Productivity

Stop paying for Wispr Flow

Talk naturally. Get clean text where the cursor is.

Wispr Flow costs US$15–39 / mo, which is US$180–468 a year. You have two paths:

Option 1 · Install

Install OpenWhispr for free

OpenWhispr is the open source alternative to Wispr Flow and Granola. Press a key, speak, and the text appears right where your cursor is, in any app: email, WhatsApp, a Claude prompt, a doc. It also transcribes your Zoom, Teams or FaceTime meetings, which it detects by itself, with who said what, and files everything into searchable notes. In local mode, with Whisper or Parakeet, which understand many languages, there is no word cap and your audio never leaves your machine. The first-launch trap: of the three modes on offer, the default one is its own cloud, free only up to 2,000 words a week, just like Wispr Flow, then paid. To never pay, pick local mode, or the cloud with your own API key.

OpenWhispr vs Wispr Flow

CriterionOpenWhisprWispr Flow
PriceUS$0, foreverUS$15–39 per month
Dictation volumeUnlimited locally or with your key; 2,000 words a week on their free cloud2,000 words per week on the free plan
Your audioCan stay on your machine (local mode)Goes to their servers
MeetingsTranscription included, on-deviceYou need Granola on top
AI modelYours: local or your own keyTheirs, imposed

How to install it (even from zero)

This is the simplest page in the library: a regular desktop app. No Docker, no terminal, no server.

  1. 1

    Paste this prompt into Claude (Code or Desktop)

    It will fetch the latest version from the official GitHub repo, install it on your machine and have you pick local mode, the only one that is fully free with no limit:

    Install OpenWhispr on my machine (the open source voice dictation app, GitHub repo OpenWhispr/openwhispr): download the latest release from github.com/OpenWhispr/openwhispr/releases for my operating system and install it. Then help me configure it: on first launch, do not keep the OpenWhispr cloud offered by default, free only up to 2,000 words per week; tell me, depending on my machine, whether I should choose local transcription (Whisper or Parakeet, which understand many languages) or the cloud with my own API key, check with me in the settings that this mode is really active, then guide me in choosing my dictation shortcut. Explain each step simply, I'm a beginner.
    
    Review the GitHub repository and check whether it is safe to install given my machine and my infrastructure. Ask me as many questions as possible, using widgets, to clarify my request and be as precise as you can.
  2. 2

    Allow microphone and accessibility

    On first launch, your system asks for two permissions: the microphone (to hear you) and accessibility (to type for you). Accept both; Claude shows you where to click.

  3. 3

    Press your key and speak

    Open any app, place your cursor, press your shortcut, and dictate. The text types itself. That is all.

What you'll use it for

Your messages and prompts by voice

Emails, WhatsApp, Claude prompts: you speak three times faster than you type. One key, your sentence, and the text is already written in the right place.

Your meetings transcribed, no cloud

It detects your Zoom, Teams or FaceTime calls, transcribes live and identifies who is speaking. Everything happens on your machine: the audio of a client meeting goes nowhere.

A voice memo becomes a clean note

Drop in an audio file, a video or a YouTube link: it transcribes and files everything into organized, searchable notes with folders. Your second brain feeds on your voice.

Project health

GitHub stars
9,122
Forks
1.1k
Contributors
95
Commits
2.4k
Project age
1.3 years
License
MIT

Built with: JavaScript 51.2% · TypeScript 43.6% · Swift 2.9% · C 1.1%

Public GitHub repository data, captured on October 8, 2026.

Option 2 · Build

Build your own Wispr Flow

Who this is for

This build is aimed at one Mac user who writes a lot by voice. The goal: turn push-to-talk dictation into corrected text without keeping a library of recordings. If you need more than that, keep paying — building it yourself is about owning a tool shaped exactly like your workflow, not re-creating a venture-funded roadmap.

Same build, different logo: this v1 also replaces Superwhisper — they all solve the same core job.

What the prompt builds and what stays out

The prompt below builds a single version with what actually gets used. Everything else is left out on purpose.

