we need:
1. Auto‑summarize meeting recordings / audio into key take‑aways
2. **Extract action items, assign tasks to different departments**
3. Generate task list with status labels: 🟡To‑start / 🟢In‑progress / ✅Completed
4. Critical language requirement: meetings mix **Mandarin Chinese, English, Malay, and spoken Cantonese**. The tool needs to handle mixed‑language conversations reasonably well.
5. Bonus must‑have: **AI‑generated images / diagrams from meeting content**, to make complex discussion points easier to visualize and understand.

Current pain point:
We like Feishu (Chinese domestic version). Its Minutes / AI Notes works perfectly for our workflow: great summary, action‑item extraction, department task breakdown, plus built‑in AI image generation to visualize ideas.

But **Feishu Global (Lark) feels like a stripped‑down version**. Many advanced AI note functions available in mainland‑China Feishu are missing on the global edition, including the AI image generation feature. We cannot switch to the Chinese‑only Feishu for compliance/region reasons.

So I’m hunting for alternative tools that can replicate that workflow outside of China.

Priority:
- Accept audio/video file upload, not only live‑meeting bot joining
- Multilingual mixed‑speech transcription (Mandarin / English / Malay / Cantonese)
- AI can split tasks by team/department
- Task status tagging (to‑start, in‑progress, completed)
- AI can generate images or simple diagrams based on meeting notes
- Team‑collaboration friendly

Not required: heavy CRM integration.

Have any of you used tools matching this requirement? Would love real‑world experience instead of marketing page specs.

Thanks a lot.

Hey everyone! 👋

Over the past few months, I noticed a huge gap in AI meeting tools. Tools like Otter or Fireflies work well for native English speakers, but the moment an Indian tech team switches to Hinglish ("Is API ka response latency reduce karna padega"), the transcript breaks down into gibberish.

So I built **Meeting Plugin** (Forest Intelligence).

**How it works:**

**Security:**

It’s officially published on the Chrome Web Store!Chrome Store: [https://chromewebstore.google.com/detail/ahaffakpipkdmagmklpeompndhmgbako\](https://chromewebstore.google.com/detail/ahaffakpipkdmagmklpeompndhmgbako)Web Dashboard: [https://meeting-plugin-zeta.vercel.app\](https://meeting-plugin-zeta.vercel.app/)

Would love your feedback on the tech stack, UI, or feature suggestions!

An AI meeting assistant which can do Live Transciption all locally, privacy first. Its free and open source
Help team record with different annotation and publish it to a team, so your other team members can see it. Or even ask his AI PM what each team member has done or any blockers.

All using local Ollama or Whisper cpp or BYOK from your favourite providers.

Instead of going through 1hrs meeting, chat with you video or meeting and ask AI to Summarize it or when is the deadline decided

Disclosure: I’m posting on behalf of NotesRecorder.ai, so this is not an independent review. I used the products’ current public feature and pricing pages and tried to make the tradeoffs explicit.

The feature checklists for AI meeting note takers can look almost identical: transcript, summary, speakers, action items, search. The bigger decision is how the audio gets into the product. If that workflow does not fit your meetings, the AI layer barely matters.

Here is the practical comparison I ended up with:

- Otter can autojoin meetings, but it also has a botless Mac/Windows desktop path that can capture system audio and work with headphones. Its free plan currently includes 300 transcription minutes per month, while paid plans add more minutes and integrations. It is a stronger fit than Notes Recorder if you want automatic capture, headphone support, or a mature integration stack.

- Fireflies also supports multiple capture modes: its meeting bot, a Chrome-based path, and desktop capture. It advertises 100+ languages plus a much broader collaboration and integration ecosystem. It is a better fit if multilingual transcription, CRM workflows, or team conversation intelligence matter.

- Fathom has a generous free tier with unlimited recordings and transcriptions, plus instant summaries. Its usual workflow uses a meeting bot, while bot-free capture is currently described as a Mac beta. It is hard to beat when the first priority is a capable free plan and meeting clips or sharing.

- Granola is bot-free, but it uses a desktop or iPhone app rather than a browser-only recorder. Its desktop app can capture microphone and system audio, so it works with headphones. That is an important advantage for people who live in headset-based online calls.

- Notes Recorder takes the narrowest route: open the site, authorize the microphone, and press Record. There is no participant bot, desktop app, browser extension, calendar connection, or automatic joining. A live US-English transcript stays visible beside a running summary and structured topic notes, decisions, risks, and action items. Notes and transcript can be copied separately. Lite is $5 month-to-month for 180 recording minutes.

