Amazing AI vs Whisper JAX
Side-by-side comparison · Updated September 2026
| Description | Amazing AI is Sindre Sorhus's free text-to-image app for compatible Apple devices. It runs Stable Diffusion 1.5 locally and is designed around a straightforward prompt-to-image workflow. It is useful for exploring visual ideas without buying cloud generation credits, especially when you want a native app with fewer model and editing choices. It is a fixed-model generator: choose a different workflow if importing LoRAs, editing an existing photo or generating video is central to your project. Describe the subject, composition and visual style in a detailed prompt, then review the generated image. To exclude unwanted elements, the developer documents adding a single ## separator followed by a negative prompt. On macOS you can preview thumbnails, move between images with arrow keys, save with Space and copy with Command+C. Saved images include prompt and generation metadata, which can help organize experiments and reproduce useful settings. The developer also lists batch generation for different prompts, Shortcuts support and automatic upscaling. These are workflow features, not a promise that every output is ready for commercial use. Compatibility is a practical decision point. The current App Store listing requires macOS 26 or later for Mac, and the developer specifies Apple silicon rather than Intel. The iPhone listing requires iOS 26 and an A17 Pro chip or later; the iPad listing requires iPadOS 26 and an M-series or A17 Pro chip. Check the device list in your local App Store before downloading. The model also uses substantial storage and memory, and the first generation may take longer because of model validation. We have not tested speed, battery use or output quality on specific hardware. Amazing AI is free without ads. The developer intentionally does not support custom models, inpainting or outpainting, and the FAQ says the current underlying library produces square images. Draw Things is a relevant alternative when you need imported models, local LoRA training, image-to-image editing or video; Amazing AI's simpler setup can suit people who want to concentrate on text prompts. The developer offers older macOS downloads and a non-App Store version, but says the latter does not receive automatic updates. Use the official download page to check the version and OS requirements. Local generation does not mean that the app never communicates externally. Its privacy statement says it collects no personal information and sends anonymous crash reports to Sentry. Review that distinction before using it in a sensitive workflow. The developer permits commercial and non-commercial use of generated images subject to the Creative ML OpenRAIL-M usage restrictions. That permission does not remove obligations concerning source material, recognizable people, trademarks or other third-party rights. The US App Store listing is rated 18+. Review the final image for artifacts and suitability before incorporating it into a design, presentation or publication. | Whisper-jax is an advanced application designed by sanchit-gandhi. It leverages machine learning models for efficient and accurate speech-to-text transcription. The application utilizes the Whisper model, providing real-time language processing and enabling users to extract textual content from audio files seamlessly. With a user-friendly interface and high adaptability, Whisper-jax stands out as a robust solution for various transcription needs. |
| Category | Image Generation | Speech-To-Text |
| Rating | No reviews | No reviews |
| Pricing | Free | Free |
| Starting Price | Free | Free |
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| Tags | local AItext-to-imageStable Diffusion 1.5Apple siliconnegative prompts | speech-to-texttranscriptionWhisper modelmachine learningreal-time processing |
| Features | ||
| Local Stable Diffusion 1.5 image generation | ||
| Free access without ads | ||
| Negative prompt syntax using ## | ||
| Batch generation of different prompts | ||
| Shortcuts support and automatic upscaling | ||
| macOS keyboard controls and saved-image metadata | ||
| Fixed model and square-image workflow | ||
| Real-time transcription | ||
| User-friendly interface | ||
| High accuracy | ||
| Adaptability to different audio inputs | ||
| Machine learning-driven | ||
| Leveraging Whisper model | ||
| Suitable for various transcription needs | ||
| Ease of use | ||
| Developed by sanchit-gandhi | ||
| Available on Hugging Face | ||
| View Amazing AI | View Whisper JAX | |
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