AI applications are set to contribute $15.7 trillion to the global economy by 2030, with 35% of businesses having already integrated AI technology.
AI Speech-to-Text, a component of Speech AI, uses cutting-edge Automatic Speech Recognition (ASR) models to transcribe and process speech into readable text. AI Speech-to-Text is also a critical foundation for other AI-powered applications that process or interact with speech data, including Audio Intelligence, Generative AI, and Large Language Models.
For those with limited or no coding experience who are interested in building or experimenting with AI-powered Speech-to-Text tools, there are many no-code and low-code integrations available today that can ease this process.
Here, we examine nine of these simple no-code and low-code integrations and SDKs to use to get started building with AI Speech-to-Text.
AssemblyAI API Documentation - www.assemblyai.com/docs/
AssemblyAI Python SDK Github repository - github.com/AssemblyAI/assemblyai-python-sdk
AssemblyAI JavaScript SDK Github repository - github.com/AssemblyAI/assemblyai-node-sdk
Zapier x AssemblyAI integration page - zapier.com/apps/assemblyai/integrations
Cloudflare Speech-to-Text tutorial - www.assemblyai.com/blog/transcribe-audio-cloudflar…
Recall.ai x AssemblyAI integration page - www.recall.ai/partners/assemblyai
Langchain integration tutorial - www.assemblyai.com/blog/announcing-langchainjs-int…
Semantic Kernal integration documentation - www.assemblyai.com/docs/integrations/semantic-kern…
Haystack integration documentation - github.com/AssemblyAI/assemblyai-haystack
Rivet quick start guide - www.assemblyai.com/docs/integrations/rivet
Rivet video tutorial - • Build AI App Prototypes Visually with...
00:00 Introduction
00:33 AssemblyAI Python and Javascript SDKs
01:24 Zapier
01:42 Cloudflare
02:04 Recall.ai
02:37 Langchain
03:07 Semantic Kernel
03:34 Haystack
03:50 Rivet
04:09 Get your free API key
04:21 Don't forget to subscribe!
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