9 no-code and low-code ways to build AI-powered Speech-to-Text tools

AI applications are projected to contribute $15.7 trillion to the global economy by 2030, with 35% of businesses already utilizing AI technology. Among these applications is AI Speech-to-Text, a crucial component of Speech AI that transcribes and processes speech into readable text. This technology serves as the foundation for other AI-powered applications that process or interact with speech data, such as Audio Intelligence, Generative AI, and Large Language Models. For individuals without coding experience who are interested in building or experimenting with AI Speech-to-Text tools, there are numerous no-code and low-code integrations available today to simplify the process. The article explores nine of these simple no-code and low-code integrations and SDKs for building AI Speech-to-Text applications: AssemblyAI Python SDK, AssemblyAI JavaScript SDK, Zapier, Cloudflare, Recall, Langchain (Python and JavaScript/TypeScript), Semantic Kernel, Rivet, and Haystack. These integrations allow users to transcribe audio files into text with minimal coding knowledge. The adoption of AI Speech-to-Text technology has given rise to various use cases across different industries. Video editing platforms are using it for advanced automatic transcription, subtitling, content distribution on social channels, and more. Telehealth platforms are leveraging this technology to capture patient-doctor conversations and enhance online therapy services. Ad targeting and brand protection platforms are building robust contextual advertising and dynamic ad insertion tools by integrating AI Speech-to-Text. Sales Intelligence Platforms are using the technology for analyzing audio data, summarizing conversations, transcribing real-time calls at scale, and recapping action items from calls. Finally, call analytics platforms are adding this functionality to speed up QA processes, efficiently review calls at scale, enable context-sharing among team members, and reduce manual tasks.