Best AI Dictation Tools for Faster Typing: Free and Paid Options
If you’d rather speak a long AI prompt or an email than type it, you need an app that turns your speech into text you can review before sending. This guide to the best AI dictation tools will help you choose between free and paid options.
I currently use Raycast’s built-in dictation, and I like it a lot.
Your language and the apps you write in affect the choice, so one recommendation won’t suit everyone. I’ve focused on dictation for prompts and everyday messages, including free tools such as Kaze and Handy, with their system requirements and offline settings explained alongside the paid options.
I’ve also included a sample prompt you can dictate to check whether an app preserves a corrected date and price, plus a copyable instruction that asks it to remove filler words without rewriting your meaning. Let’s get started.
Quick Comparisons
Your operating system and need for offline processing determine which apps you can use. An existing subscription may also include dictation, saving you the cost of a separate app.
These recommendations compare documented features and costs; they aren’t a ranking of measured transcription accuracy.
| Your Situation | Start With | What You Get |
|---|---|---|
| You only need occasional voice typing | Built-in dictation | Voice entry included with your device or writing app |
| You want free dictation on macOS 26 or later | Kaze | Local model options and automatic paste with clipboard restoration |
| You want a free, open-source desktop app | Handy | Local recognition on macOS, Windows and Linux |
| You want recognition and cleanup to run locally | Parrot | Free local speech and cleanup models; Linux integration requires X11 |
| You want free local dictation without an account | Spokenly | Unlimited local processing, with optional paid cloud features |
| You use Linux with Wayland | Voxtype | Desktop keybindings and documented text-insertion tools |
| You want local dictation plus a cloud allowance | OpenWhispr | Unlimited local use and 2,000 managed-cloud words per week |
| You already pay for Raycast Pro | Raycast | Native Dictation included in the subscription |
| You move between desktop and mobile | Wispr Flow | Mac, Windows, iOS and Android apps; free allowances vary |
| You want to choose recognition and cleanup models separately | Superwhisper | Separate voice and language-model settings |
| You prefer a one-time Mac license | VoiceInk | A paid Apple Silicon Mac app with local transcription |
Aqua Voice and Typeless are also worth comparing if technical vocabulary or more extensive text cleanup is the reason you’re shopping. Their plan differences matter more than another general-purpose “best overall” label.
Best Free AI Dictation Tools
The tools below provide free local transcription. Some also offer cloud processing, so the selected model and cleanup settings determine whether you incur provider charges.
Kaze
Kaze is a free Mac dictation app to try before buying VoiceInk or Superwhisper. It runs from the menu bar: hold a shortcut, speak, then release to paste the transcript into the app you’re using.

- Price: free, under the MIT license; a ready-to-install Mac download is available from GitHub Releases.
- Requirement: macOS 26 or later, with microphone and Accessibility permissions.
- Recognition choices: downloaded Whisper or Parakeet models for local transcription; Apple’s Direct Dictation is another selectable mode.
- Editing controls: custom vocabulary and configurable text-processing instructions.
- Clipboard behavior: the app saves and restores the clipboard around its automatic paste.
For a free local setup, download a Whisper or Parakeet model and keep Cloud AI enhancement and formatting off. The released app includes those optional cloud settings and uses your provider key, which can create usage charges. Its local Apple Intelligence features also depend on availability on your Mac. Kaze’s released processing code.
Kaze’s macOS requirement rules it out for an older installation. On a compatible Mac, its combination of a global shortcut and clipboard restoration addresses the repeated copy-and-paste step without requiring a paid plan.
Handy
Handy is the straightforward free, open-source desktop option. Its core job is to recognize your speech locally and insert the text into the app you’re using, which is what a dictation app should make convenient.

The Handy project provides:
- Price and license: free, under the MIT license.
- Platforms: macOS, Windows and Linux.
- Core workflow: download a model, choose a shortcut, speak and insert the transcript.
- Post-processing: supported, so it shouldn’t be dismissed as a tool with no cleanup options.
The practical qualification is text insertion. Handy documents platform-specific setup, including Linux display-server and shortcut issues. A model producing a good transcript inside the app doesn’t prove that pasting into your email composer will be equally reliable.
I would test the ordinary shortcut-and-paste workflow before spending time tuning post-processing. For an offline setup, any optional processor also needs to be local; the recognition model’s location alone doesn’t settle that question.
Parrot
Parrot is worth comparing if you want both speech recognition and text cleanup to run locally. It includes a local language model for cleanup, so removing filler words doesn’t require sending the transcript to a hosted rewriting service.

