🔊 say-it · Pronounce

Stop saying "kub-cuttle". One Bash command pronounces 1200+ developer jargon names — with cited sources.

🌐 pronounce.renlab.ai · 🇨🇳 中文 · 📖 Browse · 🎯 Quiz · 🎤 Voice search · 🔌 MCP server

▶ Watch the 47-second promo (with voice) · 🎯 Try the quiz · 🎤 Voice search

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🚀 Try it in 30 seconds

git clone https://github.com/anzy-renlab-ai/pronounce.git
cd pronounce && ./install.sh
say-it kubectl

That's it. Now try say-it GIF, say-it nginx, say-it Pydantic, say-it --why JSON, or say-it quiz for a 10-question challenge. Linux users: install espeak-ng (sudo apt install espeak-ng) and the CLI just works. Windows: same CLI under WSL or git-bash + PowerShell. Or skip install and use the browser at pronounce.renlab.ai.

⭐ If say-it kubectl saves you one cringey standup moment — star the repo. It nudges more devs to contribute their favorite mispronounced project name.

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What you're actually getting

• 1580 entries, every one sourced. Confidence-tagged (creator-clarified / community-consensus / contested) with a citable URL where one exists. Wilhite said GIF is "jif" at the 2013 Webby Awards. Crockford says JSON is "JAY-son" (RailsConf 2009). RFC 7519 says JWT is "jot". The dictionary cites them.
• Multi-reading audio. For words where the debate is real — GIF, SQL, GUI, char, regex — the CLI chains the alternates after the primary with a spoken "or:" so you hear the debate without staring at the terminal. --solo skips the tail once you've internalized it.
• Zero deps. ~250 lines of Bash. No npm, no sudo, no surprises. Wraps the say engine that's already on your Mac. Ships a Claude Code skill and an MCP server so your AI answers "how do you pronounce X?" with audio, not a phonetic guess.

$ say-it --why JSON
word              JSON
ipa               /ˈdʒeɪsən/
respelling_us     jay son
source            Douglas Crockford (RailsConf 2009)
url               https://www.youtube.com/watch?v=-C-JoyNuQJs

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Why not just Google?

Because Google gives you 47 Reddit arguments and a YouTube clip you have to unmute. IPA gives you /ˈkuːb kənˌtroʊl/ — a reference, not a teacher.

You don't need a phonetic transcription. You need to hear the word. Twice. Maybe three times. Done.

say-it ships a community-maintained dictionary of how engineers actually say the names that trip everyone up — and feeds the intended respelling to your OS's text-to-speech engine, so kubectl comes out as koob-control, not whatever your computer guessed from the letters.

Famous moments

Some pronunciations aren't opinions — the creators settled them. The dictionary cites every one:

Word	Reading	Source
GIF	"jif" (creator says so)	Steve Wilhite, Webby Awards 2013
JSON	"jay-son"	Douglas Crockford, RailsConf 2009
GNU	"g-noo" (hard G, one syllable)	GNU Project official
Linux	"LIN-ux" (short i, schwa)	Linus Torvalds himself
LaTeX	"lay-tek" (or "lah-tek")	Leslie Lamport, official
Django	"JANG-go" (silent D)	Django FAQ
Vue	"view" (one syllable)	Evan You, Vue docs
Vite	"veet" (French for quick)	Vite docs
Knative	"KAY-native" (the K is voiced)	Knative docs
etcd	"et-cee-dee" (et-cetera-distributed)	etcd FAQ

Every dictionary entry includes a source_url. Run say-it --why <word> to see it.

Install (macOS)

The "Try it in 30 seconds" block above has the full install. ./install.sh drops:

• the CLI at ~/.local/bin/say-it,
• the pronunciation dictionary at ~/.local/share/say-it/pronunciations.tsv,
• if you use Claude Code, a pronounce-word skill at ~/.claude/skills/pronounce-word/ so any "how do you say X?" prompt to your AI gets answered with audio instead of IPA.

Make sure ~/.local/bin is on your $PATH. Linux also works — install espeak-ng (sudo apt install espeak-ng / brew install espeak-ng). Windows: WSL or git-bash + PowerShell. Or skip install entirely with the browser version at pronounce.renlab.ai.

Usage

say-it kubectl                    # primary × 3, then "or: <alt>" for each alternate
say-it --solo kubectl             # primary only — silence the "or:" tail
say-it --alt GIF                  # focus on the first alternate
say-it --alt 2 GUI                # focus on the Nth alternate (1-indexed)
say-it --all SQL                  # primary AND every alternate, each repeated
say-it --no-dict kubectl          # bypass the dictionary entirely
say-it --why JSON                 # show IPA, source URL, category, confidence
say-it list                       # every word in the dictionary
say-it search redis               # grep the dictionary (case-insensitive)

say-it -n 5 Pydantic              # 5 repetitions instead of 3
say-it -r 130 Knative             # slower (130 wpm; default is 175)
say-it -o /tmp/word.aiff Postgres # save to file instead of playing
say-it --list                     # all macOS voices

The default voice is Samantha (General American). Pass -v <voice> for any other macOS voice — but the dictionary is GenAm-only, by design.

Claude Code integration

You:    kubectl 怎么读？
Claude: 🔊 (plays "koob-control" three times)
        /ˈkuːb kənˌtroʊl/ — "KOOB-control". Kelsey Hightower says it
        this way (KubeCon talk). "Cube-cuddle" is an alternate —
        try `say-it --alt kubectl` to hear it.

