Hundreds of startups are building the next generation of video and audio applications with AssemblyAI. As an early stage startup, you can get access to a discounted rate and free credits while you're getting your company off the ground.Start building now
We're a deep learning company, that researches and builds all of our own speech recognition models in-house. When you use AssemblyAI, you can be confident you're using the most accurate Speech-to-Text in your product.
As an early-stage startup, you can get access to up to $5,000 in free credits with the API. Once you exhaust your credits, you'll automatically be placed on a heavily discounted billing rate.
We know building a startup means late nights. Our team of developers is here to help as much or as little as you need!
In a single API call you can extract key phrases, detect and remove PII like credit card numbers, detect sensitive content like hate speech, and detect the topics of the content you're transcribing.
AssemblyAI's support jumped on a call on a Sunday, when I was trying to improve our transcript processing time. After testing the API, I was shocked that the transcript quality was closer to the human done transcripts I was getting, at a cost significantly cheaper than the Google option.
Conclusion - we needed speed, quality, low-cost and support. AssemblyAI won on all these fronts.
Startups that have raised less than $1M in funding, and that are less than 2 years old, qualify for our Startup Program. If you meet these requirements, all you need to do is send an email to email@example.com and we will get you set up!
All you need to do is email firstname.lastname@example.org and we'll get you set up!
Up to $5,000 in credits and 35% off our standard pricing.
Credits are available for 12 months, and the discounted billing rate lasts forever!
Checkout some of our recent research and product updates
An easy to follow Python tutorial on how to do speech recognition in under 25 lines of code. We extend our short example using AssemblyAI's API to a longer script and build a Python project that can automatically transcribe an mp3 into a txt file.