Aqua Voice vs Spokenly summary
Aqua Voice and Spokenly both dictate into any app with a hotkey on Mac, Windows, and iPhone. Spokenly is an indie app built around model choice: run local Whisper/Parakeet or bring your own cloud keys, with a generous free tier. Aqua Voice runs its own model, Avalon (97.3% on technical terms), in the cloud, with zero setup. Pick Spokenly for flexible model choice and a big free tier; Aqua Voice for benchmarked accuracy and zero setup, $8/mo billed annually (slightly less than Spokenly Pro's $9.99).
Bring-your-own-model vs one managed model
Spokenly is an indie dictation app (spokenly.app) built around flexibility. It doesn't ship its own model; instead it lets you choose one. You can run open speech models like Whisper or Parakeet locally on your machine, or plug in your own cloud provider through an API key. Local models are free with no word limits, bringing your own key is free too, and Pro is $9.99/month. It runs on Mac, Windows, and iPhone.
Aqua Voice takes the opposite approach. We run our own model, Avalon, in the cloud, so there's nothing to choose, download, or configure, the model is purpose-trained and benchmarked, and it keeps improving without you updating anything. The tradeoff is honest: it's a paid cloud service on a single managed model, rather than a flexible front-end you point at whatever model you like.
What models does Spokenly use?
Spokenly is open about its models: it runs OpenAI's Whisper and NVIDIA's Parakeet locally, and it can call a cloud provider through your own key. These are strong, general-purpose options, and the choice is genuinely useful if you like to tune your own setup.
The tradeoff with general-purpose models is that they weren't designed for specialized vocabulary. Everyday speech is fine, but technical terms, programming keywords, and AI tooling are where they struggle, and a bring-your-own-model app inherits whatever model you pick. That's the gap a purpose-built model closes, so we trained our own and published its results.
We built Avalon on a benchmark of real clips of developers and AI researchers talking naturally, and measured it against Whisper Large v3, one of the open models Spokenly can run:
Model
AISpeak accuracy
Avalon (ours)
97.3%
Whisper Large v3
65.1%
On the public OpenASR leaderboard, Avalon ranked #1 among proprietary systems at its October 2025 debut, ahead of Whisper on that leaderboard. Spokenly also offers NVIDIA's Parakeet and bring-your-own-key cloud models, which we haven't benchmarked head-to-head; either way, the technical-vocabulary gap is what matters most to developers and power users. Try Aqua Voice free.
Where Spokenly wins
A genuinely generous free tier. Spokenly runs local models with no word limits and lets you bring your own cloud key for free. That's far more generous than Aqua Voice's free Starter tier of 1,000 lifetime words, so if you want capable dictation without paying, Spokenly has the clear edge.
Model choice and BYOK. Spokenly is built so you can pick your model: local Whisper/Parakeet on-device, or your own cloud provider via API key. Aqua Voice runs one model with no BYOK. If you want to control which engine transcribes you, or run fully on-device and offline, Spokenly is the more flexible option.
Broader language coverage and MCP. Spokenly advertises 100+ languages where Aqua Voice covers 49, so for less common languages Spokenly likely reaches further. Spokenly also supports MCP, which Aqua Voice does not.
Where Aqua Voice is better
Accuracy without the setup
Avalon is purpose-trained for technical and AI speech and benchmarked publicly: 97.3% on AISpeak where Whisper Large v3 scores 65.1%, and #1 among proprietary systems on the OpenASR leaderboard at its October 2025 debut. Spokenly's accuracy depends entirely on which model you point it at and how powerful your machine is, because it doesn't ship a model of its own.
Zero setup, always current
Aqua Voice runs server-side on one managed model, so there are no models to choose or download, no API keys to wire up, and no hardware requirements. The model keeps improving on its own, where a bring-your-own-model tool is frozen to whatever you've installed or whichever provider you've keyed in until you change it.
Real-time on a bigger model
Because Avalon runs in the cloud, it streams text as you speak on a model larger than a laptop can run. Spokenly's local models are gated by your machine: the more accurate the local model, the slower it goes, and cloud accuracy depends on the provider you've keyed in.
Screen-context awareness
Aqua Voice reads the active window for context, code-aware in your editor, casual in Messages, so it formats to where you're typing. Like Spokenly, it runs on Mac, Windows, and iPhone on one subscription.
A model developers can build on
Rather than asking you to bring your own model, Aqua Voice makes its own available: the Avalon API is OpenAI-compatible at $0.39/hour of audio, so you can put Avalon-grade accuracy into your own tools.
