Screenshot of the Any-app voice dictation and editing workspace interactive demo
Screenshot of the interactive demo, on sample data

Any-app voice dictation and editing workspace

Reduce the time between speaking and a usable written draft while keeping the writer's meaning.

Try the interactive demo Get this built for you

For
Writers, support teams and field staff who type into many apps on an iPhone
Solves
Spoken words must be retyped or pasted between separate dictation, keyboard and rewriting tools before text is usable.
Delivers
Writer-approved text inserted into the active field
Built in
about 5 weeks of creation time, MVP in 5 days
Investment
$13,500 for the MVP, $46,000 for the full product
Run it
Inside your business, or as part of your offer to clients
01

What it does

Reduce the time between speaking and a usable written draft while keeping the writer's meaning.

  1. Capture speech and convert it to text.
  2. Insert text into any app text field through a custom keyboard.
  3. Add punctuation, paragraphs and basic formatting automatically.
  4. Return text with low latency after speech ends.
  5. Correct typing mistakes in the keyboard.
  6. Manage a personal dictionary for names and technical terms.
  7. Adjust tone from the target app or selected context.
  8. Rewrite dictated text into clearer phrasing or a chosen tone.
  9. Translate speech between supported languages during dictation.
  10. Support many languages and dialects.
  11. Delete audio after transcription or apply zero data retention.
  12. Sync account and continue dictation across devices.
  13. Provide a free tier for basic dictation.
  14. Unlock unlimited use and advanced rewriting through a paid plan.
  15. Meet privacy and security compliance standards such as SOC 2 and HIPAA.
  16. Clean up and auto-edit dictated text as the user speaks.
  17. Match tone to the context of the target app.
  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 writer-approved text record with source references and unresolved questions.

Everything these tools do, in one app

What goes in, what comes out

What the customer puts in
  • Permitted speech
  • Personal dictionary terms
  • Target-app context
  • Language settings

AI drafts, people review. Source-based content workspace with editorial delivery.

What the customer gets
  • Writer-approved text inserted into the active field
02

How it works

The workflow

  1. In
    Start with

    Permitted speech, personal dictionary terms, target-app context and language settings

  2. 1

    Confirm the buyer's problem and scope

  3. 2

    Collect permitted speech

  4. 3

    Personal dictionary terms

  5. 4

    Target-app context and language settings

  6. 5

    Then follow this sequence: 1

  7. Out
    Finish with

    Writer-approved text inserted into the active field

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. One approved iPhone keyboard extension and a fixed language set; final wording and meaning checks remain with the writer. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Dictation and keyboard setup, Editable transcript and rewrite panel, Dictionary and privacy settings. Use a large central transcript with the active target app shown above it, and a right-hand panel for tone, language, dictionary and rewrite options. Let users compare raw and edited versions side by side. Display draft, changes requested and approved states. Provide a shareable review link for team transcripts with comments anchored to the relevant passage. Make the task-specific outcome writer-approved text inserted into the active field visible beside its evidence, review state and value baseline.

Accounts and administration

Project ownership, asset 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

Author-owned manuscripts, authorized interviews and permitted research sources. Cloud asset storage, design-file import/export and publishing 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.

03

How we build it

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: capture speech and convert it to text; insert text into any app text field through a custom keyboard. 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

    2 weeks

    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, support teams and field staff who type into many apps on an iPhone use it to solve "spoken words must be retyped or pasted between separate dictation, keyboard and rewriting tools before text is usable"?
  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: Usable words per minute and correction rate after insertion.
  4. Measure, then decide. Track usable words per minute and correction rate 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 approved iPhone keyboard extension and a fixed language set; final wording and meaning checks remain with the writer. Implement one approved input format, a bounded representative case set and the first two task modules: capture speech and convert it to text; insert text into any app text field through a custom keyboard. Support the third module with operator review: add punctuation, paragraphs and basic formatting automatically. 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 writer-approved text inserted into the active field. Retain the explicit scope boundary: One approved iPhone keyboard extension and a fixed language set; final wording and meaning checks remain with the writer.

What the build depends on. Asset upload and preview, asynchronous generation jobs, editable version history, reviewer access and tested export formats. High-fidelity production requires specialist creative QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One approved iPhone keyboard extension and a fixed language set; final wording and meaning checks remain with the writer.

04

Investment

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

  1. Phase 1

    MVP

    One buyer segment, one recurring use case; first modules: capture speech and convert it to text; insert text into any app text field through a custom keyboard. Manual review in the loop.

    $13,500 · about 5 days of creation time

  2. Phase 2

    Paid pilot

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

    $13,500 · about 6 days of creation time

  3. Phase 3

    Full product

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

    $19,000 · about 2 weeks of creation time

Indicative total, MVP to full product$46,000about 5 weeks of creation time · start with the MVP from $13,500

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.

StageHosting and infrastructureAI usageTotal per month
MVP and paid pilotabout 3 customers$30–$60$70–$140$100–$200
Full productabout 50 customers$110–$210$700–$1,400$810–$1,610
05

Run it or resell it

Internally

For your own team

Writers, support teams and field staff who type into many apps on an iPhone run it inside the business: permitted speech, personal dictionary terms, target-app context and language settings in, writer-approved text inserted into the active field out, reviewed by your people.

For your clients

As part of your offer

Agencies, consultancies and software companies can offer it to their own clients under their brand. We build and maintain it; you sell and deliver it.

Your brand, or this one

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

  • primary#91272c
  • accent#54c9ac
  • surface#f1e4e5
  • ink#22201e
Headings
Sora
Text
Work Sans
Voice
Literate, generous, editorial
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 asset package. Offer a monthly production allowance after repeat demand. Quote complex video, 3D or specialist design separately. These are test prices, not market benchmarks. Package the initial sale as one bounded writer-approved text inserted into the active field. 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 the time between speaking and a usable written draft while keeping the writer's meaning. Demonstrate a concrete writer-approved text inserted into the active field using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Writers, support teams and field staff who type into many apps on an iPhone professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample writer-approved text inserted into the active field from a small authorized input set, with a transparent calculation of usable words per minute and correction rate after insertion and no promised savings.

The first 30 days

  1. Week 1: interview five writers, support teams and field staff who type into many apps on an iPhone and inspect a recent example of spoken words must be retyped or pasted between separate dictation, keyboard and rewriting tools before text is usable.
  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 usable words per minute and correction rate 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: Usable words per minute and correction rate 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

Usable words per minute and correction rate 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 writer-approved text inserted into the active field. 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 styles, production constraints and review examples, together with reliable delivery for a narrow creative niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for writers, support teams and field staff who type into many apps on an iPhone. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Willow on iOS, dictate., Wispr Flow for iOS, and the phone's built-in keyboard dictation. Compare this product with the buyer's present method on usable words per minute and correction rate after insertion. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Generation attempts, video or image processing, storage, reviewer hours, client revision rounds and licensed source assets. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of writer-approved text inserted into the active field. Track cost per accepted output, including correction work, unsuccessful cases and support.

06

Safeguards

Preserve author voice, source attribution, quotation accuracy and usage permissions. Authors approve substantive changes and publication scope. One approved iPhone keyboard extension and a fixed language set; final wording and meaning checks remain with the writer. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.

Get this solution built

Built for you by our AI software factory, MVP in about 5 days. Tell us about your business and how you want to run it: inside your company, or as part of what you offer your clients. We reply within one working day.

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