AssemblyAI VS GitHub Copilot
Compare AssemblyAI VS GitHub Copilot 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.
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AssemblyAI
Deepgram
Speechmatics
Eleven Labs
Express Scribe
Google Cloud Speech API
Descript
Microsoft Bing Speech API
GitHub Copilot
Cursor
Windsurf Editor
Codeium
replit
Claude Code
Tabnine
Amazon CodeWhisperer
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.
Trained on billions of lines of public code, GitHub Copilot puts the knowledge you need at your fingertips, saving you time and helping you stay focused.
AssemblyAI GitHub CopilotAssemblyAI 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.
It definitely increases my productivity.
Based on our record, GitHub Copilot seems to be a lot more popular than AssemblyAI. While we know about 387 links to GitHub Copilot, we've tracked only 9 mentions of 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
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
You need an active GitHub Copilot subscription. Plans are available at individual, business, and enterprise tiers at github.com/features/copilot. Once active, all tools use your GitHub account credentials. - Source: dev.to / about 1 month ago
For over a decade PhpStorm (starting in my WordPress era) and later WebStorm have been my main IDEs for web development. So when GitHub Copilot launched, it was a natural choice to try it out in WebStorm. It was one of the first AI coding tools I used, and it had a big impact on how I thought about AI-assisted coding. - Source: dev.to / about 1 month ago
Before we get into it, there are some things about AI usage worth addressing. I've had my fair share of scepticism in the past, but recent model releases have made it increasingly difficult to argue that AI isn't a viable tool for the majority of workstreams, including building user interfaces. Most large language models are trained on public data scraped from the internet, which means your internal design system... - Source: dev.to / about 1 month ago
Most developers still treat GitHub Copilot like a very good autocomplete engine. That's useful, but it's not the real unlock. - Source: dev.to / about 2 months ago
Deepgram - Search engine for speech
Cursor - The AI-first Code Editor. Build software faster in an editor designed for pair-programming with AI.
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.
Codeium - Free AI-powered code completion for *everyone*, *everywhere*