TechCrunch picks the best AI dictation apps: Wispr Flow and Willow lead the list

TechCrunch tested the AI dictation market and compiled a list of services that can do more than just recognize speech — they bring it to finished text. Such applications are increasingly used not only for notes and emails, but also for voice coding, quick replies, and editing drafts.

Who came out ahead

Wispr Flow took the top spot with native applications for macOS, Windows, and iOS, plus style customization for different scenarios: from work emails to informal messages. For developers, it has modes that help correctly recognize variables and file references in tools like Cursor. Nearby in the ranking is Willow, which focuses on saving time: it not only corrects and formats text, but can also expand a short voice note into a more cohesive paragraph.

• Wispr Flow — dictation styles, iOS support, and voice coding features
• Willow — local transcription storage and memory of writing style
• Monologue — running the model directly on the device without sending audio to the cloud
• Superwhisper — dictation plus transcription of audio and video files, choice of AI models
• Typeless — one of the most generous free limits among the apps in the roundup

The roundup also includes more niche products. Aqua promises very low latency and can insert preset phrases like an address via voice command, and AudioPen has grown from a voice notes service into a full-fledged tool for rewriting text in the desired format. Even basic apps like Handy made the list because the market's entry threshold has shifted: now voice input is expected to produce not raw transcripts, but text that can almost immediately be sent to email, documents, or chat.

Privacy and offline

A separate focus throughout the entire ranking is privacy. Willow stores transcriptions locally and allows you to opt out of training models on user data. Monologue offers to download the model to your device and keep the entire process offline, while VoiceTypr, VoiceInk, and Dictato build their products around local models and offline mode. For some users, this is no longer a bonus but a key criterion: if someone dictates work emails, internal notes, or code snippets, it's important to understand exactly where the voice is processed and who has access to the text.

"Keyboards stayed in 1983."

Against this backdrop, the offline approach looks like the main trend of 2026. Developers are trying to prove that modern models can work fast right on the user's computer: Dictato claims a latency of around 80 milliseconds, Superwhisper lets you choose between local and cloud models, and VoiceTypr is sold without a subscription and even puts an open-source version on GitHub. However, compromise hasn't gone anywhere: local scenarios usually depend on device power, and the best text rewriting features are often still tied to stronger cloud models.

Prices, limits, and platforms

Price-wise, the market looks quite fragmented. Wispr Flow and Willow start at $15 per month, Monologue costs $10 per month or $100 per year, Aqua starts at $8 with annual billing, and Typeless charges $12 per month for unlimited. There are also lifetime licenses: VoiceTypr starts at $35 per device, VoiceInk starts at $25, and Dictato sells for €9.

99 with two years of updates. Free limits also vary greatly: Wispr Flow offers 2,000 words per week on desktop, Willow offers 2,000 words per month, Monologue offers 1,000, and Typeless offers 4,000 words per week. By platform, macOS and Windows dominate, but the mobile direction is quickly catching up.

Wispr Flow already has an iOS app and Android is announced, AudioPen has retained cross-platform note storage logic, and Handy works on Mac, Windows, and Linux. Ultimately, the segment is beginning to divide into three clear categories: services for everyday correspondence, tools focused on confidentiality, and solutions for advanced users who need custom dictionaries, hot keys, their own API keys, and integrations with code editors.

What it means

The AI dictation market has stopped being an experiment and is becoming a working layer on top of the familiar text input. The winners are not just the most accurate speech recognizers, but those products that can immediately bring what was said to final form — taking into account privacy, platform, price, and the specific use scenario.