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DATASHEET // BARK

Bark

Suno's expressive transformer-based TTS.

OPEN SOURCE8–12 GB VRAMRuns locally
Actually FreeNo SignupOpen SourceWatermark-FreeHobbyist-OKAPI
Visit BarkUPDATED 2025-08-14 · DIRECT LINK
github.com/suno-ai/bark
Bark — preview image

HARDWARE REQUIREMENTS //

Runs locally · Entry GPU (6–8 GB)

8–12 GB VRAM
Min VRAM
8 GB
Rec. VRAM
12 GB
Min RAM
16 GB
Rec. RAM
16 GB
Disk
8 GB
GPU class
Entry GPU
11.7+Apple Silicon ✓CPU-CapableQuant: FP16

CPU works but slow (5–10× realtime). 8 GB VRAM comfortable; 12 GB for batch.

[ EDITORIAL PICK ]

Why we recommend Bark

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 Bark the company changes direction.

  • Runs on 8 GB

    Comfortable on a mid-range consumer card — no need to remortgage for an A100.

  • 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
    Mainstream

    Needs 8 GB minimum — RTX 3060 12GB or 4070 territory.

  • Ecosystem
    Strong devkit

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

  • Verification
    Stale

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

[ COMMUNITY GUIDES & WORKFLOWS ]

Tutorials & deep-dives for Bark

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 Bark.

What is Bark?

Bark is a fully generative text-to-audio model from Suno: not just speech but laughter, sighs, music, and background noises. Wholly different shape from VITS/Tortoise — outputs are creative and unpredictable, which is its charm and its limitation.

Pros & cons

✓ PROS

  • Genuinely expressive — emotion, laughter, ambient sounds in one model
  • Supports 100+ languages out of the box
  • Multi-speaker presets for consistent voices

– CONS

  • Non-deterministic — same prompt can produce very different takes
  • Can hallucinate words or skip text on longer inputs
  • Slower than VITS-based TTS at the same quality tier

What's actually free?

MIT-licensed; full weights publicly released.

✓ Actually FreeNo SignupOpen SourceWatermark-Free

Alternatives

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