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Larger custom dictionary, voice fine-tuning, and free system instruction for the custom API

The dictionary limit is the main thing holding the free tier back I'm a Vowen user, and the 50-word dictionary cap is honestly the only free-tier restriction that gets in my way. I'd happily see a much larger dictionary as a paid feature - it would be genuinely valuable for me and several people around me. For reference, wisprflow.ai lets you add thousands of words and tunes the system around them (optimal LLM prompts, etc.). I've set up a small model that runs locally on my laptop and proofreads my transcribed text. It comfortably handles far more than 50 words using the language model alone - I'd estimate 500 - 1000 words without trouble on my hardware, and I'd expect the same via API requests. So the technical ceiling is much higher than the current limit suggests. The feature I'd really love: personal fine-tuning What would be amazing is a way to fine-tune the model specifically for me - for my voice and my vocabulary. If there's any way I can help test or contribute to this, I'm in. Feedback: please don't paywall the system instruction on the custom API Locking the LLM system instruction behind a paywall doesn't make much sense. It's trivial to work around - with LM Studio, Llama, or any other provider, I can set a system instruction at the provider's own level when connecting the model. So a paid system instruction just pushes me to configure it elsewhere. Given that it used to be free, the better move is the opposite: keep the system instruction as a free feature.

Nikolai Vysotskyi 1 day ago

1

Completed

RAM usage and resource optimization

On Windows, I've noticed the app sits consistently around 300MB of RAM, sometimes a bit more, sometimes a bit less. I've used other similar tools in the past that hovered around 30MB or so, which made me wonder if there's room for optimization on that front. I also noticed my MacBook Air M1 running warmer than usual during the same workflow I normally do. I can't say for certain Vowen is responsible, but connecting the dots with what I saw on Windows, it felt worth mentioning — especially on a fanless machine where thermals matter a bit more. I completely understand that a tool with this many features has a certain overhead, and I'm not expecting it to be ultra-lightweight. That said, I was wondering if any resource optimizations are on the roadmap — things like a more progressive resource usage model, or the ability to put certain features into standby when they're not actively being used, so the app has a lighter footprint during idle or low-usage moments. Just to add context: I'm using cloud APIs only (Groq and OpenAI) — no local models running on my side — so the footprint isn't coming from inference. Thanks as always for the great work

dimezio 19 days ago

1

Possible bug: transcription switching to wrong language despite fixed language setting

Hi Vowen team, I wanted to mention something I've noticed a few times, not sure if it's a bug or something I'm misconfiguring. I'm using Vowen with Groq and OpenAI o4 mini for transcription, with a specific language set in the preferences (not "auto detect"). Most of the time it works fine, but occasionally the transcription switches to a completely different language — I've seen Cyrillic pop up a couple of times, and once or twice something else entirely. It tends to happen in two situations: With short phrases, where it seems like there isn't enough audio context to stay on track Randomly in the middle of longer transcriptions — so the first part comes out correctly, and then a chunk somewhere in the middle suddenly switches language before going back to normal It's not super frequent, but noticeable enough that I figured it was worth flagging. My guess is the underlying model might be doing its own language detection at some point regardless of the setting, but I'm not sure if that's by design or not. If there's something I should configure differently, happy to try. Otherwise, hopefully this is useful feedback!

dimezio 19 days ago

1

Completed

Auto-learn from corrections + bulk dictionary import

Hi Vowen team, First off, I really like your project, it's really useful. I wanted to share a couple of ideas that would make it even more powerful: 1. Auto-learn from manual corrections When a word gets transcribed incorrectly and I fix it by hand in the text, it would be great if the app noticed that and silently added the correction to my custom dictionary in the background. So the next time I say the same thing, it already knows what I mean - no extra steps. For example, I often say "DeepL" (the translation tool), and Vowen transcribes it as something like "dipl". If it learned from that first correction, I'd never have to fix it again. 2. Bulk import words via .txt or .csv file Right now, adding technical or niche vocabulary one word at a time can be pretty tedious. It would be really handy to be able to upload a plain text or CSV file with a list of words to add to the dictionary all at once. This would be especially useful for people who work in specific fields - for example, developers who regularly say things like MySQL, PHP, Supabase, or prompt engineering terms, or really anyone working in a niche where standard speech recognition tends to struggle. Being able to prepare a word list in advance and import it in one shot would save a lot of time. Thanks for considering it, and keep up the great work!

dimezio 19 days ago

2