For a communications app that needs heavy AI integration for speech recognition and synthesis, AssemblyAI is a great option. The service offers a range of AI models for speech-to-text transcription, speaker identification, and sentiment analysis, all trained on 12.5 million hours of multilingual audio data. It supports more than 99 languages and has flexible integration tools for developers building AI products that need to ingest lots of voice data. Its pricing tiers include a free option, pay-as-you-go rates and discounts for large volumes, so it should work for a variety of use cases.
Another option is Deepgram, which offers speech-to-text, text-to-speech and audio intelligence APIs. It boasts high accuracy and low latency, making it suitable for voicebots, customer service tools and media transcription. The company offers a free API playground and detailed documentation to help you get started, and its flexible pricing includes a $200 credit to get started, as well as a variety of plans for different needs.
Speak is another option, particularly if your app involves a lot of audio and video processing. It offers tools to convert audio and video into text, meeting assistance and more. It supports more than 99 languages and integrates with tools like Zoom and Microsoft Teams, so it can help you automate a lot of your workflow. Its pricing is flexible, with individual, team and pay-as-you-go options, so it should work for a variety of customers.