Bark
Suno's expressive transformer-based TTS.
HARDWARE REQUIREMENTS //
Runs locally · Entry GPU (6–8 GB)
CPU works but slow (5–10× realtime). 8 GB VRAM comfortable; 12 GB for batch.
Why we recommend Bark
- 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.
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 difficultyEasy
Runs CPU-only — no CUDA / driver gymnastics required.
- Hardware comfortMainstream
Needs 8 GB minimum — RTX 3060 12GB or 4070 territory.
- EcosystemStrong devkit
Open-source AND ships an API — easy to integrate, possible to host yourself.
- VerificationStale
336 days since the last refresh — treat hardware numbers as a floor, not a ceiling.
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.
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.