cd /news/ai-tools/introducing-voice-finder-a-new-tool-… · home topics ai-tools article
[ARTICLE · art-13441] src=together.ai pub= topic=ai-tools verified=true sentiment=↑ positive

Introducing voice finder — a new tool to quickly find the right voice for your app from over 600+ voices

Together AI launched Voice Finder, a search tool that indexes over 600 voices across multiple text-to-speech models to help developers quickly select the right voice for their applications. The tool allows users to search by natural-language prompts or upload audio samples, then compare ranked recommendations filtered by attributes like pitch, accent, and emotion. The release aims to reduce the manual effort of voice selection for voice agents, which Together AI says is critical for matching a voice to specific use cases such as healthcare, fintech, or entertainment.

read2 min publishedMay 12, 2026

Voice finder**:** Search 600+ voices across MiniMax, Cartesia, Deepgram, Rime, and other models available through Together AI.Search by prompt or audio: Describe the voice you need, or upload a short voice sample to find similar voices with playable recommendations.Model-aware metadata: Each voice is tagged across 15+ attributes, including pitch, accent, language, age, emotion, and speaking style.

Choosing the right voice for a voice agent is still too manual. Provider catalogs can include dozens or hundreds of voices, and the documentation rarely tells you which one fits a fintech support agent, a meditation guide, or a game show host.

Voice finder gives developers a faster way to search the Together AI voice catalog. Type in what you are building or upload a short audio sample of the voice you have in mind, then compare ranked recommendations, listen inline, and filter by the attributes that matter for your use case.

How it works

Voice finder indexes 600+ voices across 10 TTS models on Together AI. Each voice is playable directly in the tool.

Behind the ranking layer, an omni-model has listened to every voice and generated structured metadata across 15+ dimensions, including pitch, gender, accent, language, age, emotion, and speaking style. That metadata powers both natural-language search and manual filtering.

A few example searches:

  • “a calm female voice for a meditation app”
  • “a confident voice for a fintech support agent”
  • “an energetic host for a game show”
  • “a warm bilingual voice for customer service”

The goal is simple: get from a use case to a short list of voices quickly enough to keep building.

Why this matters for voice agents

Voice agents depend on more than model quality. The voice has to fit the product, the customer, and the moment. A healthcare intake agent, a restaurant ordering agent, and an entertainment companion should not sound interchangeable.

Together AI gives teams a single platform for building real-time voice agents across STT, LLM, and TTS. The full pipeline runs co-located on one cloud, holding end-to-end latency under 500ms, fast enough for real-time turn-taking. Voice Finder makes the model-selection step easier by giving developers a faster way to explore the voices available across that stack.

Get started

→ Try Voice finder at[ findtherightvoice.com](https://findtherightvoice.com) → Explore the

[Together AI Voice Platform](https://www.together.ai/solutions/voice)

→ Read the

voice agent documentation → Contact Sales for dedicated endpoints and production deployment

── more in #ai-tools 4 stories · sorted by recency
── more on @together ai 3 stories trending now
sponsored brought to you by zahid.host 4,200+ EU-deployed projects
reading about agents? ship yours in a single git push.

Run your AI side-project on zahid.host

EU-based hosting, git-push deploys, automatic HTTPS, no cold starts. Free tier with a custom domain — perfect for shipping the agent you just read about.

$git push zahid main
Live at https://your-agent.zahid.host
Get free account → Pricing
from €0/mo · no card required
LIVE [news/introducing-voice-fi…] indexed:0 read:2min 2026-05-12 ·