AI app for it and development · no coding needed
Local meeting capture and notes console
Keep recordings, transcripts and notes on the device while producing reviewed meeting outputs.
Made for: IT and development teams that record meetings and system audio locally and need notes without a bot joining the call
What it does for you
The problem
Cloud meeting bots join calls, upload recordings and leave teams without control of transcripts or notes.
What it gives you
Approved meeting notes and action lists
What you give it
Permitted local audiospeaker labelscustom promptsreview rules
Build your own version of Synopsule, Oats and more
One app with what these 7 AI tools do, yours to keep and change: Synopsule, Oats, Grain Desktop Capture, Assistly, Hintscribe, Rewind, Emra / Always on Transcription and PTT.
Everything these tools do, in one app
- Local audio capture Records system audio directly on the device without cloud uploads or bots.Found in Synopsule, Oats, Grain Desktop Capture and 4 more
- On-device transcription Converts speech to text locally using AI models.Found in Synopsule, Oats, Grain Desktop Capture and 4 more
- Bot-free operation Captures meetings without a bot joining the call as a participant.Found in Synopsule, Oats, Grain Desktop Capture and 2 more
- Speaker recognition Labels different voices and identifies who is speaking.Found in Synopsule, Oats, Assistly
- AI summarization Generates summaries of meetings or conversations.Found in Synopsule, Oats, Grain Desktop Capture and 3 more
- Local data storage Keeps recordings and transcripts on the user's device for privacy.Found in Synopsule, Oats, Rewind
- MCP integration Connects with external AI tools to share or query transcripts.Found in Synopsule, Assistly
- Real-time transcription Transcribes audio live as it is spoken.Found in Hintscribe, Assistly, Emra / Always on Transcription and PTT
- Private overlay Displays assistance on screen without appearing in screen shares or recordings.Found in Assistly
- Action item extraction Identifies and lists action items from meetings.Found in Assistly
- Push-to-type dictation Pastes spoken words directly into any active text field.Found in Emra / Always on Transcription and PTT
- Always-on background transcription Continuously transcribes audio without manual activation.Found in Emra / Always on Transcription and PTT
- Multi-language support Transcribes and processes audio in multiple languages.Found in Assistly, Oats
- Video recording Captures video alongside audio during meetings.Found in Grain Desktop Capture, Rewind
- Automatic meeting detection Detects and starts recording meetings automatically.Found in Grain Desktop Capture
- Customizable prompts Allows users to shape notes and highlights with custom prompts.Found in Grain Desktop Capture
- ChatGPT integration Enables interactive queries and content generation based on transcripts.Found in Hintscribe
- Markdown export Saves meeting notes as local Markdown files compatible with other tools.Found in Oats
- Open-source codebase Provides source code that users can audit, modify, or build upon.Found in Oats
How it works, step by step
- Capture system audio locally without cloud uploads or bots
- Transcribe speech on the device with local models
- Operate without a bot joining the call as a participant
- Label speakers and identify who is speaking
- Summarize meetings and conversations
- Store recordings and transcripts on the user's device
- Connect external AI tools through MCP to share or query transcripts
- Transcribe audio live as it is spoken
- Show a private overlay that stays out of screen shares and recordings
- Extract action items from meetings
- Paste spoken words into any active text field with push-to-type dictation
- Transcribe continuously in the background without manual activation
- Support multiple languages for transcription and processing
- Record video alongside audio during meetings
- Detect meetings and start recording automatically
- Shape notes and highlights with customizable prompts
- Query and generate content from transcripts through ChatGPT integration
- Export notes as local Markdown files
- Provide an open-source codebase for audit and modification
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export versioned approved meeting notes and action lists with source references and unresolved questions
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Local meeting capture and notes console with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Local meeting capture and notes console with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links4 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare26 KB
- prompt-vps.mdThe same build on your own server (Docker)26 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria13 KB
- demo/index.htmlThe working demo on sample data195 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Keep recordings, transcripts and notes on the device while producing reviewed meeting outputs. For IT and development teams that record meetings and system audio locally and need notes without a bot joining the call, convert permitted local audio, speaker labels, custom prompts and review rules into approved meeting notes and action lists. The benefit is a testable hypothesis, measured through accepted meeting notes per recorded hour and corrections after review; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect permitted local audio, speaker labels, custom prompts and review rules, then follow this sequence: 1. Capture system audio locally without cloud uploads or bots. 2. Transcribe speech on the device with local models. 3. Label speakers and identify who is speaking. 4. Summarize meetings and extract action items. Resolve uncertain cases with qualified reviewers, approve approved meeting notes and action lists, and measure accepted meeting notes per recorded hour and corrections after review against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. Local models run on the device; final note approval and action-item checks remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve speaker consent, source attribution, quotation accuracy and usage permissions. Named owners approve substantive changes and export scope. One operating system and one local model set; final note approval and action-item checks remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One operating system and one local model set; final note approval and action-item checks remain human. Implement one approved input format, a bounded representative case set and the first two task modules: capture system audio locally without cloud uploads or bots; transcribe speech on the device with local models. Support the remaining modules with operator review: label speakers, summarize, extract action items and export Markdown. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
User-owned devices, authorized meeting platforms and permitted local file systems. Local storage, Markdown export and MCP endpoints. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Capture and device setup, Live transcript and speaker review, Notes and export console. Use a session list for recordings, a large central transcript pane, and a right-hand panel for speakers, prompts, action items and comments. Let users compare transcript versions side by side. Display recording, transcribed, reviewed and approved states. Provide a local export link with comments anchored to the relevant transcript segment. Make the task-specific outcome approved meeting notes and action lists visible beside its evidence, review state and value baseline.
