Tech
The best AI dictation apps, tested and ranked
AI dictation apps have come a long way in a short time. For years they were slow and inaccurate — unless you spoke with a particular accent and enunciated clearly.
Advances in large language models (LLMs) and speech-to-text models have changed that, producing systems that can decipher speech more accurately while retaining enough context to format the text correctly. Developers have also built in features to automatically remove filler words, fix stumbles, and handle punctuation — outputting text that needs far fewer edits.
With dozens of such apps now on the market, we’ve rounded up our picks for the best and most useful dictation apps available right now.
Wispr Flow
Wispr Flow is a well-funded AI dictation app that lets you add custom words and instructions for dictation. It has native apps for macOS, Windows, and iOS; an Android version is in the works.
The app lets you customize how it transcribes your text by choosing from “formal,” “casual,” and “very casual” styles for different kinds of writing, such as personal messaging, work, and email. And if you use it with vibe-coding tools like Cursor, you can turn on a feature to automatically recognize variables or tag files in the chat.
The app lets you transcribe up to 2,000 words per week for free on desktop, and 1,000 words per month on iOS. Paid subscription plans offer unlimited transcription and start at $15 per month.
Willow
Willow advertises itself as a big time-saver for those who don’t like to type. Alongside common features like automatic editing and formatting, the app uses large language models to generate a full passage of text from just a few dictated words.
Willow also takes a more privacy-focused approach by storing all transcripts locally on your device and lets you opt out of model training entirely. It also lets you add custom vocabulary to help it adapt to your industry’s terminology, or your local dialect.
Willow lets you dictate 2,000 words per month on its desktop app for free. Individual subscription plans start at $15 per month, unlocking unlimited dictation and enabling the app to remember your writing style.
Monologue
If privacy if your priority, Monologue lets you download its AI model directly to your device for transcriptions, keeping your data off the cloud entirely. What’s more, the app lets you customize its tone depending on the app you use it with.
Monologue lets you transcribe 1,000 words per month for free; a subscription costs $10 per month or $100 per year. The company also sends its most active users a physical shortcut device called the Monokey to use with the app.
Superwhisper
Superwhisper is primarily a dictation app, but it can also transcribe from audio or video files. The app lets you choose and download AI models, including several of its own at different speeds and accuracy levels, along with Nvidia’s Parakeet speech-recognition models.
The app also lets you write custom prompts to steer the output, and you can view both processed and unprocessed transcripts directly from your system keyboard.
The basic voice-to-text feature is free to use, and you get 15 minutes to test Pro features such as translation and transcription. The paid tier lets you use your own AI API keys and connect cloud and local models without any usage caps.
The monthly plan costs $8.49 per month, the annual plan costs $84.99 per month, or you can pay $249.99 for a lifetime subscription.
VoiceTypr
The VoiceTypr app takes an offline-first, no-subscription approach, letting you use local models for transcription. It also has a GitHub repository for those who want to host and run the open source version themselves. VoiceTypr supports over 99 languages and works on both Mac and Windows.
The app is available to try for three days for free, and after that, it will allow you to buy a lifetime license. The app costs $35 for one device, $56 for two, and $98 for four devices.
Aqua
Aqua is a Y Combinator-backed voice-typing app for Windows and macOS that claims to be one of the fastest tools in the category in terms of latency (the delay between when you speak and when text appears on screen).
Besides handling grammar and punctuation, Aqua also lets you autofill text by saying phrases — you can say “my address” and have Aqua type it in, for example.
The app also offers its own speech-to-text API, letting other apps plug into Aqua’s transcription engine.
The free tier gets you 1,000 words per month. Paid plans start at $8 per month bill annually and unlock unlimited words and 800 custom dictionary values.
Handy
Handy is an open-source, free transcription tool that runs on Mac, Windows, and Linux. The app is pretty basic and doesn’t offer much customization, but if you want to start using your voice more and don’t want to pay, it is a good option.
The app has a basic settings menu that lets you toggle push-to-talk and change the hotkey to activate transcription.
Typeless
Typeless stands out for its high free word count. The company claims it doesn’t retain any data or use it to train AI models. Typeless also offers to rewrite sentences you may have fumbled.
The app lets you dictate up to 4,000 words per week (roughly 16,000 words per month) on its free tier. You can pay $12 per month (billed annually) to unlock unlimited words and get access to new features. Typeless is available for Windows and macOS only.
VoiceInk
VoiceInk is an open-source private dictation app for Mac. The app supports global shortcuts for recording start/stop, along with a push-to-talk mode. It reads the context on screen and adjusts its output accordingly.
The app can automatically detect certain apps and URLs and apply custom formatting or rules to each. It also has an assistant mode that can answer your questions. The app costs $25 for lifetime access for one device, $39 for two devices, and $49 for three devices.
