SpeechText.AI can use one of several machine learning models to transcribe audio files based on the original type of the audio. It provides multiple pre-built models, and you can improve the quality of speech recognition for various types of audio. If you specify the type of the original audio, this will allow the service to process your audio files using a machine learning model trained from data similar to your file.
No features have been listed yet.
No Typogram videos yet. You could help us improve this page by suggesting one.
Based on our record, Typogram seems to be a lot more popular than SpeechText.ai. While we know about 30 links to Typogram, we've tracked only 2 mentions of SpeechText.ai. 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.
This year has been long one for my logo design tool, Typogram: nice surprises, unexpected failures, and lots, lots of grind. Source: 6 months ago
I work on a logo design tool, so I have a bunch of competitors. Source: 7 months ago
For example, for Typogram, we started with the problem of entrepreneurs trying to bootstrap / DIY their logos. I encountered this pain point directly from my professional experience as a designer. I had founder friends who used platforms like Fiver but didn’t get fruitful results. In the end, some of them used tools like PowerPoint to create logos, but they didn’t have guidance, and the logos were not functional... Source: 7 months ago
Hey Everyone! It's been almost two years since I quit my job and started my logo design tool startup, Typogram. When I first started, I wrote a daily series documenting the first 30 days of my journey. Recently, we publicly launched our tool. I returned to these posts to remind myself of the lessons I learned when I started this journey. Source: 7 months ago
Before we start, I would like to give you some background about my product. Typogram is a beginner friendly logo design tool for founders. Here is the timeline for Typogram's development for reference. I think a key takeaway here is that we started launching, and tried to start developing an audience before we had a full fledged product. Source: 7 months ago
Healthcare is one of the biggest industries in the world. Doctors, nurses, and other health care practitioners are using technology to enhance their performance. Voice recognition technologies and medical speech recognition software have become essential for healthcare providers. This sector includes many companies developing highly efficient voice recognition tools. Source: over 2 years ago
I also tried speechtext.ai which honestly did a very good job and I'm happy with it, but pricing wise it's too much. Source: almost 3 years ago
Motionbox.io - Motionbox is an easy and powerful collabrative video editor. Create your first video with subtitles, music, images to video, motion graphic elements, and much more.
Transcri.io - Online Sofware (SaaS) for Audio Transcription and Subtitle Generation | Powered by Artificial Intelligence
Nuelink - Nuelink is a social media scheduling and automation tool that lets you create collections of social posts either manually or automatically.
HappyScribe - Happy Scribe automatically transcribes your interviews
Google Fonts - Making the web more beautiful, fast, and open through great typography
Audext - Use online audio to text converter to transcribe any voice recording in minutes.