- Price: free and MIT-licensed, without a subscription or word limit.
- Downloads: packaged apps for macOS, Windows and Linux.
- Customization: a personal dictionary and an editable cleanup prompt.
- Processing: speech and cleanup models run on the computer; model downloads and app updates require network access.
The Linux qualification is substantial: Parrot’s documented Linux release supports X11, but automatic paste and global shortcuts aren’t implemented for Wayland. Windows insertion can also fail when the destination app runs with administrator privileges. Parrot’s platform and privacy details.
That makes Parrot a candidate for local cleanup on Mac, Windows or Linux X11. A Linux user running Wayland should look at Voxtype instead of assuming that a Linux download guarantees the shortcut-and-paste workflow.
Spokenly
Spokenly provides free local dictation without an account or a weekly word limit. Its paid plan adds managed cloud processing.

Its plan details include:
- Free local dictation: unlimited use without an account.
- Local models: Whisper and Parakeet options.
- Bring your own API keys: no additional charge from Spokenly, with provider usage billed separately.
- Optional Pro: $99.99 annually for managed cloud features.
- Listed platforms: macOS, Windows, Linux and iOS.
Spokenly isn’t open source. It identifies that distinction in its own comparison with OpenWhispr, which makes Handy or OpenWhispr more relevant if access to the code is part of your requirement.
The free plan’s local text processing also needs a platform check: its pricing table names Apple Intelligence for local cleanup. That doesn’t establish the same offline cleanup capability on every supported system.
Pro becomes relevant if you want Spokenly to manage cloud transcription and text cleanup for you. The free local plan can remain your everyday dictation tool if you don’t need those cloud features.
OpenWhispr
OpenWhispr lets you compare an on-device model with managed cloud transcription in the same desktop app. You can try both before deciding whether to pay for unlimited cloud use.

Its pricing includes:
- Free local dictation: unlimited.
- Free managed-cloud transcription: 2,000 words per week.
- Your own API keys: supported, with provider costs separate.
- Pro: $80 per year for unlimited managed cloud transcription and additional features.
- Desktop platforms: macOS, Windows and Linux; the desktop app is MIT-licensed.
Those are three different cost arrangements. Running a local model has no per-use cloud provider bill, the managed free allowance resets weekly, and your own API key can create usage charges even while the app remains free.
OpenWhispr’s security documentation also distinguishes these routes. Local transcription stays on the device; your own key sends audio to the provider you select; managed cloud processing goes through OpenWhispr’s service. Optional cloud sync can store transcript history remotely.
The public desktop code is useful if you want to inspect the software. It doesn’t make the separate hosted service a local service, and your own provider account still has its own terms.
Voxtype
Voxtype provides push-to-talk dictation for Linux, including Wayland desktops. Its documentation covers shortcuts configured through the desktop or window manager and the tools needed to insert the transcript at the cursor.

