The best AI dictation apps, tested and ranked

10:23 PM IST · May 2, 2026

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 Flowis 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. Willowadvertises 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. If privacy if your priority,Monologuelets 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. Keyboards are so 1983.You only need one key—Monokey, the limited edition device that turns your voice into text in Monologue.We're giving away 10, along with a free annual subscription to Monologue.pic.twitter.com/nXuz1ll2LU Superwhisperis 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. TheVoiceTyprapp takes an offline-first, no-subscription approach, letting you use local models for transcription. It also has aGitHub repositoryfor 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. Aquais 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. Handyis 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. Typelessstands 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. VoiceInkis anopen-sourceprivate 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. Dictatois 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. AudioPenbegan asa 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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Google’s Dreambeans, its weirdest-named AI tool to date, will turn your life into a cartoon

Google Labs, the tech giant’s team devoted to experimental product design, has launched a new AI-fueled app for iOS and Android that will quite literally animate your life. Behold,Dreambeans. Why is it called that? We’ll get to that later. First, what is it? Gozde Oznur, the product lead behind the new app, told TechCrunch that the idea is to use data culled from across your various Google services to generate a curated list of AI-illustrated “stories.” These stories come in a variety of different shapes and forms, although — in general — they seem to be lifestyle suggestions. Oznur describes them as “places to visit, topics to explore, things to try, upcoming trips, events that you should be aware of.” Dreambeans generates these ideas based on a user’s Google data. “With your permission, Dreambeans uses Personal Intelligence to connect information from Google apps like Gmail, Calendar, Photos, YouTube and Search History, to curate a finite collection of daily stories designed to spark new ideas,” the company says. So for instance, some stories may be geographical recommendations — like suggesting a new coffee shop near where the user lives that they might be interested in. Or, as is the case in thismarketing video, if you’re getting a new dog and that event has been marked in your Google Calendar, Dreambeans might deliver some insights about what it’s like to live with a new puppy. Still other stories may simply be news articles curated from the web, based on a user’s past interests. Oznur said the app has also been built as a doomscrolling antidote, in that it only provides users with a limited number of stories per day — typically 10 to 14. The idea is to get a few inspirational ideas and then go out and live your life, she said. A lot of companies are currently trying to court the user that is sick of phone addiction. I recentlyreviewed a startup, Bond,which also uses AI to auto-generate lifestyle suggestions for the user. What about privacy protections? According to Oznur, they are pretty solid. The only person with access to the app’s stories is the user, she said. Users can also delete their data whenever they want, and can choose which Google services they want to connect to the tool. Finally, where did the name “Dreambeans” come from? The idea for the name was generated, in part, by the way the system works while you are asleep, she said. “The dream part is literal, because while you sleep, the app is working through everything across your connected apps, because, as you can imagine, it’s a lot of data that it is distilling,” Oznur said. “The beans part is about how you kind of start your day with a freshly brewed cup of coffee. It has processed everything overnight and hands you a concentrated drop of inspiration in the morning.” Dreambeans is currently only available for eligible U.S.-based Google AI Ultra subscribers on Android and iOS. However, there is also awaitlistthat is available to users with a personal Google account.

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Alphabet’s record-breaking $85B raise for Google’s AI business is a helluva good signal

