ListenRobo is an AI-powered transcription platform that accurately transcribes, summarizes, and translates media files (audio & video) into text or subtitles for content creators. Sign up now to start transcribing!
🌟 Gear up, folks! I'm stoked to introduce ListenRobo - the game-changing speech recognition tool taking the world by storm! 🔥💻
ListenRobo is a web app that solves the biggest pain points around audio transcription. Say goodbye to costly services and inefficient workflows. With ListenRobo, you get:
1️⃣ Affordability Unlocked - Up to 20-30x more cost-effective than market leaders for world-class speech-to-text! 💸💎
2️⃣ Lightning Speed - Transcribe hours of audio content in mere minutes, saving you tons of time! ⏱️🚀
3️⃣ Powerful Features - Transcription, translation, summarization, topic/intent detection, sentiment analysis - ListenRobo packs a punch! 🥊✨
4️⃣ Easy Integration - Seamless API for speech-to-text and language processing in your apps. 🔌👩💻
But that's not all! The first 300 ListenRobo pioneers get the stellar Lifetime Deal with UNLIMITED TRANSCRIPTION MINUTES! 🤯💫
Join the revolution by trying ListenRobo today. We're here to listen, learn, and reshape how you work with audio data. Let's build an accessible speech AI world together! 🚀🌍🤖
This looks fantastic. I would love to try the API for transcribing Youtube videos. Is the API permanently limited to 100 daily requests or is there an option to increase that?
Is there (or will there be) an option to point ListenRobo to the URL of a podcast hosted online (somewhere other than YouTube) and have it summarize and/or transcribe it?
Congrats on the launch. Been running some testing (your homepage option) for accuracy only against:
- Transcript.lol
- Adobe Podcast
- Descript
- AssemblyAI
- Audio.com
- SkeletonFingers
- Headliner
I tested clean audio and some old, muddy audio from the '70s/'80s, all between 35 and 45 minutes. The transcription speed is indeed blazing, and its accuracy (aside from a major caveat) doesn't suffer from that quickness.
That said, is it fair to assume what you're using "under the hood" is not "just translating" but is also interpreting based on context, which results in it making what looks like a more coherent output but that can, at times, be far off from the original audio? I ask because for the muddy audio, it "looked" great at first glance, but I realized it "transcribed" stuff that was not in line with the audio per se. The words were fitting, but the final statements were very misleading or altogether wrong. Assembly AI does this a lot. A product like Transcript LOL, on the other hand, seems to use a word-to-word effort, so some words are wrong, and sometimes entire chunks are awkward, but there's no (seeming) attempt at creating a cohesive sentence, so the result is, ultimately, a closer match to the original audio.
[NOTE: Anyone who's watched their speech-to-text text messages get rewritten before their eyes, this is the type of "interpretation" I'm speaking of where it thinks it knows better than you when it can't make out exactly what you said.]
For clean audio, this held up great. And your flash sale has me considering buying yet another transcription software, but before I jump in, do you have a roadmap?
Overall, super impressed. It's a crowded market, though, so the roadmap would help me know whether to invest in the ride. Much obliged!
The translation features on this are SO sick! I'm thinking of this from the Youtube perspective, and having multiple languages for your subtitles is a massive pain. Thanks for solving it!
I just used it, for Persian Language and for transcribing my videos which are back and forth interviews and I gotta say it's not that bad! I expected some difficulty with this specific language, but I was actually kind of surprised that it actually recognized many words correctly!
Yeah Ramandeep! You actually did it. It's super useful and it looks really awesome. Wishing you all the best on this amazing launch. Cheers my friend!
