Source-linked desktop dictation and meeting transcription console

For

Writers, consultants and small teams who dictate text and transcribe meetings on their own computers

Solves

Spoken work is scattered across separate dictation and meeting tools, and audio often leaves the machine before it becomes usable text.

Delivers

Reviewed transcripts and dictation text linked to their audio sources

Built in

about 4 weeks of creation time, MVP in 5 days

Investment

$13,000 for the MVP, $44,000 for the full product

Run it

Inside your business, or as part of your offer to clients

Reduce tool switching and keep spoken work on the user's machine while producing source-linked text.

1. Convert spoken words into text that can be pasted into any application.
2. Capture meeting audio and produce searchable notes.
3. Process audio locally on the user's computer without sending it to external servers.
4. Activate dictation with a customizable push-to-talk hotkey.
5. Show a transparent overlay for assistance without switching apps.
6. Provide an invisible chat overlay for questions while the current screen stays visible.
7. Capture notes and action items on top of other applications.
8. Run on macOS, Windows and Linux desktops.
9. Provide near-instant feedback while dictating.
10. Allow users to inspect, modify or contribute to the software's code.
11. Integrate with Fcitx5 via Unix sockets for Wayland and common Linux apps.
12. Offer a clean, low-distraction interface over the desktop.
13. Provide multiple voice styles and customizable parameters for speech output.
14. Support various languages and accents.
15. Generate results in real time for quick iterations.
16. Offer API integration with common platforms and workflows.
17. Provide a limited free version to explore core capabilities.
18. Compare the reviewed result with the recorded baseline and value assumptions.
19. Capture corrections and named-owner approval before consequential use.
20. Export a versioned reviewed transcript and dictation text linked to its audio sources with source references and unresolved questions.

Everything these tools do, in one app

• Voice-to-text dictation Converts spoken words into text that can be pasted into any application.Found in Whisperstream, Notto, NexTalk
• Meeting transcription Captures spoken content from meetings and creates searchable notes.Found in Notto
• On-device processing Processes audio locally on the user's computer without sending data to external servers.Found in Whisperstream, NexTalk
• Push-to-talk hotkey Allows users to activate dictation with a customizable keyboard shortcut.Found in Whisperstream
• Overlay interface Displays a transparent layer over the screen for AI assistance without switching apps.Found in Notto
• Invisible chat overlay Provides an overlay for asking questions or brainstorming while keeping the current screen visible.Found in Notto
• Quick note-taking Enables capturing notes and action items directly on top of other applications.Found in Notto
• Cross-platform desktop support Works on multiple desktop operating systems such as macOS, Windows, and Linux.Found in Notto
• Low latency Provides near-instant feedback while dictating, with sub-20ms latency.Found in NexTalk
• Open-source Allows users to inspect, modify, or contribute to the software's code.Found in NexTalk
• Native Linux integration Integrates with Fcitx5 via Unix sockets for compatibility with Wayland and common Linux apps.Found in NexTalk
• Minimalist UI Offers a clean, low-distraction visual interface that sits over the desktop.Found in NexTalk
• Multiple voice styles Provides various voice styles and customizable parameters to tailor speech output.Found in Aqua Voice
• Multilingual support Supports various languages and accents for global usability.Found in Aqua Voice
• Real-time generation Enables quick iterations and immediate results for voice output.Found in Aqua Voice
• API integration Offers integration options with popular platforms and APIs for seamless workflow incorporation.Found in Aqua Voice
• Free trial Provides a limited free version to explore core capabilities without commitment.Found in Aqua Voice, Whisperstream, Notto

What goes in, what comes out

The workflow

1. In
   Start with

   Microphone audio, meeting recordings, user-defined vocabulary and permitted reference documents

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect microphone audio

4. 3

   Meeting recordings

5. 4

   User-defined vocabulary and permitted reference documents

6. 5

   Then follow this sequence: 1

7. Out
   Finish with

   Reviewed transcripts and dictation text linked to their audio sources

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three 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 processing on the user's machine; final accuracy and meaning checks remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Session setup and vocabulary, Live dictation and transcript review, Meeting notes and export. Use a session list for recordings and dictations, a large central transcript canvas with audio timestamps, and a right-hand panel for vocabulary, speakers and comments. Let users compare transcript versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant transcript segment. Make the task-specific outcome reviewed transcripts and dictation text linked to their audio sources visible beside its evidence, review state and value baseline.