- Price: free, under the MIT license.
- Platforms: Linux and macOS; the project provides prebuilt packages.
- Recognition: local by default, with optional remote processing.
- Text handling: word replacements and spoken punctuation, plus optional processing through a local language model or a script.
The setup is more technical than installing a Mac menu-bar app. You may need to configure your desktop’s shortcut and install a text-insertion utility such as wtype. Voxtype’s setup documentation explains the platform-specific steps.
Voxtype is a better fit when you want dictation integrated with a Linux desktop you already configure yourself. Keep any optional post-processing local if avoiding cloud charges or transcript uploads is the reason you chose it.
What AI Dictation Should Do
Dictation can involve three separate jobs. Before choosing an app, it helps to know which one you want it to do.
- Speech recognition turns the sounds you make into words. It needs to hear a name or amount correctly before anything else can work.
- Cleanup removes a false start or fixes punctuation while preserving the thought. If you correct Tuesday to Wednesday, Wednesday should survive.
- Rewriting changes the expression or structure. Making a rough explanation into a formal email is a bigger intervention than removing an “um.”
Cleanup is useful. Rewriting should be intentional. A dictation app that makes a sentence sound more professional while quietly strengthening a promise has created more work for you, even if the grammar looks better.
The comparison I care about is:
Time to usable text = speaking time + waiting for insertion + review and correction time.
That last part can change the result completely. A transcript that appears immediately but needs careful repair may take longer than typing the same message yourself.
The AI writing tools you use afterward have a different job. Dictation should first get your instruction or explanation into the text field without deciding what you meant to ask.
Paid AI Dictation Tools
A paid app should reduce correction time or provide a feature your free option lacks. Several apps below offer free allowances, so you can compare their output before subscribing. Dollar amounts are in U.S. dollars unless stated otherwise; regional checkout prices and taxes can differ.
Raycast
Raycast is my first recommendation for someone who already has Pro. Its native Dictation feature is part of that plan. Before paying for another app, dictate a prompt or email with Raycast and check how much time you spend correcting it.

- Price: Pro costs $10 month to month or $96 annually. Native Dictation isn’t included in the permanently free launcher. Raycast pricing.
- Controls: custom vocabulary and global instructions let you specify names and writing preferences. App Context can use nearby text to help interpret what you’re saying. Dictation manual.
- Output: a shortcut starts dictation, and the result can be pasted into the active app or copied to the clipboard, depending on your settings.
The vocabulary should contain names the app repeatedly mishears. Cleanup instructions should specify which changes you want, such as removing filler words or fixing punctuation. A request to “make this professional” also invites changes to your wording.
Raycast is not an offline recommendation. Its privacy documentation says audio goes to a speech-to-text partner. Dictation history is stored locally, and enabling App Context adds nearby text and app details to that request. Its no-training and retention commitments don’t change where transcription happens. Raycast dictation privacy.
This is Raycast’s native feature. A third-party dictation extension from its store can have a different provider and privacy policy. The WordPress Manager extension is a separate part of my Raycast workflow, too.
Wispr Flow
Wispr Flow is the standalone alternative I’d shortlist when you want voice input across desktop and mobile. Its advantage here is the range of supported devices, rather than a claim that it will recognize every person’s speech better.

Its pricing page lists:
- Platforms: Mac, Windows, iOS and Android.
- Free desktop allowance: 2,000 words per week.
- Free iPhone allowance: 1,000 words per week.
- Free Android allowance: unlimited dictation.
- Pro: $15 monthly or $144 annually for unlimited dictation.
The Android allowance changes the buying decision. Someone using Flow only on Android doesn’t have the same reason to upgrade as someone repeatedly exhausting the desktop allowance.
Indian readers should also compare the local purchase route. The Indian App Store listing lists ₹400 for the monthly Pro plan and ₹3,849 annually. Those are App Store prices, not a promise about every checkout or region.
Flow’s transcription runs in the cloud. Its settings separate permission to use dictation data for model improvement from cloud storage of your dictation history, so these should be checked individually. Wispr privacy controls.
If you’re choosing between Flow and Raycast, I’d compare them in the same email composer and AI prompt box. Check whether each app inserts the transcript where your cursor is, without requiring you to copy it from a separate window.
Superwhisper
Superwhisper makes more sense when you want control over how speech becomes text. It separates the voice model, which recognizes speech, from the language model that processes the transcript. That gives you room to keep ordinary dictation restrained while using another mode for more deliberate rewriting. Superwhisper features.

The Pro documentation lists:
- Monthly: $8.49.
- Annual: $84.99.
- Lifetime: $249.99.
- License coverage: Mac, Windows, iPhone and iPad.
The free-plan information needs care. Superwhisper’s homepage advertises unlimited Whisper models and custom prompt control, while its Pro comparison puts local voice models and custom modes behind Pro. Confirm the free features in the app before depending on free offline use. The two official descriptions don’t agree closely enough for that promise.
Windows also has feature gaps. Its documentation lists configuration syncing and simulated keypresses among the features still being developed. A license covering several platforms doesn’t mean each app has identical behavior. Windows feature support.
Superwhisper is worth considering if you want to choose where recognition runs and configure text cleanup separately. If you mostly want to press a key and speak, those model choices add setup decisions you may not need.
VoiceInk
VoiceInk is the one-time purchase I’d consider for local transcription on an Apple Silicon Mac. Its Mac license covers the app; enabling optional cloud enhancement sends the transcript off the computer.