Dictato
Dictato is a dictionary app for Mac priced at €9.99 — roughly $12 — that gives you lifetime access and two years of feature updates. The app works with offline models like Parakeet, Whisper, and Apple Speech Analyzer, and uses Apple Intelligence for light reading and filler word removal. Thanks to these local models, the app claims a super fast 80ms latency, meaning text appears almost instantly after you speak.
AudioPen
AudioPen began as a web-based voice notes app, but it has evolved over the years. Its Mac version now lets you dictate text and rewrite it in your preferred format and style, switching between different styles at any time. Besides live transcription, AudioPen allows you to store audio notes across platforms, combine notes for summaries, upload audio files, and rewrite existing notes using AI. The app costs $33 for three months, $99 for a year, and $159 for two years.
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World Labs, one of the leading developers of deep learning models intended to understand physical reality, has been acquired in a $8.2 billion deal, the two companies said today.
World Labs justified the deal in a statement saying that AI development required “close collaboration across model reseach, systems and compute.” AMD, in turn, says that understanding frontier workloads like those created at World Labs will shape its chip-making roadmap.
The acquisition will see World Labs founder Fei-Fei Li join AMD as executive vice president and chief scientist. The two companies formed an inference optimization and training partnership last year, and ties have remained close. Notably, Li was a guest at AMD’s CES presentation earlier this year.
Li, a Stanford computer science professor, is considered a pioneer of AI, particularly computer vision, for her role pioneering the ImageNet database and subsequent challenges. In 2024, Li founded World Labs to develop deep learning models with a more robust understanding of reality, arguing that true general intelligence required a grounding in physics and the ability to understand and reason about data beyond text.
In a post announcing the deal, Li described the partnership as the result of a desire to scale World Labs’ technical breakthroughs beyond the lab. “Now that we have tangible proof of the possibilities, we want to do everything we can to accelerate the future,” Li wrote in the post. “To do this requires scaling our efforts, widening our reach, and getting closer to the hardware.”
“World model” remains a loose term, encompassing everything from language models trained to understand visual inputs, to models capable of generating and sustaining a high-fidelity simulation of reality. World Labs’ first product, Marble, is pitched for creating entertainment experiences, but also for the ability to create simulated environments for robot training.
The acquisition is likely to help AMD compete with long-standing rival Nvidia in creating an ecosystem for AI-specific chips. While Nvidia already has a suite of open-weight world models like Cosmos, AMD has only offered text- and video-based models to the public.
World models are seen as vital in efforts to deploy generative AI models on robotic platforms, from autonomous vehicles to industrial robots and general-purpose humanoids. In particular, the dearth of useful data to train general purpose robots means that synthetic data from world models will be key to realizing the vision put forward by companies like Tesla and Figure.
The acqusition is expected to close before the end of the year, subject to regulatory approval.
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Nvidia adds a Sentry hardware monitoring design to its AI agent safety platform. See what OpenShell offers now and what IT teams still need to verify.
The post Nvidia Adds Hardware Monitoring Design to AI Agent Safety Platform appeared first on TechRepublic.
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While some retailers, like Amazon (and Adidas, apparently!), are blocking AI agents from making purchases on users’ behalf on their respective platforms, e-commerce platform Shopify has moved in the other direction.
On Monday, the company announced that browser-based AI agents can now complete purchases on Shopify merchants’ sites, extending their capabilities beyond just searching for products and adding items to carts.
Shopify previously supported WebMCP for its storefronts and carts, allowing browser-based AI agents to comb through a Shopify retailer’s inventory, search for products, and add them to a cart. The addition of WebMCP support for checkout, including Shop Pay, means these agents can now read the checkout screen, update it, and submit the transaction with the buyer’s authorization, without relying on screenshots or scraping webpages, the company said.
This update introduces three new tools — get_checkout, update_checkout, and complete_checkout — that allow agents to inspect a checkout, change things like the customer’s address or delivery option, and then place an order after the buyer authorizes it.
The feature is rolling out to all eligible Shopify merchants, said Gil Greenberg, a staff product manager who works on agentic commerce at Shopify, in a post on X.
Shopify already offers a hosted Model Context Protocol (MCP) server, which allows agents to work server-to-server. The proposed standard WebMCP, meanwhile, is designed for agents that work inside the buyer’s browser. Both leverage Shopify’s Universal Commerce Protocol (UCP), which provides a common way to search for and discover products, build carts, and check out.
Top AI agents like Muse and Instinct already have direct partnerships with Shopify for agentic commerce. The Instinct partnership was announced today.
“If your agent is operating in the buyer’s browser, use WebMCP tools provided on storefront and checkout to efficiently complete order placement, instead of navigating HTML built for humans,” Greenberg wrote on X. “These WebMCP tools provide structured and efficient APIs, purposely designed — via UCP — to ensure accurate commerce facts, required disclosures, and handoff requirements.”
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