What's up AI vs Whisper (OpenAI)
Side-by-side comparison · Updated April 2026
| Description | WhatsupAI is a groundbreaking app that transcribes voice messages from popular messengers like WhatsApp, Signal, and Telegram into text and translates them into your native language when necessary. By utilizing artificial intelligence and translation technologies, this app ensures seamless communication, especially in noisy environments or when you can't listen to audio. Developed for iPhone by Christoph Doeffinger, WhatsupAI is free to download with available in-app purchases. | Whisper is a cutting-edge automatic speech recognition (ASR) system created by OpenAI. Trained on 680,000 hours of multilingual and multitask supervised data from the web, Whisper boasts improved robustness to accents, background noise, and technical language. It provides transcription services in multiple languages and translates those languages into English. Whisper uses an encoder-decoder Transformer architecture that captures 30-second audio chunks, converts them to log-Mel spectrograms, and predicts corresponding text captions. Its large and diverse dataset helps Whisper outperform existing systems in zero-shot performance across diverse scenarios. |
| Category | Transcription | Speech-To-Text |
| Rating | No reviews | No reviews |
| Pricing | N/A | N/A |
| Starting Price | N/A | N/A |
| Use Cases |
|
|
| Tags | voice message transcriptiontranslationWhatsAppSignalTelegram | Automatic Speech RecognitionASRSpeech RecognitionTranscriptionTranslation |
| Features | ||
| AI-powered voice message transcription | ||
| Translation into native languages | ||
| Compatibility with WhatsApp, Signal, Threema, and Telegram | ||
| Free to download with in-app purchases | ||
| Developed for iPhone | ||
| Effective in noisy environments | ||
| Seamless communication across languages | ||
| User-friendly interface | ||
| Enhanced accessibility | ||
| Screenshots for app preview | ||
| High robustness to accents and background noise | ||
| Supports multiple languages | ||
| Translates languages into English | ||
| Encoder-decoder Transformer architecture | ||
| Processes 30-second audio chunks | ||
| Predicts text captions with special tokens integration | ||
| Improved zero-shot performance | ||
| Open-source with detailed resources | ||
| Enables voice interfaces for applications | ||
| Outperforms on CoVoST2 for English translation | ||
| View What's up AI | View Whisper (OpenAI) | |