Accounts and administration

Project ownership, audio versions, client comments, approval states, usage allowances, revision limits, download history and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.

Integrations and data access

User-owned audio files, permitted meeting recordings and authorized reference documents. Cloud storage, document editors and note destinations. 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.

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

1. 1

   Scoping call

   Day 1

   Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

2. 2

   MVP

   5 days

   One buyer segment, one recurring use case; first modules: convert spoken words into text that can be pasted into any application; capture meeting audio and produce searchable notes. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   6 days

   Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

4. 4

   Full product

   10 days

   Self-serve onboarding, billing, monitoring and the wider integration set.

5. 5

   Run and improve

   Monthly

   We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

1. Pick the riskiest assumption. Here: will writers, consultants and small teams who dictate text and transcribe meetings on their own computers use it to solve "spoken work is scattered across separate dictation and meeting tools, and audio often leaves the machine before it becomes usable text"?
2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
3. Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Accepted transcript words per editing hour and corrections after insertion.
4. Measure, then decide. Track accepted transcript words per editing hour and corrections after insertion; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Pilot scope: One desktop operating system and one language pair; final accuracy and meaning checks remain human. Implement one approved input format, a bounded representative case set and the first two task modules: convert spoken words into text that can be pasted into any application; capture meeting audio and produce searchable notes. Support the third module with operator review: process audio locally on the user's computer without sending it to external servers. 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.

After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around reviewed transcripts and dictation text linked to their audio sources. Retain the explicit scope boundary: One desktop operating system and one language pair; final accuracy and meaning checks remain human.

What the build depends on. Audio upload and preview, asynchronous processing jobs, editable version history, reviewer access and tested export formats. High-fidelity transcription requires specialist language QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One desktop operating system and one language pair; final accuracy and meaning checks remain human.

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

Your brand, or this one

Run it under your own brand, or start from this concept style.

Selling it to your own clients: the go-to-market playbook

Pricing to test

Test a USD 300-1,500 fixed pilot for one defined audio package. Offer a monthly production allowance after repeat demand. Quote complex multilingual or specialist transcription separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewed transcripts and dictation text linked to their audio sources. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.

Message to test

Reduce tool switching and keep spoken work on the user's machine while producing source-linked text. Demonstrate a concrete reviewed transcripts and dictation text linked to their audio sources using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Writers, consultants and small teams who dictate text and transcribe meetings on their own computers professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample reviewed transcripts and dictation text linked to their audio sources from a small authorized input set, with a transparent calculation of accepted transcript words per editing hour and corrections after insertion and no promised savings.

The first 30 days

1. Week 1: interview five writers, consultants and small teams who dictate text and transcribe meetings on their own computers and inspect a recent example of spoken work scattered across separate dictation and meeting tools, and audio often leaving the machine before it becomes usable text.
2. Week 2: prepare a consented or synthetic demonstration of the three task modules.
3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
4. Week 4: measure accepted transcript words per editing hour and corrections after insertion, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.

Paid pilot

Agree quality and outcome thresholds before the pilot using this measure: Accepted transcript words per editing hour and corrections after insertion. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.

Success metrics

Accepted transcript words per editing hour and corrections after insertion; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs reviewed transcripts and dictation text linked to their audio sources. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.

Why clients would pick it

A reusable library of approved vocabulary, speaker profiles and review examples, together with reliable delivery for a narrow professional niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for writers, consultants and small teams who dictate text and transcribe meetings on their own computers. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Aqua Voice, Whisperstream, Notto and NexTalk, plus built-in operating system dictation. Compare this product with the buyer's present method on accepted transcript words per editing hour and corrections after insertion. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Audio processing, storage, reviewer hours, client revision rounds and licensed source material. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of reviewed transcripts and dictation text linked to their audio sources. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve speaker meaning, source attribution, quotation accuracy and usage permissions. Users approve substantive changes and publication scope. One desktop operating system and one language pair; final accuracy and meaning checks remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.