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DATASHEET // XTTS-V2

XTTS v2 (Coqui)

Multilingual voice cloning in 6 seconds.

OPEN SOURCE4–6 GB VRAMRuns locally
Actually FreeNo SignupOpen SourceWatermark-FreeHobbyist-OKAPI
Visit XTTS v2 (Coqui)UPDATED 2025-09-30 · DIRECT LINK
github.com/coqui-ai/TTS
XTTS v2 (Coqui) — preview image

HARDWARE REQUIREMENTS //

Runs locally · Entry GPU (6–8 GB)

4–6 GB VRAM
Min VRAM
4 GB
Rec. VRAM
6 GB
Min RAM
8 GB
Rec. RAM
16 GB
Disk
4 GB
GPU class
Entry GPU
11.7+Apple Silicon ✓CPU-CapableQuant: FP16

Real-time on 4 GB+. Apple Silicon MPS works.

[ EDITORIAL PICK ]

Why we recommend XTTS v2 (Coqui)

DERIVED FROM METADATA — NOT SPONSORED
  • Open source

    Source is public — you can audit it, fork it, and you'll never lose access to your workflows if XTTS v2 (Coqui) the company changes direction.

  • Runs on 4 GB

    Fits on entry-level cards (GTX 1660, RTX 3050, RTX 4060). Rare for this category.

  • Apple Silicon

    Native Metal / MPS support — runs on M-series Macs without CUDA gymnastics.

  • Beginner-friendly

    You don't need to read a paper before getting your first result — sensible defaults and a quick install.

[ EVIDENCE NOTE ]

Documentation-led datasheet

This page summarizes upstream documentation, release information, and editorially reviewed catalogue fields. It is not presented as a hands-on benchmark. Verify changing requirements at the official project; report stale data through our corrections channel.

AT-A-GLANCE SIGNALS //

DERIVED FROM THIS PAGE'S DATA
  • Install difficulty
    Easy

    Runs CPU-only — no CUDA / driver gymnastics required.

  • Hardware comfort
    Entry-level

    Fits on 4 GB cards — GTX 1660 / RTX 3050 territory.

  • Ecosystem
    Strong devkit

    Open-source AND ships an API — easy to integrate, possible to host yourself.

  • Verification
    Stale

    289 days since the last refresh — treat hardware numbers as a floor, not a ceiling.

[ COMMUNITY GUIDES & WORKFLOWS ]

Tutorials & deep-dives for XTTS v2 (Coqui)

Hand-picked from YouTube, Reddit, GitHub, and the wider web. Each link goes straight to the source — we don't intercept or rewrite anything.

[ MORE IN THIS NICHE ]

Other audio & speech generation tools we rate

Three picks across different tradeoffs — so you don't end up with three near-clones of XTTS v2 (Coqui).

What is XTTS v2 (Coqui)?

Coqui's XTTS v2 is the production TTS workhorse: clone a voice from 6 seconds of audio, generate speech in 17 languages, run on a 4 GB GPU. Coqui the company is gone but the model lives on under a permissive licence, and it's the backbone of most current OSS voice apps.

Pros & cons

✓ PROS

  • 6-second voice cloning that actually works
  • 17 languages including cross-lingual cloning
  • Real-time on a single mid-range GPU
  • Used as the engine inside many higher-level apps

– CONS

  • Coqui (the company) shut down — community-maintained from here
  • Licence is permissive but not OSI-approved; check before commercial use

What's actually free?

Coqui Public Model Licence — free for personal & commercial use.

✓ Actually FreeNo SignupOpen SourceWatermark-Free

Alternatives

Bark

Suno's expressive transformer-based TTS.

OPEN SOURCE8–12 GB VRAM
VRAM fit8–12 GB

Tortoise TTS

Slow, but the quality is worth the wait.

OPEN SOURCE4–8 GB VRAM
VRAM fit4–8 GB

F5-TTS

Zero-shot voice cloning TTS — 15 s of audio is enough.

OPEN SOURCE8–12 GB VRAM
VRAM fit8–12 GB