ElevenLabs vs Bark — Comparison

ElevenLabs

Create lifelike speech with our AI voice generator and voice agents platform. Access 5,000+ voices in 70+ languages with secure APIs and SDKs.

Based on the limited social mentions provided, users appear to view ElevenLabs as a premium AI voice/audio tool but express significant concern about its pricing at $99/month. The primary complaint centers around the cost being perceived as "expensive" and users actively seeking free alternatives to avoid what they consider "overpaying." The repeated YouTube mentions suggest the tool has visibility and usage, but the lack of detailed reviews makes it difficult to assess user satisfaction with the actual functionality. Overall, ElevenLabs seems to have a reputation as a capable but overpriced solution in the AI tools market.

Bark

🔊 Text-Prompted Generative Audio Model. Contribute to suno-ai/bark development by creating an account on GitHub.

Bark is a transformer-based text-to-audio model created by Suno. Bark can generate highly realistic, multilingual speech as well as other audio - including music, background noise and simple sound effects. The model can also produce nonverbal communications like laughing, sighing and crying. To support the research community, we are providing access to pretrained model checkpoints, which are ready for inference and available for commercial use. Bark was developed for research purposes. It is not a conventional text-to-speech model but instead a fully generative text-to-audio model, which can deviate in unexpected ways from provided prompts. Suno does not take responsibility for any output generated. Use at your own risk, and please act responsibly. ©️ Bark is now licensed under the MIT License, meaning it's now available for commercial use! ⚡ 2x speed-up on GPU. 10x speed-up on CPU. We also added an option for a smaller version of Bark, which offers additional speed-up with the trade-off of slightly lower quality. 💬 Growing community support and access to new features here: 💾 You can now use Bark with GPUs that have low VRAM ( 4GB). Bark tries to match the tone, pitch, emotion and prosody of a given preset, but does not currently support custom voice cloning. The model also attempts to preserve music, ambient noise, etc. Bark is available in the 🤗 Transformers library from version 4.31.0 onwards, requiring minimal dependencies and additional packages. Steps to get started: Bark has been tested and works on both CPU and GPU (pytorch 2.0+, CUDA 11.7 and CUDA 12.0). On enterprise GPUs and PyTorch nightly, Bark can generate audio in roughly real-time. On older GPUs, default colab, or CPU, inference time might be significantly slower. For older GPUs or CPU you might want to consider using smaller models. Details can be found in out tutorial sections here. The full version of Bark requires around 12GB of VRAM to hold everything on GPU at the same time. To use a smaller version of the models, which should fit into 8GB VRAM, set the environment flag SUNO_USE_SMALL_MODELS=True. If you don't have hardware available or if you want to play with bigger versions of our models, you can also sign up for early access to our model playground here. Below is a list of some known non-speech sounds, but we are finding more every day. Please let us know if you find patterns that work particularly well on Discord! Bark is licensed under the MIT License. We’re developing a playground for our models, including Bark. If you are interested, you can sign up for early access here. 🔊 Text-Prompted Generative Audio Model There was an error while loading. Please reload this page. There was an error while loading. Please reload this page.

ElevenLabs

Bark

ElevenLabs

Bark

ElevenLabs

Bark