Aqua Voice vs Spokenly: Feature-by-feature comparison
Aqua Voice
Spokenly
Speech model
Avalon (own, purpose-trained)
Your choice (Whisper, Parakeet, or BYOK cloud)
Cost (Pro)
$8/mo ($96/yr)
$9.99/mo
Free tier
1,000 lifetime words
Local models, no limits + free BYOK
Public benchmark
#1 proprietary on OpenASR (Oct 2025 debut)
Not published (model-dependent)
Technical-term accuracy
97.3% (AISpeak, our benchmark)
Not published (model + hardware)
Setup
Zero (cloud, nothing to install)
Pick a model or wire up a key
Processing
Cloud (server-side)
On-device or your cloud key
Works offline
❌ (cloud)
✅ (local models)
Mac / Windows / iPhone
✅
✅
Bring your own model / key
❌ (Avalon API instead)
✅
Languages
49
100+
Real-time + screen context
✅
Model-dependent
MCP support
❌
✅
Best for
Accuracy, zero setup, technical/AI users
Model choice, big free tier, BYOK, more languages
How to decide
Pick Aqua Voice if: You want the most accurate dictation with nothing to set up; you dictate code, AI prompts, or technical terms and want accuracy you can verify; you want one polished managed product with real-time cloud processing, screen-context, and ongoing improvements; or you'd rather not choose and maintain a model yourself.
Pick Spokenly if: You want a generous free tier (unlimited local models, free BYOK); you want to choose your own model or bring your own cloud key; you need on-device, offline dictation; you want MCP support; or you need a language outside Aqua Voice's 49.
Aqua Voice is free to start, so you can compare it against Spokenly on the words you actually dictate before paying anything.
Or just ask ChatGPT.
Frequently asked questions
Is Aqua Voice a good Spokenly alternative?
It depends on what you value. Spokenly is an indie app that runs a choice of models (local Whisper/Parakeet or your own cloud keys) with a generous free tier. Aqua Voice is a managed service on its own model, Avalon, with higher accuracy on technical speech (97.3% on AISpeak), zero setup, screen-context awareness, and ongoing improvements. If you want flexible model choice and a big free tier, Spokenly is great; if you want one polished product with the most accurate dictation and nothing to configure, Aqua Voice is the stronger choice.
What's the difference between Aqua Voice and Spokenly?
They take different approaches to the model. Spokenly is a flexible front-end that lets you pick a model: open speech models like OpenAI's Whisper or NVIDIA's Parakeet running locally, or a cloud provider through your own API key. Aqua Voice is a managed cloud app running Avalon, its own purpose-trained model, with real-time streaming and screen-context awareness. Both run on Mac, Windows, and iPhone and dictate into any app with a hotkey.
Is Aqua Voice more accurate than Spokenly?
On technical and AI speech, Aqua Voice has the edge. Spokenly's accuracy depends entirely on which model you point it at and what hardware you run, since it doesn't ship its own model. Aqua Voice runs Avalon, trained specifically for technical vocabulary: it scores 97.3% on AISpeak (our benchmark of AI and technical terms) where Whisper Large v3 scores 65.1%, and it ranked #1 among proprietary systems on the public OpenASR leaderboard at its October 2025 debut.
Is Aqua Voice cheaper than Spokenly?
On the paid tier, yes, slightly. Aqua Voice Pro is $8/month billed annually, where Spokenly Pro is $9.99/month. But Spokenly's free tier is far more generous: it runs local models with no word limits and lets you bring your own cloud keys for free, while Aqua Voice's free Starter tier is 1,000 lifetime words. So Spokenly is the cheaper way to use dictation for free; Aqua Voice is the cheaper managed, benchmarked model if you go Pro.
Does Aqua Voice run on the same platforms as Spokenly?
Yes. Aqua Voice and Spokenly both run on Mac, Windows, and iPhone, and neither supports Android, so there's no platform advantage either way. The difference is in the model and the experience, not the device coverage.
Does Aqua Voice work offline like Spokenly's local models?
No. Spokenly can run Whisper or Parakeet on-device, so those local models work offline and keep your audio on your machine. Aqua Voice processes audio in the cloud to run the Avalon model, so it needs an internet connection. If fully offline, on-device dictation is a requirement, Spokenly's local mode is the better fit.
Does Aqua Voice let me bring my own model or API key?
Not in the way Spokenly does. Spokenly is built around model choice: you can run local Whisper/Parakeet or plug in your own cloud provider key. Aqua Voice runs one model, Avalon, that we train and host, so there's nothing to choose or configure. For developers who want Avalon-grade accuracy in their own tools, we offer the Avalon API (OpenAI-compatible, $0.39/hour) instead. Spokenly also supports MCP, which Aqua Voice does not.
Is Aqua Voice good for coding and AI prompting?
Yes, it's what Aqua Voice is built for. Avalon was trained on the speech developers and AI users produce, reaching 97.3% accuracy on technical terms like programming keywords, framework names, and CLI commands. It also reads the active app for context and offers the Avalon API for developers. With Spokenly, technical accuracy comes down to which model you choose and how you've set it up.