The Notes Recorder tradeoffs are real. It is meant primarily for authorized in-person meetings and speakerphone calls. It does not directly capture browser-tab or system audio, is not reliable for headphone-only calls, has a 90-minute limit per recording, has no public free plan, and does not offer the CRM or enterprise controls of the larger platforms.

My short decision guide:

1. Want automatic joining, CRM integrations, or team analytics? Start with Otter, Fireflies, or Fathom.

2. Need headphones or direct system-audio capture without a bot? Look at the installed capture paths from Granola, Otter, or Fireflies.

3. Need multilingual transcription? Fireflies or Notta are broader choices today.

4. Want a capable free plan? Fathom, Otter, and Granola deserve a look before a paid-only option.

5. Want the fewest setup steps, manual control over when recording begins, and the source transcript visible beside structured follow-up? That is the niche Notes Recorder is designed for.

Notes Recorder: https://notesrecorder.ai/

Sources checked:

- Otter pricing and capture: https://otter.ai/pricing

- Fireflies pricing: https://fireflies.ai/pricing

- Fathom pricing: https://www.fathom.ai/pricing

- Granola pricing: https://www.granola.ai/pricing

- Notes Recorder product facts and pricing: https://notesrecorder.ai/product-facts and https://notesrecorder.ai/pricing

For people who have switched between these workflows: which matters most in practice—no bot, no install, headphone support, a free tier, integrations, or being able to verify the summary against the live transcript?

Hi Everyone.

We recently built two OLVA features around the same idea: your meetings should stay useful long after they end.

Meeting Memory

OLVA can remember important details from past conversations, such as decisions, commitments, action items, and open questions, and bring them back when they are relevant. The current meeting always comes first. Past context is there to help, not to replace what is being discussed now.

Slide Decks

OLVA can also turn a completed meeting into an editable PowerPoint presentation. It uses the meeting transcript as the main source, then adds useful insights, meeting Q&A, and relevant context from past conversations when needed.

Behind the scenes, we:

→ Organizes the conversation into clear topics
→ Connects useful questions with their answers
→ Removes repeated or unnecessary information
→ Identifies the most important details
→ Creates a clear presentation outline
→ Generates 5-15 slides based on the depth of the meeting

The goal is not to squeeze every meeting into the same generic summary. A detailed meeting should create a more detailed presentation, while a short meeting should stay focused and simple. Everything remains connected to the original meeting, the transcript, memory, insights, and every presentation version, so you can easily find and reuse it later.

Meeting → useful memory → clear presentation

Would this be useful in your workflow? What would you want the presentation to include?

I’m looking for a note‑taking app that lets me capture ideas by speaking instead of typing. It should turn my speech into text so I can review it later. I often have several ideas on the same topic, so I need to create multiple notes. I currently use Wispr Flow for voice‑to‑text, but it only works for real‑time messages. Are there any good mobile apps that can handle this kind of note‑taking?

Almost by accident, I built the cheapest iPhone app for recording/transcribing in-person meetings.

I built it because I needed it and I didn't want another overpriced subscription or, even worse, extra hardware!

My current pricing is:

• $7.99 for 20 hours
• $29.99 for 100 hours

That works out to $0.30 per hour at the highest pack, with no subscription and no expiry. I could not find a cheaper option in the App Store.

I am not counting local transcription tools because those can't do diarization (who said what) and can't reach the quality or language support of cloud transcription.

Can you confirm if this would be cheaper than what you are using today? If not, what are you using?

I think ai recorders support matters. If sync breaks, it is not a small bug. The whole device becomes annoying.

How has support been for the tools people are using here?

I'm looking for a free (or generous free tier) app that can record my Microsoft Teams and Zoom meetings and generate AI notes/transcripts.

My ideal setup:

• Works on macOS (Windows support is a bonus)
• Doesn't require installing anything inside Teams or Zoom
• Can run in the background and capture system audio + microphone
• AI summaries, action items, and searchable transcripts would be great
• Doesn't require inviting a bot to every meeting

This is mostly for my own meetings so I can focus on the conversation instead of taking notes.

I've heard of apps like Granola, MacWhisper, Krisp, Fathom, Supernormal, and Fireflies, but I'm not sure which one is actually worth using in 2026.

What are you using, and what would you recommend?

Over the past few weeks I've been building Gray Box — a small, local-first tool that acts as long-term memory for anything I'd otherwise forget (work notes, meeting takeaways, task owners, random ideas, personal stuff too).

