Aqua Voice vs Wispr Flow: Accuracy-First or Editing-First? (2026)

You're here because typing is slow and you want to use your voice instead. Maybe you've already tried one of these tools and hit a wall. Maybe you're tired of going back to fix words that should have been right in the first place.

Here's what you need to know: Aqua Voice and Wispr Flow represent two genuinely different philosophies about how voice input should work. Understanding that difference will save you time, money, and frustration.

Quick Verdict

Choose Aqua Voice if you want your words to come out right the first time. Aqua built a proprietary speech model called Avalon that scores 97.4% accuracy on technical terms like kubectl, useState, and LangChain. You speak, it's accurate, you keep moving. $8/mo on annual billing.

Choose Wispr Flow if you prefer to speak freely and let AI rewrite your rambling into polished text afterward. Wispr's approach is more "brain dump now, clean up automatically." It has team management features and an iPhone app today. $12/mo.

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Two Philosophies of Voice Input

This is the core difference, and everything else follows from it.

Aqua Voice: Accuracy-First

Aqua built its own speech recognition engine, Avalon, from scratch. The entire product is organized around one idea: your words should be correct when they land on screen. No cleanup pass. No AI rewriting what you meant. You said pgvector, and pgvector appears. You said "schedule the Kubernetes deployment," and that's exactly what shows up.

Words stream onto the screen as you speak them, in real time. There's no waiting for a transcription to process. You talk, text appears, you move on.

The bet is simple: if the speech recognition is accurate enough, you don't need a layer of AI editing on top. You just need a really, really good model.

Wispr Flow: Editing-First

Wispr Flow takes the opposite approach. Their homepage literally demonstrates messy, rambling speech being polished into clean prose. The tagline is "Don't type, just speak." The product description says it "turns speech into clear, polished writing."

This is dictation in the traditional sense. Speak however you want, stammer through your thoughts, and the AI will figure out what you meant and rewrite it. Wispr has per-app "Styles" that adjust tone depending on whether you're in Slack or a Google Doc. It's a writing assistant with a microphone attached.

There's nothing wrong with this approach. If your workflow is mostly emails, Slack messages, and documents where you want to think out loud and have AI clean up after, it works. Wispr has raised $30M+ in funding and acquired Yapify to build their "Voice OS" vision around it.

But it's a fundamentally different product than what Aqua is building.

Why This Matters to You

Think about what actually slows you down. Is it typing itself? Or is it going back to fix errors?

If you've ever used voice dictation and spent more time correcting mistakes than you saved by not typing, you've experienced the core problem Aqua solves. When your voice input tool mangles Anthropic into "anthropic" or turns bun into "bun," or renders Deno as "Dino," every correction chips away at the speed advantage.

Wispr's answer: let AI rewrite everything, so errors get smoothed over. Aqua's answer: get the words right so there's nothing to rewrite.

The Model: What's Actually Under the Hood

Aqua Built Avalon

Aqua Voice developed Avalon entirely in-house. It's a proprietary automatic speech recognition model trained, optimized, and deployed on Aqua-managed cloud infrastructure. No third-party model provider sits between your voice and your text.

This means Aqua controls everything: model architecture, training data, inference speed, accuracy improvements, and cost structure. When Avalon improves, only Aqua users benefit.

Aqua publishes its benchmarks. The current public model achieves a 6.24 Word Error Rate (WER), with the latest version reaching 5.52 WER:

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Wispr Flow Uses Llama on Baseten

Wispr Flow runs on fine-tuned Llama models hosted on Baseten with AWS infrastructure. This is from Wispr's own co-authored blog post with Baseten, September 2025.

Building on top of existing models is a valid strategy. But it means Wispr is structurally dependent on third-party infrastructure for its core functionality. If Baseten's Llama models improve, every company using them improves. If they degrade, so does Wispr.

Wispr does not publish Word Error Rate benchmarks or any accuracy numbers. There are no public claims about transcription accuracy on their website. This makes direct numerical comparison impossible, but the absence is telling. When your product is built around "we'll clean up the mess," publishing accuracy numbers isn't really the point.

