AudioGen vs Resemble AI
AudioGen
github.comResemble AI
resemble.aiSide by side
| Figure | AudioGen | Resemble AI |
|---|---|---|
| Price from | Free | $280/mo |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | — | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| iOS | — | Yes |
| Android | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 7 |
| Spec score · AI Sound Effect Generators | 8.8 (#2) | 8.8 (#3) |
| Intended users | The model card names audio, machine learning, and AI researchers, as well as amateurs learning about generative models, as primary users. | The company describes its offerings for developers and enterprises detecting AI fraud and protecting content. |
| Support | The model card directs questions and comments to the project’s GitHub repository or its issue tracker. | Enterprise solutions can include dedicated support, according to the pricing page. |
| What it does | AudioGen is a text-guided audio generation model that generates sounds from text. | Resemble AI provides multimodal deepfake detection, watermarking, identity verification, fraud intelligence and related enterprise security tools. |
Plans
Resemble AI
- FlexFree
- FlexFree
- Team annual$280 a month
- Team$350 a month
- Business annual$800 a month
- Business$1,000 a month
- EnterprisePriced on request
In their own words
AudioGen
AudioGen is a text-to-sound model provided through AudioCraft. It generates audio samples from text descriptions and can continue from an audio prompt, with conditional and unconditional generation modes. Sampling controls include greedy, temperature, top-K, and top-P methods. The listed pretrained model, facebook/audiogen-medium, has 1.5 billion parameters; the example API generates sound and saves it as WAV. The implementation uses an autoregressive Transformer and a 16 kHz EnCodec tokenizer. The repository provides API access and a local Jupyter notebook demo. Running the medium model locally requires a GPU with at least 16 GB of memory; installation requires Python 3.9 and PyTorch 2.1.0, with ffmpeg recommended. The model was trained on English descriptions and performs less well in other languages. It cannot generate realistic vocals, and prompts may need refinement. Code is MIT-licensed, while weights use CC-BY-NC 4.0; training datasets are not provided. The listed self-hosted plan is free.
Resemble AI
Resemble AI provides tools for detecting AI-generated audio, video and images, with results that include a score, verdict and human-readable explanations. DETECT-World handles multimodal detection, while Resemble Intelligence explains detection results. PerTh Multimodal adds imperceptible watermarks and identifies its output as EU AI Act compliant. Resemble Meetings detects synthetic voices and faces in real time on major meeting platforms. Listed integrations include Zoom, Google Meet, Microsoft Teams, Webex, Genesys, Five9, Twilio, Salesforce and Snowflake. The service offers API access and official Node.js and Python SDKs. Deployment options include managed cloud, on-premises, private cloud or VPC, and hybrid environments. Listed security provisions include GDPR, ISO 27001, SOC 2 Type II, HIPAA-aligned data handling, zero-retention mode and air-gapped deployment. The company describes its offerings for developers and enterprises detecting AI fraud and protecting content. Flex costs nothing; Team costs $350 a month. Flex has one team seat and does not include large-file uploads of 150MB or more or batch uploads.