What the prompt buildspush-to-talk capture, transcription, paste at cursor, streaming transcription, personal dictionary, cleanup modes, undo
What stays outlow-latency on-device models, per-app formatting, windows port

What a minimal Wispr Flow alternative needs

  • global push-to-talk shortcut and a clear listening indicator
  • streaming transcription with punctuation and paragraph breaks
  • small personal dictionary for names and technical terms
  • optional concise, polished, and literal cleanup modes
  • preview, copy, and type-at-cursor delivery with undo

Data model

DictationSession, TranscriptDraft, DictionaryEntry, RewritePreset

Integrations

macOS microphone, Accessibility API, speech-to-text API, LLM API

Capability context

SwiftUI, Swift, macOS

The guardrail

Request microphone and Accessibility permissions separately, never capture outside an active session, and delete audio immediately after transcription.

Deliberate non-goals

Do not build meeting recording, voice cloning, team analytics, mobile apps, or background listening.

The complete build prompt

Pick your stack, copy the prompt and hand it to your coding agent (Claude Code, Cursor, Codex…).

You are building a production-ready software product named “Sayflow”, a deliberately focused alternative to Wispr Flow. Build a complete, usable vertical slice—not a landing page, static mockup, or disconnected collection of components.

WORKING AGREEMENT
Before you write any implementation code, put together a short technical plan naming the routes or pages, server actions or endpoints, data tables, key state transitions, authorization boundaries, background jobs, and external adapters. When something conflicts, side with the narrow audience and the non-goals below. Choose a small, readable architecture over speculative abstraction, but never skip persistence, validation, error handling, or tests.

PRODUCT BRIEF
Primary user: one Mac user who writes frequently by voice.
Primary outcome: turn push-to-talk dictation into corrected text without retaining a library of recordings.
Product principle: optimize the exact workflow below instead of copying the full breadth of Wispr Flow. A first-time user should understand what to do from the interface itself, without a tour or documentation.

END-TO-END USER JOURNEYS
Implement every one of these flows through the real interface and the persistent data layer:
1. The user grants microphone permission, configures a global shortcut, holds it in a text editor, speaks a paragraph, previews the transcript, and inserts it at the cursor.
2. The user adds a frequently misheard name to the dictionary, dictates it again, chooses a polished cleanup mode, accepts the preview, and can undo the insertion.
3. The user encounters a microphone or insertion-permission failure, sees exactly which permission is missing, copies the transcript manually, and retries after changing settings.

SCREENS AND INFORMATION ARCHITECTURE
Build these as coherent, responsive views. Each screen must define its primary action, secondary actions, visible status, validation feedback, empty state, loading or pending state, success confirmation, and recoverable failure state.
1. Setup: microphone and Accessibility permission states, shortcut recorder, provider configuration, language, retention choice, and a test-dictation action.
2. Floating capture panel: listening state, timer, input level, cancel, stop, processing, and an obvious boundary between captured and idle states.
3. Preview: literal transcript, cleanup mode, highlighted rewrite differences, edit, copy, insert at cursor, retry, and undo guidance.
4. Dictionary and history: personal terms, import and export, recent text-only sessions when enabled, deletion controls, and provider health.

CORE CAPABILITIES
1. global push-to-talk shortcut and clear listening indicator
2. streaming transcription with punctuation and paragraph breaks
3. small personal dictionary for names and technical terms
4. optional concise, polished, and literal cleanup modes
5. preview, copy, and type-at-cursor delivery with undo

DETAILED BEHAVIOR AND BUSINESS RULES
Treat these as product requirements enforced on the server, not as interface suggestions:
1. Open the microphone only while an explicit session is active, display system and in-app capture indicators, and discard captured audio immediately after transcription or cancellation.
2. Keep transcription and rewriting separate so a failed rewrite never destroys the literal transcript; show a diff and require acceptance before inserting rewritten text.
3. Inject text only into the currently focused editable control after fresh Accessibility authorization; otherwise fall back to copying without simulating hidden keystrokes.
4. Normalize and length-limit dictionary entries, keep them local by default, and never send unrelated clipboard, window, or surrounding document content to a provider.