Accuracy: Where the Philosophies Collide

Technical Vocabulary

If you write code, work with AI tools, or use specialized terminology in any field, this is where the accuracy-first approach pulls dramatically ahead.

Aqua created the AISpeak benchmark to measure accuracy on exactly the vocabulary general-purpose models butcher: model names, framework references, programming concepts, terminal commands, API names.

Avalon scored 97.4% on AISpeak. The next-best performer was ElevenLabs at 78.8%.

That gap is the difference between:

• "Cursor" and "cursor"

• "LangChain" and "lang chain"

• "kubectl" and "cube cuddle"

• "pgvector" and "PG vector"

• "Ollama" and "oh llama"

• "useState" and "use state"

Every one of those corrections takes 5 to 15 seconds. Multiply by dozens of occurrences per day, and you're losing the speed advantage that made voice input appealing in the first place. The editing-first approach papers over this with AI rewriting, but it can only fix errors it recognizes. When the AI doesn't know that you meant Deno and not "Dino," the editing layer fails silently.

General Accuracy

The accuracy gap extends well beyond technical terms. In Aqua's Human-Scribe benchmark, Avalon achieves 0.9% WER on email dictation, compared to Wispr Flow's 10.5%. For context, human transcription averages about 4% WER. Aqua is literally more accurate than a human transcriptionist on email.

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Lower Word Error Rate means fewer corrections, which means faster overall throughput regardless of what you're talking about.

Wispr Flow users have noted the accuracy gap from the other side:

"Been using Wispr Flow for a few months. It's great for dictation but I'm realising I want something different. Whatever I say there are limitations in the style of personalization. Are there any platforms which can know more about me or context knowledge of what matters to me."

>

*Reddit user*

The frustration is recognizable: the editing layer can only do so much when the underlying recognition isn't precise enough.

Features That Follow from the Philosophy

Each product's feature set makes sense once you understand the core approach.

Streaming Real-Time Mode (Aqua)

Because Aqua focuses on getting words right the first time, it can show them to you as you speak. Text streams onto the screen in real time. There's no buffer, no delay, no waiting for a block of speech to process. You see your words appear and can course-correct mid-thought.

Wispr Flow doesn't prominently feature real-time streaming. In the editing-first model, showing raw text before the AI cleans it up would undermine the value proposition. You'd see the mess before the polish.

Custom Instructions (Aqua)

Aqua lets you write natural language prompts that control how your speech is transformed: "Always capitalize brand names." "Format code blocks in markdown." "Use British English spelling." "When I say 'new paragraph,' start a new paragraph instead of typing those words."

This is flexible and powerful because it works at the recognition level. You're tuning the model's behavior, not adding a post-processing step.

Wispr Flow offers per-app "Styles" that adjust tone and formatting based on which application you're using. This works within the editing-first framework: different cleanup rules for different contexts. But it's limited to English and desktop only.

Deep Context and Screen Awareness (Aqua)

Aqua's LLM integration references on-screen content to improve accuracy and formatting. If you're looking at a code file and mention a variable name, Aqua uses that context. If you're in a Slack thread and reference the conversation, the correction model understands.

Here's a real example. You say: "Can you modify the canonical title on the context response model to be either an object or a string?" With Deep Context on, Aqua outputs: "Can you modify the canonical_title on the ContextResponse model to be either an object or a string?" It sees your code and formats accordingly.

Context-aware accuracy is a multiplier on Avalon's already-strong baseline.

Text Expansions (Both)

Both Aqua and Wispr Flow support text expansion shortcuts. Speak a trigger phrase and it expands into full text: email signatures, boilerplate code, standard responses. This is not a differentiator. Both do it.

File Tagging for Code Editors (Both, Different Quality)

Both products offer file tagging in editors like Cursor and Windsurf. Wispr Flow mentions file tagging, syntax awareness, and automatic camelCase/snake_case handling. Aqua's implementation goes deeper with context awareness from the code itself.

Whisper Mode (Wispr Only)

Wispr Flow can process whispered speech. If you work in an open office and need to dictate quietly, this is a real advantage. Aqua doesn't currently offer whisper detection.