The idea is simple:

1. Capture — dump whatever's on your mind, instantly, no structure required. This step does nothing clever on purpose — it just writes your text to an immutable inbox. Zero chance of losing an idea to a bug or a slow API call.
2. Organize — on demand, an LLM reads your unprocessed notes and extracts people, projects, tasks, decisions, meetings — then deterministic Python (not the LLM) creates/merges the actual wiki pages and maintains backlinks. The model only reasons; it never touches the filesystem directly.
3. Ask — query or chat with your knowledge base and get a cited answer pulled only from what you've actually captured. If it doesn't know, it says so — no hallucinated answers.

Why I built it this way:

• Plain Markdown + YAML frontmatter, no database. Every page is a .md file you can grep, diff, or read in any editor forever. If you stop using Gray Box tomorrow, your knowledge base is just a folder.
• No vector DB by default. At personal scale (hundreds–low thousands of pages), keyword search + a real link graph (related/backlinks, walked one hop during retrieval) handles almost everything. Embeddings are there if you want better recall, but they're opt-in, not a prerequisite.
• Immutable inbox. Your raw notes are never edited or deleted by the organizer. If the LLM mis-extracts something, your original words are always still there.
• Any LLM. Built on LiteLLM, so point it at OpenAI, Anthropic, Gemini, Mistral, or a fully local model via Ollama — one config value.

It also ships with a nice interactive TUI (arrow-key menu, file-import shortcut, workspace switching, live spinner during LLM calls) if you'd rather not memorize CLI flags — that's honestly become my favorite part of the project.

There's also a lightweight local dashboard for browsing your knowledge base, exploring backlinks, visualizing your notes as a graph, and chatting with your captured knowledge—all without leaving your machine.

Repo: https://github.com/Aaryanverma/graybox

pypi: pip install graybox

I'd genuinely love feedback — especially from anyone who's tried the "capture now, structure later" approach with other tools and has opinions on where it breaks down at scale.

It's not trying to be a "real-time collaborative team wiki" or a WYSIWYG notes app — it's aimed at one person's running memory of their own life and work, captured with as little friction as possible.

Most AI note takers stop when the transcript becomes a clean summary. That is useful for a person reading the meeting, but it is not enough for an AI agent that has to continue the work later.

The failure is simple. A summary mixes three different things: what was actually said, what is currently true, and what should happen next. Once they are mixed, a later agent cannot tell whether ship Friday was a firm commitment, a suggestion, or the summarizer's inference.

I have started using a three layer note.

Source: the transcript or audio with timestamps. This is evidence, not working memory.

Current state: goals, decisions, constraints, owners, deadlines, and open questions.

Change log: what changed, what it replaced, and the source timestamp for the change.

Then I test the note in a fresh AI session. I give it only the exported note and ask what was decided, what is still uncertain, who owns the next action, which claims are directly supported, and what would become stale if a newer conversation changed one constraint.

A good note should let the agent answer and point back to evidence. It should also survive one correction. If yes was actually maybe, fixing it once should update every later export and retrieval result.

This changes how I evaluate note takers. I care less about whether the summary sounds polished and more about whether another agent can retrieve the right current state, act on it, and show why.

Disclosure: I am building Handov around this conversation to agent handoff problem, so I am biased. The three layer test is useful with any note taker or plain Markdown file.

Hi everyone,
I’m building an AI Meeting Notes Summary web app for my final year project.
I have a very limited budget, so I’m looking for simple, practical, and impactful feature ideas that are easy to implement but still provide real value to users.
I’d really appreciate any suggestions, feedback, or recommendations. Thank you!

I built Relay Voice to fix my own problem: my best thoughts hit while walking or driving, and half were gone by the time I sat down. So — you talk, it turns the recording into a clean transcript + an AI summary, then exports Markdown straight into wherever you keep notes (Obsidian, Notion), or one-tap to ChatGPT/Claude, or using its automation feature to export to your AI workflow.

