Ross ROSS = Recommend OSS · open-source software intelligence for agents

jxlpzqc/TMSpeech

腾讯会议摸鱼工具 observed · 2026-08-28

github.com/jxlpzqc/TMSpeech · C# · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

82/100

  • Activity 92
  • Release rhythm 69
  • Longevity 83
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: 112.0
  • age_days: 1170
  • days_rel: 49
  • days_push: 49
  • n_releases_24m: 5

Full methodology

Adoption not part of the score

1447 stars · 135 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

TMSpeech is a Windows desktop application that captures system audio via WASAPI loopback and performs real-time Chinese speech-to-text, displaying results as karaoke-style subtitles. It also saves transcription history and meeting notes to files, and supports pluggable external recognizers via a command-line protocol.

Use cases

  • show real-time captions for meeting audio on windows
  • transcribe online meetings to text automatically
  • catch up on a meeting after zoning out by reading recognition history
  • generate meeting minutes saved by date
  • use a custom speech recognition model as an external recognizer
  • display live subtitles even with system sound muted

When to choose

  • you need offline, low-CPU real-time Chinese speech captions on Windows
  • you want to capture audio played by the computer rather than a microphone
  • you want to plug in your own ASR model or command-line recognizer

When to avoid

  • you need speech recognition on macOS or Linux
  • you need English or other non-Chinese transcription out of the box
  • you need cloud-based, speaker-diarized transcription services

Facets

application · maturity active

speech-recognition audio-processing gui speech-processing developer-tools windows windows real-time-captions meeting-transcription loopback-audio-capture chinese-asr sherpa-onnx subtitle-overlay desktop

1 source

Member repositories

RepositoryRoleHealth v2
jxlpzqc/TMSpeechmain82

For agents

markdown · JSON · MCP: product_card(name="jxlpzqc/TMSpeech")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem