AssemblyAI VS Cursor
Compare AssemblyAI VS Cursor and see what are their differences
AI agents that spec, build, test, and ship code โ with voice chat, deep GitHub integration, and zero LLM markup.
featured
AssemblyAI
Deepgram
Speechmatics
Eleven Labs
Express Scribe
Google Cloud Speech API
Descript
Microsoft Bing Speech API
Cursor
Claude Code
Windsurf Editor
GitHub Copilot
Lovable
warp by spolu
replit
VS Code
Build powerful AI experiences for your end users on the industryโs leading speech-to-text models.
The API offers high-accuracy transcribing and understanding accented speech, even with background noise or in a natural conversation. AI models are easy to integrate and always up-to-date. Join over 200,000 developers building with AssemblyAI and get started with $50 in free transcription credits.
AssemblyAI CursorAssemblyAI is recommended for software developers, businesses, and enterprises that require transcription services, real-time audio processing, or want to implement AI-driven analytics on audio content. It's particularly suitable for industries like media production, call centers, education, and any other sector that relies heavily on audio data.
Cursor is recommended for small to medium-sized businesses looking for an efficient customer relationship management (CRM) solution. It's ideal for teams that need an integrated system to manage customer interactions, support operations, and sales tracking.
Cursor might be a bit more popular than AssemblyAI. We know about 9 links to it since March 2021 and only 9 links to AssemblyAI. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Itโs about valueโsaving time, money, and effort. Traditional transcription services charged $1-2 per audio minute. Imagine needing 10 hours transcribedโthatโs $600 to $1,200, just to get your words on paper. With tools like Assembly AI charging $0.015 per minute (thatโs $0.90 for an hour), the cost drops dramatically. For companies dealing with large volumes of audio, this is a game changer. - Source: dev.to / over 1 year ago
The auto caption is from assemblyai.com, they do a pretty good job. As for manual, you can do `Add Layer` > `Text` from the short-form editor then trim each text layer. Its slow going though. Ideally we will figure out a better interface and build it. For now I recommend using the auto caption, then modifying it to your liking, if there is more than a few words it will probably be faster. Thanks for the kind words! Source: about 3 years ago
Assemblyai is a great tool for extracting transcripts from videos, I have used it for investor presentations from other sources. - Source: dev.to / almost 4 years ago
AssemblyAI is pioneering accurate and accessible speech recognition powered by cutting edge Deep Learning, Machine Learning, and AI research. Its Speech-to-Text API transcribes audio and video files and live audio streams with industry-best accuracy. In addition, the company offers Audio Intelligence APIs that secure higher ROI for users, including Sentiment Analysis, Topic Detection, Content Moderation, Auto... - Source: dev.to / over 4 years ago
Check out http://assemblyai.com/ - the API has pretty good Diarization results and is free for small volumes of data. Source: over 4 years ago
Cursor has spent the past week in headlines after confirming a partnership with SpaceX that could eventually lead to a $60 billion acquisition. The deal, for now, centres on training more capable coding models using SpaceXโs compute infrastructure. - Source: dev.to / 3 days ago
The step up from there is an editor with a built-in agent like Cursor, Google Antigravity, Windsurf, or VS Code with a coding extension. These are code editors with an AI agent living inside them, and the difference is the responsible party for getting things from place to place. Instead of the software creator shuttling code between windows, the AI agent edits the project files directly and runs the GitHub and... - Source: dev.to / 14 days ago
Where llms.txt genuinely gets read is a different layer: coding and agent tooling โ Cursor, Claude Code, GitHub Copilot, Windsurf โ pulling a documentation site's pages with less token waste, plus emerging agent protocols like OpenAI's Agents SDK. That's real, and it's growing fast. - Source: dev.to / 14 days ago
If you donโt believe me, go to Google AI Studio, get you an API key, create a project, then open Cursor, add the key, add whatever model they have available to use, run a task and you will see how models like Gemini 3.5 or 2.5 Flash which gives you 5 Requests Per Minute and 20 Requests Per Day will scream at you with hitting a limit rate. - Source: dev.to / 21 days ago
Here is an example how to connect Prometheus DB to Cursor AI code editor. - Source: dev.to / 10 months ago
Deepgram - Search engine for speech
Claude Code - Transform hours of debugging into seconds with a single command. Experience coding at thought-speed with Claude's AI that understands your entire codebaseโno more context switching, just breakthrough results.
Speechmatics - The most accurate and inclusive speech-to-text API ever released.
Windsurf Editor - Tomorrow's editor, today. Windsurf Editor is the first AI agent-powered IDE that keeps developers in the flow. Available today on Mac, Windows, and Linux.
Eleven Labs - The most realistic and versatile AI speech software, ever. Eleven brings the most compelling, rich and lifelike voices to creators and publishers seeking the ultimate tools for storytelling.
GitHub Copilot - Your AI pair programmer. With GitHub Copilot, get suggestions for whole lines or entire functions right inside your editor.