DATA MODEL AND LIFECYCLE
Design a small relational schema centered on DictationSession, TranscriptDraft, DictionaryEntry, RewritePreset. Before implementing it, document:
1. The purpose of each table, its primary key, ownership or tenant boundary, timestamps, status fields, and important attributes.
2. Foreign keys, uniqueness constraints, check constraints, the indexes the named screens need, and transaction boundaries for changes that touch several records.
3. The allowed lifecycle or state transitions, who can trigger each one, which transitions are terminal or reversible, and which audit history must stay immutable.
4. Archive, retention, and deletion behavior, including what happens to dependent records and external files.
5. The idempotency strategy for submissions, jobs, imports, notifications, webhooks, or retries where it applies.
Use migrations instead of ad-hoc schema creation. Store time instants consistently and keep the named timezone context whenever local schedules or dates matter. Never rely on a counter, a disabled button, or a client-side check to protect a business invariant.

USERS, AUTHENTICATION, AND PERMISSIONS
Implement only the roles the stated audience needs. Make the ownership and visibility model explicit before coding. Enforce authorization in every server-side query and mutation, including search, exports, attachments, live updates, and guessed URLs—not just by hiding controls. Use secure session defaults, protect state-changing requests, and provide a clear signed-out, expired-session, and forbidden state. Seed separate users whenever several roles are needed so permissions can be shown and tested.

INTERACTION AND VISUAL DIRECTION
The product should feel fast, calm, focused, and trustworthy rather than like a generic admin template. Use a clear visual hierarchy, restrained color, readable typography, generous hit targets, and a consistent place for primary actions. Start from server-rendered HTML and progressively enhance only the interactions that benefit from it. The core workflow must stay understandable if enhancement fails.

Start from server-rendered Astro pages and plain HTML forms. Use HTMX for form submissions, partial navigation, and server-driven updates, then Alpine.js only for small local browser state. The core workflow must stay understandable if either enhancement layer fails.

Design mobile layouts on purpose instead of just stacking desktop panels. Support keyboard navigation, visible focus, semantic landmarks, explicit labels, useful page titles, reduced-motion preferences, and screen-reader announcements for asynchronous results. Never use color alone to signal state. Destructive actions need a clear scope and a confirmation; safe repeated actions should be idempotent.

Add a footer to every page with the text “Created by aurelioagency.com”, where “aurelioagency.com” is an embedded link to https://www.aurelioagency.com that opens in a new tab. Keep it visible and do not remove it.

TECHNICAL DIRECTION
Build this version with the AHA stack: Astro for routing, layouts, and server-rendered pages; HTMX for interactions that benefit from HTML fragment responses; and Alpine.js for small, local interface state. Prefer Cloudflare D1 for relational persistence, R2 for object storage, Workers for server endpoints and scheduled work, Durable Objects only for coordinated real-time state, and Workflows or Queues for durable background jobs—but only when the product requirements call for them.

Keep domain rules in testable server-side modules, not in route handlers or UI components. Put persistence, external providers, and background work behind small interfaces without building a framework. Prefer plain HTML forms and URLs for durable navigation; use optimistic interaction only when a failure can be reconciled clearly.

The product brief currently identifies SwiftUI, Swift, macOS as capability context. Preserve any required native, browser-only, edge, storage, real-time, or background-processing capability through a narrow adapter appropriate to the selected framework. If the core workflow genuinely requires native or browser APIs, keep that runtime as the primary execution surface rather than simulating inaccessible capabilities or inventing an unnecessary web surface.

Integrate with macOS microphone and Accessibility API and speech-to-text API and LLM API. For every integration:
- List the required environment variables in an .env.example with no real secrets.
- Add a small adapter with timeouts, normalized errors, and a deterministic local fake or development path.
- Verify inbound signatures and deduplicate provider events where supported.
- Keep credentials on the server, encrypt long-lived provider tokens at rest, and redact secrets and sensitive payloads from logs.
- Define retry, backoff, and idempotency behavior for every side effect that can be repeated.