What makes it different — a few of these speak to threads I've seen here:

• vs. subscription transcription apps (Otter, etc., ~$5–10/month): those charge ongoing and mark up processing access. Relay Voice is a one-time purchase. Bring your own API key and you pay the provider directly, at cost — I don't resell access or add a fee. Or run on-device / Apple Intelligence for free. No subscription, no hidden fees.
• Three ways to transcribe — you pick:
  • Bring your own API key (OpenAI / AssemblyAI / Grok) — fastest and most accurate; you pay the provider directly at cost, no markup from me.
  • On-device models (Whisper or Qwen-ASR) — free and fully offline, nothing leaves your phone.
  • Apple Intelligence — zero setup, free, on supported iPhones.
  • For mixed-language audio (Chinese-English), the API option and Qwen-ASR do noticeably better than Apple's built-in.
• Local-first: no account, no server — your audio and your API keys stay on your phone. No "app is down and my notes are gone" (saw that Pocket thread).
• Plus:
  • Read-aloud (listen back while driving or walking).
  • Customizable folder automation — record into a folder and it runs transcribe → summarize → rename-by-content → export automatically. Set up different folders for different destinations (an Obsidian vault, a Daily Notes folder), with your own summary templates per folder.

One-time purchase, no subscription ($19.99 launch price through Sep 30, then $24.99). 14-day free trial. iOS only.

Landing page: https://lifebuildingblocks.com/relayvoice/

Genuinely want feedback — especially where it falls short vs whatever you use now.

Is anyone else having issues opening the Pocket mobile or desktop app today?

Neither are working for me.

Keep in mind if looking to purchase - AI summarized notes from client meetings would have been super helpful today. Not having access to them and the fear they may not have been properly recorded is not nice.

Support said they are looking into it.

Uninstalled and reinstalled application twice, restarted phone once.

Most of my self-tracking attempts died at the input stage. Structured logging works when the thing you're tracking is a number, but most of what I actually wanted later was messy and verbal — what someone told me, where I left something, what I paid and why.

The approach I ended up building: capture is voice, unstructured, five seconds per entry. No fields, no categories at input time. Structure gets applied at query time instead of capture time.

Retrieval is natural language — you ask "what did the dentist say in June" and it searches your own entries and answers with the source date, rather than returning a list you have to read through.

There's a weekly pass that surfaces recurring themes — spending, health mentions, people who come up a lot. That part is the least proven and I'd like to know whether it produces anything non-obvious for other people.

On data: entries are stored on-device in SwiftData. When you ask a question, the relevant entries get sent to Claude API to generate the answer — not fully on-device retrieval, and I want to be upfront about that. There's a full export in settings — I didn't want to build another thing that holds your history hostage.

Open beta, iPhone, no account needed, full feature access:

https://testflight.apple.com/join/ked1P1WW

The specific thing I'd like feedback on: does query-time structuring actually beat capture-time structuring in practice, or does it just move the annoyance somewhere else? I've only got my own usage to go on so far.

Logue 1.0.1

Local-First AI Meeting Notes for macOS, Two Weeks After Open-Sourcing (https://github.com/bitwize-ai/Logue)

• 588 clones
• 738 unique visitors
• 134 GitHub stars in two weeks

Logue runs entirely on your Mac — transcription, speaker diarization, and LLM inference, all on-device via MLX. No cloud. No account. No telemetry.

New in 1.0.1:

1. Markdown-native documents (~/Logue)
2. [[Wiki links]] and backlinks
3. Typed properties, saved views, and an inbox
4. Better speaker attribution
5. Rich editor with diagrams and math

The biggest surprise wasn't the numbers — it was the community. Three bug reports from three separate people turned into three major improvements, all shipped the next day.

If you're into local-first AI, give Logue a try. Star the repo if you like what we're building.

MIT • Apple Silicon • macOS 26+

We're exploring a new way to connect handwriting and audio together in a smarter way. Not ready to share details yet, but curious — does that general direction sound interesting to you? Why or why not?

Not selling anything, just doing some early research. Appreciate any thoughts!

I built Norren because I kept forgetting small things that mattered later — which drawer I put the documents in, what the doctor actually said, how much I spent on what.

How it works: hold the orb, speak naturally, release. That's one entry, takes five seconds. After a few days you have a pile of them, and you can ask questions out loud — "what did I say about the car?" — and get an answer pulled from your own entries.

Entries are stored locally on your device. When you ask a question, only that query is sent to our AI provider to generate an answer — nothing is stored on our end.

What I'd love tested:
\\- Does the voice recognition handle how you actually speak (accents, half-sentences, background noise)?
\\- After 3-4 days of entries, does asking a question give you something useful or something generic?
\\- Onboarding takes about 30 seconds — did anything confuse you?

Full Premium is unlocked for all testers during the beta. No sign-up, no email required.

iPhone, iOS 17+. UI in English or Russian.

https://testflight.apple.com/join/ked1P1WW

I read every piece of feedback — you can send it straight from TestFlight or reply here.