If you turn on fast dictation, it will sometimes translate the language in which you dictate to English, which, in some cases, is not intended. Very often when I dictate something in another language than English, I want it to be transcribed in that language.
The developers know about this and are working for a solution. In general, I would say every bug or feature request that you share with them is acted on very diligently and with speed.
Willow Voice
honest question after 6 launches: what's the retention curve actually look like for scribe specifically versus the base dictation product. dictation has obvious daily utility because it replaces typing. scribe feels more like something people try for a week and then forget exists unless it's deeply in the habit loop. how are you solving for that
Willow Voice
@ansari_adin Love the question. What we’ve actually seen with beta users is that Scribe ends up being stickier than traditional dictation!
On the surface, dictation feels like it has obvious daily utility because it replaces typing. But in practice, it’s a bit unnatural. You have to speak in a very specific, word for word way, almost like you’re talking to ChatGPT. That works in certain contexts, but it doesn’t map cleanly to how people naturally communicate in tools like email or Slack.
With Scribe, you just talk the way you normally would. It makes it much easier to adopt, because you’re not learning a new behavior. You’re just speaking naturally and letting it handle the formatting :)
The interesting bit here is the gap between “how I talk while thinking” and “how I want the final message to read.” A lot of voice tools preserve the first too literally, which makes the output fast but still not quite sendable.
I’d be curious how Willow separates transient spoken scaffolding — false starts, caveats, messy ordering — from durable voice traits like sentence rhythm, level of warmth, and how direct someone tends to be. That feels especially important inside Slack/email, where the same person may want a very different register depending on recipient and risk.
The biggest issue for me has always been that I don’t speak in perfectly structured sentences, especially when writing emails, messages, or prompts. So the idea of turning a rough spoken thought into a clean message in your own voice feels much more useful than traditional dictation.
The context-aware replies are especially interesting. If it can understand the thread and draft something that actually fits the situation, that could save a lot of time. A few questions: how much does Willow learn from someone’s writing style over time, and can users control or reset that personalization? Also, how does pricing work after the Product Hunt discount?
Really curious to see where this goes. Good luck with the launch!
Willow Voice
@andrasczeizel Thanks so much for the thoughtful comment, really appreciate you digging into the details.
Yes, Willow does learn over time. It’s starting with the fundamentals like simple punctuation, word choice, and light phrasing. As you use it more, it gradually adapts to how you naturally respond, your tone, and the kinds of structures you prefer. The goal is for it to feel less like generic dictation and more like your voice, just cleaner and more structured.
You’re always in control of that personalization. You can reset or fine-tune it anytime by going to the Style Matching tab and adding your own specific habits or preferences, so it stays aligned with how you want to sound.
For pricing, the Product Hunt deal is 50% off for the first three months. That comes out to about $7.50 per month, or roughly $20 total for the three-month period.
Really appreciate the support and the great questions. Excited to see what you think once you’ve had a chance to try it!
Guys Have you ever come up with any original idea ever ? You been trying to sell Dictation for three years copying most of stuff which Wiprflow and other apps does and now you have copied pasted someone else's idea and came with this botched version . I’m going to be honest, this feels like a weak, rushed copy of what other voice AI products are already doing.
he “tell it what to say and it writes the rest” angle is not new. The wording, the feature direction, and even the positioning feel borrowed from other products. If you have funding, a team, and years in this space, at least bring something fresh instead of copying the category and shipping a weaker version.
Also, the privacy side is a serious concern. This kind of product touches voice, emails, messages, documents, and active app content. So users deserve clear answers:
Are you storing audio?
Are you storing what people write?
Are you reading screen or app context?
Is any user data used for training?
How long is the data kept?
What exactly makes this different from Wispr Flow or other voice AI tools?
Right now, Wispr Flow still looks far more polished, more trustworthy, and more original. This looks like a botched version of products that already exist.
Not trying to be polite here. This category needs real creativity, not another recycled voice dictation wrapper.
I’ve been a heavy user of Claude and GPT for a long time, especially for writing emails and posts. They’ve been a core part of my workflow.
Recently, I started using Willow Scribe (Ive used regular Willow dictation for about a year), and I absolutely love it. I’m using it to draft emails, create LinkedIn posts, refine prompts, and even support a white paper I’m currently writing. It feels much more natural and fluid, especially compared to traditional dictation tools that capture every false start and half-formed thought.
Willow has genuinely improved how I think and write in real time. I couldn’t recommend it more.
Willow Voice
@jennifer_terrell Thank you so much for the incredibly thoughtful feedback, Jennifer. We’re thrilled it’s helping you think and write more fluidly in real time.
The highlight-anything-and-rewrite-in-place feature is the one I'd use most, and also the one I'd poke at first — does that work through the macOS accessibility layer in any text field, or only inside the named apps (email, Slack, iMessage, Docs)? The "in place" part is what separates this from copy-pasting into a chatbot, so how far the surface actually reaches matters.