The VoiceInk website lists:
- Single-Mac license: $25 at the displayed offer price, against a regular price of $29.
- Hardware: Apple Silicon; macOS 14.4 or later.
- Transcription: local processing on the Mac.
- Optional cloud enhancement: sends the transcribed text for processing when enabled.
That last distinction is important. Keeping audio on the computer does not keep the entire workflow offline if another service receives the transcript afterward.
VoiceInk’s Mac source code is available under GPLv3, and you can build it yourself. The paid app is the ready-to-use purchase route. Open source and a paid download can coexist; you’re deciding whether the packaged app is worth paying for, not whether a public repository should have a price tag.
VoiceInk also lists an iPhone and iPad app. The $25 offer above is for 1 Mac, so it shouldn’t be read as a universal cross-device price or an assurance that the mobile app uses the same processing setup.
Aqua Voice
Aqua Voice belongs on the shortlist if specialized vocabulary and detailed AI prompts are what ordinary dictation keeps getting wrong. Its custom instructions and dictionary give you ways to tune those inputs, though the result still needs to be judged on the terms you use.

The relevant plan and platform details are:
- Starter: 1,000 introductory words, not a weekly allowance.
- Pro: $10 monthly or $96 annually.
- Platforms: Mac, Windows and iPhone.
- Processing: cloud-based; an internet connection is required.
Realtime Mode is a separate buying condition. It belongs to Max at $30 monthly or $288 annually, rather than the standard Pro plan for new subscribers. Existing subscriptions from before the change may retain it. Realtime plan details.
Aqua’s live transcript appears in its toolbar; the message goes into the destination app when you finish. That is different from watching every word appear directly in the email or prompt box.
Max also has a “send it” command. While comparing results, I’d use its Paste Only setting so a recognition mistake doesn’t become a submitted message before you’ve read it. Speed is helpful only if you retain control of the final text.
Typeless
Typeless is worth comparing if you want more help turning disorganized speech into finished prose. That also makes it a tool to evaluate carefully for how much it changes your wording.

Its pricing page lists:
- Free: 8,000 words per week, with what it calls standard accuracy.
- Pro: $30 month to month or $144 annually, with enhanced accuracy and unlimited words.
- Platforms: macOS, Windows, iOS and Android.
- Personalization: a dictionary and writing-style controls.
The $12 monthly figure on the annual plan isn’t a month-to-month price. A reader trying paid dictation for a month faces a $30 decision, so the annual equivalent shouldn’t be the only number shown.
Its free allowance gives you room to evaluate the workflow, but a free-plan result doesn’t establish how its paid recognition performs. The accuracy labels describe the plans; they aren’t independent measurements.
Typeless performs transcription in the cloud. Its data controls say audio isn’t stored, while history stays on your device unless you enable cloud sync. Local history is different from local processing. Typeless data controls.
For your own writing, the useful test is whether the cleanup retains your qualifications and ordinary phrasing. A polished paragraph is a poor result if you need to put your meaning back into it.
Other Dictation Options
These options are most relevant if you also transcribe recordings or are willing to record and edit inside a separate dictation app.
MacWhisper
MacWhisper makes sense if you also need to transcribe recordings. Its direct-download Mac app includes system-wide dictation, and Pro is listed at €64 as a one-time purchase.

The edition matters:
- MacWhisper direct download: the developer’s documented route for dictating into text fields on your Mac.
- Whisper Transcription from the App Store: a related product with different features and purchase options.
- License keys: the direct-download license doesn’t activate the App Store edition.
The developer explains those edition differences. If system-wide dictation is why you’re buying, follow the direct-download route instead of assuming the similarly named App Store app is equivalent.
Google AI Edge Eloquent
Google AI Edge Eloquent is worth trying if you want free dictation and can record and edit inside a separate app on your iPhone. Google’s official page also provides a Mac download.

