SpeechText.ai
HappyScribe
Transcri.io
Audext
Sonix
Trint
SpeechTexter - Online Voice Recognition
Transcribe
Adobe Podcast
Glambase
AdCreative.ai
Munch
Podcastle
ChatGPT
Fliki
TutorAI
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.
SpeechText.ai Adobe PodcastNo features have been listed yet.
Based on our record, Adobe Podcast seems to be a lot more popular than SpeechText.ai. While we know about 31 links to Adobe Podcast, 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.
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
Try using Adobe Podcast. It'll clear up and BG noise and echo. I use it for all my videos and its a lifesaver https://podcast.adobe.com/. Source: 7 months ago
Adobe Podcast | https://podcast.adobe.com | New York City, Bay Area, Remote | Full Time The Adobe Podcast team is looking for a Senior Software Engineer with a passion for creating great product experiences. Be part of a tightly knit team developing cutting edge innovations in the world of audio on the web and help define the future of this medium as it takes over the world. Senior Software Engineer, Web Audio... - Source: Hacker News / 9 months ago
Thank you for sharing! On a tangent: I'm wondering if there are any good open source models/libraries to reconstruct audio quality. I'm thinking about an open source alternative to something like Adobe Podcast [1] to make noisy recordings sound professional. Anecdotally, it's supposed to be very good. In a recent search, I haven't found anything convincing. In my naive view this tasks seems much simpler than audio... - Source: Hacker News / 9 months ago
Should you long term... NO... Can you short term to get the mic-ball rolling... yes!! Here is what I would offer up. Take the recording and either clean it up in audacity (if you know how) OR. go to https://podcast.adobe.com/ drop your vocal audio track(s) in there and they will clean it up for you for free. Up to 1.5 hrs. that way you get the best possible outcome within your starter budget. Source: 11 months ago
Ahh, ok. Unfortunately, if that's the case, I'm afraid there's no turning back. If it's dialogue (and you're unhappy with the result) you might try running it through Adobe Podcast Enhance (podcast.adobe.com) The AI can sometimes repair artifacts from denoising, while delivering a very clean-sounding VO. Worth a shot (if it's a voice file). Source: 12 months ago
HappyScribe - Happy Scribe automatically transcribes your interviews
Glambase - The Glambase platform provides the ability and the tools to create, promote, and monetize AI-powered virtual influencers.
Transcri.io - Online Sofware (SaaS) for Audio Transcription and Subtitle Generation | Powered by Artificial Intelligence
AdCreative.ai - Give your business an unfair advantage with creatives / banners generated by highly trained Artificial Intelligence.
Audext - Use online audio to text converter to transcribe any voice recording in minutes.
Munch - Munch is a group dining decision making app. End the back and forth discussion about what to eat.
