ai-agent

fcitx5-vinput

Voice input for Fcitx5 — local and cloud ASR, LLM rewriting, cross-distro packages
599 stars+39★ this week52 forksC++Updated 10/23/2026100% free · open source
What it does

Adds voice‑to‑text input to Fcitx5, letting you dictate locally (Vosk) or via cloud (OpenAI) and optionally rewrite the text with an LLM.

When to use it
  • •You want hands‑free typing on Linux desktops that already use Fcitx5.
  • •You need a privacy‑focused local speech recogniser (Vosk) but also want the option to call a cloud LLM for rewriting.
  • •You prefer a single install that works across Ubuntu, Arch, and Fedora without pulling in heavyweight GUI dictation apps.
Ready-to-paste prompt
Press the hotkey, say: “Schedule a meeting with the product team next Tuesday at 10 am, then rewrite it as a formal email invitation.” The plugin will transcribe, send the raw text to OpenAI, and paste the polished email into your editor.
Heads up: Cloud transcription and LLM rewriting require a valid OpenAI API key; without it the plugin falls back to Vosk, which only supports the languages for which you have downloaded a model.
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/fcitx5-vinput && curl -fsSL https://workflowstacks.com/api/skills/fcitx5-vinput/claude-skill -o ~/.claude/skills/fcitx5-vinput/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How fcitx5-vinput works
Codeflow
Free to inspect

Fcitx5-vinput is a very large C++ project (~79k lines across 352 code files, plus 32 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, GPL-3.0 license, has a test suite.

Size
Very large codebase
~79k lines · 352 code files · days to read — use, don't read
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Python
No API keys detected
C++ 89%Roff 3%CMake 2%Shell 2%MDX 1%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    AGENTS.md
    The instructions the AI actually follows
  3. 3
    pyproject.toml
    Dependencies and the commands it exposes
  4. 4
    src/cli/main.cpp
    Inside src/ — the main logic begins here
What's in each folder
src/Core code — the actual logic209 files
site/Frontend / UI31 files
3rdparty/Folder152 files
data/Data files39 files
packaging/Folder16 files
scripts/Helper scripts9 files
po/Folder2 files
systemd/Folder2 files
READMEHas testsDocumentedCI checksGPL-3.0 licenseUpdated this month
Quick Actions
Details
Creator
xifan2333
Language
C++
Category
ai-agent
Published
3/6/2026

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Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/fcitx5-vinput.svg)](https://workflowstacks.com/skills/fcitx5-vinput?utm_source=github&utm_medium=badge)
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