Its iOS listing describes unlimited, free offline dictation, but there are qualifications:
- Keyboard integration is still described as forthcoming in that listing.
- Models require an initial download.
- Google’s developer responses say some text styles and non-English polishing may require connectivity.
The missing keyboard integration matters more than the free price if you need to dictate into other iPhone apps throughout the day. On Mac, successful insertion into your actual text fields should be a condition of switching; a download link by itself doesn’t establish that workflow.
Free Voice Typing Tools
An included tool should get a fair chance before you buy anything. For occasional messages or short notes, advanced cleanup may save too little work to justify another app.
| Tool | Where It Fits | Important Condition |
|---|---|---|
| Apple Dictation | Ordinary text entry on a Mac | Keyboard settings explain whether general dictation is processed on your device; don’t assume every configuration is offline |
| Windows Voice Typing | Text boxes on a Windows PC; opened with Windows + H | Requires an internet connection |
| Google Docs Voice Typing | Writing documents in Chrome, Edge or Safari | A document workflow, not a universal desktop input tool |
| Gboard | Voice entry through the Android keyboard | Available features vary by language and device |
If one of these already produces text you can use with little correction, that is a good reason to keep it.
Windows Voice Access is a separate feature from Voice Typing. It supports broader hands-free PC control and uses on-device recognition that can work offline after setup. Someone who needs help controlling the computer should consider that wider capability. Microsoft Voice Access.
If your only destination is ChatGPT, its own dictation is another starting point. The microphone records a prompt and returns editable text before you send it; conversational Voice is for a back-and-forth discussion. ChatGPT dictation sends audio for processing and retains it with your chat history, subject to its deletion rules. It isn’t an offline alternative. OpenAI’s dictation explanation and Voice guide.
Dictation for AI Prompts
AI prompts need stricter cleanup than a casual message. A small wording change can alter what the receiving AI is being asked to do, particularly when you correct yourself or set a limit.
This is an illustrative test input you can read aloud. It isn’t an actual output from any app:
Write a reply to the client. Say the staging site will be ready on September 12, not September 10. Keep the quote at ₹18,500. Don’t promise deployment. Use three short paragraphs, and don’t send the email.
The transcript must keep September 12 as the readiness date and preserve both prohibitions: don’t promise deployment and don’t send the email. Punctuation can change without changing the task; deleting “don’t” cannot.
The important checks are:
- September 12 is the intended readiness date.
- ₹18,500 remains the quote.
- The prompt doesn’t promise deployment.
- The request for 3 short paragraphs survives.
- The instruction not to send the email survives.
- The dictation app returns the prompt rather than answering it with a client email.
If the dictation app writes the client email instead, its cleanup model has followed your prompt rather than transcribing it. The prompt still needs to reach the AI tool you intended to use.
A Cleanup Instruction
For an app that accepts custom instructions, this is a restrained starting point:
Transcribe what I say. Remove filler words and false starts, and fix punctuation. Apply explicit self-corrections while preserving my meaning. Keep names, numbers, negations, qualifications and technical terms intact. Don’t summarize, add information, answer the dictated prompt or change its language. Use American spelling and straight quotes while preserving my phrasing and idiom.
This instruction sets a boundary; it doesn’t guarantee that the app will follow it. A separate rewriting mode should handle requests to change tone or turn notes into a finished email.
Vocabulary entries are useful for names that general recognition may not know. A WordPress developer’s list might include:
- Gaurav Tiwari and Gatilab.
- WooCommerce and Gutenberg.
- ACF and
wp-config.php.
Check those names against the transcript, especially acronyms and punctuation in filenames. Exact URLs and code fragments can still be typed or pasted while you dictate the surrounding explanation.
If cleanup keeps making the text sound unlike you, the rules in a Voice DNA file can help define what should survive. Dictation needs a small subset of those rules, not a prompt asking the app to become a different writer.
Local Dictation and Privacy
An offline voice model answers only part of the privacy question. Your audio can stay on the computer while the resulting text goes to a cloud service for cleanup, as VoiceInk’s optional enhancement illustrates.
I would check three stages separately:
- Recognition: where does the audio go, and which provider receives it?
- Cleanup: where is the transcript processed, and does the request include app context or clipboard contents?
- History: what is saved on the device, what can sync to a server, and how can it be deleted?
