Input
Zero-typing voice dictation with local transcription and AI polish on macOS
If you live on macOS and want hands-free dictation without surrendering your audio, Input0 is hard to beat. The need to bring your own LLM API key adds friction, but the local transcription speed and privacy payoff are real. We'd pick it over cloud dictation for any sensitive or high-volume writing.
Verified 5d ago · liveness 59/100 · cite: rightaichoice.com/tools/input
- Developers dictating code or documentation hands-free
- Writers and content creators seeking faster input
- Power users reducing typing and RSI risk
- Multilingual speakers needing accurate transcription across languages
- Windows or Linux users (macOS only)
- Users who want a fully cloud-based service with no setup
- Those needing real-time collaboration or sharing features
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Skip Input0 if you're on Windows or Linux, if you want a cloud-based dictation service that requires no setup, or if you're not willing to manage your own LLM API key for text polishing.
You must supply your own LLM API key for text polishing, which means you'll incur token costs from your provider (e.g., OpenAI, Anthropic) based on your usage.
Input0 is free to download and use, with no subscription or paywall. The only cost is your own LLM API usage for the polishing step, which is typically a few cents per month for light daily use. Compared to cloud dictation services like Otter.ai or Rev, which charge $10-20/month and send your audio to the cloud, Input0 is cheaper and more private. For heavy dictators, the API cost might approach a paid tier, but for most individuals, it's minimal.
In short
Input — Zero-typing voice dictation with local transcription and AI polish on macOS. Best for Developers dictating code or documentation hands-free, Writers and content creators seeking faster input, Power users reducing typing and RSI risk. Free to use.
What people actually say about Input — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
63 mentions across 4 sources (Hacker News, Product Hunt, Stack Overflow, Lemmy) · researched Jul 3, 2026.
- +Completely free with no accounts or tracking required.
- +Privacy-first: voice processing stays on-device via Metal GPU.
- +Supports 99+ languages across 12 models and 6 engines.
- +Auto-learns from your corrections using LLM validation.
- +Context-aware with 10-message history for better dictation.
- −No community support or user troubleshooting available.
- −Requires your own LLM API key, which incurs variable cost.
- −Only works on macOS with Apple Silicon; Intel Macs unsupported.
- −Zero real-world reviews to validate accuracy or reliability.
- −Name confusion with Input font makes research difficult.
- • LLM API usage costs vary by provider and usage volume.
- • Requires Apple Silicon Mac; no Intel or Windows support.
- • No free hosted LLM tier—you must bring your own key.
Viability Score
How well maintained and how widely used is Input? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- Global hotkey (Option+Space) dictation
- Local speech-to-text via Metal GPU on Apple Silicon
- LLM-based text polishing (filler removal, grammar fix)
- Auto-paste into active app (Slack, VS Code, browser)
- 99+ languages across 6 engines and 12 models
- Smart model selection per language
- Custom vocabulary for names, brands, jargon
- Auto-learns from corrections via LLM validation
- Context-aware with 10-message history
- Privacy-first: voice never leaves device
- No account, cloud, or tracking
- Glass overlay UI that respects focus
- Correction of 40+ technical terms by pronunciation
- Built with Rust + Metal for performance
About Input
Input0 replaces typing with your voice, letting you press and hold Option+Space anywhere in macOS, speak, and release to have your words transcribed and polished before being auto-pasted into any app. Built in Rust with Metal GPU acceleration, it transcribes entirely on-device — guaranteeing your audio never leaves your Mac — then sends only the text to your own LLM API for refinement. The polishing step strips filler words, fixes grammar, and corrects 40+ technical terms by pronunciation, so "rui en te" becomes "React" without extra editing. It even maintains a 10-message context window to keep your phrasing consistent across the conversation. All of this happens with a subtle glass overlay that respects your focus, meaning no window switching or friction in your flow. Language support is a highlight: 6 AI engines with 12 models cover 99+ languages, from Whisper for broad multilingual use to specialized engines like SenseVoice for CJK, Paraformer for Chinese/Cantonese, Moonshine for faster English, and FireRedASR with a low ~2% CER. The tool automatically recommends the best model for your language, and you can download only the models you need. A custom vocabulary feature handles names, brands, and jargon, while the AI learns from your corrections through LLM validation. Input0 is a privacy-first alternative to cloud dictation services. No accounts, no clouds, no tracking — your voice data stays local, and you control the text-processing pipeline via your own LLM API key. That setup overhead is the main trade-off: this is a tool for developers, writers, and privacy-minded power users who want speed and sovereignty, not a zero-config consumer app. If you're comfortable managing an API key, it's one of the fastest ways to get thoughts into text on macOS.
