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Fish Audio Tts

CommunityPopular
calesthio
fish-audio-tts

Generate expressive, multilingual narration with fish.audio (S1 / S2-generation models) and reuse cloned voices via reference_id. Use when the user prefers fish.audio/Fish Audio TTS, wants a specific playground voice model, or needs high-emotion voice-clone narration.

Overview

Publishercalesthio
RepositoryOpenMontage
Skill namefish-audio-tts
Stars
67K
Forks
8.5K
Bundled files
Instructions only
LicenseAGPL-3.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by calesthio on GitHub. Read the source before you install it.

Installation

Install the Fish Audio Tts AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/calesthio/OpenMontage/tree/main/.agents/skills/fish-audio-tts
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/calesthio/OpenMontage.git /tmp/OpenMontage
mkdir -p .claude/skills
cp -r /tmp/OpenMontage/.agents/skills/fish-audio-tts .claude/skills/fish-audio-tts
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Fish Audio Tts in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Fish Audio Tts on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Fish Audio Tts is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

fish.audio TTS

Requires FISH_AUDIO_API_KEY in .env (create one at https://fish.audio/go-api/api-keys/). Create voice models in the fish.audio playground and pass their id as reference_id to reuse a cloned voice.

Current API

Single synchronous call returning raw audio bytes:

text
POST https://api.fish.audio/v1/tts
Authorization: Bearer ${FISH_AUDIO_API_KEY}
Content-Type: application/json
model: <backend model>     # HTTP header selects the backend, e.g. s1

The backend model is chosen with the model HTTP header, not a body field. In OpenMontage this maps to the tool's model input.

Backend models

model is required — there is no default. Pass one of:

  • s2.1-pro — latest generation. Best quality: inline emotion tags, 80+ languages, multi-speaker. Hero narration.
  • s2.1-pro-free — promotional free access to s2.1-pro. Drafts, samples, and validation runs at $0 during the promo window only. Per the fish.audio announcement: free through August 31, 2026, subject to Fair Use, no SLA/latency guarantee, requests may be retained, and commercial use is restricted. Never route production or client narration through it.
  • s2-pro — first S2 generation. Stable high quality with emotion-tag support.
  • s1 — previous flagship. Kept for compatibility with existing integrations.

Billing is per UTF-8 byte of input text (not per character). CJK text and emoji cost 3-4x an ASCII character of the same visible length. Current list pricing: s1 / s2-pro / s2.1-pro = $15 per 1M bytes, s2.1-pro-free = $0 during the promo window only (the tool's estimate_cost() switches to the paid s2.1-pro rate after August 31, 2026). Verify current pricing at https://docs.fish.audio/developer-guide/models-pricing/pricing-and-rate-limits before large batches.

Inline emotion tags (S2 models only)

s2-pro / s2.1-pro / s2.1-pro-free interpret inline emotion tags embedded in the text:

  • Tags like [laugh], [whispers] change the delivery mid-sentence.
  • Example: "That's hilarious [laugh] but let me explain seriously."
  • s1 does not interpret emotion tags — they may be read out as plain text, so strip them when targeting s1.

Voice selection (reference_id)

  • Build or pick a voice in the fish.audio playground, then copy its model id.
  • Pass it as reference_id. The selector's generic voice_id is accepted as an alias when reference_id is absent.
  • Without a reference_id, fish.audio uses its default voice for the chosen model.

Inline on-the-fly cloning (uploading reference audio + text per request) is not supported by this tool — create a voice model in the playground first.

OpenMontage Usage

Generate with the TTS selector:

python
from tools.audio.tts_selector import TTSSelector

result = TTSSelector().execute({
    "preferred_provider": "fish_audio",
    "text": "Here's why compound interest quietly beats every get-rich-quick scheme.",
    "model": "s1",
    "reference_id": "<playground voice model id>",
    "output_path": "projects/my-video/assets/audio/narration.mp3",
})

Or call the provider directly:

python
from tools.audio.fish_audio_tts import FishAudioTTS

result = FishAudioTTS().execute({
    "text": "Short sample line for approval.",
    "model": "s1",
    "reference_id": "<playground voice model id>",
    "output_path": "projects/my-video/assets/audio/fish_sample.mp3",
})

The provider writes the audio to output_path and returns data.output plus the resolved model and reference_id.

Quality & latency tuning

  • latency: normal (default, best quality), balanced (a little faster), or low (fastest, slight quality cost).
  • normalize: default true; keep it on so numbers, dates, and currency read naturally.
  • prosody: optional { "speed": 1.0, "volume": 0 } to nudge pace/loudness.
  • mp3_bitrate: 128 is a good default; raise to 192 for music-bed-heavy mixes.
  • temperature: default 0.7. Raise toward 0.9 for more expressive reads (recommended when leaning on emotion tags); lower for a steadier, more predictable delivery.
  • top_p / repetition_penalty: usually leave at the defaults (0.7 / 1.2).

Recommended Workflow

  1. Generate a 10-15 second sample with the chosen model + reference_id before a full paid narration.
  2. Ask the user to approve voice naturalness, emotion, and pace.
  3. Generate the full narration only after approval.
  4. For batch/localization variants where cost matters, prototype on s2.1-pro-free (promo-window $0; non-commercial drafts only) and upgrade the final to s2.1-pro.

Troubleshooting

  • 401 Unauthorized: wrong or missing FISH_AUDIO_API_KEY.
  • 402 / payment errors: account credit exhausted.
  • 404 / bad voice: the reference_id is wrong or not owned by this account.
  • Empty/short audio: check that text is non-empty and normalize is not stripping the whole input.

Safety

Never print or write the API key to logs, metadata, patches, or project artifacts. .env.example should contain only empty variable names.

Frequently asked questions

What does the Fish Audio Tts AI skill do?

Generate expressive, multilingual narration with fish.audio (S1 / S2-generation models) and reuse cloned voices via reference_id. Use when the user prefers fish.audio/Fish Audio TTS, wants a specific playground voice model, or needs high-emotion voice-clone narration.

Why use Fish Audio Tts on TypingMind?

Because you install it once and use it with any model. Fish Audio Tts is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Fish Audio Tts in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/calesthio/OpenMontage/tree/main/.agents/skills/fish-audio-tts. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Fish Audio Tts?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Fish Audio Tts?

As many as you like. As long as a model supports skills, you can use Fish Audio Tts with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Fish Audio Tts AI skill free?

Yes. It is published on GitHub by calesthio under the AGPL-3.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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