Maya (Maya Research)
Open-source emotionally intelligent voice AI built for the 90% of the world mainstream TTS ignores.
Overview
Maya-1 is a 3B-parameter open-source TTS model from Bengaluru's Maya Research, built on a Llama-style transformer with 20+ emotion tags and natural-language voice design. Released Apache 2.0 in Nov 2025, it runs on a single 16GB GPU and ranks near #6 among open-weight models on Artificial Analysis.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 11 Jul 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
- Full model access
- Commercial use allowed
- No vendor lock-in
- No self-hosting needed
- Playground + docs
Use cases
What you can produce with Maya (Maya Research)
- Emotionally expressive TTS audio at 24 kHz with sub-100 ms latency
- 20-plus emotion-tagged voice outputs (laugh, cry, whisper, angry, gasp, giggle, sigh, and more)
- Zero-shot voice generation from natural-language persona descriptions (age, accent, tone, character)
- Self-hosted inference stack compatible with vLLM, llama.cpp GGUF, and ComfyUI nodes
- Open-weight Apache 2.0 model weights downloadable from Hugging Face (maya-research/maya1)
- Hosted web studio demo at mayaresearch.ai/studio for no-code voice previewing
- API access via console.mayaresearch.ai for production integration
ASEAN Perspective
Maya (Maya Research) in Southeast Asia
Maya Research explicitly targets Southeast Asia as a key market alongside India and MENA, and the consumer app has already crossed 3 million installs across these three regions combined. The company's mission — building voice AI for the 90% of the world that mainstream English-first systems ignore — maps directly onto ASEAN's linguistic diversity, where hundreds of regional languages and accents are underserved. Current open-source weights cover English; Hindi and Telugu are the next confirmed languages, with broader Indic and Asian language support planned for mid-2026. ASEAN developers can self-host Maya-1 today for English-language voice apps at zero per-call cost, making it a strong candidate for regional accessibility and low-bandwidth use cases.
Maya-1 is a genuinely impressive technical feat from a two-person Indian startup that trained a globally competitive open-weight TTS model on free cloud credits alone. At launch (November 2025) it ranked #2 among open-weight models on the Artificial Analysis Speech Arena; the field has crowded in since, and by mid-2026 it sits closer to #6 — its 1,051 Quality Elo hasn't moved, but rivals have caught up. The 20+ emotion tags and zero-shot natural-language voice design still stand out. For self-hosters, Apache 2.0 means no per-character fees and no vendor lock-in, which matters in cost-sensitive ASEAN deployments. Caveats: the open weights cover English with multi-accent support only — Hindi and Telugu are still in development — self-hosting needs a 16GB-VRAM GPU, and hosted API pricing at console.mayaresearch.ai isn't publicly documented.
What people say
Two 23-year-old NYU graduates from rural Andhra Pradesh built a text-to-speech model on free cloud credits that briefly out-ranked entries from labs with nine-figure budgets. Maya-1, released under Apache 2.0 in November 2025, hit #2 among open-weight models on the Artificial Analysis Speech Arena at launch — a genuine result, not a cherry-picked benchmark.
That rank hasn't held: by mid-2026 Maya-1 sits closer to #6 on the same leaderboard, even though its own Quality Elo score (1,051) hasn't changed. The field simply got more crowded, which is a compliment to the category Maya helped kick off as much as a knock on the model. What hasn't changed is the pitch — 20-plus inline emotion tags (whisper, laugh, gasp, cry), zero-shot voice design from a plain-language description like "warm 40-year-old male, slight Southern Indian accent," and sub-100ms latency on a single 16GB GPU.
Traction is real for a company this young: 440,000+ Hugging Face downloads and a companion consumer app past 3 million installs across India, Southeast Asia, and MENA, on a $1.9M seed round led by South Park Commons. The open-weight release is English-only with multi-accent support; Hindi and Telugu are still in development, and the hosted API at console.mayaresearch.ai has no public pricing page. Self-hosting needs a 16GB-VRAM GPU, which rules out casual tinkering on a laptop.
Best read as a genuinely strong open-weight option for cost-sensitive ASEAN builders today, with the multilingual roadmap the thing to watch through the rest of 2026.
Summary of public user & expert reviews, compiled by RECATOOLS.
Notable facts
- Maya Research built the entire Maya-1 model without venture capital, using only free cloud credits from AWS, Google, and Microsoft Azure.
- Both co-founders are 23-year-old NYU graduates from rural Andhra Pradesh — Dheemanth Reddy from Vempalli and Bharath Kumar Kakumani from Ongole.
- Maya Research is the only Indian company listed on the Artificial Analysis Speech Arena leaderboard as of 2025.
- Maya-1 supports over 20 inline emotion tags that physically alter the audio waveform — changing pitch, breath timing, and pacing — rather than just applying a filter on top.
Frequently asked questions
About this listing
This entry was compiled from publicly available data including Maya (Maya Research)'s official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Maya (Maya Research) unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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