Behind the Verdict
Input0 nails the core promise: zero-typing voice input with local-first privacy. On an Apple Silicon Mac, holding Option+Space and speaking feels nearly telepathic, with on-device transcription via Metal GPU ensuring your voice data stays put. The polish step—which leverages your own LLM API—removes filler, fixes grammar, and even corrects 40+ technical terms by pronunciation. That's a genuinely useful layer for developers who dictate code and need "rui en te" to become "React" without a second thought. The 10-message context window is a thoughtful touch: it keeps your phrasing consistent across a conversation, so your writing doesn't oscillate between formal and casual. And the custom vocabulary plus auto-learning via LLM validation means the tool adapts to your jargon over time—a feature set that typically only appears in enterprise tools. But Input0 is not for everyone. It's macOS-only, and it requires you to supply your own LLM API key for the polishing step. That's a dealbreaker for casual users who just want to dictate a quick text message, and it means you're paying per token if you exceed free tiers from providers. There's no team collaboration, no sharing, no real-time editing—it's a personal productivity tool, not a team platform. Where it shines: developers, writers, and power users who value privacy and speed. If you're on macOS and tired of cloud dictation that hoovers up your audio, Input0 is a compelling, honest alternative. If you need cross-platform support or a zero-config app, look elsewhere.
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Real-world workflow fit
Concrete scenarios for the personas Input actually fits — and what changes day-one when you adopt it.
Coding in VS Code, wants to dictate comments and documentation hands-free.
Outcome: Hold Option+Space, speak a sentence describing a function, release, and the polished text appears in the editor, automatically formatted with correct technical terms.
Drafting a blog post in a text editor, wants to capture ideas without breaking flow.
Outcome: Dictate several paragraphs, Input0 transcribes locally and polishes grammar and filler words, then pastes the clean text directly into your document, maintaining context across messages.
Handling sensitive client information and cannot risk voice data leaving the machine.
Outcome: Input0's local transcription ensures audio never leaves the Mac; only the final text is sent to your own LLM API for polish, giving you control over the pipeline and avoiding third-party cloud dictation.
Use Cases
- Dictate emails and messages without touching the keyboard
- Transcribe voice notes directly into note-taking apps
- Speak code snippets into VS Code or other editors
- Quickly fill out forms and search queries by voice
- Generate polished meeting notes from spoken summaries
Models Under the Hood
as of 2026-08-27
Limitations
- Requires macOS and uses Metal GPU for local voice transcription; text optimization connects to your own LLM API.
- The tool is only available for macOS, and voice transcription runs locally via Metal GPU, ensuring audio never leaves the device.
as of 2026-08-21
Verification history
We have re-verified Input 7 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 7 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Input tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0
Ideal for
Individual macOS users who want a zero-cost, privacy-first dictation tool and are comfortable managing their own LLM API key for text polishing.
What this tier adds
Free entry point with all features included: full local transcription, AI polish, auto-paste, 99+ languages, custom vocabulary. No paid tiers; the only cost is your own LLM API usage.
Where the pricing makes sense
The company stage and team size where Input's pricing actually pencils out — and where peers do it cheaper.
Input0 is free to download and use, with no subscription or paywall. The only cost is your own LLM API usage for the polishing step, which is typically a few cents per month for light daily use. Compared to cloud dictation services like Otter.ai or Rev, which charge $10-20/month and send your audio to the cloud, Input0 is cheaper and more private. For heavy dictators, the API cost might approach a paid tier, but for most individuals, it's minimal.
Setup time & first value
How long it actually takes to get something useful out of Input — broken out by persona, not the marketing-page minute.
For a developer comfortable with API keys: ~5 minutes to install, configure your LLM API key, and test the hotkey. For a non-technical user: ~15 minutes, as you'll need to create an API key and understand the setup. Once configured, it's ready to use immediately.
Switching to or from Input
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From cloud dictation (e.g., Otter, Rev): Install Input0, set your LLM API key, and start dictating locally. You'll lose cloud sync but gain privacy and lower latency.
Resources & Guides
Tutorials & Learning
Official links
Tools that pair well with Input
Common stack mates teams adopt alongside Input, with the specific reason each pairing earns its keep.
Featured Head-to-Head Comparisons
Input vs Gem
Gem and Input serve entirely different needs: Gem is an enterprise-grade hiring platform for teams, while Input is a free, privacy-focused dictation tool for individual macOS users. Your choice depends on whether you need to automate recruitment workflows (Gem) or speed up typing with voice (Input). They are not direct competitors.
Input vs Poke Interaction Co
Choose Input if you need fast, private voice dictation on macOS and already have an LLM API key; choose Poke if you want a chat-based AI assistant that manages email, calendar, and automations across messaging apps. They solve different problems: one is a voice input tool, the other is a personal assistant. For most tasks beyond dictation, Poke is more versatile.
Input vs Guesty
If you manage a vacation rental portfolio and need AI-driven automation across bookings, messaging, and finance, Guesty is the clear choice. If you're a macOS power user seeking to dictate text hands-free with full privacy, Input0 is perfect. They serve completely different needs—choose based on your domain.
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Frequently Asked Questions
Best-of guides
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