Speed and Reliability

Speed: WPM and Latency

Aqua users average 179 words per minute, with the top 10% reaching 247 WPM. These are measured averages across the user base. Wispr Flow claims 220 WPM on their marketing site, though the methodology behind that number isn't published.

More importantly, Aqua is 31% faster on latency. The time from when you stop speaking to when text appears: 965ms for Aqua versus 1,399ms for Wispr Flow (tested on clips under 30 seconds, MacBook Pro). Aqua's Instant Mode drops that to roughly 450ms. In Streaming Mode, text appears in real time as you speak.

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The real speed question isn't raw WPM. It's: how much time do you spend going back to fix things? If Aqua's output requires fewer corrections, your net throughput is higher even if the raw speaking speed were identical.

Reliability and Infrastructure

Because Wispr Flow depends on Baseten and AWS, users experience slowdowns during high-traffic periods:

"I've been using Wispr Flow for some time now, and it's sometimes painfully slow when the network or the AIs are bogged down."

>

*Tomas Gutierrez Meoz*

Tomas also noted that Wispr was faster at activating the microphone and starting to record, calling it his "main bottleneck" in switching. Speed comparisons aren't one-dimensional.

Aqua runs Avalon on its own managed cloud infrastructure, giving the team direct control over capacity and latency. Audio processing is private and ephemeral: processed and discarded, never stored or used for training.

Resource Usage

Wispr Flow's desktop app has drawn complaints about resource consumption:

"It seems to be a really clunky Electron app. It's always taking up a massive chunk of my computer's memory and slows everything down... I've requested for support like a million times, but no one ever responds."

>

*Reddit user*

Aqua is a native application, not an Electron wrapper. If you're running Cursor, Docker, and a dozen Chrome tabs alongside your voice input, this matters.

The Developer Question

Developers are Aqua's core audience, and it shows. The top five apps used with Aqua are Cursor, VS Code, Claude, Gemini, and iTerm2. If your day involves prompting LLMs, writing code, or working in a terminal, Aqua was built for exactly that workflow.

Why Developers Need Accuracy-First

Developers don't want their voice input to "polish their thoughts." They want their voice input to type what they said. When you're prompting Claude to refactor a function, you need the prompt to be precisely what you intended. An AI rewriting your prompt before it reaches another AI is a game of telephone.

The 97.4% AISpeak accuracy isn't a nice-to-have for developers. It's the entire value proposition. LangGraph, pgvector, Anthropic, bun, Deno, Ollama, FastAPI, Supabase: Avalon handles all of these without manual correction.

The Avalon API

Aqua offers the Avalon API for developers who want to build voice input into their own products. This is a production speech recognition API backed by the same model powering the consumer product.

Wispr Flow has no API. If you want to build on top of voice recognition, Aqua is the only option between these two.

What Developers Say After Switching

"I replaced Wispr Flow with it. I'm a transcription addict. My most common use case is journaling or brainstorming writing but I use it a ton for work as well. I've been using it a lot in Slack and for meetings."

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*David Rascoe, Ops & Project Manager*

"I've tested all the other competitors and Aqua is the only one that works. The custom text prompt for the transcription correction pass is a must-have for me."

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*Fred Chu, API power user*

"Since subscribing, I honestly can't imagine going back to either Dragon or Apple."

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*Colin, accessibility user*

Pricing

Aqua is cheaper at every tier.

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On annual billing, Aqua costs 33% less than Wispr Flow. That's $48 per user per year. For a 10-person team, $480 in annual savings on top of a proprietary speech model, published accuracy benchmarks, streaming mode, custom instructions, and an API.

The pricing makes sense when you consider the architecture. Wispr pays Baseten for inference. Aqua runs its own model on its own infrastructure. Owning the model means better margins, which means lower prices for the same (or better) quality.

Aqua's student pricing is significantly more aggressive. A 70% discount with a .edu email brings the cost to roughly $3/month, compared to Wispr Flow's $6/month student plan.

