/gemini-tts
Render text to mp3 via Google Gemini Flash TTS. Free-tier eligible (1500 req/day). Use for video narration, demo voiceovers, audio notes. Parallels openai-tts; default for make-viral-video.
Claude Code
$ npx -y skills add sonichi/sutando --skill gemini-tts --agent claude-code
Codex
$ npx skills add sonichi/sutando --skill gemini-tts -a codex -y
Cursor
$ npx skills add sonichi/sutando --skill gemini-tts -a cursor -y
Gemini CLI
$ npx skills add sonichi/sutando --skill gemini-tts -a gemini-cli -y
GitHub Copilot
$ npx skills add sonichi/sutando --skill gemini-tts -a github-copilot -y
OpenCode
$ npx skills add sonichi/sutando --skill gemini-tts -a opencode -y
Windsurf
$ npx skills add sonichi/sutando --skill gemini-tts -a windsurf -y
SKILL.md
gemini-tts.SKILL.mdname: gemini-tts
description: "Render text to mp3 via Google Gemini Flash TTS. Free-tier eligible (1500 req/day). Use for video narration, demo voiceovers, audio notes. Parallels openai-tts; default for make-viral-video."
user-invocable: true
Gemini TTS
Synthesize speech via Google's `gemini-2.5-flash-preview-tts` (or `-pro-tts` / `-lite-preview-tts` per env override). Reads `GEMINI_API_KEY` from `.env`.
This is offline synthesis — distinct from voice-agent's bidirectional Gemini Live audio. Same model family, different surface (POST text → get audio bytes back, no streaming).
**Usage**: `/gemini-tts [text]`
ARGUMENTS: $ARGUMENTS
Voices
`Aoede` (default — alto, neutral), `Charon` (baritone, news-anchor), `Kore` (mid, expressive), `Puck` (high, conversational). Per Lucy's 2026-05-09 testing: Aoede is the closest match to OpenAI's `sage`.
Audio tags for expression
Inline bracket tags like `[whispers]`, `[excitedly]`, `[slowly]` are interpreted as stylistic direction, not spoken literally. Empirically verified against `gemini-2.5-flash-preview-tts` (per PR #646 comment): `[whispers] hello` → 1.05s audio; `hello` alone → 1.01s. If the tag were spoken literally as 8 words, the clip would be ~5× longer.
bash "$SKILL_DIR/scripts/synthesize.sh" -- "[whispers] Pull request 691 has landed."
Model selection
Default: `gemini-2.5-flash-preview-tts` (free tier, 1500 req/day, $0 within quota).
Override via `GEMINI_TTS_MODEL` env var:
- `gemini-2.5-pro-tts` — paid, higher fidelity
- `gemini-2.5-flash-lite-preview-tts` — preview, faster
- `gemini-3.1-flash-tts-preview` — preview
Examples
bash "$SKILL_DIR/scripts/synthesize.sh" -- "Hello, this is Sutando."
bash "$SKILL_DIR/scripts/synthesize.sh" --voice Charon --out /tmp/intro.mp3 -- "Hi."
GEMINI_TTS_MODEL=gemini-2.5-pro-tts bash "$SKILL_DIR/scripts/synthesize.sh" -- "High-fidelity narration."
Default output path: `results/gemini-tts-{epoch}.mp3`.
Cost
Free tier: $0 within 1500 req/day quota. For our cadence (a few demos a day), stays free indefinitely. Paid (Flash): $0.50 / 1M input tokens + $10.00 / 1M output tokens.
Compared to OpenAI TTS (`gpt-4o-mini-tts`) at ~$0.02 per 60s: Gemini Flash is free-equivalent for typical demo workloads.
When to fall back to openai-tts
The `make-viral-video` skill auto-falls-back to OpenAI TTS when:
- Gemini API returns 4xx/5xx
- Gemini quota hit (429)
- `GEMINI_API_KEY` missing
- `TTS_PROVIDER=OPENAI` env override set
If Invoked As A Slash Command
If ARGUMENTS is empty, ask the user for the text. Otherwise:
bash "$SKILL_DIR/scripts/synthesize.sh" -- "$ARGUMENTS"
Read more
name: gemini-tts description: "Render text to mp3 via Google Gemini Flash TTS. Free-tier eligible (1500 req/day). Use for video narration, demo voiceovers, audio notes. Parallels openai-tts; default for make-viral-video." user-invocable: true
Gemini TTS
Synthesize speech via Google's `gemini-2.5-flash-preview-tts` (or `-pro-tts` / `-lite-preview-tts` per env override). Reads `GEMINI_API_KEY` from `.env`.
This is offline synthesis — distinct from voice-agent's bidirectional Gemini Live audio. Same model family, different surface (POST text → get audio bytes back, no streaming).
**Usage**: `/gemini-tts [text]`
ARGUMENTS: $ARGUMENTS
Voices
`Aoede` (default — alto, neutral), `Charon` (baritone, news-anchor), `Kore` (mid, expressive), `Puck` (high, conversational). Per Lucy's 2026-05-09 testing: Aoede is the closest match to OpenAI's `sage`.
Audio tags for expression
Inline bracket tags like `[whispers]`, `[excitedly]`, `[slowly]` are interpreted as stylistic direction, not spoken literally. Empirically verified against `gemini-2.5-flash-preview-tts` (per PR #646 comment): `[whispers] hello` → 1.05s audio; `hello` alone → 1.01s. If the tag were spoken literally as 8 words, the clip would be ~5× longer.
bash "$SKILL_DIR/scripts/synthesize.sh" -- "[whispers] Pull request 691 has landed."
Model selection
Default: `gemini-2.5-flash-preview-tts` (free tier, 1500 req/day, $0 within quota).
Override via `GEMINI_TTS_MODEL` env var:
- `gemini-2.5-pro-tts` — paid, higher fidelity
- `gemini-2.5-flash-lite-preview-tts` — preview, faster
- `gemini-3.1-flash-tts-preview` — preview
Examples
bash "$SKILL_DIR/scripts/synthesize.sh" -- "Hello, this is Sutando." bash "$SKILL_DIR/scripts/synthesize.sh" --voice Charon --out /tmp/intro.mp3 -- "Hi." GEMINI_TTS_MODEL=gemini-2.5-pro-tts bash "$SKILL_DIR/scripts/synthesize.sh" -- "High-fidelity narration."
Default output path: `results/gemini-tts-{epoch}.mp3`.
Cost
Free tier: $0 within 1500 req/day quota. For our cadence (a few demos a day), stays free indefinitely. Paid (Flash): $0.50 / 1M input tokens + $10.00 / 1M output tokens.
Compared to OpenAI TTS (`gpt-4o-mini-tts`) at ~$0.02 per 60s: Gemini Flash is free-equivalent for typical demo workloads.
When to fall back to openai-tts
The `make-viral-video` skill auto-falls-back to OpenAI TTS when:
- Gemini API returns 4xx/5xx
- Gemini quota hit (429)
- `GEMINI_API_KEY` missing
- `TTS_PROVIDER=OPENAI` env override set
If Invoked As A Slash Command
If ARGUMENTS is empty, ask the user for the text. Otherwise:
bash "$SKILL_DIR/scripts/synthesize.sh" -- "$ARGUMENTS"
My AI Stand — Realtime by Day, Rewriting Itself by Night. Summon my AI superpower. Voice, vision, screen, meetings, calls when I'm engaged. Learns my patterns, ships its own code when I'm not. Runs across my Macs, interacts with people & their Stands.
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Questions about gemini-tts.
- Which coding agents can use gemini-tts?
- gemini-tts installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.