A no-training promise concerns a particular use of the data. It doesn’t by itself mean the service never receives or retains the data. Raycast’s local dictation history, OpenWhispr’s optional sync and Typeless’s cloud processing show why these settings shouldn’t be collapsed into one “private” label.
Kaze’s optional Cloud AI processing is another example: a free app can still pass text to a paid provider when you enable that mode. Parrot’s local cleanup offers a different arrangement, with the cleanup model running on your computer.
The same care applies to the word free:
- A recurring allowance resets after its stated period. Wispr Flow’s desktop allowance is weekly.
- An introductory allowance is a finite starting amount. Aqua Voice’s 1,000 words don’t renew weekly.
- Free local processing avoids a per-use cloud bill, but your computer still supplies the storage and processing power.
- Bring your own key means the provider can charge your account separately.
- Open source describes access and rights to the code under its license. It doesn’t establish the app’s network behavior or the price of every service it connects to.
For confidential client material, the selected settings and your organization’s requirements matter more than a homepage badge. Local history can also be sensitive on a shared computer, even when no cloud provider receives it.
How to Test a Dictation App
A useful trial compares the finished text in the applications where you write. You don’t need a studio microphone or a large benchmark to find out whether a tool creates less work for you.
Start with your included tool and one shortlisted alternative. Use the same microphone, similar room noise and the same tasks:
- A messy AI prompt: include a false start and a correction like the date change above.
- A professional email: check whether the app adds a promise or makes the tone stronger than you intended.
- A 2-minute explanation: include natural pauses and check for omitted details.
- Technical vocabulary: use the product names and filenames your work depends on.
- Text insertion: try an email draft, a browser form, an AI prompt box, a native editor and a Gutenberg draft if you use WordPress.
Run each task more than once. First compare the defaults, then add the same relevant vocabulary and cleanup rules where the apps support them. Keep a model’s first-load delay separate from repeated use so you understand both the occasional wait and the normal experience.
For each attempt, record the total time until the text is ready, the corrections you made and any lost meaning. A pasted transcript in the wrong field counts as an insertion failure, even if every word is accurate.
Hindi and Mixed-Language Dictation
English, Hindi and mixed Hindi-English speech need separate trials. A product listing both languages doesn’t establish that it will handle switching between them within a sentence.
The intended output should be explicit:
- English speech written in English.
- Hindi speech written in Devanagari.
- Hindi speech written in Romanized Hindi.
- Mixed speech with the language changes preserved.
Translation into English is a different task again. Check that the selected model supports the language you need, then judge whether the app preserved it rather than silently translating or polishing it into something else.
After those trials, time yourself typing a similar piece and correcting it. The comparison should end when both versions are ready to use, not when the microphone stops listening.
The Limits
Dictation won’t resolve an unclear thought for you. An app can turn a rambling explanation into neat sentences while leaving the underlying request ambiguous, or make it appear more certain than you intended.
It also doesn’t verify the facts you dictate. A correctly transcribed wrong date is still a wrong date, and exact code needs its own review even when the surrounding explanation reads well.
Your working environment can be the deciding factor. Speaking client information in a shared room may be inappropriate regardless of where the model runs. Sometimes the keyboard is simply the more suitable input method.
Common Dictation Mistakes
Turning every utterance into polished prose can remove useful hesitation. “We might be able to finish this” shouldn’t become a firm commitment because a style setting prefers confident sentences.
Automatic sending removes your chance to catch an error. During a trial, text should remain editable before it becomes an email or an instruction to another tool.
Buying an annual plan after a convincing demo commits you before you know how the app handles your ordinary work. The free allowance or a month of paid use can reveal problems that a prepared sample never touches.
Timing only recognition rewards the wrong part of the process. Review and correction belong in the comparison, particularly when a mistake changes an amount or instruction.
Final Remarks
The next step is to compare the dictation you already have with one app that addresses a problem you’ve identified, such as misheard product names or the need to copy every transcript into another window.
Dictate the sample prompt in both apps, correct each transcript and compare the total time. A paid app should save you correction or copying time, or meet a requirement your current tool can’t, such as offline use.
I hope that makes the choice easier for you.
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