Language Support

Aqua supports 49 languages with automatic language detection, including Arabic, Bengali, Cantonese, Mandarin, Hindi, Japanese, Korean, Polish, Portuguese, Thai, Turkish, and more. Six of these (English, Japanese, Spanish, German, French, Russian) get extra accuracy through Avalon-optimized models.

Wispr Flow claims 100+ languages with automatic language detection.

The gap is smaller than it looks. Aqua covers the languages that the vast majority of users actually need. If you work in one of the 49 supported languages, Aqua handles it. If you need Amharic or Lao, Wispr has broader coverage.

Aqua's Japanese support deserves a special mention: the product went viral in Japan organically because voice input is roughly 3x faster than typing in non-Latin languages. Japanese users drove significant adoption without any marketing effort.

Privacy and Compliance

How Your Data Is Handled

Aqua Voice processes audio on Aqua-managed cloud infrastructure. Processing is private and ephemeral: your audio is transcribed and immediately discarded. It is not stored, not used for model training, and not accessible after processing.

Wispr Flow processes audio using Baseten and AWS infrastructure. Wispr has published formal compliance certifications.

Enterprise Compliance

Wispr Flow currently holds SOC 2 Type II, ISO 27001, and HIPAA certifications. These are real, audited commitments that matter for enterprise procurement.

Aqua Voice is finalizing SOC 2 and HIPAA compliance, expected within the coming weeks. If your organization requires these certifications today, Wispr can provide the documentation. If your timeline is flexible, Aqua will have them soon.

For individual users, freelancers, and startups, both products offer private cloud processing. The compliance question is really about whether your procurement team needs a specific piece of paper before approving the purchase.

Platform Support

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Wispr Flow has an iPhone app available today. Aqua's iOS app launches March 1, 2026. If mobile voice input is a day-one requirement for you, Wispr has a head start of a few weeks.

The more meaningful platform difference is the API. The Avalon API lets developers integrate production-quality speech recognition into their own applications. Wispr Flow is an end-user product only. If you want voice input as infrastructure, not just an app, Aqua is the only choice.

What Wispr Flow Genuinely Does Better

Honest assessment. These are real advantages:

Team management. Wispr Flow offers shared dictionaries, shared snippets, centralized billing, and usage dashboards for organizations. If you're deploying voice input across a company, these admin features reduce friction.

Whisper mode. Dictating quietly in an open office is a real use case, and Wispr handles it.

Polished marketing and onboarding. Wispr has dedicated landing pages for lawyers, sales teams, creators, students, accessibility, customer support, and more. They've invested heavily in making every persona feel seen. If you want a product that's been packaged for your specific job title, Wispr's website will make you feel at home.

iPhone app today. If you need mobile voice input before March 1, 2026, Wispr is your only option between these two.

Who Should Choose What

Choose Aqua Voice If:

You're a developer or technical user. The 97.4% accuracy on coding and AI terminology is unmatched. If you spend your day in Cursor, VS Code, Claude, or a terminal, Aqua was built for exactly your vocabulary. Download Aqua and test it on your actual workflow.

You want your words to be right the first time. If your frustration with voice input has always been going back to fix errors, Aqua's accuracy-first approach eliminates that friction. Streaming mode means you see text as you speak, so you're never waiting and wondering what the AI decided you "really meant."

You want to spend less. $8/mo versus $12/mo. Better accuracy, a proprietary model, real-time streaming, custom instructions, and an API. For less money.

You're building something. The Avalon API is the only production speech recognition API in this comparison. If you want voice input as a building block, not just a tool, Aqua is the only option.

You value transparency. Aqua publishes its accuracy benchmarks. You can verify the claims. Wispr does not publish accuracy data.

Choose Wispr Flow If:

You want AI to rewrite your speech, not just transcribe it. If your workflow is thinking out loud and letting AI turn your rambling into polished emails, reports, or messages, Wispr's editing-first approach is designed for exactly that. Some people genuinely prefer this. It's a different way of working.

You're managing a team deployment. Shared dictionaries, shared snippets, centralized billing, and SSO/SAML make enterprise rollout smoother with Wispr today.

You need an iPhone app right now. Wispr's mobile app is live. Aqua's launches March 1, 2026.