Once installed, the pronounce-word skill auto-triggers on:

• X 怎么读 / X 怎么发音 / 读一下 X
• how do you pronounce X / pronounce X / how do you say X

Your AI replies with sound, not just a phonetic guess. Skill file: skills/pronounce-word/SKILL.md.

VS Code extension

Open VSX Version Open VSX Downloads

Hover over any tech word in any file — see the IPA, hear the pronunciation. Same 1580-entry dictionary as the CLI, JSON-bundled at build (zero runtime parse cost).

# Cursor / VSCodium / Zed / Gitpod / Theia / code-server (Open VSX)
code --install-extension sayit.pronounce
# or the listing: https://open-vsx.org/extension/sayit/pronounce

Now live on Microsoft Marketplace too: ext install sayit.pronounce in VS Code. See marketplace listing.

• Hover over kubectl, YAML, Ghostty, wagmi… → tooltip with IPA + 🔊 Play + ★ Star link.
• ⌘⇧' — speak selection.
• Status bar 🔊 sayit — click to speak the current selection.
• Welcome walkthrough — 4-step onboarding on first install.
• Pronounce: Search dictionary… — fuzzy-find all 1580 entries.

Source: integrations/vscode/. Cross-platform as of v0.3 — macOS say, Linux espeak-ng, Windows PowerShell.

Chrome / Edge / Brave extension

Click any tech word on any webpage → popup with IPA + audio. Same 1580-entry dictionary; same Web Speech API as pronounce.renlab.ai. Sideload only for now (not yet on Chrome Web Store).

Download pronounce-chrome-0.1.0.zip from the latest release → unzip → chrome://extensions/ → Developer mode → Load unpacked.

Source: integrations/chrome/.

How the dictionary works

data/pronunciations.tsv is the single source of truth — tab-separated, 1580 entries, covering:

• Cloud / DevOps: kubectl, nginx, Kubernetes, helm, Istio, Envoy, Prometheus, Grafana, Terraform, Argo, Knative, etcd, containerd, runc, Podman, ...
• Languages / Frameworks: Django, Vue, Vite, Pydantic, Bun, Deno, Hugo, Hono, Caddy, Svelte, Astro, Pinia, ...
• Databases: PostgreSQL, Postgres, SQLite, MySQL, MongoDB, Cassandra, Redis, Ceph, ScyllaDB, ClickHouse, DuckDB, ...
• CS jargon / acronyms: GIF, JSON, SQL, GUI, GNU, char, regex, sudo, tmux, chmod, WYSIWYG, ASCII, enum, NaN, SaaS, PaaS, ...
• Distros / tools: Linux, Debian, Ubuntu, Arch, Nix, LaTeX, TeX, emacs, zsh, ...

Each entry has 10 columns: word | ipa | phon_us | alt_ipa | alt_phon_us | source_url | source_label | category | confidence | notes. The phon_us column is Apple's Speech Synthesis phoneme set, injected into say via [[inpt PHON]]…[[inpt TEXT]]. This is what gives the intended reading rather than whatever the TTS would have inferred from the letters.

Local override: drop a ~/.config/say-it/pronunciations.local.tsv and it takes precedence.

What works today

• ✅ macOS — any word, via the built-in say engine. Zero dependencies.
• ✅ 993 project / product / jargon entries with cited sources.
• ✅ Audible multi-reading awareness — contested words audibly chain alternates with "or:".
• ✅ --alt [N], --all, --solo, --why, --json, --md, --no-dict, list, search, quiz, repl, stream, doctor, export, benchmark, badge, cheatsheet.
• ✅ Claude Code skill + MCP server for AI-side pronunciation questions.
• ✅ Browser PWA — installable, offline-capable, instant search, voice-mic search, interactive quiz.
• ✅ Editor integrations — Raycast, Alfred, VS Code, Cursor, Codex, Continue.
• ✅ 🌐 Live site — pronounce.renlab.ai (every word browsable, audio, source citation) + /zh.html (Chinese landing).

What's coming

See DESIGN.md for the architecture.

• 🪟 Windows support via PowerShell + System.Speech.SpeechSynthesizer, same CLI flags.
• ☁️ Cloud TTS (opt-in ElevenLabs / OpenAI) for the names native TTS still mangles.
• 🐧 Linux backend (espeak-ng, then cloud).
• 🔄 say-it update to pull the latest dictionary without reinstalling.
• 📚 Anki export for vocabulary drills.

Contributing

Two things we want most:

1. Pronunciation entries. Open a PR adding a row to data/pronunciations.tsv. Required columns: word, ipa, phon_us. Highly preferred: source_url (creator interview, conf talk, official FAQ — anything verifiable). Contested readings are welcome; put the rival in alt_* columns and we'll wire --alt through.
2. Non-Mac backends. Windows and Linux are top priority. See DESIGN.md §Backends.

Keep it tiny. Keep it dep-free where possible. Keep the defaults opinionated (3 reps, GenAm, Samantha voice).

⭐ Support — start with a star

The dictionary is free and MIT. The single highest-leverage thing you can do is star the repo — it's the signal that pulls in more contributors, more PRs, more creator-clarified entries.

• ⭐ Star on GitHub → — one click, no signup, biggest effect.

Optional, if it's saved you real standup pain:

• ☕ Coffee on Ko-fi — pays for one new entry per cup.
• 💚 Sponsor on GitHub — recurring tier (pending Sponsors approval).

Dollars cover hosting (Vercel/Cloudflare/Open VSX), domain renewals, MiniMax narration credits for promo videos, and time to track down creator citations for new entries.

Contributors

Every entry, source upgrade, and skill fix counts. Open a PR — your face shows up here.

License

MIT — see LICENSE.

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IPA is a reference. Audio is a teacher.