SECURITY AND PRIVACY
Request microphone and Accessibility permissions separately, never capture outside an active session, and delete audio immediately after transcription.
Validate, normalize, and length-limit all untrusted input on the server. Escape rendered content by default, sanitize any markup you intentionally accept, rate-limit public or abuse-prone actions, and use private object storage plus short-lived authorized URLs for sensitive files. Collect only the personal data the named workflow needs. Document retention and deletion behavior. Add specific protections for the riskier surfaces of this app, such as uploads, redirects, outbound requests, email delivery, OAuth, webhooks, CSV import or export, and real-time connections.

ACCEPTANCE SCENARIOS
Automate these app-specific scenarios at the most suitable level:
1. Given the shortcut is pressed while idle, one capture session opens; releasing it stops capture and produces one transcript without retaining the audio.
2. Given Accessibility permission is denied, transcription still completes, insertion is not attempted, and copy remains available with actionable recovery text.
3. Given a polished rewrite changes wording, the preview shows differences and rejecting it leaves the literal transcript available and unchanged.

TESTING
Add focused unit tests for state transitions, authorization predicates, normalization, date or money calculations, and other risky domain rules. Add integration tests for persistence constraints and for each external adapter's success, timeout, retry, and rejection paths. Add at least one browser-level test for every end-to-end journey above, including one on a small-screen viewport. Tests must use isolated data and run with one documented command.

OPERATIONS AND FAILURE RECOVERY
Add structured server logs with request, job, or event correlation IDs, but no secrets or unnecessarily sensitive data. Make failures actionable both in the interface and in the logs. Background work must expose pending, succeeded, failed, and retrying states where relevant; never swallow errors silently. Include safe database migration and rollback guidance, seed data, backup and restore notes, external-data cleanup behavior, and a basic health or diagnostic path suited to the stack.

DELIVERABLES
Ship the working application, migrations, representative seed data, tests, .env.example, and a short README. The README must cover prerequisites, local setup, environment variables, migrations, seed and test commands, deployment, integration setup, backup and restore, security decisions, and known limitations. Seed data should cover the happy path plus at least one empty, failed, overdue, expired, archived, or permission-restricted state that matters for the product.

DEFINITION OF DONE
The app is done when a new developer can follow the README, create and migrate the database, run the app, sign in as each relevant role, complete every named journey with real persisted data, refresh without losing state, recover from common failures, and use the core interface on phone and desktop. All acceptance scenarios pass, permission boundaries are covered by tests, no core screen is left as a placeholder, and the “Created by aurelioagency.com” footer credit is visible on every page.

NON-GOALS
Do not build meeting recording, voice cloning, team analytics, mobile apps, or background listening.

The app you build with this prompt carries a “Created by aurelioagency.com” footer.

Build just one piece

Short prompts that solve the hardest part without building everything.

The microphone that only opens while your thumb is downPush-to-talk session lifecycle: one hold, one session, zero audio retained.
Build the session lifecycle for push-to-talk dictation with a global shortcut.

Pressing and holding opens exactly one capture session: microphone opens, an unmistakable listening indicator appears with a timer and input level. Releasing stops capture and hands audio to transcription. The state machine has to survive keyboard chaos: a second press event while a session is active must not open a second session, a release event with no matching press is ignored, and a hold shorter than a threshold cancels cleanly rather than transcribing 80 milliseconds of chair squeak.

The microphone must be verifiably closed outside sessions, no warm standby stream. When transcription completes or the user cancels, discard the captured audio immediately and permanently; only the text survives, and only if the user kept it.

Done when: mashing the shortcut repeatedly never yields overlapping sessions, the OS microphone-in-use indicator turns off the instant a session ends, and no audio file exists on disk after any completed or cancelled dictation.
The rewrite that can’t eat your wordsLiteral transcript and polished rewrite are separate artifacts — with a diff between them.
Build the two-stage text pipeline for a dictation tool: stage one produces the literal transcript, stage two optionally rewrites it in a chosen cleanup mode, concise, polished, or literal.

