We're Happy Scribe, a 100% bootstrapped and profitable startup with 300k monthly users, based in Barcelona. We are on a mission to break language barriers globally and bring audiovisual content to all.
We are building the #1 Audiovisual Platform by combining state-of-the-art AI with trusted language experts to produce ****high-quality transcriptions, subtitles, and closed captions at speed.
We're 35 people at the moment, and we're building the team thoughtfully and with a lot of care.
Chance are, if you’re on this page, you might be interested in one of our open or upcoming positions.
https://s3-us-west-2.amazonaws.com/secure.notion-static.com/91c84539-a6dc-43d3-afa0-022b2653a0f3/trim_end.mp4
<aside> ☝ Some words to explain why we've created this page and why you received a link to it :-)
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Happy Scribe was started by André Bastié and Marc Assens on the bench of Dublin City University in May 2017. If you want to learn more, here’s a little extract from the book we wrote to help us on-board the newest members of the Happy Tribe: (Excuse the typos).
https://s3-us-west-2.amazonaws.com/secure.notion-static.com/6ba69945-4a06-4d9a-a51f-d40c88bffb40/HS-BOOK6.pdf
After conducting thousands of user interviews in our first year, we understood that the common approach to this market was broken.
Most companies focus on how they provide their service rather than what users really need. We found that users' key concerns were about what they would do with their transcription, the workflow behind the text file (Journalists transcribe interviews because it speeds up their writing process; Researchers do it because it enables them to gather more data; Video-Editors do it to add subtitles to increase their reach; etc..).
Our goal is to build a platform that standardises and productises the way people interact with transcripts and subtitles while seamlessly integrating our users' workflows.
After talking with dozens of experts in ML — including directors of the top ML labs in Ireland — it’s clear that the bottleneck to solve ASR is the dataset. The biggest open dataset in our field is Common Voice, a product of years of work from Mozilla.
We believe to have the most powerful data engine (Users and transcribers label transcripts by proofreading their transcripts and subtitles) for ASR. As of today, our dataset is 100x bigger than Mozilla’s, and we’re just scratching the surface of what’s possible.
Autonomous driving will be solved by a car company (Tesla), not by a fancy research lab. ASR will be solved by a transcription company. We aim to be this company. 👋