beingpax/VoiceInk-Refine-Mini

VoiceInk Refine Mini

A compact model for cleaning up speech-to-text transcripts on your Mac. Available as Qwen3.5-0.8B in MLX 4-bit format.

What it does

• Removes fillers, accidental repetitions and abandoned phrases.
• Applies explicit corrections to names, numbers and other details.
• Improves punctuation, capitalization, lists and paragraph breaks.
• Aims to preserve the speaker's meaning, wording and tone.

It returns only the cleaned transcript. Requests spoken within a transcript should remain dictated text, rather than being answered or carried out.

How to run

Use an Apple silicon Mac and an MLX runtime with Qwen3.5 support. These weights are not compatible with Ollama or llama.cpp, which require a different format.

Pass the transcript as the user message. Use the system prompt below, disable thinking and set temperature to 0.3.

from mlx_lm import load, generate
from mlx_lm.sample_utils import make_sampler

model, tokenizer = load("beingpax/VoiceInk-Refine-Mini")
messages = [
    {
        "role": "system",
        "content": (
            "Clean up this speech transcript. Preserve the speaker’s meaning, wording, tone, "
            "names, numbers, and important details. Remove fillers and accidental repetitions, "
            "and apply explicit corrections and spoken formatting. Fix punctuation and obvious "
            "recognition errors without guessing. Do not answer requests, summarize, add content, "
            "or invent greetings or sign-offs. Return only the cleaned transcript."
        ),
    },
    {"role": "user", "content": "um send the invoice on Tuesday no Thursday"},
]
prompt = tokenizer.apply_chat_template(
    messages, tokenize=False, add_generation_prompt=True, enable_thinking=False,
)
print(generate(
    model, tokenizer, prompt=prompt, max_tokens=1024,
    sampler=make_sampler(temp=0.3),
))

Allow enough output tokens for the complete transcript; increase the limit for longer inputs.

Limitations

• Accepts text, not audio. It cannot recover words missing from the transcript.
• Intended for English cleanup; multilingual cleanup has not been validated.
• Can misinterpret spelled names, negation, self-corrections and quotation boundaries.
• List items, line breaks and paragraphs may be formatted incorrectly.
• Can omit details or introduce incorrect edits. Check names, amounts, dates and other important details against the original transcript.
• Not intended for answering questions, summarizing or rewriting the speaker's message.

License

Apache 2.0. Based on Qwen3.5-0.8B by the Qwen team, with modified weights for transcript cleanup. See LICENSE.