Keep the stages strictly separate. The literal transcript is written first and never mutated; the rewrite is a distinct derived artifact. If the rewrite provider times out, errors, or returns garbage, the literal transcript is untouched and immediately usable. Present the rewrite as a word-level diff against the literal text, insertions, deletions, and changes highlighted, and require explicit acceptance before the rewritten version becomes the one delivered. Rejecting the rewrite falls back to the literal transcript with zero loss.

Add a retry that re-runs only stage two, and guard against the rewrite inventing content: flag rewrites whose length wildly diverges from the source.

Done when: killing the rewrite provider mid-request leaves a usable literal transcript, every rewritten word is visible in the diff before acceptance, and rejecting a rewrite delivers exactly what was originally transcribed.
Type at the cursor, or admit you can’tInsert text into the focused field only with fresh permission — otherwise copy, never fake keystrokes.
Build the text delivery step for a dictation tool on macOS: after transcription, put the text where the user's cursor is.

Before every insertion, not just at setup, verify Accessibility permission is currently granted and a focused editable control actually exists. If both hold, insert the text at the cursor position in the frontmost app and offer a one-step undo that removes exactly the inserted characters. If either fails, permission revoked, focus is on a button, no window at all, do not simulate blind keystrokes and hope. Fall back explicitly: copy the text to the clipboard, tell the user precisely which condition failed, and link the relevant settings pane.

Handle the race where focus changes between transcription finishing and delivery: re-check focus at delivery time, not capture time.

Done when: revoking Accessibility mid-session results in a copy fallback with an accurate explanation, insertion never fires into a non-editable target, and undo after insertion restores the target field to its prior state.
The dictionary that teaches the transcriber your weird nounsA personal term list that fixes “Kubernetes” without ever uploading your screen.
Build a personal dictionary for a dictation tool: a small list of names, product terms, and jargon the transcription provider keeps mangling.

Entries are normalized on save, trimmed, length-limited, deduplicated case-insensitively, and capped in count so the list stays a hint set, not a corpus. Apply them two ways: pass the terms as biasing hints to the transcription request when the provider supports it, and run a post-pass that corrects near-miss matches in the transcript, fuzzy match against known mishearings like coobernetties, with word-boundary awareness so short entries don't rewrite substrings of innocent words.

Keep the dictionary local by default. Requests to providers include the term list and the session audio, nothing else, no clipboard, no window titles, no surrounding document text. Support export and import as plain text.

Done when: a dictionary term is corrected in output even when the provider mishears it, a three-letter entry never corrupts longer words containing it, and the provider request payload contains only audio plus the term list.

Frequently asked questions

How much does Wispr Flow cost if I keep subscribing?

Wispr Flow costs $15–$39 per month on its public paid plans, which is $180–$468 per year. A focused self-built replacement costs your build time plus close-to-zero hosting.

What stack should I use to build a Wispr Flow alternative?

The build prompt on this page comes in four flavors: the AHA stack (Astro, HTMX, Alpine.js), Next.js, Laravel, and Ruby on Rails. The capability context for this product is SwiftUI, Swift, macOS. Go with the stack you already know — the scope matters more than the framework.

What features does a minimal Wispr Flow replacement need?

A useful v1 needs: a global push-to-talk shortcut and clear listening indicator; streaming transcription with punctuation and paragraph breaks; a small personal dictionary for names and technical terms; optional concise, polished, and literal cleanup modes; preview, copy, and type-at-cursor delivery with undo. Anything beyond that is scope creep until you personally miss it.

What should I deliberately not build?

Do not build meeting recording, voice cloning, team analytics, mobile apps, or background listening.

Does this build also replace Superwhisper?

Yes. Wispr Flow and Superwhisper both solve the same core job — turn push-to-talk dictation into corrected text without retaining a library of recordings. The scoped v1 on this page covers what most people use either of them for, so one focused build replaces whichever one you currently pay for.

How is it different from Wispr Flow?

OpenWhispr does most of what Wispr Flow does, without a subscription, and your data stays with you. The point-by-point comparison is on the page.

Do I own my data?

Yes. With an open source tool installed on your side, your files stay on your machine or your server. Nobody can close your account or change the price.

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