If Alphabet’s record-breaking $85 billion stock sale signals investor appetite for AI-related offerings — and it does — we can safely say that investors are voracious. Google’s parent company had initially intended to sell a first tranche of $40 billion worth of various equity instruments — two different classes of shares, plus smaller “depositary shares” priced to be accessible to a broader range of investors. But the offering was so oversubscribed that it raised $45 billion instead, CEO Sundar Pichai said in apost on Xon Monday. Among the buyers: Berkshire Hathaway, still known for its love of value investing, picked up $10 billion worth. Alphabet plans to sell another $40 billion worth next quarter, for $85 billion total. Even $80 billion would have topped the record for equity offerings previously set by Brazilian oil producer Petroleo Brasileiro SA, which raised $70 billion in 2010,Bloomberg reports. Now, it’s true that these investors are buying shares of Alphabet, not shares in a younger, possibly debt-riddled AI startup. Alphabet is a very healthy business: $110 billion in revenue (with high profit margins) in Q1 alone, up 22% year-over-year. Still, the money from this stock sale is earmarked for AI. “Part of our multi-year investment strategy to meet the AI opportunity ahead and support the demand we’re seeing from enterprises and consumers,” as Pichai described it. At Google I/O last month, hesaidthe company expects to spend between $180 billion and $190 billion on capital expenditures — largely on AI infrastructure and data centers — before the year is out. The timing matters beyond Alphabet itself. As Anthropicgets ready to go public, this enormously successful stock sale is a very good sign for the broader AI IPO pipeline. It indicates that public investors, particularly the deep-pocketed institutional ones, are ready to pony up. The upcoming SpaceX IPO is expected to smash records for cash raised and valuation, and Anthropic’s deal is expected to do the same, possibly surpassing SpaceX. OpenAI is also waiting in the wings. But all of this rests on public investors’ appetite — not just private VCs — remaining strong, and then staying that way. An unprecedentednearly $8 trillion in AI spendinghas been committed over the next five years. That money has to come from somewhere — and that somewhere includes individual company revenues, loans, and capital raised through stock sales. Whether public markets have the stomach to absorb that much, for that long, is the question that every AI company eyeing an IPO should be thinking about right now.

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The U.K. has just imposed legal guardrails on Google’s AI search onslaught. On Wednesday, Googleannouncedcompliance with the U.K.’s regulatory requirements, which state that the tech giant must offer publishers a way to opt out of being aggregated into AI search. To opt out, publishers will be able to use a new toggle in Google’sSearch Console, a free service that allows website owners to manage their web presence in Google’s search results. Once opted out, the publisher’s site will not be shown in Google’s generative AI Search features, like AI Overviews, AI Mode, or AI Overviews in Discover. (Google, of course, makes a point to note in the same announcement that its AI Overviews now have over 2.5 billion monthly active users, and its AI Mode has surpassed one billion monthly users.) The tech giant says it will initially test the opt-out option with a subset of U.K. publishers before rolling it out globally. The U.K.’s Competition and Markets Authority (CMA)calls the moveto put publishers back in control of how their content is used a “world first,” and points out that it will put publishers, including news organizations, into a stronger position to negotiate content deals with Google for use of their content in AI features. The CMA had first designated Google as having “strategic market status” last October, laying the groundwork for future regulations. InJanuary, it pushed Google to give website publishers a choice as to whether their content is aggregated into AI search features or used to train stand-alone AI models. Alongside the opt-out toggle, Google will also now be required to make sure publisher content in AI features is properly attributed, using clear links. Google suggested that it’s complying with this as well, noting that it had recentlyincreasedthe number of inline links directly within its AI responses, and added website previews to encourage users to click through. Google notes that a website’s decision to opt out of generative AI search features will not be used as a ranking signal for traditional Google search. The company, however, will present new metrics in its Search Console to hopefully sway publishers who could be considering opting out, including impression metrics and other information about which of their pages appear in AI responses, and in which countries. More metrics will be added over time, Google said.

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These two founders left Goldman and Meta to build voice AI for markets everyone else overlooked

