Bark

Premium

Expressive AI Speech with Emotions and Sound Effects

Slow Speed
Very Good Quality
No Cloning
13 Languages

About Bark

Bark is a transformer-based text-to-audio model that can generate highly expressive speech with emotions, laughter, sighs, and other non-verbal sounds. Unlike traditional TTS, Bark understands context and can produce speech that sounds genuinely expressive and human-like. It supports multiple languages and can even generate music and sound effects.

Key Features

Emotional Expression

Generate speech with laughter, sighs, gasps, and genuine emotions.

Emotion Markers

Use [laughter], [sighs], CAPS for emphasis, and ... for hesitation.

Multilingual

Supports 13+ languages with natural accents and pronunciation.

Music & Effects

Can generate simple music and environmental sounds.

Speaker Presets

Multiple pre-trained speaker voices with different styles.

Open Source

MIT licensed with full commercial use rights.

Use Cases

Character Dialogue Animated Content Audiobook Narration Game Voice Acting Creative Projects Expressive Assistants

Bark Voices

View All 130
Bark Chinese Speaker 0
ZH
Bark Chinese Speaker 1
ZH
Bark Chinese Speaker 2
ZH
Bark Chinese Speaker 3
ZH
Bark Chinese Speaker 4
ZH
Bark Chinese Speaker 5
ZH
Bark Chinese Speaker 6
ZH
Bark Chinese Speaker 7
ZH
Bark Chinese Speaker 8
ZH
Bark Chinese Speaker 9
ZH
Bark English Speaker 0
EN
Bark English Speaker 1
EN

How to Use Bark

  1. 1

    Sign up free and open the demo

    Create a free TextToSpeechAI account to claim your starter credits, or use the no-signup demo to try Bark right away. Free credits are enough to generate several expressive Bark clips before you upgrade.

  2. 2

    Pick a Bark voice

    Open the voice library and select a Bark speaker preset that matches the tone you want. Bark voices are tagged as the premium tier (25 credits per 1000 characters) and are tuned for emotional, character-style narration.

  3. 3

    Enter text with emotion markers

    Type your script and embed Bark emotion markers inline: [laughter] for laughs, [sighs] for sighs, [gasps] for gasps, ... for a pause, and CAPS for emphasis. For example: "Oh wow! [laughter] This is AMAZING... I can't believe it!"

  4. 4

    Generate the audio

    Click Generate and Bark renders your text into expressive speech, turning each marker into the matching sound. Generation is slower than lightweight engines because of Bark's transformer model, so allow a few extra seconds per sentence.

  5. 5

    Download or use the API

    Preview the result, then download it as MP3, WAV, or OGG. To automate Bark in your own app, call the TextToSpeechAI API with a Bark voice and the same marker-rich text to get back the expressive audio.

Bark API

Generate speech programmatically using the TextToSpeechAI REST API.

curl -X POST "https://api.texttospeechai.com/v1/generate/" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "text": "Oh wow! [laughter] This is amazing... I just LOVE how expressive this sounds!",
    "voice": "bark-zh_0"
  }'

Frequently Asked Questions

Bark is a transformer-based text-to-audio model created by Suno. Unlike traditional TTS systems, Bark generates highly expressive speech with natural emotions, laughter, sighs, and other non-verbal sounds. It can even generate music and sound effects.

Yes, Bark is open-source under the MIT license, allowing free commercial use. On TextToSpeechAI, we charge 25 credits per 1000 characters due to the significant GPU resources required for generation.

Bark supports 13+ languages including English, German, Spanish, French, Hindi, Italian, Japanese, Korean, Polish, Portuguese, Russian, Turkish, and Chinese. Each language has natural pronunciation and accents.

Bark is slower than most TTS engines due to its autoregressive transformer architecture. A typical sentence takes 5-15 seconds to generate on GPU. The tradeoff is significantly more expressive and natural output.

Bark offers only limited voice cloning through "semantic prompts" and speaker presets, so it cannot reliably clone an arbitrary voice from a sample. If full voice cloning is your goal, use F5-TTS, StyleTTS2, OpenVoice, or Tortoise instead, all available on TextToSpeechAI.

Bark reads inline markers placed directly in your text and turns them into matching sounds. Use [laughter] for laughs, [sighs] for sighs, [gasps] for gasps, ... for hesitation or a pause, and CAPS for emphasis. Example: "Oh wow! [laughter] This is AMAZING... I can't believe it!"

Beyond plain speech, Bark can produce non-verbal sounds like laughter, sighs, gasps, throat clearing, and stutters, plus simple music and environmental effects. These are triggered with markers such as [laughter], [sighs], and [gasps] embedded in the text, which is what makes Bark feel more expressive than standard TTS.

Bark produces very good quality audio with natural expressiveness that rivals human speech for emotional content. The 24kHz output sounds professional, though pure speech quality is slightly below StyleTTS2.

Bark requires 8-12GB of VRAM depending on model size. The full model needs ~12GB, while smaller variants work with 8GB. CPU inference is extremely slow and not recommended.

Yes, Bark is MIT licensed, which permits unrestricted commercial use with no licensing fees. You can use Bark in products, services, and applications freely. On TextToSpeechAI you can try Bark free using your signup credits before paying for more.

Bark excels at expressive single-speaker speech with emotion markers like [laughter] and [sighs], while Dia is built for multi-speaker dialogue with [S1]/[S2] turns and nonverbal cues. Choose Bark for emotional narration and character voice, and Dia for back-and-forth conversations. Both are available on TextToSpeechAI.

Bark is unique in its ability to generate genuinely expressive speech with emotions and non-verbal sounds. It is slower than other engines but produces more human-like results for creative content. For faster synthesis, use Piper. For voice cloning, use F5-TTS or OpenVoice.

Technical Specs

  • Generation Speed Slow
  • Output Quality Very Good
  • Voice Cloning Not Supported
  • Languages 13
  • GPU VRAM 8-12GB
  • Credits/1000 chars 25

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