Your organization requires compliance documentation today. Wispr has SOC 2 Type II, ISO 27001, and HIPAA certifications available now. Aqua's are coming within weeks, but if your procurement team can't wait, Wispr clears the hurdle.

Switching from Wispr Flow to Aqua

The switch is straightforward. Download Aqua, use the free trial to test it against your real workflow, and compare the results. The accuracy difference is usually apparent within the first few minutes, especially if you use technical vocabulary.

"Aqua Voice took over my life on my computer."

>

*Tim Cakir*

"It is a fantastic tool. I started using it this past Saturday, immediately upgraded to the paid version."

>

*Zvi Reiss*

Both Aqua and Wispr support text expansion, custom dictionaries, and system-wide input. The features you rely on will transfer. The accuracy will be the thing you notice.

Frequently Asked Questions

Is Aqua Voice better than Wispr Flow?

For accuracy, yes. Aqua's Avalon model scores 97.4% on coding and AI terms and achieves a 5.52 Word Error Rate, the best published score among commercial voice input products. Aqua is also 33% cheaper on annual billing, offers streaming real-time mode, custom instructions, and an API. Wispr Flow has advantages in team management features and currently holds more enterprise compliance certifications.

How much does Wispr Flow cost compared to Aqua Voice?

Aqua Voice costs $10/mo (or $8/mo on annual billing). Wispr Flow costs $12/mo with no annual discount. On an annual plan, Aqua saves you $48/year. Both offer student discounts: Aqua at roughly $3/mo with a .edu email, Wispr at $6/mo.

Does Wispr Flow have an API?

No. Wispr Flow is a consumer and enterprise product only. Aqua offers the Avalon API for developers building voice input into their own applications.

Does Aqua Voice work with Cursor and VS Code?

Yes. Cursor and VS Code are the two most-used apps with Aqua Voice. The 97.4% accuracy on coding and AI terminology makes it particularly strong for development workflows, including prompting AI coding assistants.

How many languages does Aqua Voice support?

Aqua supports 49 languages with automatic detection. Avalon-optimized models provide enhanced accuracy for English, Japanese, Spanish, German, French, and Russian. Wispr Flow claims 100+ languages with automatic detection.

Is Aqua Voice good for non-developers?

Yes. While developers are the core audience, Aqua's accuracy-first approach benefits anyone who wants their words transcribed correctly. The top apps used with Aqua include Chrome, Brave, Word, Slack, and LINE alongside developer tools. If you value accuracy over AI rewriting, Aqua works regardless of your profession.

Does Aqua Voice process audio on-device?

No. Aqua processes audio on Aqua-managed cloud infrastructure. Processing is private and ephemeral: your audio is transcribed and immediately discarded. It is not stored or used for model training.

Is Wispr Flow HIPAA compliant?

Yes. Wispr Flow offers HIPAA compliance on all plans, along with SOC 2 Type II and ISO 27001 certifications. Aqua Voice is finalizing SOC 2 and HIPAA compliance, expected within the coming weeks.

Which is better for voice coding and vibe coding?

Aqua Voice. The 97.4% accuracy on technical terms means your prompts to AI coding assistants come through correctly. Streaming mode lets you see text as you speak, which is essential for iterative prompt engineering. Custom instructions let you control formatting (like always outputting code blocks in markdown). The Avalon API also enables building custom voice-powered development tools.

The Bottom Line

Wispr Flow built a polished editing layer on top of third-party AI models. It's well-funded, well-marketed, and well-suited for people who want to think out loud and let AI handle the writing. It's dictation with a generous AI cleanup pass.

Aqua Voice built the speech recognition itself. A 5-person team created Avalon, a proprietary model that leads every published accuracy benchmark. It costs less. It streams in real time. It has an API. It gets your words right so you don't need the cleanup.

Different philosophies. The question is simple: do you want a tool that gets it right, or a tool that fixes it after?

Try Aqua Voice free. The accuracy speaks for itself.

Last updated: February 2026. Pricing and features reflect the most current publicly available information for both products. If anything on this page is inaccurate, contact us at hello@aquavoice.com and we'll correct it.