Customer support and service are among the hottest sectors in voice AI right now. But building a product that sounds human and responds without noticeable delay turns out to be much harder in some markets than others — and most of the major players weren’t built with Africa and the Middle East in mind. AethexAI, a startup founded last year to close that gap, has raised $3 million in pre-seed funding led by 4DX Ventures, with participation from Enza Capital, Dorm Room Fund, Mojo Ventures, and Stanford GSB 26 Fund. Individual investors include Stanford faculty, telecom executives, and AI researchers from Anthropic. Rather than using existing orchestration tools likeVapiandLiveKit, the company built its own small model and orchestration layer from scratch to handle the localized dialects of English, French, and Arabic spoken across its target markets — a decision driven, as we’ll get to, by the particular demands of operating in the region. The company is also launching its platform for enterprises to try out its tech and sign up for its services, along with APIs and SDKs for developers to experiment with its models. The startup was founded by Mariama Diallo and Ayooluwa Odemuyiwa. CEO Diallo worked at Goldman Sachs and later joined YC-backed ModelML as a product and growth hire. CTO Odemuyiwa graduated from Caltech, worked at Meta, and enrolled at Stanford Business School before co-founding the company. The pair wanted to build something for emerging markets and started looking for opportunities. Businesses around the world are racing to adopt AI tools to automate parts of their operations. But that doesn’t always work out. In Egypt, a call center automated a significant share of its calls, but rolled the system back because of poor results, the founders found. Several support centers in Africa told them that finding and hiring engineers to automate calls at the right cost was a persistent headache. “The latency and jitter that we saw on automated calls in this region were outrageous. If we had become orchestrators, we might have had to use large models that were hosted outside the region, resulting in higher latency. We realized that in order for this to work, we have to use very small models and cut latency at every step,” Odemuyiwa told TechCrunch about the decision to build the company’s own models and orchestration layer. AI labs that deploy their latest models usually spend millions training them and acquiring data. AethexAI found a solution for both. Rather than chasing the largest possible models, it decided that small models are enough to tackle the latency problem while maintaining accuracy and developed its own Kora series, with parameters ranging from 300 million to 1.7 billion. That’s a fraction of the size of the LLMs, which is precisely the point. To train these models, the startup used anonymized recordings from a call center partner. It also shipped hard drives to radio stations across Africa to collect more audio data. To keep costs down, it built a contributor network of university students to annotate data and pronounce local names. As a result, the startup says, it’s now handling more than 17,000 calls per day. On the business side, the company is taking care to walk clients who are new to voice AI through the process, offering onsite demos and workshops to help them identify the best use cases for automation. “We always tell customers that we cannot be everything for everybody right now. We’re small. When we start talking to a company, we ask them to pick one use case that is the most important to them to start [with],” Diallo said. The startup is open to working across all industries, but at the moment, a big part of its use cases involves calls for debt collection, customer activation, or KYC — Know Your Customer verification, the standard identity-checking process used by banks and telecoms. The company is hiring forward-deployed engineers on a contract basis to serve local markets and building channel partnerships with telecoms providers to handle telephony for voice AI calls. Plug-and-play solutions, it says, simply won’t work here. Walter Baddoo, co-founder and managing partner of 4DX Ventures, argues that the Africa and Middle East market is fundamentally different from the markets most voice AI companies were built to serve. “Enterprises in Africa and the Middle East process roughly three times the call volume of their Western counterparts, as voice is still the dominant channel for customer interaction,” he said. “Incumbent systems were built for Western markets characterized by high-end GPU infrastructure, standard English and European speech environments, and enterprise workflows common in the U.S. and Europe. That creates real gaps when enterprises need systems that handle dialects, code-switching, and informal speech patterns, and that work within their existing telephony infrastructure and their actual price points.” Put another way, while companies like ElevenLabs, Deepgram, Sierra, and Cognigy are expanding globally at a fast pace, the markets they were built for and the markets they are entering aren’t always the same thing. Startups like AethexAI are betting that the gaps — models specialized in local dialects, on-the-ground partnerships, infrastructure built for the region — represent a market opening that the giants have neither the incentive nor the architecture to close.

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The best AI dictation apps, tested and ranked

Latest AI News

Google’s Dreambeans, its weirdest-named AI tool to date, will turn your life into a cartoon

Alphabet’s record-breaking $85B raise for Google’s AI business is a helluva good signal

Publishers will be able to opt out of AI Search, thanks to new regulation

These two founders left Goldman and Meta to build voice AI for markets everyone else overlooked

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