Question: Looking for a speech-to-text AI tool that can handle low-quality audio and strong regional accents.

If you're looking for a speech-to-text AI tool that can handle poor quality audio and heavy regional accents, AssemblyAI could be a great option. It has a variety of AI models for speech-to-text transcription, including low-latency speech-to-text transcription and support for more than 99 languages. The platform is built to handle multilingual audio data and has high accuracy, which can be particularly useful for handling different accents and audio quality.

Another option with a lot of power is Gladia, which uses optimized Whisper ASR technology for high accuracy in speech-to-text transcription. Gladia offers multilingual speech-to-text translation and features like speaker diarization, code-switching and word-level timestamps. Its end-to-end security and encryption means it complies with EU and US privacy regulations.

SpeechText is also highly accurate for speech-to-text transcription and supports more than 30 languages. It can handle non-native speaker accents and offers a variety of features like domain-specific models, automatic punctuation and editing tools. SpeechText offers flexible pricing tiers and can be easily integrated into different applications using its API.

If you need a full-featured solution, Deepgram offers APIs for speech-to-text, text-to-speech and audio intelligence. It's got a reputation for high accuracy, low latency and low cost. Deepgram's platform is flexible and can be used for speech analytics, media transcription and contact centers, so it's a good choice for transcription and audio intelligence.