Developer Educator
Postman is a user-friendly tool for API testing, enabling users to send requests, debug, and automate tests within a collaborative environment. Today, we're releasing the Postman collection for the AssemblyAI API to empower you to learn and test our API from within Postman.
Learn how to transcribe audio and video files in your Ruby applications with AssemblyAI's Universal-1 speech recognition model.
Activepieces is an open-source, no-code automation platform that enables users to streamline workflows by connecting various applications and automating tasks.
We are thrilled to release the AssemblyAI C# .NET SDK. Use the SDK to transcribe audio asynchronously or in real-time, use our audio intelligence models, and apply LLMs to your audio data using LeMUR.
We are thrilled to release the AssemblyAI Ruby SDK. You can use the SDK to transcribe audio, use our audio intelligence model, and apply LLMs to your audio data using LeMUR.
Generate subtitles for your videos using the AssemblyAI app for Zapier.
The enhanced AssemblyAI app for Zapier is more flexible, supports more AssemblyAI features, and integrates more closely into the Zap editor.
Learn how to transcribe YouTube videos and generate SRT subtitles with Node.js and AssemblyAI in this easy-to-follow guide.
Learn how to create WebVTT subtitle files for videos using Node.js in this easy-to-follow guide.
Learn how to create SRT subtitle files for videos using Node.js in this easy-to-follow guide.
In this tutorial, you will learn how to automatically redact Personal Identifiable Information from audio and video files with Node.js and the AssemblyAI API.
Learn how to automatically summarize audio with Node.js and the AssemblyAI API.
Learn how to transcribe audio and video files into text that contains punctuation, casing, and formatting using the AssemblyAI JavaScript SDK.
Learn how to filter profanity from audio files using Node.js and the AssemblyAI API.
Create a Make scenario using the AssemblyAI app that watches a Google Drive folder for new audio files, and then creates both a transcript and an audio file in which PII is redacted.
We've been working with Make to make our Speech AI available to no-code builders. With the AssemblyAI app for Make, you can use our speech recognition models, audio intelligence models, and build generative features with LLMs.
Learn how to transcribe audio and video files in your Java applications with AssemblyAI's Universal-1 speech recognition model.
You can now integrate spoken audio data into Semantic Kernel .NET applications using the new AssemblyAI integration.
Develop an application that answers questions about .NET Rocks! using Semantic Kernel, GPT models, Chroma DB, and AssemblyAI transcriptions.
Transcribe audio files in your LlamaIndex.TS applications using the new AssemblyAI speech-to-text integration.
Learn how to apply LLMs to speech with AssemblyAI's new integration for LlamaIndex.TS, using TypeScript and Node.js.
In this tutorial, you'll learn how to create an application that transcribes the audio files (and video files) to text. You'll create a TypeScript backend on top of Cloudflare Workers and use the AssemblyAI APIs to transcribe the audio.
We're thrilled to release version 2.0 of the AssemblyAI Node SDK. The SDK has been rewritten from scratch using TypeScript and provides easy-to-use access to our API.
AssemblyAI transcription and LeMUR capabilities are part of Rivet, the IDE for developing AI applications.
Build an AI application that can answer questions about podcast episodes using Rivet's AI IDE and AssemblyAI's Rivet plugin for audio transcription and LeMUR.